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Join Kyle, Nader, Vibhu, and swyx live at NVIDIA GTC next week!Now that AIE Europe tix are ~sold out, our attention turns to Miami and World's Fair!The definitive AI Accelerator chip company has more than 10xed this AI Summer:And is now a $4.4 trillion megacorp… that is somehow still moving like a startup. We are blessed to have a unique relationship with our first ever NVIDIA guests: Kyle Kranen who gave a great inference keynote at the first World's Fair and is one of the leading architects of NVIDIA Dynamo (a Datacenter scale inference framework supporting SGLang, TRT-LLM, vLLM), and Nader Khalil, a friend of swyx from our days in Celo in The Arena, who has been drawing developers at GTC since before they were even a glimmer in the eye of NVIDIA:Nader discusses how NVIDIA Brev has drastically reduced the barriers to entry for developers to get a top of the line GPU up and running, and Kyle explains NVIDIA Dynamo as a data center scale inference engine that optimizes serving by scaling out, leveraging techniques like prefill/decode disaggregation, scheduling, and Kubernetes-based orchestration, framed around cost, latency, and quality tradeoffs. We also dive into Jensen's “SOL” (Speed of Light) first-principles urgency concept, long-context limits and model/hardware co-design, internal model APIs (https://build.nvidia.com), and upcoming Dynamo and agent sessions at GTC.Full Video pod on YouTubeTimestamps00:00 Agent Security Basics00:39 Podcast Welcome and Guests07:19 Acquisition and DevEx Shift13:48 SOL Culture and Dynamo Setup27:38 Why Scale Out Wins29:02 Scale Up Limits Explained30:24 From Laptop to Multi Node33:07 Cost Quality Latency Tradeoffs38:42 Disaggregation Prefill vs Decode41:05 Kubernetes Scaling with Grove43:20 Context Length and Co Design57:34 Security Meets Agents58:01 Agent Permissions Model59:10 Build Nvidia Inference Gateway01:01:52 Hackathons And Autonomy Dreams01:10:26 Local GPUs And Scaling Inference01:15:31 Long Running Agents And SF ReflectionsTranscriptAgent Security BasicsNader: Agents can do three things. They can access your files, they can access the internet, and then now they can write custom code and execute it. You literally only let an agent do two of those three things. If you can access your files and you can write custom code, you don't want internet access because that's one to see full vulnerability, right?If you have access to internet and your file system, you should know the full scope of what that agent's capable of doing. Otherwise, now we can get injected or something that can happen. And so that's a lot of what we've been thinking about is like, you know, how do we both enable this because it's clearly the future.But then also, you know, what, what are these enforcement points that we can start to like protect?swyx: All right.Podcast Welcome and Guestsswyx: Welcome to the Lean Space podcast in the Chromo studio. Welcome to all the guests here. Uh, we are back with our guest host Viu. Welcome. Good to have you back. And our friends, uh, Netter and Kyle from Nvidia. Welcome.Kyle: Yeah, thanks for having us.swyx: Yeah, thank you. Actually, I don't even know your titles.Uh, I know you're like architect something of Dynamo.Kyle: Yeah. I, I'm one of the engineering leaders [00:01:00] and a architects of Dynamo.swyx: And you're director of something and developers, developer tech.Nader: Yeah.swyx: You're the developers, developers, developers guy at nvidia,Nader: open source agent marketing, brev,swyx: and likeNader: Devrel tools and stuff.swyx: Yeah. BeenNader: the focus.swyx: And we're, we're kind of recording this ahead of Nvidia, GTC, which is coming to town, uh, again, uh, or taking over town, uh, which, uh, which we'll all be at. Um, and we'll talk a little bit about your sessions and stuff. Yeah.Nader: We're super excited for it.GTC Booth Stunt Storiesswyx: One of my favorite memories for Nader, like you always do like marketing stunts and like while you were at Rev, you like had this surfboard that you like, went down to GTC with and like, NA Nvidia apparently, like did so much that they bought you.Like what, what was that like? What was that?Nader: Yeah. Yeah, we, we, um. Our logo was a chaka. We, we, uh, we were always just kind of like trying to keep true to who we were. I think, you know, some stuff, startups, you're like trying to pretend that you're a bigger, more mature company than you are. And it was actually Evan Conrad from SF Compute who was just like, you guys are like previousswyx: guest.Yeah.Nader: Amazing. Oh, really? Amazing. Yeah. He was just like, guys, you're two dudes in the room. Why are you [00:02:00] pretending that you're not? Uh, and so then we were like, okay, let's make the logo a shaka. We brought surfboards to our booth to GTC and the energy was great. Yeah. Some palm trees too. They,Kyle: they actually poked out over like the, the walls so you could, you could see the bread booth.Oh, that's so funny. AndNader: no one else,Kyle: just from very far away.Nader: Oh, so you remember it backKyle: then? Yeah I remember it pre-acquisition. I was like, oh, those guys look cool,Nader: dude. That makes sense. ‘cause uh, we, so we signed up really last minute, and so we had the last booth. It was all the way in the corner. And so I was, I was worried that no one was gonna come.So that's why we had like the palm trees. We really came in with the surfboards. We even had one of our investors bring her dog and then she was just like walking the dog around to try to like, bring energy towards our booth. Yeah.swyx: Steph.Kyle: Yeah. Yeah, she's the best,swyx: you know, as a conference organizer, I love that.Right? Like, it's like everyone who sponsors a conference comes, does their booth. They're like, we are changing the future of ai or something, some generic b******t and like, no, like actually try to stand out, make it fun, right? And people still remember it after three years.Nader: Yeah. Yeah. You know what's so funny?I'll, I'll send, I'll give you this clip if you wanna, if you wanna add it [00:03:00] in, but, uh, my wife was at the time fiance, she was in medical school and she came to help us. ‘cause it was like a big moment for us. And so we, we bought this cricket, it's like a vinyl, like a vinyl, uh, printer. ‘cause like, how else are we gonna label the surfboard?So, we got a surfboard, luckily was able to purchase that on the company card. We got a cricket and it was just like fine tuning for enterprises or something like that, that we put on the. On the surfboard and it's 1:00 AM the day before we go to GTC. She's helping me put these like vinyl stickers on.And she goes, you son of, she's like, if you pull this off, you son of a b***h. And so, uh, right. Pretty much after the acquisition, I stitched that with the mag music acquisition. I sent it to our family group chat. Ohswyx: Yeah. No, well, she, she made a good choice there. Was that like basically the origin story for Launchable is that we, it was, and maybe we should explain what Brev is andNader: Yeah.Yeah. Uh, I mean, brev is just, it's a developer tool that makes it really easy to get a GPU. So we connect a bunch of different GPU sources. So the basics of it is like, how quickly can we SSH you into a G, into a GPU and whenever we would talk to users, they wanted A GPU. They wanted an A 100. And if you go to like any cloud [00:04:00] provisioning page, usually it's like three pages of forms or in the forms somewhere there's a dropdown.And in the dropdown there's some weird code that you know to translate to an A 100. And I remember just thinking like. Every time someone says they want an A 100, like the piece of text that they're telling me that they want is like, stuffed away in the corner. Yeah. And so we were like, what if the biggest piece of text was what the user's asking for?And so when you go to Brev, it's just big GPU chips with the type that you want withswyx: beautiful animations that you worked on pre, like pre you can, like, now you can just prompt it. But back in the day. Yeah. Yeah. Those were handcraft, handcrafted artisanal code.Nader: Yeah. I was actually really proud of that because, uh, it was an, i I made it in Figma.Yeah. And then I found, I was like really struggling to figure out how to turn it from like Figma to react. So what it actually is, is just an SVG and I, I have all the styles and so when you change the chip, whether it's like active or not it changes the SVG code and that somehow like renders like, looks like it's animating, but it, we just had the transition slow, but it's just like the, a JavaScript function to change the like underlying SVG.Yeah. And that was how I ended up like figuring out how to move it from from Figma. But yeah, that's Art Artisan. [00:05:00]Kyle: Speaking of marketing stunts though, he actually used those SVGs. Or kind of use those SVGs to make these cards.Nader: Oh yeah. LikeKyle: a GPU gift card Yes. That he handed out everywhere. That was actually my first impression of thatNader: one.Yeah,swyx: yeah, yeah.Nader: Yeah.swyx: I think I still have one of them.Nader: They look great.Kyle: Yeah.Nader: I have a ton of them still actually in our garage, which just, they don't have labels. We should honestly like bring, bring them back. But, um, I found this old printing press here, actually just around the corner on Ven ness. And it's a third generation San Francisco shop.And so I come in an excited startup founder trying to like, and they just have this crazy old machinery and I'm in awe. ‘cause the the whole building is so physical. Like you're seeing these machines, they have like pedals to like move these saws and whatever. I don't know what this machinery is, but I saw all three generations.Like there's like the grandpa, the father and the son, and the son was like, around my age. Well,swyx: it's like a holy, holy trinity.Nader: It's funny because we, so I just took the same SVG and we just like printed it and it's foil printing, so they make a a, a mold. That's like an inverse of like the A 100 and then they put the foil on it [00:06:00] and then they press it into the paper.And I remember once we got them, he was like, Hey, don't forget about us. You know, I guess like early Apple and Cisco's first business cards were all made there. And so he was like, yeah, we, we get like the startup businesses but then as they mature, they kind of go somewhere else. And so I actually, I think we were talking with marketing about like using them for some, we should go back and make some cards.swyx: Yeah, yeah, yeah. You know, I remember, you know, as a very, very small breadth investor, I was like, why are we spending time like, doing these like stunts for GPUs? Like, you know, I think like as a, you know, typical like cloud hard hardware person, you go into an AWS you pick like T five X xl, whatever, and it's just like from a list and you look at the specs like, why animate this GP?And, and I, I do think like it just shows the level of care that goes throughout birth and Yeah. And now, and also the, and,Nader: and Nvidia. I think that's what the, the thing that struck me most when we first came in was like the amount of passion that everyone has. Like, I think, um, you know, you talk to, you talk to Kyle, you talk to, like, every VP that I've met at Nvidia goes so close to the metal.Like, I remember it was almost a year ago, and like my VP asked me, he's like, Hey, [00:07:00] what's cursor? And like, are you using it? And if so, why? Surprised at this, and he downloaded Cursor and he was asking me to help him like, use it. And I thought that was, uh, or like, just show him what he, you know, why we were using it.And so, the amount of care that I think everyone has and the passion, appreciate, passion and appreciation for the moment. Right. This is a very unique time. So it's really cool to see everyone really like, uh, appreciate that.swyx: Yeah.Acquisition and DevEx Shiftswyx: One thing I wanted to do before we move over to sort of like research topics and, uh, the, the stuff that Kyle's working on is just tell the story of the acquisition, right?Like, not many people have been, been through an acquisition with Nvidia. What's it like? Uh, what, yeah, just anything you'd like to say.Nader: It's a crazy experience. I think, uh, you know, we were the thing that was the most exciting for us was. Our goal was just to make it easier for developers.We wanted to find access to GPUs, make it easier to do that. And then all, oh, actually your question about launchable. So launchable was just make one click exper, like one click deploys for any software on top of the GPU. Mm-hmm. And so what we really liked about Nvidia was that it felt like we just got a lot more resources to do all of that.I think, uh, you [00:08:00] know, NVIDIA's goal is to make things as easy for developers as possible. So there was a really nice like synergy there. I think that, you know, when it comes to like an acquisition, I think the amount that the soul of the products align, I think is gonna be. Is going speak to the success of the acquisition.Yeah. And so it in many ways feels like we're home. This is a really great outcome for us. Like we you know, I love brev.nvidia.com. Like you should, you should use it's, it's theKyle: front page for GPUs.Nader: Yeah. Yeah. If you want GP views,Kyle: you go there, getswyx: it there, and it's like internally is growing very quickly.I, I don't remember You said some stats there.Nader: Yeah, yeah, yeah. It's, uh, I, I wish I had the exact numbers, but like internally, externally, it's been growing really quickly. We've been working with a bunch of partners with a bunch of different customers and ISVs, if you have a solution that you want someone that runs on the GPU and you want people to use it quickly, we can bundle it up, uh, in a launchable and make it a one click run.If you're doing things and you want just like a sandbox or something to run on, right. Like open claw. Huge moment. Super exciting. Our, uh, and we'll talk into it more, but. You know, internally, people wanna run this, and you, we know we have to be really careful from the security implications. Do we let this run on the corporate network?Security's guidance was, Hey, [00:09:00] run this on breath, it's in, you know, it's, it's, it's a vm, it's sitting in the cloud, it's off the corporate network. It's isolated. And so that's been our stance internally and externally about how to even run something like open call while we figure out how to run these things securely.But yeah,swyx: I think there's also like, you almost like we're the right team at the right time when Nvidia is starting to invest a lot more in developer experience or whatever you call it. Yeah. Uh, UX or I don't know what you call it, like software. Like obviously NVIDIA is always invested in software, but like, there's like, this is like a different audience.Yeah. It's aNader: widerKyle: developer base.swyx: Yeah. Right.Nader: Yeah. Yeah. You know, it's funny, it's like, it's not, uh,swyx: so like, what, what is it called internally? What, what is this that people should be aware that is going on there?Nader: Uh, what, like developer experienceswyx: or, yeah, yeah. Is it's called just developer experience or is there like a broader strategy hereNader: in Nvidia?Um, Nvidia always wants to make a good developer experience. The thing is and a lot of the technology is just really complicated. Like, it's not, it's uh, you know, I think, um. The thing that's been really growing or the AI's growing is having a huge moment, not [00:10:00] because like, let's say data scientists in 2018, were quiet then and are much louder now.The pie is com, right? There's a whole bunch of new audiences. My mom's wondering what she's doing. My sister's learned, like taught herself how to code. Like the, um, you know, I, I actually think just generally AI's a big equalizer and you're seeing a more like technologically literate society, I guess.Like everyone's, everyone's learning how to code. Uh, there isn't really an excuse for that. And so building a good UX means that you really understand who your end user is. And when your end user becomes such a wide, uh, variety of people, then you have to almost like reinvent the practice, right? Yeah. You haveKyle: to, and actually build more developer ux, right?Because the, there are tiers of developer base that were added. You know, the, the hackers that are building on top of open claw, right? For example, have never used gpu. They don't know what kuda is. They, they, they just want to run something.Nader: Yeah.Kyle: You need new UX that is not just. Hey, you know, how do you program something in Cuda and run it?And then, and then we built, you know, like when Deep Learning was getting big, we built, we built Torch and, and, but so recently the amount of like [00:11:00] layers that are added to that developer stack has just exploded because AI has become ubiquitous. Everyone's using it in different ways. Yeah. It'sNader: moving fast in every direction.Vertical, horizontal.Vibhu: Yeah. You guys, you even take it down to hardware, like the DGX Spark, you know, it's, it's basically the same system as just throwing it up on big GPU cluster.Nader: Yeah, yeah, yeah. It's amazing. Blackwell.swyx: Yeah. Uh, we saw the preview at the last year's GTC and that was one of the better performing, uh, videos so far, and video coverage so far.Awesome. This will beat it. Um,Nader: that wasswyx: actually, we have fingersNader: crossed. Yeah.DGX Spark and Remote AccessNader: Even when Grace Blackwell or when, um, uh, DGX Spark was first coming out getting to be involved in that from the beginning of the developer experience. And it just comes back to what youswyx: were involved.Nader: Yeah. St. St.swyx: Mars.Nader: Yeah. Yeah. I mean from, it was just like, I, I got an email, we just got thrown into the loop and suddenly yeah, I, it was actually really funny ‘cause I'm still pretty fresh from the acquisition and I'm, I'm getting an email from a bunch of the engineering VPs about like, the new hardware, GPU chip, like we're, or not chip, but just GPU system that we're putting out.And I'm like, okay, cool. Matters. Now involved with this for the ux, I'm like. What am I gonna do [00:12:00] here? So, I remember the first meeting, I was just like kind of quiet as I was hearing engineering VPs talk about what this box could be, what it could do, how we should use it. And I remember, uh, one of the first ideas that people were idea was like, oh, the first thing that it was like, I think a quote was like, the first thing someone's gonna wanna do with this is get two of them and run a Kubernetes cluster on top of them.And I was like, oh, I think I know why I'm here. I was like, the first thing we're doing is easy. SSH into the machine. And then, and you know, just kind of like scoping it down of like, once you can do that every, you, like the person who wants to run a Kubernetes cluster onto Sparks has a higher propensity for pain, then, then you know someone who buys it and wants to run open Claw right now, right?If you can make sure that that's as effortless as possible, then the rest becomes easy. So there's a tool called Nvidia Sync. It just makes the SSH connection really simple. So, you know, if you think about it like. If you have a Mac, uh, or a PC or whatever, if you have a laptop and you buy this GPU and you want to use it, you should be able to use it like it's A-A-G-P-U in the cloud, right?Um, but there's all this friction of like, how do you actually get into that? That's part of [00:13:00] Revs value proposition is just, you know, there's a CLI that wraps SSH and makes it simple. And so our goal is just get you into that machine really easily. And one thing we just launched at CES, it's in, it's still in like early access.We're ironing out some kinks, but it should be ready by GTC. You can register your spark on Brev. And so now if youswyx: like remote managed yeah, local hardware. Single pane of glass. Yeah. Yeah. Because Brev can already manage other clouds anyway, right?Vibhu: Yeah, yeah. And you use the spark on Brev as well, right?Nader: Yeah. But yeah, exactly. So, so you, you, so you, you set it up at home you can run the command on it, and then it gets it's essentially it'll appear in your Brev account, and then you can take your laptop to a Starbucks or to a cafe, and you'll continue to use your, you can continue use your spark just like any other cloud node on Brev.Yeah. Yeah. And it's just like a pre-provisioned centerswyx: in yourNader: home. Yeah, exactly.swyx: Yeah. Yeah.Vibhu: Tiny little data center.Nader: Tiny little, the size ofVibhu: your phone.SOL Culture and Dynamo Setupswyx: One more thing before we move on to Kyle. Just have so many Jensen stories and I just love, love mining Jensen stories. Uh, my favorite so far is SOL. Uh, what is, yeah, what is S-O-L-S-O-LNader: is actually, i, I think [00:14:00] of all the lessons I've learned, that one's definitely my favorite.Kyle: It'll always stick with you.Nader: Yeah. Yeah. I, you know, in your startup, everything's existential, right? Like we've, we've run out of money. We were like, on the risk of, of losing payroll, we've had to contract our team because we l ran outta money. And so like, um, because of that you're really always forcing yourself to I to like understand the root cause of everything.If you get a date, if you get a timeline, you know exactly why that date or timeline is there. You're, you're pushing every boundary and like, you're not just say, you're not just accepting like a, a no. Just because. And so as you start to introduce more layers, as you start to become a much larger organization, SOL is is essentially like what is the physics, right?The speed of light moves at a certain speed. So if flight's moving some slower, then you know something's in the way. So before trying to like layer reality back in of like, why can't this be delivered at some date? Let's just understand the physics. What is the theoretical limit to like, uh, how fast this can go?And then start to tell me why. ‘cause otherwise people will start telling you why something can't be done. But actually I think any great leader's goal is just to create urgency. Yeah. [00:15:00] There's an infiniteKyle: create compelling events, right?Nader: Yeah.Kyle: Yeah. So l is a term video is used to instigate a compelling event.You say this is done. How do we get there? What is the minimum? As much as necessary, as little as possible thing that it takes for us to get exactly here and. It helps you just break through a bunch of noise.swyx: Yeah.Kyle: Instantly.swyx: One thing I'm unclear about is, can only Jensen use the SOL card? Like, oh, no, no, no.Not everyone get the b******t out because obviously it's Jensen, but like, can someone else be like, no, likeKyle: frontline engineers use it.Nader: Yeah. Every, I think it's not so much about like, get the b******t out. It's like, it's like, give me the root understanding, right? Like, if you tell me something takes three weeks, it like, well, what's the first principles?Yeah, the first principles. It's like, what's the, what? Like why is it three weeks? What is the actual yeah. What's the actual limit of why this is gonna take three weeks? If you're gonna, if you, if let's say you wanted to buy a new computer and someone told you it's gonna be here in five days, what's the SOL?Well, like the SOL is like, I could walk into a Best Buy and pick it up for you. Right? So then anything that's like beyond that is, and is that practical? Is that how we're gonna, you know, let's say give everyone in the [00:16:00] company a laptop, like obviously not. So then like that's the SOL and then it's like, okay, well if we have to get more than 10, suddenly there might be some, right?And so now we can kind of piece the reality back.swyx: So, so this is the. Paul Graham do things that don't scale. Yeah. And this is also the, what people would now call behi agency. Yeah.Kyle: It's actually really interesting because there's a, there's a second hardware angle to SOL that like doesn't come up for all the org sol is used like culturally at aswyx: media for everything.I'm also mining for like, I think that can be annoying sometimes. And like someone keeps going IOO you and you're like, guys, like we have to be stable. We have to, we to f*****g plan. Yeah.Kyle: It's an interesting balance.Nader: Yeah. I encounter that with like, actually just with, with Alec, right? ‘cause we, we have a new conference so we need to launch, we have, we have goals of what we wanna launch by, uh, by the conference and like, yeah.At the end of the day, where isswyx: this GTC?Nader: Um, well this is like, so we, I mean we did it for CES, we did for GT CDC before that we're doing it for GTC San Jose. So I mean, like every, you know, we have a new moment. Um, and we want to launch something. Yeah. And we want to do so at SOL and that does mean that some, there's some level of prioritization that needs [00:17:00] to happen.And so it, it is difficult, right? I think, um, you have to be careful with what you're pushing. You know, stability is important and that should be factored into S-O-L-S-O-L isn't just like, build everything and let it break, you know, that, that's part of the conversation. So as you're laying, layering in all the details, one of them might be, Hey, we could build this, but then it's not gonna be stable for X, y, z reasons.And so that was like, one of our conversations for CES was, you know, hey, like we, we can get this into early access registering your spark with brev. But there are a lot of things that we need to do in order to feel really comfortable from a security perspective, right? There's a lot of networking involved before we deliver that to users.So it's like, okay. Let's get this to a point where we can at least let people experiment with it. We had it in a booth, we had it in Jensen's keynote, and then let's go iron out all the networking kinks. And that's not easy. And so, uh, that can come later. And so that was the way that we layered that back in.Yeah. ButKyle: It's not really about saying like, you don't have to do the, the maintenance or operational work. It's more about saying, you know, it's kind of like [00:18:00] highlights how progress is incremental, right? Like, what is the minimum thing that we can get to. And then there's SOL for like every component after that.But there's the SOL to get you, get you to the, the starting line. And that, that's usually how it's asked. Yeah. On the other side, you know, like SOL came out of like hardware at Nvidia. Right. So SOL is like literally if we ran the accelerator or the GPU with like at basically full speed with like no other constraints, like how FAST would be able to make a program go.swyx: Yeah. Yeah. Right.Kyle: Soswyx: in, in training that like, you know, then you work back to like some percentage of like MFU for example.Kyle: Yeah, that's a, that's a great example. So like, there's an, there's an S-O-L-M-F-U, and then there's like, you know, what's practically achievable.swyx: Cool. Should we move on to sort of, uh, Kyle's side?Uh, Kyle, you're coming more from the data science world. And, uh, I, I mean I always, whenever, whenever I meet someone who's done working in tabular stuff, graph neural networks, time series, these are basically when I go to new reps, I go to ICML, I walk the back halls. There's always like a small group of graph people.Yes. Absolute small group of tabular people. [00:19:00] And like, there's no one there. And like, it's very like, you know what I mean? Like, yeah, no, like it's, it's important interesting work if you care about solving the problems that they solve.Kyle: Yeah.swyx: But everyone else is just LMS all the time.Kyle: Yeah. I mean it's like, it's like the black hole, right?Has the event horizon reached this yet in nerves? Um,swyx: but like, you know, those are, those are transformers too. Yeah. And, and those are also like interesting things. Anyway, uh, I just wanted to spend a little bit of time on, on those, that background before we go into Dynamo, uh, proper.Kyle: Yeah, sure. I took a different path to Nvidia than that, or I joined six years ago, seven, if you count, when I was an intern.So I joined Nvidia, like right outta college. And the first thing I jumped into was not what I'd done in, during internship, which was like, you know, like some stuff for autonomous vehicles, like heavyweight object detection. I jumped into like, you know, something, I'm like, recommenders, this is popular. Andswyx: yeah, he did RexiKyle: as well.Yeah, Rexi. Yeah. I mean that, that was the taboo data at the time, right? You have tables of like, audience qualities and item qualities, and you're trying to figure out like which member of [00:20:00] the audience matches which item or, or more practically which item matches which member of the audience. And at the time, really it was like we were trying to enable.Uh, recommender, which had historically been like a little bit of a CP based workflow into something that like, ran really well in GPUs. And it's since been done. Like there are a bunch of libraries for Axis that run on GPUs. Uh, the common models like Deeplearning recommendation model, which came outta meta and the wide and deep model, which was used or was released by Google were very accelerated by GPUs using, you know, the fast HBM on the chips, especially to do, you know, vector lookups.But it was very interesting at the time and super, super relevant because like we were starting to get like. This explosion of feeds and things that required rec recommenders to just actively be on all the time. And sort of transitioned that a little bit towards graph neural networks when I discovered them because I was like, okay, you can actually use graphical neural networks to represent like, relationships between people, items, concepts, and that, that interested me.So I jumped into that at [00:21:00] Nvidia and, and got really involved for like two-ish years.swyx: Yeah. Uh, and something I learned from Brian Zaro Yeah. Is that you can just kind of choose your own path in Nvidia.Kyle: Oh my God. Yeah.swyx: Which is not a normal big Corp thing. Yeah. Like you, you have a lane, you stay in your lane.Nader: I think probably the reason why I enjoy being in a, a big company, the mission is the boss probably from a startup guy. Yeah. The missionswyx: is the boss.Nader: Yeah. Uh, it feels like a big game of pickup basketball. Like, you know, if you play one, if you wanna play basketball, you just go up to the court and you're like, Hey look, we're gonna play this game and we need three.Yeah. And you just like find your three. That's honestly for every new initiative that's what it feels like. Yeah.Vibhu: It also like shows, right? Like Nvidia. Just releasing state-of-the-art stuff in every domain. Yeah. Like, okay, you expect foundation models with Nemo tron voice just randomly parakeet.Call parakeet just comes out another one, uh, voice. TheKyle: video voice team has always been producing.Vibhu: Yeah. There's always just every other domain of paper that comes out, dataset that comes out. It's like, I mean, it also stems back to what Nvidia has to do, right? You have to make chips years before they're actually produced.Right? So you need to know, you need to really [00:22:00] focus. TheKyle: design process starts likeVibhu: exactlyKyle: three to five years before the chip gets to the market.Vibhu: Yeah. I, I'm curious more about what that's like, right? So like, you have specialist teams. Is it just like, you know, people find an interest, you go in, you go deep on whatever, and that kind of feeds back into, you know, okay, we, we expect predictions.Like the internals at Nvidia must be crazy. Right? You know? Yeah. Yeah. You know, you, you must. Not even without selling to people, you have your own predictions of where things are going. Yeah. And they're very based, very grounded. Right?Kyle: Yeah. It, it, it's really interesting. So there's like two things that I think that Amed does, which are quite interesting.Uh, one is like, we really index into passion. There's a big. Sort of organizational top sound push to like ensure that people are working on the things that they're passionate about. So if someone proposes something that's interesting, many times they can just email someone like way up the chain that they would find this relevant and say like, Hey, can I go work on this?Nader: It's actually like I worked at a, a big company for a couple years before, uh, starting on my startup journey and like, it felt very weird if you were to like email out of chain, if that makes [00:23:00] sense. Yeah. The emails at Nvidia are like mosh pitsswyx: shoot,Nader: and it's just like 60 people, just whatever. And like they're, there's this,swyx: they got messy like, reply all you,Nader: oh, it's in, it's insane.It's insane. They justKyle: help. You know, Maxim,Nader: the context. But, but that's actually like, I've actually, so this is a weird thing where I used to be like, why would we send emails? We have Slack. I am the entire, I'm the exact opposite. I feel so bad for anyone who's like messaging me on Slack ‘cause I'm so unresponsive.swyx: Your emailNader: Maxi, email Maxim. I'm email maxing Now email is a different, email is perfect because man, we can't work together. I'm email is great, right? Because important threads get bumped back up, right? Yeah, yeah. Um, and so Slack doesn't do that. So I just have like this casino going off on the right or on the left and like, I don't know which thread was from where or what, but like the threads get And then also just like the subject, so you can have like working threads.I think what's difficult is like when you're small, if you're just not 40,000 people I think Slack will work fine, but there's, I don't know what the inflection point is. There is gonna be a point where that becomes really messy and you'll actually prefer having email. ‘cause you can have working threads.You can cc more than nine people in a thread.Kyle: You can fork stuff.Nader: You can [00:24:00] fork stuff, which is super nice and just like y Yeah. And so, but that is part of where you can propose a plan. You can also just. Start, honestly, momentum's the only authority, right? So like, if you can just start, start to make a little bit of progress and show someone something, and then they can try it.That's, I think what's been, you know, I think the most effective way to push anything for forward. And that's both at Nvidia and I think just generally.Kyle: Yeah, there's, there's the other concept that like is explored a lot at Nvidia, which is this idea of a zero billion dollar business. Like market creation is a big thing at Nvidia.Like,swyx: oh, you want to go and start a zero billion dollar business?Kyle: Jensen says, we are completely happy investing in zero billion dollar markets. We don't care if this creates revenue. It's important for us to know about this market. We think it will be important in the future. It can be zero billion dollars for a while.I'm probably minging as words here for, but like, you know, like, I'll give an example. NVIDIA's been working on autonomous driving for a a long time,swyx: like an Nvidia car.Kyle: No, they, they'veVibhu: used the Mercedes, right? They're around the HQ and I think it finally just got licensed out. Now they're starting to be used quite a [00:25:00] bit.For 10 years you've been seeing Mercedes with Nvidia logos driving.Kyle: If you're in like the South San Santa Clara, it's, it's actually from South. Yeah. So, um. Zero billion dollar markets are, are a thing like, you know, Jensen,swyx: I mean, okay, look, cars are not a zero billion dollar market. But yeah, that's a bad example.Nader: I think, I think he's, he's messaging, uh, zero today, but, or even like internally, right? Like, like it's like, uh, an org doesn't have to ruthlessly find revenue very quickly to justify their existence. Right. Like a lot of the important research, a lot of the important technology being developed that, that's kind ofKyle: where research, research is very ide ideologically free at Nvidia.Yeah. Like they can pursue things that they wereswyx: Were you research officially?Kyle: I was never in research. Officially. I was always in engineering. Yeah. We in, I'm in an org called Deep Warning Algorithms, which is basically just how do we make things that are relevant to deep warning go fast.swyx: That sounds freaking cool.Vibhu: And I think a lot of that is underappreciated, right? Like time series. This week Google put out time. FF paper. Yeah. A new time series, paper res. Uh, Symantec, ID [00:26:00] started applying Transformers LMS to Yes. Rec system. Yes. And when you think the scale of companies deploying these right. Amazon recommendations, Google web search, it's like, it's huge scale andKyle: Yeah.Vibhu: You want fast?Kyle: Yeah. Yeah. Yeah. Actually it's, it, I, there's a fun moment that brought me like full circle. Like, uh, Amazon Ads recently gave a talk where they talked about using Dynamo for generative recommendation, which was like super, like weirdly cathartic for me. I'm like, oh my God. I've, I've supplanted what I was working on.Like, I, you're using LMS now to do what I was doing five years ago.swyx: Yeah. Amazing. And let's go right into Dynamo. Uh, maybe introduce Yeah, sure. To the top down and Yeah.Kyle: I think at this point a lot of people are familiar with the term of inference. Like funnily enough, like I went from, you know, inference being like a really niche topic to being something that's like discussed on like normal people's Twitter feeds.It's,Nader: it's on billboardsKyle: here now. Yeah. Very, very strange. Driving, driving, seeing just an inference ad on 1 0 1 inference at scale is becoming a lot more important. Uh, we have these moments like, you know, open claw where you have these [00:27:00] agents that take lots and lots of tokens, but produce, incredible results.There are many different aspects of test time scaling so that, you know, you can use more inference to generate a better result than if you were to use like a short amount of inference. There's reasoning, there's quiring, there's, adding agency to the model, allowing it to call tools and use skills.Dyno sort came about at Nvidia. Because myself and a couple others were, were sort of talking about the, these concepts that like, you know, you have inference engines like VLMS, shelan, tenor, TLM and they have like one single copy. They, they, they sort of think about like things as like one single copy, like one replica, right?Why Scale Out WinsKyle: Like one version of the model. But when you're actually serving things at scale, you can't just scale up that replica because you end up with like performance problems. There's a scaling limit to scaling up replicas. So you actually have to scale out to use a, maybe some Kubernetes type terminology.We kind of realized that there was like. A lot of potential optimization that we could do in scaling out and building systems for data [00:28:00] center scale inference. So Dynamo is this data center scale inference engine that sits on top of the frameworks like VLM Shilling and 10 T lm and just makes things go faster because you can leverage the economy of scale.The fact that you have KV cash, which we can define a little bit later, uh, in all these machines that is like unique and you wanna figure out like the ways to maximize your cash hits or you want to employ new techniques in inference like disaggregation, which Dynamo had introduced to the world in, in, in March, not introduced, it was a academic talk, but beforehand.But we are, you know, one of the first frameworks to start, supporting it. And we wanna like, sort of combine all these techniques into sort of a modular framework that allows you to. Accelerate your inference at scale.Nader: By the way, Kyle and I became friends on my first date, Nvidia, and I always loved, ‘cause like he always teaches meswyx: new things.Yeah. By the way, this is why I wanted to put two of you together. I was like, yeah, this is, this is gonna beKyle: good. It's very, it's very different, you know, like we've, we, we've, we've talked to each other a bunch [00:29:00] actually, you asked like, why, why can't we scale up?Nader: Yeah.Scale Up Limits ExplainedNader: model, you said model replicas.Kyle: Yeah. So you, so scale up means assigning moreswyx: heavier?Kyle: Yeah, heavier. Like making things heavier. Yeah, adding more GPUs. Adding more CPUs. Scale out is just like having a barrier saying, I'm gonna duplicate my representation of the model or a representation of this microservice or something, and I'm gonna like, replicate it Many times.Handle, load. And the reason that you can't scale, scale up, uh, past some points is like, you know, there, there, there are sort of hardware bounds and algorithmic bounds on, on that type of scaling. So I'll give you a good example that's like very trivial. Let's say you're on an H 100. The Maxim ENV link domain for H 100, for most Ds H one hundreds is heus, right?So if you scaled up past that, you're gonna have to figure out ways to handle the fact that now for the GPUs to communicate, you have to do it over Infin band, which is still very fast, but is not as fast as ENV link.swyx: Is it like one order of magnitude, like hundreds or,Kyle: it's about an order of magnitude?Yeah. Okay. Um, soswyx: not terrible.Kyle: [00:30:00] Yeah. I, I need to, I need to remember the, the data sheet here, like, I think it's like about 500 gigabytes. Uh, a second unidirectional for ENV link, and about 50 gigabytes a second unidirectional for Infin Band. I, it, it depends on the, the generation.swyx: I just wanna set this up for people who are not familiar with these kinds of like layers and the trash speedVibhu: and all that.Of course.From Laptop to Multi NodeVibhu: Also, maybe even just going like a few steps back before that, like most people are very familiar with. You see a, you know, you can use on your laptop, whatever these steel viol, lm you can just run inference there. All, there's all, you can, youcan run it on thatVibhu: laptop. You can run on laptop.Then you get to, okay, uh, models got pretty big, right? JLM five, they doubled the size, so mm-hmm. Uh, what do you do when you have to go from, okay, I can get 128 gigs of memory. I can run it on a spark. Then you have to go multi GPU. Yeah. Okay. Multi GPU, there's some support there. Now, if I'm a company and I don't have like.I'm not hiring the best researchers for this. Right. But I need to go [00:31:00] multi-node, right? I have a lot of servers. Okay, now there's efficiency problems, right? You can have multiple eight H 100 nodes, but, you know, is that as a, like, how do you do that efficiently?Kyle: Yeah. How do you like represent them? How do you choose how to represent the model?Yeah, exactly right. That's a, that's like a hard question. Everyone asks, how do you size oh, I wanna run GLM five, which just came out new model. There have been like four of them in the past week, by the way, like a bunch of new models.swyx: You know why? Right? Deep seek.Kyle: No comment. Oh. Yeah, but Ggl, LM five, right?We, we have this, new model. It's, it's like a large size, and you have to figure out how to both scale up and scale out, right? Because you have to find the right representation that you care about. Everyone does this differently. Let's be very clear. Everyone figures this out in their own path.Nader: I feel like a lot of AI or ML even is like, is like this. I think people think, you know, I, I was, there was some tweet a few months ago that was like, why hasn't fine tuning as a service taken off? You know, that might be me. It might have been you. Yeah. But people want it to be such an easy recipe to follow.But even like if you look at an ML model and specificKyle: to you Yeah,Nader: yeah.Kyle: And the [00:32:00] model,Nader: the situation, and there's just so much tinkering, right? Like when you see a model that has however many experts in the ME model, it's like, why that many experts? I don't, they, you know, they tried a bunch of things and that one seemed to do better.I think when it comes to how you're serving inference, you know, you have a bunch of decisions to make and there you can always argue that you can take something and make it more optimal. But I think it's this internal calibration and appetite for continued calibration.Vibhu: Yeah. And that doesn't mean like, you know, people aren't taking a shot at this, like tinker from thinking machines, you know?Yeah. RL as a service. Yeah, totally. It's, it also gets even harder when you try to do big model training, right? We're not the best at training Moes, uh, when they're pre-trained. Like we saw this with LAMA three, right? They're trained in such a sparse way that meta knows there's gonna be a bunch of inference done on these, right?They'll open source it, but it's very trained for what meta infrastructure wants, right? They wanna, they wanna inference it a lot. Now the question to basically think about is, okay, say you wanna serve a chat application, a coding copilot, right? You're doing a layer of rl, you're serving a model for X amount of people.Is it a chat model, a coding model? Dynamo, you know, back to that,Kyle: it's [00:33:00] like, yeah, sorry. So you we, we sort of like jumped off of, you know, jumped, uh, on that topic. Everyone has like, their own, own journey.Cost Quality Latency TradeoffsKyle: And I, I like to think of it as defined by like, what is the model you need? What is the accuracy you need?Actually I talked to NA about this earlier. There's three axes you care about. What is the quality that you're able to produce? So like, are you accurate enough or can you complete the task with enough, performance, high enough performance. Yeah, yeah. Uh, there's cost. Can you serve the model or serve your workflow?Because it's not just the model anymore, it's the workflow. It's the multi turn with an agent cheaply enough. And then can you serve it fast enough? And we're seeing all three of these, like, play out, like we saw, we saw new models from OpenAI that you know, are faster. You have like these new fast versions of models.You can change the amount of thinking to change the amount of quality, right? Produce more tokens, but at a higher cost in a, in a higher latency. And really like when you start this journey of like trying to figure out how you wanna host a model, you, you, you think about three things. What is the model I need to serve?How many times do I need to call it? What is the input sequence link was [00:34:00] the, what does the workflow look like on top of it? What is the SLA, what is the latency SLA that I need to achieve? Because there's usually some, this is usually like a constant, you, you know, the SLA that you need to hit and then like you try and find the lowest cost version that hits all of these constraints.Usually, you know, you, you start with those things and you say you, you kind of do like a bit of experimentation across some common configurations. You change the tensor parallel size, which is a form of parallelismVibhu: I take, it goes even deeper first. Gotta think what model.Kyle: Yes, course,ofKyle: course. It's like, it's like a multi-step design process because as you said, you can, you can choose a smaller model and then do more test time scaling and it'll equate the quality of a larger model because you're doing the test time scaling or you're adding a harness or something.So yes, it, it goes way deeper than that. But from the performance perspective, like once you get to the model you need, you need to host, you look at that and you say, Hey. I have this model, I need to serve it at the speed. What is the right configuration for that?Nader: You guys see the recent, uh, there was a paper I just saw like a few days ago that, uh, if you run [00:35:00] the same prompt twice, you're getting like double Just try itagain.Nader: Yeah, exactly.Vibhu: And you get a lot. Yeah. But the, the key thing there is you give the context of the failed try, right? Yeah. So it takes a shot. And this has been like, you know, basic guidance for quite a while. Just try again. ‘cause you know, trying, just try again. Did you try again? All adviceNader: in life.Vibhu: Just, it's a paper from Google, if I'm not mistaken, right?Yeah,Vibhu: yeah. I think it, it's like a seven bas little short paper. Yeah. Yeah. The title's very cute. And it's just like, yeah, just try again. Give it ask context,Kyle: multi-shot. You just like, say like, hey, like, you know, like take, take a little bit more, take a little bit more information, try and fail. Fail.Vibhu: And that basic concept has gone pretty deep.There's like, um, self distillation, rl where you, you do self distillation, you do rl and you have past failure and you know, that gives some signal so people take, try it again. Not strong enough.swyx: Uh, for, for listeners, uh, who listen to here, uh, vivo actually, and I, and we run a second YouTube channel for our paper club where, oh, that's awesome.Vivo just covered this. Yeah. Awesome. Self desolation and all that's, that's why he, to speed [00:36:00] on it.Nader: I'll to check it out.swyx: Yeah. It, it's just a good practice, like everyone needs, like a paper club where like you just read papers together and the social pressure just kind of forces you to just,Nader: we, we,there'sNader: like a big inference.Kyle: ReadingNader: group at a video. I feel so bad every time. I I, he put it on like, on our, he shared it.swyx: One, one ofNader: your guys,swyx: uh, is, is big in that, I forget es han Yeah, yeah,Kyle: es Han's on my team. Actually. Funny. There's a, there's a, there's a employee transfer between us. Han worked for Nater at Brev, and now he, he's on my team.He wasNader: our head of ai. And then, yeah, once we got in, andswyx: because I'm always looking for like, okay, can, can I start at another podcast that only does that thing? Yeah. And, uh, Esan was like, I was trying to like nudge Esan into like, is there something here? I mean, I don't think there's, there's new infant techniques every day.So it's like, it's likeKyle: you would, you would actually be surprised, um, the amount of blog posts you see. And ifswyx: there's a period where it was like, Medusa hydra, what Eagle, like, youKyle: know, now we have new forms of decode, uh, we have new forms of specula, of decoding or new,swyx: what,Kyle: what are youVibhu: excited? And it's exciting when you guys put out something like Tron.‘cause I remember the paper on this Tron three, [00:37:00] uh, the amount of like post train, the on tokens that the GPU rich can just train on. And it, it was a hybrid state space model, right? Yeah.Kyle: It's co-designed for the hardware.Vibhu: Yeah, go design for the hardware. And one of the things was always, you know, the state space models don't scale as well when you do a conversion or whatever the performance.And you guys are like, no, just keep draining. And Nitron shows a lot of that. Yeah.Nader: Also, something cool about Nitron it was released in layers, if you will, very similar to Dynamo. It's, it's, it's essentially it was released as you can, the pre-training, post-training data sets are released. Yeah. The recipes on how to do it are released.The model itself is released. It's full model. You just benefit from us turning on the GPUs. But there are companies like, uh, ServiceNow took the dataset and they trained their own model and we were super excited and like, you know, celebrated that work.ZoomVibhu: different. Zoom is, zoom is CGI, I think, uh, you know, also just to add like a lot of models don't put out based models and if there's that, why is fine tuning not taken off?You know, you can do your own training. Yeah,Kyle: sure.Vibhu: You guys put out based model, I think you put out everything.Nader: I believe I know [00:38:00]swyx: about base. BasicallyVibhu: without baseswyx: basic can be cancelable.Vibhu: Yeah. Base can be cancelable.swyx: Yeah.Vibhu: Safety training.swyx: Did we get a full picture of dymo? I, I don't know if we, what,Nader: what I'd love is you, you mentioned the three axes like break it down of like, you know, what's prefilled decode and like what are the optimizations that we can get with Dynamo?Kyle: Yeah. That, that's, that's, that's a great point. So to summarize on that three axis problem, right, there are three things that determine whether or not something can be done with inference, cost, quality, latency, right? Dynamo is supposed to be there to provide you like the runtime that allows you to pull levers to, you know, mix it up and move around the parade of frontier or the preto surface that determines is this actually possible with inference And AI todayNader: gives you the knobs.Kyle: Yeah, exactly. It gives you the knobs.Disaggregation Prefill vs DecodeKyle: Uh, and one thing that like we, we use a lot in contemporary inference and is, you know, starting to like pick up from, you know, in, in general knowledge is this co concept of disaggregation. So historically. Models would be hosted with a single inference engine. And that inference engine [00:39:00] would ping pong between two phases.There's prefill where you're reading the sequence generating KV cache, which is basically just a set of vectors that represent the sequence. And then using that KV cache to generate new tokens, which is called Decode. And some brilliant researchers across multiple different papers essentially made the realization that if you separate these two phases, you actually gain some benefits.Those benefits are basically a you don't have to worry about step synchronous scheduling. So the way that an inference engine works is you do one step and then you finish it, and then you schedule, you start scheduling the next step there. It's not like fully asynchronous. And the problem with that is you would have, uh, essentially pre-fill and decode are, are actually very different in terms of both their resource requirements and their sometimes their runtime.So you would have like prefill that would like block decode steps because you, you'd still be pre-filing and you couldn't schedule because you know the step has to end. So you remove that scheduling issue and then you also allow you, or you yourself, to like [00:40:00] split the work into two different ki types of pools.So pre-fill typically, and, and this changes as, as model architecture changes. Pre-fill is, right now, compute bound most of the time with the sequence is sufficiently long. It's compute bound. On the decode side because you're doing a full Passover, all the weights and the entire sequence, every time you do a decode step and you're, you don't have the quadratic computation of KV cache, it's usually memory bound because you're retrieving a linear amount of memory and you're doing a linear amount of compute as opposed to prefill where you retrieve a linear amount of memory and then use a quadratic.You know,Nader: it's funny, someone exo Labs did a really cool demo where for the DGX Spark, which has a lot more compute, you can do the pre the compute hungry prefill on a DG X spark and then do the decode on a, on a Mac. Yeah. And soVibhu: that's faster.Nader: Yeah. Yeah.Kyle: So you could, you can do that. You can do machine strat stratification.Nader: Yeah.Kyle: And like with our future generation generations of hardware, we actually announced, like with Reuben, this [00:41:00] new accelerator that is prefilled specific. It's called Reuben, CPX. SoKubernetes Scaling with GroveNader: I have a question when you do the scale out. Yeah. Is scaling out easier with Dynamo? Because when you need a new node, you can dedicate it to either the Prefill or, uh, decode.Kyle: Yeah. So Dynamo actually has like a, a Kubernetes component in it called Grove that allows you to, to do this like crazy scaling specialization. It has like this hot, it's a representation that, I don't wanna go too deep into Kubernetes here, but there was a previous way that you would like launch multi-node work.Uh, it's called Leader Worker Set. It's in the Kubernetes standard, and Leader worker set is great. It served a lot of people super well for a long period of time. But one of the things that it's struggles with is representing a set of cases where you have a multi-node replica that has a pair, right?You know, prefill and decode, or it's not paired, but it has like a second stage that has a ratio that changes over time. And prefill and decode are like two different things as your workload changes, right? The amount of prefill you'll need to do may change. [00:42:00] The amount of decode that you, you'll need to do might change, right?Like, let's say you start getting like insanely long queries, right? That probably means that your prefill scales like harder because you're hitting these, this quadratic scaling growth.swyx: Yeah.And then for listeners, like prefill will be long input. Decode would be long output, for example, right?Kyle: Yeah. So like decode, decode scale. I mean, decode is funny because the amount of tokens that you produce scales with the output length, but the amount of work that you do per step scales with the amount of tokens in the context.swyx: Yes.Kyle: So both scales with the input and the output.swyx: That's true.Kyle: But on the pre-fold view code side, like if.Suddenly, like the amount of work you're doing on the decode side stays about the same or like scales a little bit, and then the prefilled side like jumps up a lot. You actually don't want that ratio to be the same. You want it to change over time. So Dynamo has a set of components that A, tell you how to scale.It tells you how many prefilled workers and decoded workers you, it thinks you should have, and also provides a scheduling API for Kubernetes that allows you to actually represent and affect this scheduling on, on, on your actual [00:43:00] hardware, on your compute infrastructure.Nader: Not gonna lie. I feel a little embarrassed for being proud of my SVG function earlier.swyx: No, itNader: wasreallyKyle: cute. I, Iswyx: likeNader: it's all,swyx: it's all engineering. It's all engineering. Um, that's where I'mKyle: technical.swyx: One thing I'm, I'm kind of just curious about with all with you see at a systems level, everything going on here. Mm-hmm. And we, you know, we're scaling it up in, in multi, in distributed systems.Context Length and Co Designswyx: Um, I think one thing that's like kind of, of the moment right now is people are asking, is there any SOL sort of upper bounds. In terms of like, let's call, just call it context length for one for of a better word, but you can break it down however you like.Nader: Yeah.swyx: I just think like, well, yeah, I mean, like clearly you can engage in hybrid architectures and throw in some state space models in there.All, all you want, but it looks, still looks very attention heavy.Kyle: Yes. Uh, yeah. Long context is attention heavy. I mean, we have these hybrid models, um,swyx: to take and most, most models like cap out at a million contexts and that's it. Yeah. Like for the last two years has been it.Kyle: Yeah. The model hardware context co-design thing that we're seeing these days is actually super [00:44:00] interesting.It's like my, my passion, like my secret side passion. We see models like Kimmy or G-P-T-O-S-S. I'm use these because I, I know specific things about these models. So Kimmy two comes out, right? And it's an interesting model. It's like, like a deep seek style architecture is MLA. It's basically deep seek, scaled like a little bit differently, um, and obviously trained differently as well.But they, they talked about, why they made the design choices for context. Kimmy has more experts, but fewer attention heads, and I believe a slightly smaller attention, uh, like dimension. But I need to remember, I need to check that. Uh, it doesn't matter. But they discussed this actually at length in a blog post on ji, which is like our pu which is like credit puswyx: Yeah.Kyle: Um, in, in China. Chinese red.swyx: Yeah.Kyle: It's, yeah. So it, it's, it's actually an incredible blog post. Uh, like all the mls people in, in, in that, I've seen that on GPU are like very brilliant, but they, they talk about like the creators of Kimi K two [00:45:00] actually like, talked about it on, on, on there in the blog post.And they say, we, we actually did an experiment, right? Attention scales with the number of heads, obviously. Like if you have 64 heads versus 32 heads, you do half the work of attention. You still scale quadratic, but you do half the work. And they made a, a very specific like. Sort of barter in their system, in their architecture, they basically said, Hey, what if we gave it more experts, so we're gonna use more memory capacity.But we keep the amount of activated experts the same. We increase the expert sparsity, so we have fewer experts act. The ratio to of experts activated to number of experts is smaller, and we decrease the number of attention heads.Vibhu: And kind of for context, what the, what we had been seeing was you make models sparser instead.So no one was really touching heads. You're just having, uh,Kyle: well, they, they did, they implicitly made it sparser.Vibhu: Yeah, yeah. For, for Kimmy. They did,Kyle: yes.Vibhu: They also made it sparser. But basically what we were seeing was people were at the level of, okay, there's a sparsity ratio. You want more total parameters, less active, and that's sparsity.[00:46:00]But what you see from papers, like, the labs like moonshot deep seek, they go to the level of, okay, outside of just number of experts, you can also change how many attention heads and less attention layers. More attention. Layers. Layers, yeah. Yes, yes. So, and that's all basically coming back to, just tied together is like hardware model, co-design, which isKyle: hardware model, co model, context, co-design.Vibhu: Yeah.Kyle: Right. Like if you were training a, a model that was like. Really, really short context, uh, or like really is good at super short context tasks. You may like design it in a way such that like you don't care about attention scaling because it hasn't hit that, like the turning point where like the quadratic curve takes over.Nader: How do you consider attention or context as a separate part of the co-design? Like I would imagine hardware or just how I would've thought of it is like hardware model. Co-design would be hardware model context co-designKyle: because the harness and the context that is produced by the harness is a part of the model.Once it's trained in,Vibhu: like even though towards the end you'll do long context, you're not changing architecture through I see. Training. Yeah.Kyle: I mean you can try.swyx: You're saying [00:47:00] everyone's training the harness into the model.Kyle: I would say to some degree, orswyx: there's co-design for harness. I know there's a small amount, but I feel like not everyone has like gone full send on this.Kyle: I think, I think I think it's important to internalize the harness that you think the model will be running. Running into the model.swyx: Yeah. Interesting. Okay. Bash is like the universal harness,Kyle: right? Like I'll, I'll give. An example here, right? I mean, or just like a, like a, it's easy proof, right? If you can train against a harness and you're using that harness for everything, wouldn't you just train with the harness to ensure that you get the best possible quality out of,swyx: Well, the, uh, I, I can provide a counter argument.Yeah, sure. Which is what you wanna provide a generally useful model for other people to plug into their harnesses, right? So if youKyle: Yeah. Harnesses can be open, open source, right?swyx: Yeah. So I mean, that's, that's effectively what's happening with Codex.Kyle: Yeah.swyx: And, but like you may want like a different search tool and then you may have to name it differently or,Nader: I don't know how much people have pushed on this, but can you.Train a model, would it be, have you have people compared training a model for the for the harness versus [00:48:00] like post training forswyx: I think it's the same thing. It's the same thing. It's okay. Just extra post training. INader: see.swyx: And so, I mean, cognition does this course, it does this where you, you just have to like, if your tool is slightly different, um, either force your tool to be like the tool that they train for.Hmm. Or undo their training for their tool and then Oh, that's re retrain. Yeah. It's, it's really annoying and like,Kyle: I would hope that eventually we hit like a certain level of generality with respect to training newswyx: tools. This is not a GI like, it's, this is a really stupid like. Learn my tool b***h.Like, I don't know if, I don't know if I can say that, but like, you know, um, I think what my point kind of is, is that there's, like, I look at slopes of the scaling laws and like, this slope is not working, man. We, we are at a million token con

