Podcasts about plg

Activation is the most overlooked growth lever in SaaS, especially for PLG-focused companies. While founders obsess over acquisition, pricing, and retention, they often overlook low-hanging fruit with activation.  In this episode of In Demand, Asia and Kim break down what activation actually is, why most teams misunderstand it, and how to improve it using a clear, repeatable process. Asia shares why pop-ups and walkthroughs are not a strategy, why survivor bias is distorting your view of product performance, and how as few as three to five UX interviews can unlock growth. If you have a free trial, self-serve motion, or product-led growth model, this episode walks through a practical framework to improve activation. Got a question you'd like Asia to unpack on the podcast? Record a voicemail here. Links:  DemandMaven https://www.userinterviews.com/ Respondent.io Amplitude Mixpanel Chapters (00:01:00) - Why activation is often an overlooked growth lever in PLG SaaS.(00:04:05) - What activation actually means and how it connects acquisition and retention.(00:11:00) - Why pop-ups, overlays, and onboarding walkthroughs aren't working as well anymore.(00:14:00) - What good trial-to-paid benchmarks look like and why most bootstrappers leave money on the table.(00:19:45) - The process of improving activation, starting with step one, UX interviews with qualified strangers.(00:28:05) - What to pay attention to when doing UX interviews.(00:30:55) - The three levers to improve UX: cognitive overload, uncertainty, and limited attention.(00:36:50) - What steps to take after making initial improvements.(00:42:00) - How to think about later-stage activation.(00:52:45) - Activation starting from your homepage.

Quand une boite fusionne CPO et CTO en un seul rôle, ça dit quelque chose sur l'avenir du Product.

Feature-and-function decks aren't winning anymore. In this episode of Renegade Marketers Unite, Drew sits down with Bob Wright (Firebrick) to break down how B2B CMOs can use positioning to drive growth, shorten sales cycles, and stand out in crowded markets.  They unpack why product-first stories fail, how to get to "one voice" across the company, and what it really means to own a key business problem that buyers care about. In this episode:  The three biggest positioning mistakes: product-first thinking, misalignment, and no owned problem  Creating urgency when "do nothing" is the real competitor  Why "why you, why now" matters more than "how it works"  When and how to rethink positioning after PLG, acquisitions, or expansion  How to stand out in a world of AI sameness  Building positions that sales actually uses If your messaging is drifting into "blah blah blah" territory, this episode will help you reset around problems, not products.  For full show notes and transcripts, visit https://renegademarketing.com/podcasts/ To learn more about CMO Huddles, visit https://cmohuddles.com/

In this episode of Growthmates — The Creator's Path, Kate Syuma speaks with Michael Ridd — founder of Inflight, creator of Dive Club, and former creator of Figma Academy.Michael shares how he intentionally shifted from selling his time to building leverage through distribution.—

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Are you actually growing your product, or just stacking signups that never turn into usage?A lot of teams get stuck there. More registrations feel good, but it's not the same as real usage, paid adoption, and a pipeline you can trust. And now with AI in the mix, it's easy to create more activity without getting more signal.In this episode of B2B SaaS Marketing Snacks, hosts Stijn Hendrikse and Brian Grav bring on their first guest, Alex Laventer.Alex has spent years in growth roles in B2B SaaS, including leading growth at DataStax and now leading go-to-market work on an AI agent product at IBM.The conversation gets practical fast, what “growth” really means, and how teams split (or combine) growth marketing and product growth.You'll walk away with a clearer way to measure growth, how to set up tracking you can rely on, and where AI can help (and where it tends to distract), including lead scoring and workflow automation.In this episode, you'll learn:Why signups mislead growth conversationsWhere teams lose signal without trackingHow PQLs connect product and marketingPerspective on sales assist with PLGExample: AI-assisted lead scoring workflows By the end, you'll know what to measure, what to ignore, and what to fix next so “growth” stops being a vague label and starts being a real operating system. Resources shared in this episode:BSMS 88 - Why founders overestimate PLG, and what VCs should check before investingBSMS 23 - Product led growth vs. sales led growthThe Foundation of a Successful SaaS GTM (Go-to-Market) Strategy T2D3 CMO MasterclassSubmit and vote on our podcast topicsABOUT B2B SAAS MARKETING SNACKSSince 2020, The B2B SaaS Marketing Snacks Podcast has offered software company founders, investors and leadership a fresh source of insights into building a complete and efficient engine for growth.Meet our Marketing Snacks Podcast Hosts: Stijn Hendrikse: Author of T2D3 Masterclass & Book, Founder of KalungiAs a serial entrepreneur and marketing leader, Stijn has contributed to the success of 20+ startups as a C-level executive, including Chief Revenue Officer of Acumatica, CEO of MightyCall, a SaaS contact center solution, and leading the initial global Go-to-Market for Atera, a B2B SaaS Unicorn. Before focusing on startups, Stijn led global SMB Marketing and B2B Product Marketing for Microsoft's Office platform.Brian Graf: CEO of KalungiAs CEO of Kalungi, Brian provides high-level strategy, tactical execution, and business leadership expertise to drive long-term growth for B2B SaaS. Brian has successfully led clients in all aspects of marketing growth, from positioning and messaging to event support, product announcements, and channel-spend optimizations, generating qualified leads and brand awareness for clients while prioritizing ROI. Before Kalungi, Brian worked in television advertising, specializing in business intelligence and campaign optimization, and earned his MBA at the University of Washington's Foster School of Business with a focus in finance and marketing. Visit Kalungi.com to learn more about growing your B2B SaaS company.  