Amazon Creative Studio is a free AI-powered tool built directly into your Amazon Ads console that transforms basic product photos into professional lifestyle images, videos, and animations—without hiring an agency or learning design software.In this complete tutorial, you'll learn how to access Creative Studio, use its three core features (Image Generator, Video Generator, and Creative Agent chat), and master the prompting techniques that separate mediocre outputs from professional results. The tool is currently available across 10 markets including the US, UK, Canada, Germany, France, Italy, Spain, Australia, Brazil, and Mexico.Testing shows AI-generated creative can drive up to 40% higher click-through rates compared to basic product photos. You can generate finished assets in 5-10 minutes—work that typically takes agencies days or costs $3,000-$10,000 per project.We cover what's working (speed, cost, integration), what's not (brand consistency, occasional policy rejections), and exactly who should use this tool versus those who should skip it. Whether you're running ads with boring white-background images or testing video for the first time, this tool eliminates the biggest barrier: professional creative quality.Key Takeaways• Three core features work best: Start with Image Generation, progress to Video, then experiment with Creative Agent chat for full campaign concepts• Prompting matters significantly: Include context (who it's for), specifics (concrete details), and mood (emotional tone) for output quality that rivals professional designers• Best use case: Testing new products and campaigns with AI, then investing in professional production only for proven winners#AmazonCreativeStudio #AmazonAds #AICreativeStudio #AmazonAdvertising #EcommerceAI

Send us a text! We'd love to hear your thoughts on the show.If you've ever wondered what it takes to bring a whole historical world to life on the page—without losing your reader in the weeds—this episode is for you.In today's conversation on The Resilient Writers Radio Show, I'm joined by author Sharon Curcio, and we're talking about her indie-published historical novel, Asayi: An Autistic Teen's Journey to Topola Shogun in Medieval Japan. Sharon shares how this book (volume one of a trilogy) has already earned four medallions of excellence and a historical fiction finalist award from the Next Generation Indie Book Awards—and why readers have been responding so strongly to it.Sharon takes us back to the unexpected origin of this story: her early years in the advertising world in New York, and a deep fascination with sumi-e art—the traditional Japanese black-ink painting practice that demands intense precision and presence. That discipline, Sharon explains, was part of what catalyzed her long-term “journey into Japan,” eventually including a visit in 2024.From there, we dig into one of the most compelling creative choices in Sharon's novel: writing an autistic teenage heroine. Sharon describes a moment of realization—she could paint Japanese symbols beautifully, but she wasn't literate in Japanese and didn't know what the characters meant. As she approached retirement, she began to ask: what kind of child might live inside that gap between skill and spoken understanding? Her answer became Asaii—an autistic teen whose strengths, perception, and determination shape the entire story.We also talk about history. Sharon explains what a shogun actually is (and why it's more than “a warlord with a gang”), touching on the bakufu, legal structures, and the fierce importance of land in Japan, where only a small percentage is arable. Then she shares the real historical anchor point that sparked her plot research: the assassination of Yoshinori Ashikaga in 1441, an event Sharon uses as a fixed historical milestone while weaving fictional characters into the true historical timeline.One of the craft highlights of our conversation is Sharon's approach to a mute protagonist. In the novel, Asaii understands language but cannot speak it—and Sharon describes the challenges (and opportunities) of building a character who communicates through expression, action, and rapid sketching. It's a fascinating look at how story can move powerfully without relying on dialogue.We also chat indie publishing realities: the cover design process (including the surprising agony of getting sizing right for upload), Sharon's decision to publish independently to avoid years-long waits, and the marketing maze—what worked, what didn't (including Amazon Ads), and how podcasts and legitimate book clubs helped her reach real readers.

Warum verkaufen sich manche Bücher auf Amazon wie verrückt – obwohl man sich beim Blick ins Cover nur denkt: „Wer kauft denn sowas?“In dieser Folge des Verlagsniveau Podcasts analysieren Tom und Jonathan genau dieses Phänomen. Sie zeigen dir anhand konkreter Beispiele, warum scheinbar absurde Buchideen zu echten Bestsellern werden – und welche Muster du für dein eigenes Self-Publishing nutzen kannst.Von Klo-Rätselbüchern über Fluch-Malbücher bis hin zu extrem spitzen Nischen: Du erfährst, warum Humor, Polarisierung, Geschenkcharakter und cleveres Marketing auf TikTok oder Amazon Ads enorme Hebel sein können – selbst (oder gerade) bei ungewöhnlichen Themen.Du erfährst unter anderem:Warum „grenzwertiger“ Humor oft besonders gut verkauftWie Geschenk-Bücher zu Impulskäufen werdenWeshalb TikTok ein Gamechanger für virale Buchideen sein kannWarum extrem nischige Themen oft unterschätzt werdenWelche Gemeinsamkeiten erfolgreiche Trend-Bücher habenWieso du dich trauen solltest, auch ungewöhnliche Ideen umzusetzenDiese Episode ist ein Muss für alle, die im Self-Publishing neue Bestseller-Chancen erkennen und gezielt nutzen wollen – auch abseits der klassischen Mainstream-Nischen wie Kochbuch, Fitness oder Ratgeber.Hör rein und entdecke, wo deine nächste große Buchchance liegen könnte.Du möchtest in 2026 gemeinsam mit uns dein KDP Business aufbauen? Dann melde dich bei uns!Hier geht's zu deiner kostenlosen Strategie-Session:https://nomad-publishing.de/termin/Facebook GruppeTritt jetzt unser Facebook Community mit über 5.000Selfpublishern bei und erhalte bereits nach wenigen Minuten Antworten auf alledeine Fragen:https://www.facebook.com/groups/2163341583907774/Hier geht's zu unserem YouTube Kanal mit mehr als 200kostenlosen Tutorials:https://www.youtube.com/c/nomadpublishing

Amazon integriert KI immer tiefer in seine Advertising-Logik und öffnet mit der MCP-Beta erstmals die Schnittstelle für externe Agenten. Gleichzeitig verändert ein neues, KI-gestütztes Format für Sponsored Brands spürbar die operative Arbeit in der Advertising-Konsole: Amazon PPC wird effizienter, aber auch strategischer. Anna ordnet ein, welche dieser Veränderungen ihr aktiv steuern könnt und wo Amazon stärker mitentscheidet.Alle Themen der Episode im Überblick: News #1: Sponsored Brands Collections ersetzen Product Collection Ads (00:30)News #2: Amazon Ads startet eine offene MCP-Beta (01:52)News #3: Amazon testet automatische ROAS-Optimierung (03:10)News #4: Negative Bid Adjustments für Sponsored Brands werden eingestellt (04:14)News #5: Amazon rollt den Creative Agent jetzt auch in Europa aus (06:06)Links & Ressourcen:Rechner für Gebotsanpassungen nach Platzierung & ZielgruppeFragen & Anregungen:Hintergründe sowie weiterführende Informationen zum Podcast findest du unter: https://www.adference.com/podcast-vitamin-aFür Fragen und Feedback schreib mir auf LinkedIn: https://www.linkedin.com/in/florian-nottorf/ oder hinterlasse einen Kommentar auf YouTube: https://www.youtube.com/@ADFERENCEMail: vitamin-a@adference.com

Destaney and Sage talk about Sage's journey from scaling ecommerce at Celsius Energy Drinks to leading strategy at BTR Media and how that brand side experience shapes the way she approaches Amazon today.They discuss what it actually looks like to build demand instead of just harvesting it, and why upper funnel initiatives like Amazon Fire TV are driving more performance than most marketers expect. They dive into how to communicate test and learn strategies to leadership teams that are only focused on short term efficiency.They explore the shift from keyword first thinking to audience first strategy, the growing role of video, and how tools like AMC and Amazon's AI creative solutions are helping brands move faster while staying relevant.Connect with Sage on Linkedin: linkedin.com/in/sagegorbyConnect with Destaney on Linkedin: linkedin.com/in/destaney-wishonSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Marketing para escritores sin tiempo: cómo priorizar la escritura, reducir el desgaste en redes sociales y crear un sistema sostenible con SEO, email marketing y Amazon Ads que venda libros sin robarte energía creativa. Todos los enlaces mencionados los tienes aquí: https://marketingonlineparaescritores.com/marketing-para-escritores-sin-tiempo/

This special episode is recorded live from unBoxed London 2026, James Chandler (IAB UK) is joined by Jenny Liu (Amazon Ads) to unpack the latest innovation from Amazon Ads, the Creative Agent.Asad Khan (VodafoneThree) also joins James, to talk about how Amazon Ads DSP has evolved into a powerful programmatic solution. Hosted on Acast. See acast.com/privacy for more information.

Most sellers use the same Amazon PPC strategy across all their products — and it's silently bleeding their budget.In this episode of That Amazon Ads Podcast, Stephen, Andrew and Carly break down the 5 category traits to determine your Amazon Ads strategy for any vertical you sell in.From contribution margin and customer LTV, to consideration windows, AOV, and brand loyalty — every category on Amazon plays by completely different rules.We'll show you why a 500% ACoS can actually be profitable, when DSP and Sponsored Brands are worth every penny, and how the right Amazon PPC strategy can transform your campaign performance by category.Whether you're a brand owner, freelancer, or agency, this is the framework you've been missing.

Most authors don't have an ad problem.They have a patience problem.If you've ever stared at your Amazon dashboard 48 hours after launch and declared your campaign a disaster, this episode is for you.We're breaking down the 7-Day Amazon Ads Sanity Check — a structured, data-driven framework that keeps you from sabotaging campaigns before the algorithm has time to work. You'll learn what the learning phase actually means, which numbers matter in week one, and why obsessing over ACOS too early can send you in the wrong direction.We walk through:What to confirm in the first 48 hours (and what not to touch)Why impressions without clicks are diagnostic, not disastrousWhen 1,000 impressions with zero clicks is a real signalHow Amazon quietly penalizes low engagementWhy automatic campaigns are a brutal but honest positioning testHow your cover, category, and copy determine ad success before a single click happensWe also tackle one of the biggest myths in indie publishing: that ads can rescue a misaligned book. They can't. Ads amplify what already exists. If your positioning is weak, ads simply expose it faster.Instead of daily bid tinkering that resets learning, we outline a calm weekly review process, smart bid adjustments, portfolio caps that protect your budget, and the small one-percent improvements to your retail page that compound over time.If you're ready to replace dashboard doom-scrolling with disciplined strategy — and finally let your ads work 24/7 without emotional interference — this episode gives you the framework.Subscribe for more author-first marketing strategies, share this with a writer who needs ad clarity, and leave a review telling us one takeaway you'll apply this week.Send us your feedback!Help shape our 2026 content by taking our 30-second listener poll!

Marketing im Kopf - ein Podcast von Luis BinderIn dieser Folge wird über verschiedene Unternehmen gesprochen, da Markennamen genannt werden, handelt es sich um UNBEZAHLTE WERBUNG!In dieser Folge: In der heutigen Podcastfolge von Marketing im Kopf geht's darum, welche Zonen in den Läden besonders wertvoll sind, wie Kundinnen und Kunden sich durch den Laden bewegen und warum die Platzierung im Regal über Sichtbarkeit entscheidet. Außerdem schauen wir uns an, wie Marken über Zonen, Regalhöhen und Blockbildung gesteuert werden. Und es geht darum, warum Atmosphäre wie Licht, Musik und Gerüche beeinflusst, wie Marken wahrgenommen werden.____________________________________________Marketing-News der Woche:⁠2026 als Super-Sportjahr für MarkenDieses Jahr gibts viel Aufmerksamkeit rund um Wintersport, Handball und Fußball. Heißt also rechtzeitig planen, Creatives modular bauen und immer wieder Reichweite messen statt nur Kontaktpreis optimieren. Amazon Ads bringt „Creative Agent“ nach DeutschlandAmazon führt den Creative Agent in Deutschland ein und senkt damit die Hürde für Werbemittelproduktion. Spannend für E-Commerce und digitale Werbung, weil Geschwindigkeit (mehr Varianten, schneller testen) hier direkt zum Performance-Hebel wird.KI-Sichtbarkeit statt nur SEO: Analyse von 70.000 LLM-AntwortenEine Auswertung zeigt, wie stark sich die Suche Richtung KI-Antworten verschiebt und warum klassische SEO allein nicht mehr reicht. Inhalte müssen also immer stärker so gebaut sein, dass sie als Quelle in KI-Systemen „mitgenommen“ werden. TV-Kampagne bringt Direkt-Traffic zurück und entlastet Google-AbhängigkeitTrivago erreicht den Turnaround und führt das unter anderem auf die (ungeliebte) TV-Werbung zurück, statt über teure Umwege via Google zu gehen. Reichweite plus Wiedererkennung kann Performance-Kosten im Funnel also scheinbar immer noch senken.____________________________________________Vernetz dich gerne auf LinkedIn: ⁠https://www.linkedin.com/in/luisbinder/⁠ Instagram: https://www.instagram.com/marketingimkopf/Du hast Fragen, Anregungen oder Ideen? Melde dich unter: marketingimkopf@gmail.com Die Website zum Podcast findest du hier. [⁠⁠⁠https://bit.ly/2WN7tH5⁠⁠⁠]

Hard to Swallow Pills: PPC Can't Grow Your Sales. Do you think more Amazon PPC optimization will unlock unlimited growth? Here's the uncomfortable truth about Amazon Ads that most sellers refuse to accept.After perfecting your campaigns, what's the secret Amazon PPC strategy to keep doubling sales? There isn't one. Once your campaigns transition from inefficient to efficient, PPC reaches a ceiling and can't grow your sales anymore.In Episode 121 of That Amazon Ads Podcast, Stephen and Andrew reveal why 90% of accounts see massive wins in 30 days, then sales plateau completely. Hard to Swallow Pills: Your growth doesn't come from bid adjustments or campaign tweaks. It comes from category demand, market share dynamics, and catalog expansion.If your Amazon PPC performance stagnated after initial success, this episode explains exactly why and what to do next. Real sustainable growth requires strategies beyond Amazon Ads.