Woody Klemetson scaled sales from 100 people at Divi to 350 at Bill.com post-acquisition, then walked away to build something harder: infrastructure for hybrid AI-human revenue teams. At AskElephant, he's tackling the problem that every revenue leader faces but few can articulate—how to actually implement AI in revenue operations when your systems weren't built for it. With zero marketing spend, AskElephant hit 400% growth through pure referral motion and converts 85% of pilots to production (versus single digits industry-wide). Woody breaks down why most "AI-ready" companies aren't, how to structure pilots that actually ship, and what it takes to hire sellers who orchestrate agents instead of relying on armies of support staff. Topics Discussed: Post-acquisition culture collision: the cost of moving too fast versus too slow Why "AI readiness" is usually one person at a company, not the organization  The 27-agent CRM system that delivers 5% forecast accuracy without human input  Revenue outcome systems as category evolution: solving for predictability across disconnected tools  Pilot-first GTM that converts at 85% by starting with one-minute-per-day wins  Partner-led distribution through consultants evolving from slideware to implementation  Hiring ops-minded sellers who code: over half of non-engineers using Cursor daily  The PLG expansion coming in 2025 and why traditional demand gen is getting tested alongside door-to-door GTM Lessons For B2B Founders: Culture integration requires explicit deceleration early: Woody's team assumed Bill.com wanted their aggressive startup velocity immediately post-acquisition. They didn't slow down to map cultural differences, causing "whiplash" across 350 people. The specific mistake: not creating space to understand Bill's processes before challenging them. Even when acquired for your approach, the first 90 days should be listening and mapping, not executing. Only after understanding their system can you effectively challenge and merge cultures. This applies whether you're acquiring or being acquired—the cultural work is non-negotiable and front-loaded. Diagnose AI readiness by system documentation, not enthusiasm: Most companies think they're AI-ready because leadership wants AI. Reality check: if your teams haven't documented their systems and processes, AI has nothing to learn from. AskElephant starts some customers with basic dictation—not because it's revolutionary, but because it's the prerequisite to anything meaningful. The diagnostic question: "Walk us through your current customer journey." If the answer is "we have sales stages," you're not ready for automation. You need documented systems before AI can execute them. Start by having AI observe and document before it acts. Build agents incrementally to compound context: AskElephant runs 27 different CRM agents that collectively deliver 5% forecast accuracy. This wasn't built in one sprint—it took 40 hours of training and context-building. Each agent handles a specific job: contact creation, data enrichment, ICP scoring, churn monitoring, stage updates. The misconception founders have: AI should work perfectly from the first prompt. The reality: you build agents brick by brick, each one learning from the previous context layer. This is why their forecasting works—because 27 agents watching different signals together create accuracy that one "smart" agent can't. Pilot conversion at scale requires deliberately small scope: Single-digit pilot-to-production rates happen because teams scope too big. AskElephant's 85% conversion comes from "dream big, implement small." First pilot: automated CRM notes. Then: notes humans wish they'd written. Then: automated field updates. Each step saves minutes, builds trust, proves value. Woody's framework: if you're not saving one minute per person per day in your first pilot, you've scoped wrong. The goal isn't to wow with ambition—it's to ship something that works perfectly, then expand from proven trust. Their customers average 27 hours saved per week per person, but none started there. Revenue outcome systems emerge from tool sprawl failure: Every revenue leader uses 15-20 disconnected tools trying to make revenue predictable. The category insight isn't "operating systems"—it's that companies care about outcomes, not operations. AskElephant's positioning: we focus on the outcome (predictable revenue), not just the operating infrastructure. This distinction matters because it shifts the conversation from technical plumbing to business results. When creating categories, find the frame that makes the buyer's problem visceral and your solution inevitable, even if you're solving similar problems as others in the space. Partner-led GTM turns consultants into distribution: AskElephant's entire growth came through partners: Salesforce/HubSpot consultants becoming AI strategists, sales coaches extending from training to implementation. The unlock: these partners needed a way to deliver lasting value beyond slideware. Previously, a coach would train your team and leave. Now they implement AI systems that hold teams accountable to the training, creating longer engagements and better outcomes. For founders: identify services providers whose business model gets dramatically better by incorporating your product. They become your sales force because you make them more valuable to their clients. Hire for orchestration capability, not pure sales skill: Over half of AskElephant's non-engineering team uses Cursor daily. Woody hires "ops-minded" and "tech-minded" sellers who can manage AI agents alongside human work. The old model: silver-tongued seller + solutions engineer + 27 support people. The new model: one seller orchestrating 27 AI agents. These reps don't build lists, don't create SOWs, don't write product scopes, don't need SEs for demos. But they still need human connection skills—listening, curiosity, presence. The hiring filter: can this person think in systems and implement technical solutions while maintaining high-touch relationships? If they can't code enough to orchestrate agents, they can't scale in this environment. // Sponsors: Front Lines — We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. www.FrontLines.io The Global Talent Co. — We help tech startups find, vet, hire, pay, and retain amazing marketing talent that costs 50-70% less than the US & Europe. www.GlobalTalent.co // Don't Miss: New Podcast Series — How I Hire Senior GTM leaders share the tactical hiring frameworks they use to build winning revenue teams. Hosted by Andy Mowat, who scaled 4 unicorns from $10M to $100M+ ARR and launched Whispered to help executives find their next role. Subscribe here: https://open.spotify.com/show/53yCHlPfLSMFimtv0riPyM