Walmart launches a Vine-style review program, Alexa+ rolls out globally, and a hidden Amazon Ads feature is driving conversions, not just awareness. More on this Weekly Buzz episode! We're back with another episode of the Weekly Buzz with Helium 10's Senior Brand Evangelist, Shivali Patel. Every week, we cover the latest breaking news in the Amazon, TikTok Shop, Walmart, and E-commerce space, talk about Helium 10's newest features, and provide a training tip for the week for serious sellers of any level. Walmart is rolling out an invite-only “Review Accelerator” (for recognized reviewers) program that lets sellers provide free product samples to a vetted pool of trusted reviewers, similar to Amazon Vine. If you receive the email link, you can enroll eligible items in the Seller Center, allocate review units, and potentially accelerate traction for new or low-review listings.   Alexa+ now available to everyone in the US—and free for Prime members https://www.aboutamazon.com/news/devices/alexa-plus-available-free-prime-members-us For our Helium 10 New Feature Alerts: Black Box now lets you paste or upload lists of ASINs (not just UPC/GTIN/EAN/ISBN) in Product Identifiers, up to 500, depending on your Helium 10 membership. This makes it easier to quickly research large sets of competitor or wholesale products in one search.   Drive brand awareness and engagement with Brand+ using Amazon Ads, now available to all globally https://advertising.amazon.com/en-us/resources/whats-new/drive-brand-awareness-and-engagement-with-brand-plus/ In our Strategy of the Week, Carrie explains how influencer-driven UGC videos can boost Amazon conversions and visibility, then shows how Helium 10's Influencer Finder for TikTok and Amazon helps you find creators already posting in your niche (and their social links) to outreach. This tool is available to Helium 10 Diamond users. Want access to the Amazon and TikTok Influencer Finder? Upgrade to Helium 10 Diamond and use code SSP20 to get 20% off, then start reaching out to proven creators in your niche today. New features and updates to Amazon's FBA Grade and Resell program https://sell.amazon.com/blog/announcements/fba-grade-and-resell-updates Upcoming Events: Bradley and Shivali will be in Dubai February 12–14 at the Commerce City Center—perfect if you want to meet in person, ask questions, and level up your business. Register for WORLDEF Dubai at http://h10.me/dubai Helium 10's TACoS Tuesday PPC webinar is a live, interactive Q&A where you can get real-time ad strategy tailored to your campaigns from Destaney Wishon. Ready to get live Amazon PPC help? Join us on Feb 10 at 10 AM PST and bring your questions—register now at https://h10.me/ttfeb26 In episode 494 of the AM/PM Podcast and Weekly Buzz, Shivali covers: 00:00 - Introduction 00:43 - Walmart Has Vine? 01:53 - Alexa+ Now Everywhere 04:06 - Bulk Product Research 05:35 - Convert with Brand+ 09:29 - Amazon Influencers 13:00 - FBA Grade and Resell 15:43 - Upcoming Events

In this episode of The MadTech Podcast, ExchangeWire's head of marketing, Grainne Reid, is joined by COO Lindsay Rowntree and John Still, head of content, to discuss three shifts across the AI, advertising, and digital media landscapes.  They look into Amazon Ads' Model Context Protocol, OpenAI's minimum spend for ChatGPT advertising, and Google shutting down an initiative comparing YouTube viewing with traditional TV and streaming.0:00 Introduction1:27 Amazon unveils MCP12:15 OpenAI testing ChatGPT ads21:39 Google halts Kantar & Barb initiative 

The CPG Guys are joined in this episode by Sarah Iooss, Director of Global Agency & Global Twitch at Amazon Ads, the retail media division of Amazon.This episode was recorded at CES 2026 in Las Vegas Nevada.Find Sarah on Linkedin at: Find Sarah on Linkedin at: Find Amazon Ads online at: Here's what we asked Sarah:What were kind of the key lessons or pivotal components of your experience that helped inform how you approach agency partnerships today?What does global agency development at Amazon ads mean to you?What are some of the most common misconceptions agencies may have about advertising on Amazon?How are agency relationships evolving and how are those partnerships working out, especially when I think of some of the smaller ones?How's Amazon ads really helping agencies connect those dots on a full funnel basis?Is streaming in video are central to full funnel strategies as you just opened that up?What are agencies getting right or still learning when it comes to working with Twitch communities?How are agencies taking advantage of these AI-powered tools in the shift to more automated, integrated workflows?Budgets are facing more scrutiny. What's resonating most with agencies when they talk to clients about efficiency measurement and improving impact on Amazon apps.CPG Guys Website: http://CPGguys.comFMCG Guys Website: http://FMCGguys.comSheCOMMERCE Website: https://shecommercepodcast.com/Rhea Raj's Website: http://rhearaj.comLara Raj in Katseye: https://www.katseye.world/DISCLAIMER: The content in this podcast episode is provided for general informational purposes only. By listening to our episode, you understand that no information contained in this episode should be construed as advice from CPGGUYS, LLC or the individual author, hosts, or guests, nor is it intended to be a substitute for research on any subject matter. Reference to any specific product or entity does not constitute an endorsement or recommendation by CPGGUYS, LLC. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represent.CPGGUYS LLC expressly disclaims any and all liability or responsibility for any direct, indirect, incidental, special, consequential or other damages arising out of any individual's use of, reference to, or inability to use this podcast or the information we presented in this podcast.

S6E1 Retail Media's New Reality: DSP Shifts, Agentic Commerce & Brand Strategy for 2026Season 6 of The Retail Razor Show kicks off with a deep dive into one of the most important topics in commerce today: retail media. Ricardo and Casey sit down with Jeff Cohen, Chief Business Development Officer at Skai, to unpack the newly released 2026 State of Retail Media Report, created in partnership with Stratably.This episode explores how brands, versus retailers, are navigating the rapid evolution of retail media. From DSP shifts and CTV growth to AI adoption and agentic commerce, measurement challenges, and the widening gap between leaders and laggards, this conversation delivers the insights every brand marketer needs heading into 2026.What We CoverWhy retail media now commands nearly 30% of US digital ad spendThe rise of retail media maturity and what separates leaders from laggardsWhy organizational structure is now a top predictor of retail media successThe growing importance of Amazon DSP and Amazon Marketing Cloud (AMC)How brands should evaluate incrementality, attribution, and ROIWhy CTV and sponsored brand video are acceleratingThe role of AI and agentic commerce in shaping future shopping journeysWhat brands must do in 2026 to stay competitiveDownload the 2026 State of Retail Media Report (free):https://skai.io/reports-and-whitepapers/2026-state-of-retail-media-report/Subscribe to the Retail Razor Podcast Network: https://retailrazor.com/Subscribe to our Newsletter: https://retailrazor.substack.comSubscribe to our YouTube channel: https://bit.ly/RRShowYouTubeAbout our GuestsJeff Cohen, Chief Business Development Officer, Skaihttps://www.linkedin.com/in/jeffreycohen/Jeff Cohen leads global business development at Skai, overseeing partnerships and innovation across the commerce media ecosystem. A recognized thought leader, he is focused on uniting brands, agencies, retailers, and publishers around the next era of growth. Previously, Jeff was Principal Evangelist at Amazon Ads.Chapters:00:00 Preview Teaser 00:53 Show Intro 03:45 Welcome Jeff Cohen 06:24 Retail Media Maturity and Brand Strategies 08:30 Leaders vs. Laggards in Retail Media 12:12 Organizational Structure and Retail Media Success 17:35 Amazon Ads and DSP Insights 24:36 Evaluating Performance Across Platforms 27:45 The Shift to Full Funnel Advertising 29:46 Challenges in Measurement and Attribution 30:50 The Role of AMC in Retail Media 33:01 Incrementality and Budget Constraints 35:45 AI's Impact on Retail Media 37:10 Strategies for Brands in an AI World 42:54 Key Takeaways and Final Thoughts 48:21 Show CloseMeet your hosts, helping you cut through the clutter in retail & retail tech:Ricardo Belmar is an NRF Top Retail Voice for 2025 and a RETHINK Retail Top Retail Expert from 2021 – 2026. Thinkers 360 has named him a Top 10 Thought Leader in Retail and AGI, a Top 50 Thought Leader in Management, Careers, and Transformation, and a Top 100 Thought Leader in Agentic AI and Digital Transformation. Thinkers 360 also named him a Top Digital Voice for 2024 and 2025. He is an advisory council member at George Mason University's Center for Retail Transformation and the Retail Cloud Alliance. He was most recently the partner marketing leader for retail & consumer goods in the Americas at Microsoft.Casey Golden is the North America Leader for Retail & Consumer Goods at CI&T, and CEO of Luxlock. She is a RETHINK Retail Top Retail Expert from 2023 - 2026, and Retail Cloud Alliance advisory council member. After a career on the fashion and supply chain technology side of the business, Casey is obsessed with the customer relationship between the brand and the consumer and is slaying franken-stacks and building retail tech! Includes music provided by imunobeats.com, featuring Overclocked, and E-Motive from the album Beat Hype, written by Heston Mimms, published by Imuno.

In this week's episode, we share five tips for effectively using Amazon Ads for indie authors. This coupon code will get you 25% off the ebooks in the Sevenfold Sword series at my Payhip store: SEVENFOLD25 The coupon code is valid through January 19, 2026. So if you need a new ebook this winter, we've got you covered! TRANSCRIPT 00:00:00 Introduction and Writing Updates Hello, everyone. Welcome to Episode 285 of The Pulp Writer Show. My name is Jonathan Moeller. Today is January the 9th, 2025 and today we are discussing five tips for Amazon ads for authors. We will also have Coupon of the Week and a progress update on my current writing and publishing projects. So let's start off with Coupon of the Week. First up is Coupon of the Week. This week's coupon code will get you 25% off the ebooks in the Sevenfold Sword series at my Payhip store. That coupon code is SEVENFOLD25. And as always, the coupon code and the links to my Payhip store will be available in the show notes for this episode. This coupon code will be valid through January the 19th, 2026. So if you need a new ebook for this winter, we've got you covered. And now for an update on my current writing and publishing and audiobook projects. As of this recording, I am about 68,000 words into Blade of Storms, which will be the third book in my Blades of Ruin epic fantasy series. I think the book will be about 100,000 words, give or take, so that means I'm 68% of the way through. And I'm really hoping I can finish the rough draft by the end of the week of the 12th, if all goes well. So hopefully finishing up the rough draft by the 16th or the 17th, if all goes well, but we'll see if I can get there or not. I am also 9,000 words into Cloak of Summoning, which will be the 14th book in the Cloak Mage series. Hopefully that will come out a month or so after Blade of Storms. I'm hoping Blade of Storms will come out in January, but it might be tight. And then Cloak of Summoning will come out the month after that. In audiobook news, Brad Wills is working on recording Blade of Shadows, the previous book in that series and Hollis McCarthy will start recording Cloak of Titans, the 11th book in the Cloak Mage series, at the end of this month. And a few people asked if Wizard-Assassin was going to have an audiobook. It will. Leanne Woodward will record it in March, if all goes well. So that is where I'm at with my current writing, publishing, and audiobook projects. 00:02:12 Main Topic of the Week: 5 Tips for Amazon Ads for Indie Writers And now let's move on to our main topic of the week, five tips for Amazon ads for indie writers. And let's not beat around the bush here. Amazon ads for writers can be extremely difficult to figure out, especially when you're just starting out. The advice you'll find online can be contradictory or confusing, and it doesn't help that books tend to act very strangely in terms of advertising compared to other products. A while back, I was chatting on Facebook with someone else who does Amazon ads, and he mainly does cosmetics reselling, and he was shocked by how much a click for an ebook would cost compared to a click for say like a six pack of shampoo or whatever. And that's just the nature of the market category that ebooks are in. Because of that, the advice you'll find online can be contradictory or confusing. Some Amazon ad experts insist that you devote at least an hour or even two a day to managing your ad results and then have intricate formula-filled spreadsheets for doing so, while others advise you to set them and forget them. Advice about the bids and spending vary wildly. It can be very easy to get overwhelmed or overspend starting out, but that doesn't have to be the case. I will say that compared to Facebook ads or BookBub ads, it is a lot harder to accidentally lose a lot of money on Amazon ads because regardless of how you configure your Facebook ads or your BookBub ads, Facebook in particular will cheerfully spend your ad budget and give you nothing in return if you haven't configured or targeted your ad correctly. By contrast, an Amazon ad that doesn't work tends not to display and therefore doesn't spend any of your money. So when I'm talking ad platforms for beginners, I tend to recommend that beginners start out more on Amazon ads just because it's much harder to lose money, but it's not impossible, which is something to keep in mind as we get into that. I'm not going to get into the individual specifics of how to set up Amazon ads today, since there's many other people out there who provide that information and probably do a better job than I would. That said, I'm going to just focus on broad principles based on things I've learned instead of providing a specific step-by-step guide for the topic. So without further ado, here are five lessons I've learned about Amazon ads for writers in the last eight or nine years that I've been learning them. #1: Do your research before you start. It can be tempting to dive in right away, but before you spend a single cent on Amazon ads, you should take the time to learn how the bidding process works and how keyword and category ads work. You should also familiarize yourself with other books and trends in your categories. Your book and its ad copy should feel like it belongs with the others in your category and genre. For example, having a neon pink, high heel boot, and flowers [on a cover] in the political thriller category doesn't match the colors since most political thriller books tend to have a solitary dark figure walking in the opposite direction of the camera and many, if not most of the books in the genre have that kind of cover design. Optimizing your book cover for the category before you start doing ads can make a huge difference in the ad results you see. And this is true on many levels as well since when indie authors ask, "Why isn't my book selling?", the number one thing to fix in like 90% of the cases is a bad cover that looks like it was done in Canva or was slapped out of an AI like Copilot or ChatGPT or something that is immediately off-putting to the reader because it's not attractive. You should also make a set budget before you start out and make sure that your daily budgets for your campaigns reflects that budget instead of using whatever daily budget or bids that Amazon suggests for your ad campaigns. Amazon likes to suggest pretty high suggested bids in daily spending limits, which isn't a great use of money if you're just starting to learn how the ads work. And as always, in business it is very, very, very good advice and a very good idea not to spend money that you don't actually have. #2: Targeting is everything. We've all seen baffling book results when browsing on Amazon. For example, once when I was searching for space opera books, a book on visiting Wisconsin Dells as a tourist showed up as a sponsored result in my search, which is insane because I was searching for space opera books. Sometimes an author will choose to advertise in too many categories or choose ad keywords that don't represent their book well. That's the most likely reason why you see things like that Wisconsin Dells book in search results that don't match it. I've told this story before on the podcast, but our transcriptionist once was taking a class on Amazon ads and heard someone say that they wanted to advertise their gritty memoir in every possible category because everyone should read their book. And I think that is a small-scale example of hubris because someone shopping for children's picture books or Spanish language technical manuals is very unlikely to buy that book. Someone looking for a romance novel might be actively annoyed if they start reading that gritty memoir expecting a happily ever after love story and might leave a negative review since they didn't get the book content that they expected. One of the foundational principles of book marketing is that your book is not in fact for everyone. Your book is for a subset of the reading population. The key to successful advertising is to find a way to advertise that book to the subset of the reading population that would actually be interested in reading your book. There's a reason that when you are publishing your book through Kindle Direct Publishing, Amazon wants you to pick three categories for your book and that is in part because they know books do their best when they're paired with other books in the specific topic or genre. It's not a bad thing to focus your desired audience for a book when marketing it. In fact, ad targeting will save you time and money and help people to find your book. Your goal isn't to find every possible reader for your book. It's to find the readers who are most likely to be interested in your book in the subset of the reading population that I was talking about earlier. The more focused that your category targeting is, the better this process will be. For example, picking romance as a category is so broad and so competitive that you might not get any traction at all on a small bid. Choosing a more targeted category like "Amish romance" or "clean and wholesome romance with a happily ever after ending" that is more targeted is better both for helping readers to find your work and for getting good results on your ads. #3: Start small. My best advice is to ignore Amazon's suggested bid amounts and start out with a small per click bid and daily budget. It may take a few weeks to see results using that method, but it's best to start small and gain some understanding of Amazon ads before you spend lots of money that you may not be able to earn back. Some smaller categories like children's books and technical manuals actually do pretty well with very small bids. Aggressive bids make more sense when you have the data to know that they're going to work well and reach the exact audience that you want to see them. As a new author, it's not your best bet to chase the biggest authors in your category as keyword targets. Bids for those authors will be extremely high and competitive. It's most likely better to find comparable authors in your categories with less expensive bids starting out. Amazon will suggest you advertise in a wide variety of countries (in fact, every country in which they currently offer the Amazon ads platform), but it's probably wisest to start out with just the US before expanding to other countries. Starting with Amazon's largest market will provide you with a lot of ad result data that you can use to refine your ads before you try them in other countries. If you're based outside the US, it may make more sense to start out with the country you're most familiar with. For example, if you're a UK author or a German author, you might have better luck starting advertising your books in Amazon Germany or Amazon UK than in Amazon US. #4: Be patient. And I have to admit this is the hardest one, whether you are just starting out or like me, if you've been self-publishing for almost 15 years because you want to see results now, now, now, but that's often not the case and the best results usually come with applied effort over a span of time. If you're just starting out and your bids are small, it will most likely take at least a few weeks to see a significant amount of impressions on your ads. Don't adjust for anything for at least a couple of weeks unless an ad is spending more than you'd like or is getting a lot of poorly targeted searches to it, which can frequently happen with autotarget ads. #5: Check your Amazon ads dashboard regularly. It's important to review your ad spending regularly and to keep an eye on it, not to maybe obsessively deep dive into it but to keep an eye on it. Sometimes an ad can go a bit haywire and start spending more than you want, seemingly at random. It's good to go into ads that are doing this and see if they need some negative targeting added to them or something needs to be adjusted. The reverse of that is to not check the dashboard obsessively. It can be tempting to do that, but it's what I call a writing adjacent activity that can take too much time away from your actual work of writing. For myself, what I do to check Amazon ads is I just glance at the dashboard at least once a day to make sure that the spending isn't out of control or there isn't something big and obvious that I need to fix. And then at the midpoint of the month and the end of the month, I do take about an hour to do a deep dive into each of the campaign groups I have running to make sure that they are turning a profit, which is the main point after all, and to make sure that nothing is going wrong. And I've been doing that schedule for a couple of years now and that works pretty well for me. Check the dashboard once a day and then a deep dive twice a month to make sure that nothing is going berserk or that something is broken that I need to fix. Now, your ad results can also teach you how people are searching for your books and what other topics and authors are searching for, and this can be a great source for creating keyword ads. I found in the last few years that keyword ads really work a lot better with nonfiction books. And if you're going to use them for fiction books, you need, at least in my experience, at least a very focused keyword ad list with like less than 10 keywords. But as always with anything in Amazon ads, your mileage may vary. So those are my five broad lessons for creating Amazon ads for your book. It can be a frustrating process and there is a bit of a learning curve, but it can also teach you a lot about your potential readers and how they are trying to find your books or what appeals to them about your books specifically. Like many things in life, there are many ways to do it and succeed, but these are a few of the things I've noticed make a difference when working with Amazon ads and I hope you will find them helpful. So that's it for this week. Thank you for listening to The Pulp Writer Show. I hope you found the show useful. A reminder that you can listen to all the back episodes on https://thepulpwritershow.com. If you enjoyed the podcast, please leave your review on your podcasting platform of choice. Stay safe and stay healthy and we'll see you all next week.

In this episode, Michael Erickson Facchin and Mansour Norouzi break down the biggest Amazon Ads updates following UnBox 2025. They talk about why the first half of the year felt tougher for many sellers, how to read market signals the right way, and how new tools — from the unified ad console and advanced reporting to AI assistants in DSP and AMC — can help brands make smarter decisions, stay profitable, and position themselves for growth heading into 2026.We'll see you in The PPC Den!

What does 2026 hold for indie authors and the publishing industry? I give my thoughts on trends and predictions for the year ahead. In the intro, Quitting the right stuff; how to edit your author business in 2026; Is SubStack Good for Indie Authors?; Business for Authors webinars. If you'd like to join my community and support the show every month, you'll get access to my growing list of Patron videos and audio on all aspects of the author business — for the price of a black coffee (or two) a month. Join us at Patreon.com/thecreativepenn. Joanna Penn writes non-fiction for authors and is an award-winning, New York Times and USA Today bestselling thriller author as J.F. Penn. She's also an award-winning podcaster, creative entrepreneur, and international professional speaker. You can listen above or on your favorite podcast app or read the notes and links below. Here are the highlights and the full transcript is below. (1) More indie authors will sell direct through Shopify, Kickstarter, and local in-person events (2) AI-powered search will start to shift elements of book discoverability (3) The start of Agentic Commerce (4) AI-assisted audiobook narration will go mainstream (5) AI-assisted translation will start to take off beyond the early adopters (6) AI video becomes ubiquitous. ‘Live selling' becomes the next trend in social sales. (7) AI will create, run, and optimise ads without the need for human intervention (8) 1000 True Fans becomes more important than ever You can find all my books as J.F. Penn and Joanna Penn on your favourite online store in all the usual formats, or order from your local library or bookstore. You can also buy direct from me at CreativePennBooks.com and JFPennBooks.com. I'm not really active on social media, but you can always see my photos at Instagram @jfpennauthor. 2026 Trends and Predictions for Indie Authors and Book Publishing (1) More indie authors will sell direct through Shopify, Kickstarter, and local in-person events — and more companies like BookVault will offer even more beautiful physical books and products to support this. This trend will not be a surprise to most of you! Selling direct has been a trend for the last few years, but in 2026, it will continue to grow as a way that independent authors become even more independent. The recent Written Word Media survey from Dec 2025 noted that 30% of authors surveyed are selling direct already and 30% say they plan to start in 2026. Among authors earning over $10,000 per month, roughly half sell direct. In my opinion, selling direct is an advanced author strategy, meaning that you have multiple books and you understand book marketing and have an email list already or some guaranteed way to reach readers. In fact, Kindlepreneur reports that 66% of authors selling direct have more than 5 books, and 46% have more than 10 books. Of course, you can start with the something small, like a table at a local event with a limited number of books for sale, but if you want to consistently sell direct for years to come, you need to consider all the business aspects. Selling direct is not a silver bullet. It's much harder work to sell direct than it is to just upload an ebook to Amazon, whether you choose a Kickstarter campaign, or Shopify/Payhip or other online stores, or regular in-person sales at events/conferences/fairs. You need a business mindset and business practices, for example, you need to pay upfront for setup as well as ongoing management, and bulk printing in some cases. You need to manage taxes and cashflow. You need to be a lot more proactive about marketing, as you won't sell anything if you don't bring readers to your books/products. But selling direct also brings advantages. It sets you apart from the bulk of digital only authors who still only upload ebooks to Amazon, or maybe add a print on demand book, and in an era of AI rapid creation, that number is growing all the time. If you sell direct, you get your customer data and you can reach those customers next time, through your email list. If you don't know who bought your books and don't have a guaranteed way to reach them, you will more easily be disrupted when things change — and they always change eventually. Kindlepreneur notes that “45% of the successful direct selling authors had over 1,000 subscribers on their email lists,” with “a clear, positive correlation between email list size and monthly direct sales income — with authors having an email list of over 15,000 subscribers earning 20X more than authors with email lists under 100 subscribers.” Selling direct means faster money, sometimes the same day or the same week in many cases, or a few weeks after a campaign finishes, as with Kickstarter. And remember, you don't have to sell all your formats directly. You can keep your ebooks in KU, do whatever you like with audiobooks, and just have premium print products direct, or start with a very basic Kickstarter campaign, or a table at a local fair. Lots more tips for Shopify and Kickstarter at https://www.thecreativepenn.com/selldirectresources/ I also recommend the Novel Marketing Podcast on The Shopify Trap: Why authors keep losing money as it is a great counterpoint to my positive endorsement of selling direct on Shopify! Among other things, Thomas notes that a fixed monthly fee for a store doesn't match how most authors make money from books which is more in spikes, the complexity and hassle eats time and can cost more money if you pay for help, and it can reduce sales on Amazon and weaken your ranking. Basically, if you haven't figured out marketing direct to your store, it can hurt you.All true for some authors, for some genres, and for some people's lifestyle. But for authors who don't want to be on the hamster wheel of the Amazon algorithm and who want more diversity and control in income, as well as the incredible creative benefits of what you can do selling direct, then I would say, consider your options in 2025, even if that is trying out a low-financial-goal Kickstarter campaign, or selling some print books at a local fair. Interestingly, traditional publishers are also experimenting with direct sales. Kate Elton, the new CEO of Harper Collins notes in The Bookseller's 2026 trend article, “we are seeing global success with responsive, reader-driven publishing, subscription boxes and TikTok Shop and – crucially – developing strategies that are founded on a comprehensive understanding of the reader.” She also notes, “AI enables us to dramatically change the way we interact with and grow audiences. The opportunities are genuinely exciting – finding new ways to help readers discover books they will love, innovating in the ways we market and reach audiences, building new channels and adapting to new methods of consuming content.” (2) AI-powered search will start to shift elements of book discoverability From LinkedIn's 2026 Big Ideas: “Generative engine optimization (GEO) is set to replace search engine optimization (SEO) as the way brands get discovered in the year ahead. As consumers turn to AI chatbots, agentic workflows and answer engines, appearing prominently in generative outputs will matter more than ranking in search engines.” Google has been rolling out AI Mode with its AI Overviews and is beginning to push it within Google.com itself in some countries, which means the start of a fundamental change in how people discover content online. I first posted about GEO (Generative Engine Optimisation) and AEO (Answer Engine Optimisation) in 2023, and it's going to change how readers find books. For years, we've talked about the long tail of search. Now, with AI-powered search, that tail is getting even longer and more nuanced. AI can understand complex, conversational queries that traditional search engines struggled with. Someone might ask, “What's a good thriller set in a small town with a female protagonist who's a journalist investigating a cold case?” and get highly specific recommendations. This means your book metadata, your website content, and your online presence need to be more detailed and conversational. AI search engines understand context in ways that go far beyond simple keywords. The authors who win in this new landscape will be those who create rich, authentic content about their books and themselves, not just promotional copy. As economist Tyler Cowen has said, “Consider the AIs as part of your audience. Because they are already reading your words and listening to your voice.” We're in the ‘organic' traffic phase right now, where these AI engines are surfacing content for ‘free,' but paid ads are inevitably on the way, and even rumoured to be coming this year to ChatGPT. By the end of 2026, I expect some authors and publishers to be paying for AI traffic, rather than blocking and protesting them. For now, I recommend checking that your author name/s and your books are surfaced when you search on ChatGPT.com as well as Google.com AI Mode (powered by Gemini). You want to make sure your work comes up in some way. I found that Joanna Penn and J.F. Penn searches brought up my Shopify stores, my website, podcast, Instagram, LinkedIn, and even my Patreon page, but did not bring up links to Amazon. If you only have an author presence on Amazon, does it appear in AI search at all? Do you need to improve anything about what the AI search brings up? Traditional publishers are also looking at this, with PublishersWeekly doing webinars on various aspects of AI in early 2026, including sessions on GEO and how book sales are changing, AI agents, and book marketing. In a 2026 predictions article on The Bookseller, the CEO of Bloomsbury Publishing noted, “The boundaries of artificial intelligence will become clearer, enabling publishers to harness its benefits while seeking to safeguard the intellectual property rights of authors, illustrators and publishers.” “AI will be deeply embedded in our workflows, automating tasks such as metadata tagging, freeing teams to focus on creativity and strategy. Challenges will persist. Generative AI threatens traditional web traffic and ad revenue models, making metadata optimisation and SEO critical for visibility as we adjust to this new reality online.” (3) The start of Agentic Commerce AI researches what you want to buy and may even buy on your behalf. Plus, I predict that Amazon does a commerce deal with OpenAI for shopping within ChatGPT by the end of 2026. In September 2025, ChatGPT launched Instant Checkout and the Agentic Commerce Protocol, which will enable bots to buy on websites in the background if authorised by the human with the credit card. VISA is getting on board with this, so is PayPal, with no doubt more payment options to come. In the USA, ChatGPT Plus, Pro, and Free users can now buy directly from US Etsy sellers inside the chat interface, with over a million Shopify merchants coming soon. Shopify and OpenAI have also announced a partnership to bring commerce to ChatGPT. I am insanely excited about this as it could represent the first time we have been able to more easily find and surface books in a much more nuanced way than the 7 keywords and 3 categories we have relied on for so long! I've been using ChatGPT for at least the last year to find fiction and non-fiction books as I find the Amazon interface is ‘polluted' by ads. I've discovered fascinating books from authors I've never heard of, most in very long tail areas. For example, Slashed Beauties by A. Rushby, recommended by ChatGPT as I am interested in medical anatomy and anatomical Venuses, and The Macabre by Kosoko Jackson, recommended as I like art history and the supernatural. I don't think I would have found either of these within a nuanced discussion with ChatGPT. Even without these direct purchase integrations, ChatGPT now has Shopping Research, which I have found links directly to my Shopify store when I search for my books specifically. Walmart has partnered with OpenAI to create AI-first shopping experiences, and you have to wonder what Amazon might be doing? In Nov 2025, Amazon signed a “strategic partnership” with OpenAI, and even though it's focused on the technical side of AI, those two companies in a room together might also be working on other plans … I'm calling it for 2026. I think Amazon will sign a commerce agreement with OpenAI sometime before the end of the year. This will enable at least recommendation and shopping links into Amazon stores (presumably using an OpenAI affiliate link), or perhaps even Instant Checkout with ChatGPT for Amazon. It will also enable a new marketing angle, especially if paid ads arrive in ChatGPT, perhaps even integrating with Amazon Ads in some way as part of any possible agreement, since ads are such a good revenue stream for Amazon anyway. The line between discovery, engagement, and purchase is collapsing. Someone could be having a conversation with an AI about what to read next, and within that same conversation, purchase a bookwithout ever leaving the chat interface. This already happens within TikTok and social commerce clearly works for many authors. It's possible that the next development for book discoverability and sales might be within AI chats. This will likely stratify the already fragmented book eco-system even more. Some readers will continue to live only within the Amazon ecosystem and (maybe) use their Rufus chatbot to buy, and others will be much wider in their exploration of how to find and discover books (and other products and services). If you haven't tried it yet, try ChatGPT.com Shopping Research for a book. You can do this on the free tier. Use the drop down in the main chat box and select Shopping Research. It doesn't have to be for your book. It can be any book or product, for example, our microwave died just before Christmas so I used it to find a new one. But do a really nuanced search with multiple requirements. Go far beyond what you would search for on Amazon. In the results, notice that (at the time of writing) it does not generally link to Amazon, but to independent sites and stores. As above, I think this will change by the end of 2026, as some kind of commerce deal with Amazon seems inevitable. (4) AI-assisted audiobook narration will go mainstream I've been talking about AI narration of audiobooks since 2019, and over the years, I've tried various different options. In 2025, the technology reached a level of emotional nuance that made it much easier to create satisfying fiction audio as well as non-fiction. It also super-charges accessibility, making audio available in more languages and more accents than ever before. Of course, human narration remains the gold standard, but the cost makes it prohibitive for many authors, and indeed many small traditional publishers, for all books. If it costs $2000 – $10,000 to create an audiobook, you have to sell a lot to make a profit, and the dominance of subscription models have made it harder to recoup the costs. Famous narrators and voice artists who have an audience may still be worth investing in, as well as premium production, but require an even higher upfront cost and therefore higher sales and streams in return. AI voice/audio models are continuing to improve, and even as this goes out, there are rumours on TechCrunch that OpenAI's new device, designed by Jony Ive who designed the iPhone, will be audio first and OpenAI are improving their voice models even more in preparation for that launch. In 2026, I think AI-narrated audio will go mainstream with far-reaching adoption across publishing and the indie author world in many different languages and accents. This will mean a further stratification of audiobooks, with high quality, high production, high cost human narrated audio for a small percentage of books, and then mass market, affordable AI-narrated audio for the rest. AI-narrated audiobooks will make audio ubiquitous, and just as (almost) every print book has an ebook format, in 2026, they will also have an audio format. I straddle both these worlds, as I am still a human audiobook narrator for my own work. I human-narrated Successful Self-Publishing Fourth Edition (free audiobook) and The Buried and the Drowned, my short story collection. I also use AI narration for some books. ElevenLabs remains my preferred service and in 2025, I used my J.F. Penn voice clone for Death Valley and also Blood Vintage, while using a male voice for Catacomb. I clearly label my AI-narration in the sales description and also on the cover, which I think is important, although it is not always required by the various services. You can distribute ElevenLabs narrated audiobooks on Spotify, Kobo Writing Life, YouTube, ElevenReader, and of course your own store if you use Shopify with Bookfunnel. There are many other services springing up all the time, so make sure you check the rights you have over the finished audio, as well as where you can sell and distribute the final files. If they are just using ElevenLabs models in the back-end, then why not just do that directly? (Most services will be using someone's model in the back-end, since most companies do not train their own models.) Of course, you can use Amazon's own narration. While Amazon originally launched Audible audiobooks with Virtual Voice (AVV) in November 2023, it was rolled out to more authors and territories in 2025. If your book is eligible, the option to create an audiobook will appear on your KDP dashboard. With just a few clicks, you can create an audiobook from a range of voices and accents, and publish it on Amazon and Audible. However, the files are not yours. They are exclusive to Amazon and you cannot use them on other platforms or sell them direct yourself. But they are also free, so of course, many authors, especially those in KU, will use this option. I have done some for my mum's sweet romance books as Penny Appleton and I will likely use them for my books in translation when the option becomes available. Traditional publishers are experimenting with AI-assisted audiobook narration as well. MacMillan is selling digital audiobooks read by AI directly on their store. PublishersWeekly reports that PRH Audio “has experimented with artificial voice in specific instances, such as entrepreneur Ely Callaway's posthumous memoir The Unconquerable Game,” when an “authorized voice replica” was created for the audiobook. The article also notes that PRH Audio “embrace artificial intelligence across business operations—my entire department [PRH Audio] is using AI for business applications.” And while indie authors can't use AI voices on ACX right now, Audible have over 100 voices available to selected publishing partnerships, as reported by The Guardian with “two options for publishers wishing to make use of the technology: “Audible-managed” production, or “self-service” whereby publishers produce their own audiobooks with the help of Audible's AI technology.” In 2026, it's likely that more traditional publishers — as well as indie authors — will get their backlist into audio with AI narration. (5) AI-assisted translation will start to take off beyond the early adopters Over the years, I've done translation deals with traditional publishers in different languages (German, French, Spanish, Korean, Italian) for some fiction and non-fiction books. But of course, to get these kinds of deals, you have to be proactive about pitching, or work with an agent for foreign rights only, and those are few and far between! There are also lots of languages and territories worldwide, and most deals are for the bigger markets, leaving a LOT of blue water for books in translation, even if you have licensed some of the bigger markets. I did my first partially AI-translated books in 2019 when I used Deepl.com for the first draft and then worked with a German editor to do 3 non-fiction books in German. While the first draft was cheap, the editing was pretty expensive, so I stopped after only doing a couple. I have made the money back now, but it took years. In 2025, AI Translation began to take off with ScribeShadow, GlobeScribe.ai, and more recently, in November 2025, Kindle Translate boosting the number of translated books available. Kindle Translate is (currently) only available to US authors for English into Spanish and also German into English, but in 2026, this will likely roll out to more languages and more authors, making it easier than ever to produce translations for free. Of course, once again, the gold standard is human translation, or at least human-edited translations, but the cost is prohibitive even just for proof-reading, and if there is a cheap or even free option, like Kindle Translate, then of course, authors are going to try it. If the translation gets bad reviews, they can just un-publish. There are many anecdotal stories of indie success in 2025 with AI-translated genre fiction sales (in series) in under-served markets like Italian, French, and Spanish, as well as more mainstream adoption in German. I was around in the Kindle gold-rush days of 2009-2012 and the AI-translation energy right now feels like that. There are hardly any Kindle ebooks in many of these languages compared to how many there are in English, so inevitably, the rush is on to fill the void, especially in genres that are under-served by traditional publishers in those markets. Yes, some of these AI translated books will be ‘AI-slop,' but readers are not stupid. Those books will get bad reviews and thus will sink to the bottom of the store, never to be seen again. The AI translation models are also improving rapidly, and Amazon's Kindle Translate may improve faster than most, for books specifically, since they will be able to get feedback in terms of page reads. Amazon is also a major investor in Anthropic, which makes Claude.ai, widely considered the best quality for creative writing and translation, so it's likely that is used somewhere in the mix. Some traditional publishers are also experimenting with AI-assisted translation, with Harlequin France reportedly using AI translation and human proofreaders, as reported by the European Council of Literary Translators' Associations in December 2025. Academic publisher Taylor and Francis is also using AI for book translation, noting: “Following a program of rigorous testing, Taylor & Francis has announced plans to use AI translation tools to publish books that would otherwise be unavailable to English-language readers, bringing the latest knowledge to a vastly expanded readership.” “Until now, the time and resources required to translate books has meant that the majority remained accessible only to those who could read them in the original language. Books that were translated often only became available after a significant delay. Today, with the development of sophisticated AI translation tools, it has become possible to make these important texts available to a broad readership at speed, without compromising on accuracy.” (6) AI video becomes ubiquitous. ‘Live selling' becomes the next trend in social sales. In 2025, short form AI-generated video became very high quality. OpenAI released Sora 2, and YouTube announced new Shorts creation tools with Veo 3, which you can also use directly within Gemini. There are tons of different AI video apps now, including those within the social media sites themselves. There is more video than ever and it's much easier to create. I am not a fan of short form video! I don't make it and I don't consume it, but I do love making book trailers for my Kickstarter campaigns and for adding to my book pages and using on social media. I made a trailer for The Buried and the Drowned using Midjourney for images and then animation of those images, and Canva to put them together along with ElevenLabs to generate the music. But despite the AI tools getting so much easier to use, you still have to prompt them with exactly what you want. I can't just upload my book and say, “Make a book trailer,” or “Make a short film.” This may change with generative video ads, which are likely to become more common in 2026, as video turns specifically commercial. Video ads may even be generated specifically for the user, with an audience of one, maybe even holding your book in their hands (using something like Cameos on Sora), in the same way that some AI-powered clothing stores do virtual try-ons. This might also up-end the way we discover and buy things, as the AI for eCommerce and Amazon Sellers newsletter says about OpenAI's Sora app, “OpenAI isn't just trying to build a TikTok competitor. They're building a complete reimagining of how we discover and buy things …” “The combination of ChatGPT's research capabilities and Sora's potential for emotional manipulation—I mean, “engagement”—could create something we've never seen before: an AI ecosystem that might eventually guide you through every type of purchase, from the most considered to the most impulsive.” In 2026, there will be A LOT more AI-generated video, but that also leads to the human trend of more live video. While you can use an AI avatar that looks and sounds like you using tools like HeyGen or Synthesia, live video has all the imperfect human elements that make it stand-out, plus the scarcity element which leads to the purchase decision within a countdown period. Live video is nothing new in terms of brand building and content in general, but it seems that live events primarily for direct sales might be a thing in 2026. Kim Kardashian hosted Kimsmas Live in December 2025 with a 45 minute live shopping event with special guests, described as entertainment but designed to be a sales extravaganza. Indie authors are doing a similar thing on TikTok with their books, so this is a trend to watch in 2026, especially if you feel that live selling might fit with your personality and author business goals. It's certainly not for everyone, but I suspect it will suit a different kind of creator to those who prefer ‘no face' video, or no video at all! On other aspects of the human side of social media, Adam Mosseri the CEO of Instagram put a post on Threads called Authenticity after Abundance. He said, “Everything that made creators matter—the ability to be real, to connect, to have a voice that couldn't be faked—is now suddenly accessible to anyone with the right tools.” “Deepfakes are getting better and better. AI is generating photographs and videos indistinguishable from captured media. The feeds are starting to fill up with synthetic everything. And in that world, here's what I think happens.Creators matter more.” It's a long article so just to pick a few things from it: “We like to talk about “AI slop,” but there is a lot of amazing AI content … we are going to start to see more and more realistic AI content.” I've talked to my Patreon Community about this ‘tsunami of excellence' as these tools are just getting better and better and the word ‘slop' can also be applied to purely human output, too. If you think that AI content is ‘worse' than wholly human content, in 2026, you are wrong. It is now very very good, especially in the hands of people who can drive the AI tools. Back to Adam's post: “Authenticity is fast becoming a scarce resource, …The creators who succeed will be those who figure out how to maintain their authenticity [even when it can be simulated] …” “The bar is going to shift from “can you create?” to “can you make something that only you could create?” He talks about how the personal content on Instagram now is: “unpolished; it's blurry photos and shaky videos of people's daily experiences … flattering imagery is cheap to produce and boring to consume. People want content that feels real… Savvy creators are going to lean into explicitly unproduced and unflattering images of themselves. In a world where everything can be perfected, imperfection becomes a signal. Rawness isn't just aesthetic preference anymore—it's proof. It's defensive. A way of saying: this is real because it's imperfect.” While I partially love this, and I really hope it's true, as in I hope we don't need to look good for the camera anymore I would also challenge Adam on this, because pretty much every woman I know on social media has been sent sexual messages, and/or told they are ugly and/or fat when posting anything unflattering. I've certainly had both even for the same content, but I don't expect Adam has been the target for such posting! But I get his point. He goes on:“Labeling content as authentic or AI-generated is only part of the solution though. We, as an industry, are going to need to surface much more context about not only the media on our platforms, but the accounts that are sharing it in order for people to be able to make informed decisions about what to believe. Where is the account? When was it created? What else have they posted?” This is exactly what I've been saying for a while under my double down on being human focus. I use my Instagram @jfpennauthor as evidence of humanity, not as a sales channel. You can do both of course, but increasingly, you need to make sure your accounts at places have longevity and trust, even by the platforms themselves. Adam finishes: “In a world of infinite abundance and infinite doubt, the creators who can maintain trust and signal authenticity—by being real, transparent, and consistent—will stand out.” For other marketing trends for 2026, I recommend publicist Kathleen Schmidt's SubStack which is mostly focused on traditional publishing but still interesting for indies. In her 2026 article, she notes: “We have reached a social media saturation point where going viral can be meaningless and should not be the goal; authenticity and creativity should. She also says, “In-person events are important again,” and, “Social media marketing takes a nosedive… we have reached a saturation point … What publishers must figure out is how to make their social media campaigns stand out. If they remain somewhat uninspired, the money spent on social ads won't convert into book sales.” I think this is part of the rise of live selling as above, which can stand out above more ‘produced' videos. Kathleen also talks about AI usage. “AI can help lighten the burden of publicity and marketing.” “A lot of AI tools are coming to market to lessen the load: they can write pitches, create media lists for you, send pitches for you, and more. I know the industry is grappling with all things AI, but some of these tools are huge time savers and may help a book more than hurt it.” On that note … (7) AI will create, run, and optimise ads without the need for human intervention Many authors will be very happy about this as marketing is often the bane of our author business lives! As I noted in my 2026 goals, I would love to outsource more marketing tasks to AI. I want an “AI book marketing assistant” where I can upload a book and specify a budget and say, ‘Go market this,' then the AI will action the marketing, without me having to cobble together workflows between systems. Of course, it will present plans for me to approve but it will do the work itself on the various platforms and monitor and optimize things for me. I really hope 2026 is the year this becomes possible, because we are on the edge of it already in some areas. Amazon Ads launched a new agentic AI tool in September 2025 that creates professional-quality ads. I've also been working with Claude in Chrome browser to help me analyse my Amazon Ad data and suggest which keywords/products to turn off and what to put more budget into. I'll do a Patreon video on that soon. Meta announced it will enable AI ad creation by the end of 2026 for Facebook and Instagram. For authors who find ad creation overwhelming or time-consuming, this could be a game-changer. Of course, you will still need a budget! (8) 1000 True Fans becomes more important than ever Lots of authors and publishers are moaning about the difficulty of reaching readers in an era of ‘AI slop' but there is no shortage of excellent content created by humans, or humans using AI tools. As ever, our competition is less about other authors, or even authors using AI-assisted creation, we're competing against everything else that jostles for people's attention, and the volume of that is also growing exponentially. I've never been a fan of rapid release, and have said for years that you can't keep up with the pace of the machines. So play a different game. As Kevin Kelly wrote in 2008, If you have 1000 true fans, (also known as super fans), “you can make a living — if you are content to make a living but not a fortune.” [Kevin Kelly was on this show in 2023 talking about Excellent Advice for Living.] Many authors and the publishing industry are stuck in the old model of aiming to sell huge volumes of books at a low profit margin to a massive number of readers, many of them releasing ever faster to try and keep the algorithms moving. But the maths can work for the smaller audience of more invested readers and fans. If you only make $2 profit on an ebook, you need to sell 500 ebooks to make $1000, and then do it again next month. Or you can have a small community like my patreon.com/thecreativepenn where people pay $2 (or more) a month, so even a small revenue per person results in a better outcome over the year, as it is consistent monthly income with no advertising. But what if you could make $20 profit per book? That is entirely possible if you're producing high quality hardbacks on Kickstarter, or bundle deals of audiobooks, or whole series of ebooks. You would only need to sell to 50 people to make $1000. What about $100 profit per sale, which you can do with a small course or live event? You only need 10 people to make $1000, and this in-person focus also amplifies trust and fosters human connection. I've found the intimacy of my live Patreon Office Hours and also my webinars have been rewarding personally, but also financially, and are far more memorable — and potentially transformative — than a pre-recorded video or even another book. From the LinkedIn 2026 Big Ideas article: “In an AI-optimized world, intentional human connection will become the ultimate luxury.” The 1000 True Fans model is about serving a smaller, more personal audience with higher value products (and maybe services if that's your thing). As ever, its about niche and where you fit in the long long long long long tail. It's also about trust. Because there is definitely a shortage of that in so many areas, and as Adam Mosseri of Instagram has said, trust will be increasingly important. Trust takes time to build, but if you focus on serving your audience consistently, and delivering a high quality, and being authentic, this emerges as part of being human. In an echo of what happened when online commerce first took off, we are back to talking about trust. Back in 2010, I read Trust Agents: by Julien Smith and Chris Brogan, which clearly needs a comeback. There was a 10th anniversary edition published in 2020, so that's worth a read/listen. Chris Brogan was also on this show in 2017 when we talked about finding and serving your niche for the long term. That interview is still relevant, here's a quick excerpt, where I have (lightly edited) his response to my question on this topic back in 2017: Jo: The principle of know, like, and trust, why is that still important or perhaps even more important these days? Chris: There are a few things that at play there, Joanna. One is that the same tools that make it so easy for any of us to start and run a business also allow certain elements to decide whether or not they want to do something dubious. And with all new technologies that come, you know, there's nothing unique about these new technologies. In the 1800s, anyone could put anything in a bottle and sell it to you and say, this is gonna cure everything. Cancer — gone. And the bottle could have nothing in. You know, it could be Kool-Aid. And so, the idea of trying to understand what's behind the business though, one beautiful thing that's come is that we can see in much more dimensions who we're dealing with. We can understand better who's the face behind the brand. I really want people to try their best to be a lot clearer on what they stand for or what they say. And I don't really mean a tagline. I mean, humans don't really talk like that. They don't throw some sentence out as often as they can that you remember them for that phrase. But I would say that, we have so many media available to us — the plural of mediums — where we can be more of ourselves. And I think that there's a great opportunity to share the ‘you' behind the scenes, and some people get immediately terrified about this, ‘Ah, the last thing I want is for people to know more about me,' but I think we have such an opportunity. We have such an opportunity to voice our thoughts on something, to talk about the story that goes behind the product. We were all raised on overly produced material, but I think we don't want that anymore. We really want clarity, brevity, simplicity. We want the ability for what we feel is connection and then access. And so I think it's vital that we connect and show people our accessibility, not so that they can pester us with strange questions, but more so that you can say, this person stands with their product and their service and this person believes these things, and I feel something when I hear them and I wanna be part of that.” That's from Chris Brogan's interview here in 2017, and he is still blogging and speaking at writing at ChrisBrogan.com and I'm going to re-listen to the audiobook of Trust Agents again myself as I think it's more relevant than ever. The original quote comes from Bob Burg in his 1994 book, Endless Referrals, “All things being equal, people will do business with, and refer business to, those people they know, like and trust.” That still applies, and absolutely fits with the 1000 True Fans model of aiming to serve a smaller audience. As Kevin Kelly says in 1000 True Fans, “Instead of trying to reach the narrow and unlikely peaks of platinum bestseller hits, blockbusters, and celebrity status, you can aim for direct connection with a thousand true fans.” “On your way, no matter how many fans you actually succeed in gaining, you'll be surrounded not by faddish infatuation, but by genuine and true appreciation. It's a much saner destiny to hope for. And you are much more likely to actually arrive there.” In 2026, I hope that more authors (including me!) let go of ego goals and vanity metrics like ranking, gross sales (income before you take away costs), subscribers, followers, and likes, and consider important business numbers like profit (which is the money you have after costs like marketing are taken out), as well as number of true fans — and also lifestyle elements like number of weekends off, or days spent enjoying life and not just working! OK, that's my list of trends and predictions for 2026. Let me know what you think in the comments. Do you agree? Am I wrong? What have I missed? The post 2026 Trends And Predictions For Indie Authors And The Book Publishing Industry with Joanna Penn first appeared on The Creative Penn.