Today we tackle the noise surrounding the AI movement with Paul Klein, CEO and Founder of Browserbase. With a career spanning early-stage Twilio to raising $70 million in under two years for his own infrastructure startup, Paul brings much-needed critical thinking to the "AI bubble" debate. We explore the bridge between old-world sales principles and modern, developer-first GTM strategies. Paul breaks down why Product-Led Growth (PLG) should be viewed as a pipeline engine rather than just a revenue machine and explains the power of the "Logo Flywheel" in creating executive FOMO.

Some of the most powerful ideas in marketing don't come from marketing at all. They come from stories that refuse to play it safe.That's the lesson of Dune, the sci-fi epic once considered unfilmable and now one of the most successful franchises of the decade. In this episode, we break down its marketing lessons with the help of our special guest Madhav Bhandari, Head of Marketing at Storylane.Together, we explore what B2B marketers can learn from world-building, pattern interruptions, and betting on emerging talent.About our guest, Madhav BhandariMadhav Bhandari is the Head of Marketing at Storylane. He's a a B2B marketer with 12+ years of experience helping startups grow from scrappy beginnings ($2M+ ARR) to category leadership ($20M+ ARR and beyond). Madhav built lean, high-performing marketing engines across both PLG / sales-led companies. His strength and philosophy is doing marketing that stands out. I focus on work that drives action and ties directly to pipeline.Madhav has helped many scale-ups grow beyond $10M ARR, either as a full-time leader or a hands-on advisor. I love taking on this challenge.What B2B Companies Can Learn From Dune:Show the product, don't narrate it. Madhav's first lesson from Dune is about restraint. The film works because it removes exposition and lets the audience experience the world firsthand. He draws a direct parallel to B2B marketing, saying, “ You've seen the B2B website homepages that are just full of jargon.  And I think now is the time to actually show the product.” Too many B2B teams rely on jargon, stock imagery, and abstract claims, forcing buyers to imagine value. The takeaway is simple: remove the guesswork. Interactive demos, real visuals, and tangible experiences outperform explanations every time. If buyers have to imagine what your product does, you've already added friction.Go where the work is unpopular but important. In Dune, the most valuable resource in the universe lives in the most unremarkable place. Madhav says, “ Unpopular but important projects, that's where the largest customer growth lies.” In marketing, that means resisting the pull of flashy homepage redesigns and brand exercises when the real leverage sits deeper, product pages, conversion paths, and messy parts of the funnel no one wants to own. If everyone wants to work on it, it's probably already optimized. The real upside lives where attention is scarce.Bet on emerging voices, not just famous ones. Dune didn't rely on a single A-list star to succeed, and Madhav has seen the same dynamic play out in B2B. His experience is clear: “ anytime I've gone with… a very popular influencer… that I interviewed, those episodes the way I thought they would perform, didn't really perform that well. Bu what's funny is that the people that are relatively unpopular but have done incredible work are the episodes that did fantastic.” Big names feel safe, but they're expensive and often underdeliver. Audiences respond more to sharp thinking and real experience than borrowed fame. In B2B, the fastest way to build trust is to help your audience discover someone worth listening to, before everyone else does.Quote“ Today, in our world, sameness is risky… The worst that could happen … is it's gonna perform the same as if you would've not done that, and the best case scenario is it's just gonna do insanely well.” Time Stamps[01:03] Meet Madhav Bhandari, Head of Marketing at Storylane01:08 Why Dune?01:51 Role of Head of Marketing at Storylane02:37 Breaking Down Dune10:53 B2B Marketing Takeaways from Dune25:18 Influencer Campaign Strategies28:28 The Power of Brand Awareness31:12 Storylane's Marketing Strategy35:08 Creative Marketing Examples38:37 Content Strategy and Founder Branding45:25 Final Thoughts and TakeawaysLinksConnect with Madhav on LinkedInLearn more about StorylaneAbout Remarkable!Remarkable! is created by the team at Caspian Studios, the premier B2B Podcast-as-a-Service company. Caspian creates both nonfiction and fiction series for B2B companies. If you want a fiction series check out our new offering - The Business Thriller - Hollywood style storytelling for B2B. Learn more at CaspianStudios.com. In today's episode, you heard from Ian Faison (CEO of Caspian Studios) and Meredith Gooderham (Head of Production). Remarkable was produced this week by Jess Avellino, mixed by Scott Goodrich, and our theme song is “Solomon” by FALAK. Create something remarkable. Rise above the noise. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of Growthmates — The Creator's Path, Kate Syuma sits down with Ioana Teleanu for a deeply honest conversation about identity, burnout, and creating in a world shaped by AI.Ioana shares what happened after years working at UiPath and Miro, building award-winning AI products, teaching AI design, and speaking on global stages — when her professional identity suddenly stopped making sense.—