Send us a textAmazon ads are regularly updated, and one recent change allows managing campaigns across all countries on a single platform. This centralizes Amazon PPC efforts but removes simple country filtering, creating a challenge for sellers. We break down how to handle these changes to maintain effective amazon advertising strategies and ensure smooth campaign optimization.It walks through how the search bar works inside the Amazon Ads console, why country filters disappeared, and how sellers managing multiple marketplaces can avoid misreading performance data.Built for active Amazon sellers running PPC across regions, this walkthrough helps prevent reporting mistakes, wasted ad spend, and confusion when managing campaigns in global marketplaces in 2026 and beyond.If country-level ad data is slowing decisions or costing sales, get a direct breakdown of what to fix and how to clean up your Amazon Ads setup before spend keeps leaking: https://bit.ly/4jMZtxu#AmazonAds #AmazonPPC #AmazonSeller #EcommerceAdvertising #FBA--------------------------------------------------------------------------Want free resources? Dowload our Free Amazon guides here:Amazon SEO Toolkit 2026: https://bit.ly/4oC2ClTQ4 Selling Playbook: https://bit.ly/46Wqkm32025 Ecommerce Holiday Playbook: https://bit.ly/4hbygovAmazon PPC Guide 2025: https://bit.ly/4lF0OYXAmazon Crisis Kit: https://bit.ly/4maWHn0TIMESTAMPS00:00 – Amazon Ads platform changes and seller frustration00:32 – Why missing country filters cause reporting problems01:15 – Using the search bar to filter campaigns by country01:53 – Viewing country-specific campaigns without switching accounts________________________________Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast:My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

Send us a textAmazon PPC changes in 2025 reshaped how sellers manage ads, bids, targeting, and spend across the platform. This complete breakdown covers Amazon advertising updates, new ad formats, audience targeting, automation, and reporting changes.This video is a full wrap up of Amazon PPC news from 2025, explaining how sponsored products, sponsored brands, sponsored display, and video ads evolved throughout the year. It reviews new bidding rules, audience bid adjustments, off-Amazon placements, campaign automation, AI driven features, and changes that affect ad costs and performance.Sellers will learn how Amazon advertising shifted in 2025, what updates matter most for account structure, how new targeting options impact branded and non-branded campaigns, and what to prepare for heading into 2026 based on platform changes and trends.If ad costs are climbing and performance feels unstable, it's time to pressure-test the strategy before margins disappear: https://bit.ly/3ZlHh6G #AmazonPPC #AmazonAdvertising #AmazonSeller #myamazonguy  #amazonppctips -------------------------------------------------------------------------Want free resources? Dowload our Free Amazon guides here:Amazon SEO Toolkit 2026: https://bit.ly/4oC2ClTQ4 Selling Playbook: https://bit.ly/46Wqkm32025 Ecommerce Holiday Playbook: https://bit.ly/4hbygovAmazon PPC Guide 2025: https://bit.ly/4lF0OYXAmazon Crisis Kit: https://bit.ly/4maWHn0TIMESTAMPS00:41 – Sponsored Products Ads Outside Amazon03:36 – Audience Bid Adjustments for Self Targeting06:45 – Automated Bid Rules and Target Harvesting12:33 – Major Campaign Setup Changes Sellers Miss13:52 – Amazon Ads on TV and Streaming Platforms15:27 – B2B Targeting for Amazon Business Buyers17:25 – New State Taxes Impacting Amazon Ad Costs20:08 – Amazon Marketing Cloud Access for Sellers24:55 – Sponsored Product Video Ad Format Update27:54 – Unified Campaign Manager and Ad Automation29:29 – AI Prompts and Rufus Integration in Ads32:30 – Reserve Share of Voice for Brand Keywords35:56 – New Amazon Ads Benchmarks and Reports________________________________Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast:My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

En este episodio del Serious Sales Podcast en Español, Adriana Rangel conversa con Awildo Vázquez desde Eslovaquia sobre cómo construir marcas defendibles en Amazon rumbo a 2026. La charla gira en torno a dejar atrás la mentalidad de “producto ganador” para enfocarse en identidad de marca, experiencia del cliente y cimientos sólidos que permitan escalar a largo plazo, incluso en un entorno cambiante marcado por la inteligencia artificial y nuevas plataformas de tráfico. Awildo profundiza en la estrategia ofensiva y defensiva para vendedores de Amazon: sistemas estandarizados para selección de productos, uso de IA para validar decisiones y la famosa trifecta de tráfico: Amazon Ads, colaboraciones estratégicas y tráfico propio mediante contenido, comunidad y listas de contactos. El mensaje es claro: quien controla su tráfico y construye relaciones reales con su audiencia, construye un negocio sostenible más allá de los ads. En el episodio #190 de Serious Sellers Podcast en Español, platicamos de: 00:00 - Introducción y bienvenida 02:29 - Estrategia ofensiva y defensiva para Amazon 2026 05:10 - Selección de productos basada en sistemas y datos 07:26 - Uso de inteligencia artificial para validar decisiones 07:53 - La trifecta de tráfico: ads, colaboraciones y tráfico propio 14:25 - Creación de contenido y marca personal 25:03 - Regalo especial: libro Dominando el Éxito en Amazon FBA

Another year ends, and once more, it's time to reflect on our creative goals. I hope you can take the time to review your goals and you're welcome to leave a comment below about how the year went. Did you achieve everything you wanted to? Let me know in the comments. It's always interesting looking back at my goals from a year ago, because I don't even look at them in the months between, so sometimes it's a real surprise how much they've changed! You can read my 2025 goals here and I go through how things went below. In the intro, Written Word Media 2025 Indie Author Survey Results, TikTok deal goes through [BBC]; 2025 review [Wish I'd Known Then; Two Authors], Kickstarter year in review; Plus, Anthropic settlement, the continued rise of AI-narrated audiobooks, and thinking/reasoning models (plus my 2019 AI disruption episode). My Bones of the Deep thriller, pics here, and Business for Authors webinars, coming soon. If you'd like to join my community and support the show every month, you'll get access to my growing list of Patron videos and audio on all aspects of the author business — for the price of a black coffee (or two) a month. Join us at Patreon.com/thecreativepenn. Joanna Penn writes non-fiction for authors and is an award-winning, New York Times and USA Today bestselling thriller author as J.F. Penn. She's also an award-winning podcaster, creative entrepreneur, and international professional speaker. You can listen above or on your favorite podcast app or read the notes and links below. Here are the highlights and the full transcript is below. J.F. Penn books — Death Valley, The Buried and the Drowned, Blood Vintage Joanna Penn books — Successful Self-Publishing, 4th Edition The Creative Penn Podcast and my community on Patreon/thecreativepenn Unexpected addition: Masters in Death, Religion and Culture at the University of Winchester Book marketing. Not quite a fail but definitely lacklustre. Reflections on my 50th year Double down on being human. Travel and health. You can find all my books as J.F. Penn and Joanna Penn on your favourite online store in all the usual formats, or order from your local library or bookstore. You can also buy direct from me at CreativePennBooks.com and JFPennBooks.com. I'm not really active on social media, but you can always see my photos at Instagram @jfpennauthor. J.F. Penn — Death Valley. A Thriller. This was my ‘desert' book, partially inspired by visiting Death Valley, California in 2024. It's a stand-alone, high stakes survival thriller, with no supernatural elements, although there are ancient bones and a hidden crypt, as it wouldn't be me otherwise! The Kickstarter campaign in April had 231 Backers pledging £10,794 (~US$14,400) and the hardback is a gorgeous foiled edition with custom end papers and research photos as well as a ribbon. As an AI-Assisted Artisan Author, I used AI tools to help with the creative and business processes, including the background image of the cover design, the custom end papers, and the Death Valley book trailer, which I made with Midjourney and Runway ML. The audiobook is also narrated by my J.F. Penn voice clone, which took a while to get used to, but now I love it! You can listen to a sample here. I published Death Valley wide a few months later over the summer, so it is now out on all platforms. J.F. Penn — Blood Vintage. A Folk Horror Novel, and Catacomb audiobook I did a Kickstarter for the hardback edition of Blood Vintage in late 2024, and then in 2025, worked with a US agent to see if we could get a deal for it. That didn't happen, and although there were some nice rejections, mostly it was silence, and the waiting around really was a pain in the proverbial. So, after a year on submission, I published Blood Vintage wide, so it's available everywhere now. My voice clone narrated the audiobook, listen to a sample here. I also finally produced the audiobook for Catacomb, which is a stand-alone thriller inspired by the movie Taken and the legend of Beowulf set in the catacombs under Edinburgh. I used a male voice from ElevenLabs, and you can listen to a sample here. The book is also available everywhere in all formats. J.F. Penn — The Buried and the Drowned Short Story Collection One of my goals for 2025 was to get my existing short stories into print, mainly because they exist only as digital ebook and audiobook files, which in a way, feels like they almost don't exist! Plus, I wanted to write an extra two exclusive stories and launch the special edition collection on Kickstarter Collection and then publish wide. I wrote the two stories, The Black Church, inspired by my Iceland trip in March, and also Between Two Breaths, inspired by an experience scuba diving at the Poor Knights Islands in New Zealand almost two decades ago. There are personal author's notes accompanying every story, so it's part-short story fiction, part-memoir, and I human-narrated the audiobook. I achieved this goal with a Kickstarter in September, 2025, with 206 Backers pledging almost £8000 (~US$10,600) for the various editions. I also did my first patterned sprayed edges and I love the hardback. It has head and tail bands which make the hardback really strong, gorgeous paper, foiling, a ribbon, colour photos, and custom end papers. The Buried and the Drowned is now out everywhere in all editions. As ever, if you enjoy the stories, a review would be much appreciated! Joanna Penn Books for Authors Early in the year, How to Write Non-Fiction Second Edition launched wide as I only sold it through my store in 2024, so it's available everywhere in all formats including a special hardback and workbook at CreativePennBooks.com. While I didn't write it in 2025, I made the money on it this year, which is important! I also unexpectedly wrote the Fourth Edition of Successful Self-Publishing, mainly because I saw so much misinformation and hype around selling direct, and I also wanted to write about how many options there are for indie authors now. The ebook and audiobook (narrated by human me) are free on my store, CreativePennBooks.com and also available in print, in all the usual places. If you haven't revisited options for indie authors for a while, please have a read/listen, as the industry moves fast! All my fiction and non-fiction audiobooks are now on YouTube After an inspiring episode with Derek Slaton, I put all my audiobooks and short stories on YouTube. Firstly, my non-fiction channel is monetised so I get some income from that. It's not much, but it's something. More importantly, it's marketing for my books, and many audiobook listeners go on to buy other editions especially non-fiction listeners who will often buy print as well. I'm one of those listeners! It's also doubling down on being human, since I human narrate most of my audiobooks, including almost all of my non-fiction, as well as the memoir, and short stories. This helps bring people into my ecosystem and they may listen to the podcast as well and end up buying other books or joining the Patreon. Finally, in an age of generative AI assisted search recommendations, I want my books and content inside Gemini, which is Google's AI. I want my books surfaced in recommendations and YouTube is owned by Google, and their AI overviews often point to videos. Only you can decide what you want to do with your audiobooks, but if you want to listen to mine, they are on YouTube @thecreativepenn for non-fiction or YouTube @jfpennauthor for fiction and memoir. The Creative Penn Podcast and my Patreon Community It's been another full year of The Creative Penn Podcast and this is episode 842, which is kind of crazy. If you don't know the back story, I started podcasting in March 2009 on a sporadic schedule and then went to weekly about a decade ago in 2015 when I committed to making it a core part of my author business. Thanks to our wonderful corporate sponsors for the year, all services I personally use and recommend — ProWritingAid, Draft2Digital, Kobo Writing Life, Bookfunnel, Written Word Media, Publisher Rocket and Atticus. It's also been a fantastic year inside my Patreon Community at patreon.com/thecreativepenn so thanks to all Patrons! I love the community we have as I am able to share my unfiltered thoughts in a way that I have stopped doing in the wider community. Even a tiny paywall makes a big difference in keeping out the haters. I've done monthly audio Q&As which are extra solo shows answering patron questions. I've also done several live office hours on video, and shared content every week on AI tools, writing and author business tips. Patrons also get discounts on my webinars. I did two webinars on The AI-Assisted Artisan Author, which I am planning to run again sometime in 2026 as they were a lot of fun and so much continues to change. If you get value from the show and you want more, come on over and join us at patreon.com/thecreativepenn We have almost 1400 paying members now which is wonderful. Thanks for being part of the Community! Unexpected goal of the year: Masters in Death, Religion and Culture at the University of Winchester During the summer as I did my gothic research, I realised that I was feeling quite jaded about the publishing world and sick of the drama in the author community over AI. My top 5 Clifton Strengths are Learner, Intellection, Strategic, Input, and Futuristic — and I needed more Input and Learning. I usually get that from travel and book research, but I wasn't getting enough of that since Jonathan is busy finishing his MBA. So I decided to lean into the learning and asked ChatGPT to research some courses I could do that would suit me. It found the Masters in Death, Religion and Culture at the University of Winchester, which I could do full-time and online. It would be a year of reading quite different things, writing academic essays which is something I haven't done for decades, and hanging out with a new group of people who were just as fascinated with macabre topics as I am. I started in September and have now finished the first term, tackling topics around thanatology and death studies, hell and the afterlife in the Christian tradition, and the ethics of using human remains to inspire fiction, amongst other interesting things. It was a challenge to get back into the style of academic essay writing, but I'm enjoying the rigour of the research and the citations, which is something that the indie author community needs more of, a topic I will revisit in 2026. I have found the topics fascinating, and the degree is a great way to expand my mind in a new direction, and distract me from the dramas of the author community. I'll be back into it in mid-January and will finish in September 2026. Book marketing. Not quite a fail but definitely lacklustre. I said I would “Do a monthly book marketing plan and organise paid ad campaigns per month for revolving first books in series and my main earners.” I didn't do this! I also said I would organise my Shopify stores, CreativePennBooks.com and JFPennBooks.com into more collections to make it easier for readers to find things they might want to buy. While I did change the theme of CreativePennBooks.com over to Impulse to make it easier to find collections, I haven't done much to reorganise or add new pathways through the books. I'm rolling this part of the goal into 2026. I said I would reinvigorate my content marketing for JFPenn, and make more of BooksAndTravel.page with links back to my stores, and do fiction specific content marketing with the aim of surfacing more in the LLMs as generative search expands. I did a number of episodes on Books and Travel in 2025, but once I started the Masters, I had to leave that aside, and although I have started some extra content on JFPennBooks.com, I am not overly enthusiastic about it! I also said I would “Leverage AI tools to achieve more as a one-person business.” I use AI tools (mainly ChatGPT, Claude, and Gemini) every day for different things but as ever, I am pretty scatter gun about what I do. I lean into intuition and I love research so I am more likely to ask the AI tools to do a deep research report on south Pacific merfolk mythology, or how gothic architecture impacted sacred music, or geology and deep time, rather than asking for marketing hooks. I intended to use more AI for book marketing, but as ever, I was too optimistic about the timeline of what might be possible. There's lots you can do with prompting, finessing things and then posting on various platforms, but I'm not interested in spending time doing that. My gold standard for an AI assistant is to feed it the finished book and then say, “Here's a budget. Go market this,” and not have to connect lots of things together into some Frankenstein-workflow. That's not available yet. Maybe in 2026 … Of course, I still do book marketing. I have to in order to sell any books and make money from book sales. We all have to do some kind of book marketing! I have my Kickstarter launches which I put effort into, as well as consistent backlist sales fed by the podcast, and my email newsletter (my combined list is around 60K). I have auto campaigns running on Amazon Ads, and I have used Written Word Media campaigns as well as BookBub throughout the year. This is basically the minimum, so as usual, must do better! I'm pretty sure I'm not the only author saying this! However, my business has multiple streams of income, and I have the podcast sponsorship revenue as well as the Patreon, plus sporadic webinars, which add to my bottom line and don't require paid advertising at all. Reflections on my 50th year I woke up on my 50th birthday in March in Iceland, by the Black Church of Budir out on the Skaefellsnes peninsula. As seals played in the sea and we walked in the snow over the ancient lava field under the gaze of the volcano that inspired Jules Verne Journey to the Centre of the Earth, and my short story, The Black Church, which you can find in my collection, The Buried and the Drowned. On that trip, we also saw the northern lights and had a memorable trip that marked a real shift for me. I've been told by lots of people that 50 is a ‘proper' birthday, as in one of those that makes you stop and reconsider things, and it has indeed been that, although I have also found the last few years of perimenopause to be a large part of the change as well. A big shift is around priorities and not caring so much what other people think, which is a relief in many ways. Also, I don't have the patience to do things that I don't think are worth doing for the longer term, and I am appreciating a quieter life. I'd rather lie in a sunbeam and read with Cashew and Noisette next to me then create marketing assets or spend time on social media. I'd rather go for a walk with Jonathan than go to a conference or networking event. In my Pilgrimage memoir, I quote an anonymous source, “Pilgrim, pass by that which you do not love.” It's a powerful message, and I take it to mean, stop listening to people who tell you what is important. Listen to yourself more and only pay attention to that which you feel drawn to explore. On pilgrimage, it might be turning away from the supposedly important shrine of a saint to go and sit in nature and feel closer to God that way. In our author lives, it might be turning away from the things that just feel wrong for us, and leaning into what is enjoyable, that which feels worthwhile, that which we want to keep doing for the long term. Let's face it, as always, that is the writing, the thinking, the imagination. As ever, I have this mantra on my wall: “Measure your life by what you create.” It's the creation side of things that we love and that's what we need to remember when everything else gets a little much. Many authors left social media in 2025, and while I haven't left it altogether, I don't use it much. I post pictures proving I am human on Instagram @jfpennauthor which automatically post to Facebook. I barely check my pages on Facebook though. I'm also still on X with a carefully curated feed that I mainly use to learn new cool AI things which I share with my Patreon Community. Double down on being human. Travel and health. Yes, I am a human author, and yes, I continue to age! When you've been publishing a while, you need to update your author photos periodically and I finally had a photoshoot I loved with Betty Bhandari Photography, which means I can add the new pics to my websites and the back of my books. Are you up to date with your author photos? (or at least within a decade of the last photoshoot?!) Here are a few of the pictures on Instagram @jfpennauthor. Healthwise, I gave up calisthenics as it was too much on top of the powerlifting and the amount of walking I do. I did another British Powerlifting competition in September in the M2 category (based on age) and 63kgs category (based on weight). Deadlift: 95kgs. Squat: 60kgs. BenchPress: 37.5kgs. While this is less overall than last year, I also weigh less, so I'm actually stronger based on lift to body weight percentage. I have also done a few pull-ups in the last week with no band, which I am thrilled with! On the travel side, Iceland was the big trip, and I also had a weekend in Berlin for the film festival, where I met up with a producer and a director around an adaptation of my Day of the Vikings thriller. That didn't pan out, as most of these things don't, but I certainly learned a lot about the industry — and why it doesn't suit me! Once again, I dipped my toe into screenwriting and then ran away, as has happened multiple times over the years. When will I learn? … Over the summer of 2025, I visited lots of gothic cathedrals including Lichfield, Rochester, Durham, York, and revisiting Canterbury, as part of my book research for the Gothic Cathedral book. I have tens of thousands of words on this project, but it isn't ready yet, so this is carried over into 2026 as it might happen then, depending on the Masters. I spoke at Author Nation in Las Vegas in November 2025, and before it started, I visited (Lower) Antelope Canyon, one of the places on my bucket list, and it did not disappoint. What a special place and no doubt it will appear in a story at some point! How did your 2025 go? I hope your 2025 had some wonderful times as well as no doubt some challenges — and that you have time for reflection as the year turns once more. Let me know in the comments whether you achieved your creative goals and any other reflections you'd like to share.The post Review Of My 2025 Creative And Business Goals With Joanna Penn first appeared on The Creative Penn.

On today's EMARKETER Miniseries—AI-Driven Media Management—we explore the core building blocks of AI innovation, what partnering with Amazon Ads looks like in practice, and advice for leaders or teams who don't come from technical backgrounds but need to build or use AI systems. EMARKETER Senior Director of Content Jeremy Goldman speaks with Adam Epstein, co-founder and CEO of Gigi. Listen everywhere you find podcasts, and watch on YouTube and Spotify.   To learn more about our research and get access to PRO+ go to EMARKETER.com   Follow us on Instagram at: https://www.instagram.com/emarketer/ For sponsorship opportunities contact us: advertising@emarketer.com For more information visit: https://www.emarketer.com/advertise/ Have questions or just want to say hi? Drop us a line at podcast@emarketer.com    For a transcript of this episode click here: https://www.emarketer.com/content/podcast-ai-driven-media-management-with-gigi-amazon-ads-part-2-emarketer-miniseries   © 2025 EMARKETER   Amazon Ads offers full-funnel advertising solutions to help businesses of all sizes achieve their marketing goals at scale. Amazon Ads connects advertisers to highly relevant audiences through first-party insights; extensive reach across premium content like Prime Video, Twitch, and third-party publishers; the ability to connect and directly measure campaign tactics across awareness, consideration, and conversion; and generative AI to deliver appropriate creative at each step. Amazon Ads helps advertisers reach an average monthly ad-supported audience of more than 300 million in the U.S. across Amazon's owned and operated properties and third-party publishers. 

La inteligencia artificial está cambiando aceleradamente la industria de la publicidad y Amazon Ads quieren democratizar la creatividad y la medición de las campañas de todas las empresas y emprendedores que venden en Amazon. Acompaña a Eréndira Reyes, editora de tecnología, Selene Ramírez, reportera de tecnología y José Pablo Canal, Agency Development Manager en Amazon en este espisodio de En Modo Smart

On today's EMARKETER Miniseries—AI-Driven Media Management—we explore how to break down the media manager role into workflows that can be automated or augmented by agentic AI, what agencies misunderstand about AI, and which agency tasks are ripest to hand off to AI right now. EMARKETER Senior Director of Content Jeremy Goldman speaks with Adam Epstein, co-founder and CEO of Gigi. Listen everywhere you find podcasts, and watch on YouTube and Spotify.   To learn more about our research and get access to PRO+ go to EMARKETER.com   Follow us on Instagram at: https://www.instagram.com/emarketer/ For sponsorship opportunities contact us: advertising@emarketer.com For more information visit: https://www.emarketer.com/advertise/ Have questions or just want to say hi? Drop us a line at podcast@emarketer.com    For a transcript of this episode click here: https://www.emarketer.com/content/podcast-ai-driven-media-management-with-gigi-amazon-ads-part-1   © 2025 EMARKETER   Amazon Ads offers full-funnel advertising solutions to help businesses of all sizes achieve their marketing goals at scale. Amazon Ads connects advertisers to highly relevant audiences through first-party insights; extensive reach across premium content like Prime Video, Twitch, and third-party publishers; the ability to connect and directly measure campaign tactics across awareness, consideration, and conversion; and generative AI to deliver appropriate creative at each step. Amazon Ads helps advertisers reach an average monthly ad-supported audience of more than 300 million in the U.S. across Amazon's owned and operated properties and third-party publishers. 

On today's EMARKETER Miniseries—A Blueprint to Better Measurement—we explore Amazon's plans for moving out of Beta and offering Omnichannel Metrics (OCM) more widely to advertisers, the top two challenges they face heading into the new year, and what is next for Amazon Ads in 2026, as it pertains to durables. EMARKETER Principal Analyst Sky Canaves speaks with Kolby Capelouto, Head of Sales for Durables at Amazon Ads. Listen everywhere you find podcasts, and watch on YouTube and Spotify.   To learn more about our research and get access to PRO+ go to EMARKETER.com   Follow us on Instagram at: https://www.instagram.com/emarketer/ For sponsorship opportunities contact us: advertising@emarketer.com For more information visit: https://www.emarketer.com/advertise/ Have questions or just want to say hi? Drop us a line at podcast@emarketer.com    For a transcript of this episode click here: https://www.emarketer.com/content/podcast-blueprint-better-measurement-part-2-with-amazon-ads-emarketer-miniseries   © 2025 EMARKETER   Amazon Ads offers full-funnel advertising solutions to help businesses of all sizes achieve their marketing goals at scale. Amazon Ads connects advertisers to highly relevant audiences through first-party insights; extensive reach across premium content like Prime Video, Twitch, and third-party publishers; the ability to connect and directly measure campaign tactics across awareness, consideration, and conversion; and generative AI to deliver appropriate creative at each step. Amazon Ads helps advertisers reach an average monthly ad-supported audience of more than 300 million in the U.S. across Amazon's owned and operated properties and third-party publishers. 

From Gen Z to Boomers, age has long been a marketing shortcut – but is it still useful? Campaign's Lucy Shelley and Amazon Ads' Carly Zipp unpack how brands can connect through shared interests and values instead. Hosted on Acast. See acast.com/privacy for more information.

On today's EMARKETER Miniseries—A Blueprint to Better Measurement—we explore the appeal of Amazon not just as a sales platform but also as an advertiser, how Amazon Ads defines omnichannel metrics, and a few examples of campaigns that have performed particularly well. EMARKETER Principal Analyst Sky Canaves speaks with Kolby Capelouto, Head of Sales for Durables at Amazon Ads. Listen everywhere you find podcasts, and watch on YouTube and Spotify.   To learn more about our research and get access to PRO+ go to EMARKETER.com   Follow us on Instagram at: https://www.instagram.com/emarketer/ For sponsorship opportunities contact us: advertising@emarketer.com For more information visit: https://www.emarketer.com/advertise/ Have questions or just want to say hi? Drop us a line at podcast@emarketer.com    For a transcript of this episode click here: https://www.emarketer.com/content/podcast-blueprint-better-measurement-part-1-with-amazon-ads-emarketer-miniseries   © 2025 EMARKETER   Amazon Ads offers full-funnel advertising solutions to help businesses of all sizes achieve their marketing goals at scale. Amazon Ads connects advertisers to highly relevant audiences through first-party insights; extensive reach across premium content like Prime Video, Twitch, and third-party publishers; the ability to connect and directly measure campaign tactics across awareness, consideration, and conversion; and generative AI to deliver appropriate creative at each step. Amazon Ads helps advertisers reach an average monthly ad-supported audience of more than 300 million in the U.S. across Amazon's owned and operated properties and third-party publishers. 

Send us a textProper ad account structure is crucial for Amazon sellers looking to maximize their ad performance, but most ad accounts are disorganized and inefficient. In this video, Noah Wickham dive deep into how a messy Amazon ad account can hinder your ability to optimize campaigns, and how structuring your ad account with clear portfolios and ad groups can significantly improve your results.A cluttered ad account leads to confusion, wasted budget, and missed opportunities. With the right setup, you can easily identify key areas for improvement, track performance more effectively, and drive better sales results. From understanding Amazon portfolios to managing targets within ad groups, I'll guide you step by step on how to structure your ads for long-term success.What You'll Learn:- How to structure your Amazon ad account for better organization and clarity- Why Amazon portfolios are key for efficient ad management- The best practices for creating and naming campaigns and ad groups- How to optimize your targeting strategy to avoid wasting ad spend- How bulk file operations can make optimizations quicker and easierIf you're struggling with messy Amazon ads, or if your campaigns aren't performing like they should, this video will provide actionable insights to help you streamline your account and see measurable improvements. Stop getting lost in disorganized ad accounts, learn how to structure them like a pro!Ready to take control of your Amazon ads? Let's chat and optimize your strategy for success: https://bit.ly/4jMZtxu#AmazonAdStructure #PPCOptimization #AmazonCampaigns #AdAccountManagement #amazonppc --------------------------------------------------------------------------Want free resources? Dowload our Free Amazon guides here:Amazon SEO Toolkit 2026: https://bit.ly/4oC2ClTQ4 Selling Playbook: https://bit.ly/46Wqkm32025 Ecommerce Holiday Playbook: https://bit.ly/4hbygovAmazon PPC Guide 2025: https://bit.ly/4lF0OYXAmazon Crisis Kit: https://bit.ly/4maWHn0TIMESTAMPS00:00 - Introduction: Common Issues with Amazon Ads00:14 - Why Proper Ad Account Structure Matters00:34 - Understanding Amazon Portfolios and Their Importance01:13 - Organizing Ads by Business Line and Product Categories02:01 - Filtering by Portfolio and Optimizing for Specific Products03:13 - The One Ad Group per Campaign Strategy03:47 - Naming Campaigns Clearly for Better Management04:08 - Managing Targets within Ad Groups05:02 - How Amazon's Algorithm Affects Your Ad Performance06:05 - How to Fine-Tune and Optimize Targets Over Time07:09 - Using Bulk Files for Easier Optimization08:12 - Final Tips for Streamlining Your Amazon Ad Account Structure________________________________Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast:My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

The CPG Guys are joined in this episode by Wayne Purboo, VP of Video Advertising at Amazon Ads.This episode was recorded at Amazon unBoxed 2025 in Nashville TNFollow Wayne on LinkedIn at: http://linkedin.com/in/purbooFollow Amazon Ads on LinkedIn at: https://www.linkedin.com/showcase/amazonadvertising/Follow Amazon Ads online at: https://advertising.amazon.com/Wayne answers these questions:Wayne, you've been in media, tech and now advertising at Amazon. Can you walk us through your journey and how you landed in the CPG‐advertising intersection along with what does your current role at Amazon Advertising look like? What are the core responsibilities and strategic levers you focus on?Coming from entrepreneurial & video/telecom roots (e.g., your time co-founding QuickPlay Media) how has that shaped your perspective now in a large ecosystem like Amazon?Many CPG brands think “Amazon = retail channel” but there's a whole advertising & media angle. How do you advise brands to better harness the “media + commerce” capability of Amazon, especially with video?From your vantage point, what are the most common mistakes CPG brands make when planning Amazon-advertising budgets with video?How does you define success for a CPG brand? Are there metrics beyond lower funnel that brands should be paying more attention to, especially with video?Video, streaming, influencer, live-commerce: Which media formats do you think are the most under-utilised by CPG brands on Amazon right now, and why?How should CPG brands think about full-funnel versus upper-funnel investments when advertising on Amazon? Is there a "sweet spot" you're seeing?What advice would you give a CPG brand that's just starting to advertise on Amazon (i.e., their first campaign) on leveraging video — what some things should they absolutely nail?On the flip side: what advanced tactics or experiments are you seeing the most exciting results from, for brands already well-established on Amazon?Are there “best practice” frameworks or internal Amazon Advertising tools that brands should know about (or ask for) re : video / streaming that many overlook?Over the next 3-5 years, what do you think will be the biggest disruptors in CPG advertising (on Amazon and beyond) with video?CPG Guys Website: http://CPGguys.comFMCG Guys Website: http://FMCGguys.comSheCOMMERCE Website: https://shecommercepodcast.com/Rhea Raj's Website: http://rhearaj.comLara Raj in Katseye: https://www.katseye.world/DISCLAIMER: The content in this podcast episode is provided for general informational purposes only. By listening to our episode, you understand that no information contained in this episode should be construed as advice from CPGGUYS, LLC or the individual author, hosts, or guests, nor is it intended to be a substitute for research on any subject matter. Reference to any specific product or entity does not constitute an endorsement or recommendation by CPGGUYS, LLC. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represent. CPGGUYS LLC expressly disclaims any and all liability or responsibility for any direct, indirect, incidental, special, consequential or other damages arising out of any individual's use of, reference to, or inability to use this podcast or the information we presented in this podcast.

Elina Panteleyeva is the founder of Dood Woof, a 7-figure brand built specifically for Doodle dog breeds. After getting laid off, she bootstrapped her business from $0 to 7 figures in 15 months with no prior Ecommerce experience, no team and no outside investors. outside funding. Elina scaled fast by focusing on niche product-market fit, building a raving fan base, and using scrappy organic marketing to drive Amazon and TikTok Shop growth. Now, she helps other founders grow and scale their eCommerce brands profitably by building a brand that serves a specific group of people. In This Conversation We Discuss:[00:00] Intro[00:34] Sponsor: Taboola[01:44] Building products around customer pain points[02:53] Identifying problems through community research[05:19] Sponsor: Next Insurance[06:32] Balancing product creation with marketing[06:48] Building trust through storytelling[09:15] Collecting feedback to shape products[10:50] Creating scarcity to drive excitement[12:38] Identifying niches with specific pain points[13:47] Sponsor: Electric Eye[14:56] Sponsor: Freight Right[16:56] Collecting reviews to build credibility[18:37] Training mindset to handle uncertainty[21:59] Discovering entrepreneurial instincts early[22:29] Focusing on one channel before diversifying  [25:34] Leveraging micro-influencers for growthResources:Subscribe to Honest Ecommerce on YoutubeCreating Healthy Happy Lives for Doodles doodwoof.com/Follow Elina Panteleyeva instagram.com/doodwoofco/?hl=enReach your best audience at the lowest cost! discover.taboola.com/honest/Easy, affordable coverage that grows with your business nextinsurance.com/honest/Schedule an intro call with one of our experts electriceye.io/connectTurn your domestic business into an international business freightright.com/honestIf you're enjoying the show, we'd love it if you left Honest Ecommerce a review on Apple Podcasts. It makes a huge impact on the success of the podcast, and we love reading every one of your reviews!

In this episode, discover Amazon's newest AI creative tools for PPC, including Creative Agent and Sponsored Products Video, and learn how sellers can generate high-quality ads faster than ever. ► Watch The Podcasts On Youtube: https://www.youtube.com/@Helium10SeriousSellersPodcast?sub_confirmation=1 ► Instagram: instagram.com/serioussellerspodcast ► Free Amazon Seller Chrome Extension: https://h10.me/extension ► Sign Up For Helium 10: https://h10.me/signup  (Use SSP10 To Save 10% For Life) ► Learn How To Sell on Amazon: https://h10.me/ft In this episode, recorded live at Amazon Unboxed in Nashville, Bradley sits down with Jenny Liu, one of the Amazon Ads' product managers behind the latest wave of AI-powered creative tools. Jenny's team builds the systems that are transforming how Amazon sellers create videos, images, and ad assets across Sponsored Products, Sponsored Brands, and Sponsored Display. If you've heard about Amazon Advertising's new Creative Agent and wondered how it actually works, this episode gives you the insider perspective. Jenny walks us through the evolution of Amazon's creative ecosystem: from early one-click image generators to today's full conversational, agentic workflows that let sellers input nothing more than an ASIN, a simple goal, and a rough idea. The agent then learns your intent, pulls from your product detail page, and automatically generates polished videos, lifestyle imagery, and ad-ready creative concepts. Whether you're not “graphically inclined” or you're a creative pro trying to scale variations and testing, these tools are designed to unlock high-quality output for all skill levels. Bradley and Jenny also dive into real-world applications, how custom creatives now influence performance, what makes shoppers stop scrolling, and why strong visuals matter even in Sponsored Products. Jenny explains why Amazon's creative philosophy is shifting toward storytelling, brand authenticity, and giving sellers more flexibility to express what makes their product unique. As she puts it, AI is not here to replace the marketer; it's here to take away the manual work so sellers can focus on what message they want their brand to communicate. To wrap up the episode, Bradley is joined briefly by longtime SSP guest Destaney Wishon, who shares her two biggest takeaways from Unboxed: the scale-changing impact of Creative Agent and the rollout of Sponsored Products Video placements. In episode 724 of the Serious Sellers Podcast, Bradley and Jenny discuss: 01:40 – Meet Jenny Liu 03:20 – The Evolution of Amazon Ad Creatives 06:00 – Why Creative Matters More Than Ever in PPC 08:10 – Introducing Creative Agent: Amazon's New AI Creative Partner 11:10 – What Inputs Creative Agent Uses (and Why You Don't Need Prompting Skills) 15:00 – Real Use Case: Creative Ideas for Bradley's Brand 24:00 – Jenny's Core Message: These Tools Are Free, Simple, and Ready to Use 27:30 – Destaney's Take: Her Top 2 Favorite Announcements From Unboxed Enjoy this episode? Be sure to check out our previous episodes for even more content to propel you to Amazon FBA Seller success! And don't forget to “Like” our Facebook page and subscribe to the podcast on iTunes, Spotify, or wherever you listen to our podcast. Get snippets from all episodes by following us on Instagram at @SeriousSellersPodcast Want to absolutely start crushing it on Amazon? Here are few carefully curated resources to get you started: Freedom Ticket: Taught by Amazon thought leader Kevin King, get A-Z Amazon strategies and techniques for establishing and solidifying your business. Helium 10: 30+ software tools to boost your entire sales pipeline from product research to customer communication and Amazon refund automation. Make running a successful Amazon or Walmart business easier with better data and insights. See what our customers have to say. Helium 10 Chrome Extension: Verify your Amazon product idea and validate how lucrative it can be with over a dozen data metrics and profitability estimation. SellerTrademarks.com: Trademarks are vital for protecting your Amazon brand from hijackers, and sellertrademarks.com provides a streamlined process for helping you get one.  

Send us a textAre you struggling with low sales and traffic on Amazon, especially during the offseason or after big shopping events like Black Friday? In this video, Noah Wickham from My Amazon Guy shares proven strategies for increasing sales, improving your Amazon PPC campaigns, and using the Search Term Impression Share Report to optimize your ads effectively.When sales are low, traffic dips, and you're facing the challenges of a competitive marketplace, it's the perfect time to double down on keywords, optimize your bids, and refine your strategies. Noah Wickham provides actionable advice on how to improve your Amazon rankings, adjust your bids for top of search and rest of search, and how seasonal products should be handled for maximum impact during your low sales periods.Ready to optimize your Amazon ads and boost your sales? Book a strategy call with one of our experts today and get personalized insights to grow your business! https://bit.ly/4jMZtxu#AmazonAds #EcommerceGrowth #BlackFriday2025 #AmazonSellingTips #salesoptimization ----------------------------------------------------------------------Want free resources? Dowload our Free Amazon guides here:Q4 Selling Playbook: https://bit.ly/46Wqkm3 2025 Ecommerce Holiday Playbook: https://bit.ly/4hbygov Amazon PPC Guide 2025: https://bit.ly/4lF0OYX 2025 Ecommerce Holiday Playbook: https://bit.ly/4hbygovAmazon Crisis Kit: https://bit.ly/4maWHn0Amazon SEO Toolkit: https://bit.ly/457zjSlTimestamps:00:00 – Should you outsell your competition on keywords when sales are low to rank for keywords?01:07 – Why are impressions recovering but sales still low during Black Friday week?02:08 – Is it best to wait for December for better sales if Black Friday sales are poor?05:30 – How much should I increase my product price without affecting sales momentum?07:51 – How do I structure ads for a small niche category with limited keywords?09:30 – How can I use the search term impression share report to optimize my campaigns?----------------------------------------------Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

Send us a textAmazon ads are regularly updated, and one recent change allows managing campaigns across all countries on a single platform. This centralizes Amazon PPC efforts but removes simple country filtering, creating a challenge for sellers. We break down how to handle these changes to maintain effective amazon advertising strategies and ensure smooth campaign optimization.It walks through how the search bar works inside the Amazon Ads console, why country filters disappeared, and how sellers managing multiple marketplaces can avoid misreading performance data.Built for active Amazon sellers running PPC across regions, this walkthrough helps prevent reporting mistakes, wasted ad spend, and confusion when managing campaigns in global marketplaces in 2026 and beyond.If country-level ad data is slowing decisions or costing sales, get a direct breakdown of what to fix and how to clean up your Amazon Ads setup before spend keeps leaking: https://bit.ly/4jMZtxu#AmazonAds #AmazonPPC #AmazonSeller #EcommerceAdvertising #FBA--------------------------------------------------------------------------Want free resources? Dowload our Free Amazon guides here:Amazon SEO Toolkit 2026: https://bit.ly/4oC2ClTQ4 Selling Playbook: https://bit.ly/46Wqkm32025 Ecommerce Holiday Playbook: https://bit.ly/4hbygovAmazon PPC Guide 2025: https://bit.ly/4lF0OYXAmazon Crisis Kit: https://bit.ly/4maWHn0TIMESTAMPS00:00 – Amazon Ads platform changes and seller frustration00:32 – Why missing country filters cause reporting problems01:15 – Using the search bar to filter campaigns by country01:53 – Viewing country-specific campaigns without switching accounts________________________________Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast:My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

Destaney talks with Gibby, BTR Media's Head of DSP, to break down how he uses AMC, DSP, and AI tools like ChatGPT to build custom reports and audiences that actually prove incremental value. Gibby shares how he went from zero coding experience to writing SQL for AMC, how to turn black box data into actionable insights, and why strong prompts and strategy matter more than ever in Amazon Ads.Connect with Gibby on Linkedin: linkedin.com/in/gibby-h-2132b71a4Connect with Destaney on Linkedin: linkedin.com/in/destaney-wishonSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Learn Mansour's latest Amazon strategies, from Search Query Performance to new sponsored product video features, AMC tips, pricing tactics, and launch strategies to scale your brand.

Let's dive into Amazon PPC and break down DSP, AMC, wasted ad spend, and smarter campaign strategies. Learn how top brands win with data-driven advertising.   Can you afford to miss out on the secrets behind optimizing Amazon PPC, AMC, and DSP? Brent Zahradnik, a seasoned expert in Amazon advertising, brings his wealth of experience to our show, uncovering the complexities of Amazon advertising. Brent's journey from the US to France adds a unique perspective to the conversation as he shares how balancing work across time zones and immersing in French culture has enriched his professional insights.   Amazon advertising has evolved dramatically from its early days of low cost-per-click rates and basic ad options. This episode unpacks the intricate landscape that demands expert management today, highlighting how advanced targeting and analytics have transformed strategy requirements. Brent shares poignant anecdotes of Amazon's initial ad experiments, while navigating the challenges that both advertisers and clients face in maintaining a competitive edge in this pay-to-play ecosystem.   The potential impact of AI on Amazon advertising agencies is another compelling topic Brent tackles, discussing how tools like Amazon Marketing Cloud (AMC) and Demand Side Platform (DSP) can revolutionize efficiency. With insights into selecting the right agency and the importance of comprehensive service packages, Brent guides listeners through optimizing their Amazon ad strategy. Whether you're a brand new to the platform or a seasoned seller, this episode promises actionable insights and the guidance needed to thrive in today's Amazon marketplace.   In episode 47 of the AM/PM Podcast, Kevin and Brent discuss: 00:00 - Exploring Amazon PPC With Brent Zahradnik 06:39 - Rise of Amazon Advertising Complexity 09:53 - Evolution of Amazon Advertising 12:44 - Agency vs Software in Amazon Sales 16:25 - AI in Amazon Advertising and Integration 23:00 - Impact of Rufus and COSMO in Amazon Advertising 26:08 - Amazon PPC Strategy and Data Analysis  30:55 - Keyword Strategy for Amazon Ranking 32:00 - Amazon DSP and Advertising Efficiency 35:07 - Modern Brand Building With Amazon DSP 38:16 - Combining Data Sets for Targeted Ads 41:26 - Customer Funnel Strategy for Conquesting 42:54 - Optimizing Amazon PPC and DSP Investments 47:59 - How Brands Can Utilize Amazon DSP 49:55 - Selecting an Amazon Advertising Agency 56:19 - Automated Conversion Campaigns in DSP 58:21 - Human Touch in Modern Advertising

Send us a textA groundbreaking update is here for Amazon advertising! In this video, Noah Wickham discusses the biggest change in Amazon Ads in a long time, the ability to add prompts into your Sponsored Product campaigns. This new feature, currently in beta, is set to completely transform the way sellers advertise on Amazon. With AI-driven prompts and video integration now possible within campaigns, this is a massive shift towards more dynamic, personalized advertising strategies.Don't let your Amazon ads fall behind, schedule a call now and revolutionize your strategy! https://bit.ly/4jMZtxu#AmazonAds #AIAdvertising #AmazonSellers #AmazonMarketing #amazonppcnews----------------------------------------------------------------------Want free resources? Dowload our Free Amazon guides here:Q4 Selling Playbook: https://bit.ly/46Wqkm3 2025 Ecommerce Holiday Playbook: https://bit.ly/4hbygov Amazon PPC Guide 2025: https://bit.ly/4lF0OYX 2025 Ecommerce Holiday Playbook: https://bit.ly/4hbygovAmazon Crisis Kit: https://bit.ly/4maWHn0Amazon SEO Toolkit: https://bit.ly/457zjSlTimestamps:00:00 - Introduction to the biggest Amazon ads change in years00:21 - The new AI prompts in Amazon ads01:10 - Video ad integration in campaigns01:47 - The potential impact of AI on ad targeting02:24 - Bulk files and prompts in Amazon ad campaigns02:54 - The role of AI in the future of advertising03:21 - Traditional ads vs. AI-powered ads: What's more effective?----------------------------------------------Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

What's the real impact of your advertising - and how do you know when you've reached the point of diminishing returns? In this episode, Emma sits down with Iñigo Gutierrez Fernandez, Analytics & Insights Associate Principal at Amazon Ads, for a behind-the-scenes look at the science powering smarter budget decisions.Iñigo unpacks Amazon's holistic measurement framework, from pinpointing the “tipping point” for ad efficiency, to understanding both immediate and long-term campaign impact, and even tracking omnichannel results through the Amazon Shopper Panel. You'll learn how to move beyond guesswork and use data to identify when your investment is working, which channels drive lasting value, and how to build a strategy that fits your brand's goals.

Send us a textThe video describes Amazon Ads' new benchmark report, a feature available through the Campaign Manager that helps sellers evaluate their advertising performance compared to industry standards. The report provides metrics on key performance indicators like cost per click, purchase rates, and new-to-brand metrics, allowing sellers to compare their results against category averages. This can help sellers determine if their advertising strategy is competitive within their category.The benchmarks include data such as the average cost per click (CPC), where the user's CPC can be compared with the benchmark for the same category, giving insight into whether they are overspending or underperforming. Similarly, the report tracks metrics like cost per purchase and purchase rate for new-to-brand customers. By comparing these values, sellers can see how their performance stacks up against competitors in the same category.The introduction of benchmarks allows sellers to make more informed, data-driven decisions by offering insights into whether their campaigns are on track with the industry standard or if adjustments are needed. This is particularly valuable for sellers who may be uncertain about their advertising strategy or spending, providing a clearer perspective on how they compare with competitors.The video encourages users to explore this new benchmark feature within their Amazon Advertising console and take action based on the insights provided, potentially optimizing their campaigns or making necessary adjustments to improve performance relative to their category.#AmazonAds #AmazonMarketing #EcommerceGrowth #AmazonBenchmarks #adperformance Want free resources? Dowload our Free Amazon guides here:Q4 Selling Playbook: https://bit.ly/46Wqkm3 2025 Ecommerce Holiday Playbook: https://bit.ly/4hbygov Amazon PPC Guide 2025: https://bit.ly/4lF0OYX 2025 Ecommerce Holiday Playbook: https://bit.ly/4hbygovAmazon Crisis Kit: https://bit.ly/4maWHn0Amazon SEO Toolkit: https://bit.ly/457zjSlNeed personalized help? Book a call now and let's drive your performance to the next level! https://bit.ly/4jMZtxuTimestamps:00:00 - Amazon Ads Benchmark Report01:20 - Comparing Your Campaign to Competitors02:30 - Understanding Cost Per Click and Cost Per Purchase03:10 - What Does This Benchmark Data Mean for Your Brand?04:00 - How to Use Benchmark Data for Better Amazon Ads----------------------------------------------Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

Every brand wants to drive stronger results - and truly understand what's behind them. In this episode, we're live from unBoxed at the Partner Content Studio with Paula Despins, VP of Campaign Measurement, Planning, and AMC, for an inside look at Amazon's latest launches that are transforming campaign development, optimization, and measurement. Amazon's new Ads Agent empowers advertisers to build smarter audiences and campaigns, and democratizes access to AMC insights that further help understand what's driving real growth for your business.

Send us a textLearn why you can only use one audience adjustment in Amazon ads at a time and how this impacts your campaign segmentation. This limitation can actually help you target specific customer niches and optimize conversion rates. Leverage My Amazon Guy's expertise to refine your Amazon ad campaigns and achieve better results with more granular targeting.Get the Ultimate Q4 Playbook for Amazon sellers, ensure your ads perform at their best this season! https://bit.ly/46Wqkm3Book a strategy call to refine your Amazon ad campaigns and boost your targeting efficiency today! https://bit.ly/4jMZtxu #AmazonAds #AmazonPPC #AudienceSegmentation #AmazonAdvertising #AdCampaignTipsWatch these videos on YouTube:https://youtu.be/WukdCZ6WVbchttps://youtu.be/8w8bP3jH37g-----------------------------------------------Maximize your holiday sales with our Ultimate Q4 Playbook, grab it before it's too late! https://bit.ly/46Wqkm3Plan for a booming holiday season with the 2025 Ecommerce Holiday Playbook. Download the guide now and grow beyond Amazon: https://bit.ly/4hbygovStop wasting ad spend,download our PPC guide and run campaigns that actually convert: https://bit.ly/4lF0OYXDon't wait for chaos, grab the Amazon Crisis Kit before your traffic or rankings take a hit: https://bit.ly/4maWHn0Timestamps00:00 - How to Best Utilize Amazon Audiences00:20 - Question: Can You Use More Than One Audience Adjustment on Amazon Ads?00:40 - Explanation: Why You Can Only Use One Audience in Amazon Campaigns01:00 - How Audience Groups Affect Bid Adjustments and Campaigns01:30 - Segmentation Strategy: Targeting Different Customer Niches in One Campaign02:00 - Why Retargeting vs New-to-Brand Audiences Yield Different Results02:20 - Conclusion: Getting Granular with Audience Targeting in Amazon Ads----------------------------------------------Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

In this episode, let's talk about how AI is transforming Amazon selling, from product research and listings to ads, Rufus optimization, and TikTok Shop growth.

In this episode, host Josh interviews Matt Altman, marketplace lead at Right Side Up, about advanced strategies for launching and scaling brands on Amazon. Matt shares actionable insights on budgeting for product launches, optimizing PPC campaigns by focusing on conversion rates, and leveraging Amazon's internal data tools. He emphasizes the importance of consistently launching new, non-competing products to avoid cannibalization and drive growth. The discussion concludes with practical takeaways for sellers aiming to scale, plus an offer for a free brand audit from Matt's agency, Right Side Up.Chapters:Introduction to Matt Altman and Right Side Up (00:00:00)Josh introduces Matt Altman, his background, and the success of his agency, Right Side Up.Current Product Launch Strategies on Amazon (00:00:31)Matt discusses effective modern tactics for launching new products and the importance of a sufficient launch budget.Budgeting for Product Launches (00:01:02)Explanation of current budget requirements, category selection, and why launch budgets have increased.Estimating Launch Budgets and Pre-Launch Data Collection (00:02:54)How to estimate launch budgets, use Amazon Ads, and gather pre-launch data using search query reports.Leveraging Search Query Performance Reports (00:04:14)Matt explains the value of Amazon's search query performance reports versus brand analytics.Keyword Targeting and PPC Campaign Setup (00:05:19)Details on targeting specific keywords, campaign types, and optimizing for conversion rates over ACOS/TACOS.ASIN Targeting and Relevancy Building (00:07:44)Using ASIN targeting campaigns to build relevancy for launch keywords and leveraging historical data.Scaling to Eight Figures and Beyond (00:08:09)Advice for established sellers on scaling, focusing on new product launches, and avoiding complacency.Avoiding Product Cannibalization and Diversifying Product Lines (00:10:41)Strategies to prevent keyword overlap, expand product lines, and increase brand reach without cannibalizing sales.Actionable Takeaways for Sellers (00:12:54)Josh summarizes three main takeaways: aggressive product launches, PPC optimization via conversion rates, and image optimization.Strategic Delegation and Removing Bottlenecks (00:15:04)Matt advises stepping back, identifying bottlenecks, and delegating to scale the business effectively.Conclusion and Free Audit Offer (00:16:20)Matt shares where listeners can learn more and offers a free audit for podcast listeners.Links and Mentions:ToolsRight Side UpAmazon Search Query ReportsBrand AnalyticsPacvueEcom AnalyticsData DiveTranscript:Josh 00:00:00  Today, I'm super excited to introduce you to Matt Altman. Matt leads the marketplace at right side up. Matt has over 12 years of selling experience. He's launched and sold multiple personal brands, all starting from a retail arbitrage budget. Four years ago, he started an agency right Side up to help high growth CPG brands focus on dominating the marketplace. They've been able to scale many brands from 0 to 3 million in monthly sales. Welcome to the podcast, Matt.Matt 00:00:29  Thanks for having me. Josh, how are you doing?Josh 00:00:31  Doing great. What are some of the key things that you, you advise or recommend when launching a brand new product on Amazon that are working today? Because, as you know, a lot of those black hat tactics, you know, have come and gone. you also have the, you know, the rebates that everybody was doing, and now it's kind of leveled the playing field a little bit more. Tell me what you're doing that's been working for you guys.Matt 00:00:55  Yeah. So first off, I think that the biggest thing is making sure you have a big enough budget to launch your products.Matt 00:01:02  like the days of 5 to $10,000 budgets to launch products are just gone in my eyes, at least in the spaces that I work in. so we usually overestimate our budgets by like 20 to 30% of what we actually think it would be just to make sure that we're in a good place in case it doesn't go the way that we want it to. but outside of that, we're looking for a couple of major things. one is we want to see continued growth in the category. Amazon's making that way easier now with like the search query reports, the product Opportunity Explorer. There's so many internal tools that they're giving you access to now that you can really easily find that. And then the other big thing that we're looking for is categories that you've got maybe like 3 or 4 power players in. And by power players they aren't really doing that much. They're still kind of growing, but they're ahead of like the other 20 items there. really it just kind of is showing us that, hey, there's enough sales to go around.Matt 00:02:01  If these four people can all kind of be around the same and customers really don't care which one they're choosing right now, they're just basically picking whichever ones at the top from what we can see. So yeah, we used to go into very heavy like categories where you would just, I mean, like launches would be half 1 million to $1 million. Wow. and if you could make them work. Yeah. The payback is amazing because of the volume that some of those categories do. But if you lose, like, it absolutely sucks. so for sure, what we're looking at like 50 to $75,000, to launch a product right now and the supplement space that we're kind of going after, and we've seen it, it's kind of the sweet spot for everything. so if we do find a product and we think it's going to cost more than that to actually launch it, we'll hold off for a bit and see if we can find some other ones that are within our kind of thresholds.Josh 00:02:53  That makes sense.Josh 00:02:54  So how do you estimate, you know, that budget, right. What's the difference between a half 1 million to $1 million product launch budget versus something that's 50 to $75,000? And how do you estimate that?Matt 00:03:07  Yeah. So the the biggest thing is ads. I mean, we've really in the last like three months, all of our launches have been almost exclusively on Amazon through Amazon Ads. so we're pulling averages of cost per clicks through the advertising API and really just looking at, okay, what is the conversion rate of the top products? If we wanted to spend to get that conversion rate on that keyword, like what would it cost us per day and working that backwards? the other big thing that I don't know anyone else that's kind of touched on this, but what we what we've been doing here recently is we have a seller account where we'll create the product beforehand. It's not the product that we're actually going to sell. We'll put some items as merchant fulfilled, and then we'll just have ourselves by the products.Matt 00:03:54  So that way we get all the search query report data for that product before we actually launch it.Josh 00:03:58  Oh, that's that's fascinating. So you do that in a separate account then? Is that what you're saying?Matt 00:04:03  We've been doing it in the same account, just like a different brand name. and throw up a listing merchant fulfilled and do a couple buys through it, and then you get all that data.Josh 00:04:14  Intere...

Send us a textLearn why running ads can impact your organic sales and what to do when performance drops. This video breaks down audience targeting, keyword mistakes, and ways to fix PPC without hurting ranking. Understand campaign segmentation and optimize both ad and organic growth.Your ads are doing damage, book a strategy call to fix what's killing your organic sales: https://bit.ly/4jMZtxuDominate holiday sales with the Q4 Playbook every top brand is using right now: https://bit.ly/46Wqkm3#AmazonAds #OrganicRanking #PPCStrategy #AmazonSalesTips #keywordoptimization Watch these videos on YouTube:Top 5 Questions Answered in Our Amazon AMA: Strategies for Niche Success: https://youtu.be/0x8CjbZgYt0Top 10 PPC Tips (that are most viewed on channel): https://youtu.be/WukdCZ6WVbc-----------------------------------------------Plan your biggest year yet, get the 2025 Ecommerce Playbook today: https://bit.ly/4kOz6rrStop wasting ad spend. Grab the PPC guide that actually drives results: https://bit.ly/4lF0OYXRank higher and sell faster, get the SEO tools built for real growth: https://bit.ly/3JyMDGoDon't wait for a performance drop—download the Crisis Kit and protect your store: https://bit.ly/4maWHn0Timestamps00:00 - Ad Strategy Causing Organic Sales Drop  00:42 - Branded Keywords Are Cannibalizing Ranking  01:34 - Campaign Spend Too Low for New Targets  02:11 - Why Low ACoS Can Be a Red Flag  02:51 - Campaigns Not Delivering or Converting  03:26 - Fixing Old Negations and Revisiting Keywords  04:06 - Missing Audience Segmentation from AMC  05:01 - Building New-to-Brand Campaigns for Growth  06:00 - Category Targeting to Reach New Shoppers  06:45 - Understanding Drop-Off on Product Pages ----------------------------------------------Follow us:LinkedIn: https://www.linkedin.com/company/28605816/Instagram: https://www.instagram.com/stevenpopemag/Pinterest: https://www.pinterest.com/myamazonguys/Twitter: https://twitter.com/myamazonguySubscribe to the My Amazon Guy podcast: https://podcast.myamazonguy.comApple Podcast: https://podcasts.apple.com/us/podcast/my-amazon-guy/id1501974229Spotify: https://open.spotify.com/show/4A5ASHGGfr6s4wWNQIqyVwSupport the show

How To Troubleshoot Falling Sales on Amazon reveals the exact framework to diagnose and fix declining Amazon PPC and Amazon Ads performance.In this That Amazon Ads Podcast episode, we break down real campaign data to who you how to separate traffic problems from conversion issues, then fix what's actually broken.Watch us map the funnel: impressions → CTR → clicks, then analyze CTR and CVR by placement (top of search vs. product pages).We connect CPC, RPC, and ACOS directly back to sales movement.See a live comparison of a 10% growth month versus a -24% decline month, identify exactly where clicks disappeared, and use Search Query Performance (SQP) to uncover root causes.You'll walk away with a reputable diagnostic checklist to restore profitable visibility and accelerate growth with Amazon PPC.Perfect for sellers and managers serious about scaling Amazon Ads profitably.Subscribe to That Amazon Ads Podcast for weekly Amazon PPC strategy and troubleshooting deep-dives.

In this exclusive Amazon Accelerate Interview, I sat down with Trevin Peterson, one of the most recognized voices in the Amazon FBA space, to unpack the evolution of Amazon Ads - from the early days of basic Sponsored Products to today's full-funnel, content-driven ad ecosystem.   Trevin shares how he went from discovering FBA in 2017 to building multiple 7-figure brands, and reveals the biggest shifts every seller needs to understand heading into 2025, including:   Why video ads are the most undervalued opportunity on Amazon right now The difference between ACOS vs. TACOS (and why most sellers track the wrong metric) How to use Amazon Influencers and Creator Connections to boost conversions What makes Sponsored Brands and Sponsored Display essential for a complete ad funnel Why "trusting the process" matters when scaling profitably through PPC   Whether you're a beginner trying to understand Amazon advertising or a brand owner optimizing ad spend across multiple campaigns, this episode will help you see where the real leverage is hiding in 2025. #AmazonAds #AmazonAccelerate2025 #Ad

In this episode, AI expert Andrew Bell joins us to show step-by-step how to turn a single Amazon product photo into a polished, scroll-stopping video using AI tools like Sora 2, Amazon Ads' AI video generator, and Gemini.