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Topics Covered Influencer marketing as a modern demand lever in a “feeds are flooded” environment (credibility + distribution vs polish)Building an influencer program as a repeatable system (not one-off posts)Aligning influencer strategy to GTM motion: PLG + sales-led dual motion, fast sales cycle, and audience behavior on LinkedInTalent sourcing: internal creators, power users, frontline thought leaders, executive narrative voices, and “entertainer/evangelism” creatorsUsing influencer content as paid social creative (thought leadership ads) and deciding what to amplifyProgram mechanics: 3-month trials, post cadence, onboarding, briefs, review cycles, and relationship managementIncentives tied to outcomes (PLG signup bonus, ARR percentage via UTM)Measurement options: cost per signup, CPM/efficient reach, ABM-style reach goals, qualitative signals, and attribution constraintsQuality control: “smell test” for AI slop, engagement pods, and meaningful comment engagementActivation workflow: first-hour engagement, “let it cook” windows, reporting, UTM updates for paid vs organic, and distribution trade-offsQuestions This Video Helps AnswerHow do you structure B2B influencer marketing so it drives demand (not just awareness) without becoming random acts of promotion?How should a B2B team align influencer strategy to GTM motion (PLG vs sales-led) and measurement constraints?What's the best place to start: internal creators, power users, or external influencers?How do you choose influencer “types” (executive narrative, frontline education, entertainment/evangelism) based on goals?What contract length and cadence reduces the risk of declaring influencer “doesn't work” too early?How do you turn influencer posts into paid social assets using thought leadership ads?What's a practical incentive structure for creators tied to signups and revenue (UTM-based)?How do you spot inflated performance from AI-generated engagement or engagement pods?When should you promote a post, and when should you leave it organic?How can you evaluate influencer impact using CPM, reach, signups, and qualitative sales signals?Key TakeawaysIf you want results, avoid one-off influencer posts; start with at least a 3-month trial so performance can compound and audience association can form.In crowded feeds, influencer works because it combines trust with distribution; paid amplification (thought leadership ads) can make “small” creators valuable when the story is strong.Start sourcing from internal creators and product power users first; they're cheaper, more credible on use cases, and their content can be promoted to the right audience.Make onboarding and relationships non-negotiable: demo the product, ideate together, and set a clear review cycle so feedback doesn't show up only as late-stage Google Doc edits.Tie incentives to business outcomes and effort: bonus for PLG signups over the contract window, percentage of ARR from UTM-driven revenue, and paid boosts for high-performing posts (which also benefits the creator's audience growth).Don't boost everything: let posts run organically first, then selectively promote what's likely to work in paid (not every organic winner is a paid winner).Quality control requires human judgment: scan comments and engagement patterns for meaningful conversation vs AI slop, pods, or gamed metrics.

Today on the show, we have Matthew Tharp, CEO of Hunter.io, the all-in-one email outreach platform used by over 4 million people to identify prospects and run cold email campaigns. Previously, Matthew was VP of Worldwide Retention at LogMeIn, where he owned NRR across nine products—giving him a rare masterclass in retention challenges at different stages and scales.In this episode, we uncover why retention isn't a problem you solve when growth stalls—it's DNA you build from day one. Matthew shares the paradox of his career: building a company with 95%+ annual retention that got acquired, versus joining a high-growth PLG business with churn issues that needed solving before scaling further.We explore why over-indexing on either growth or retention creates problems, how to identify the usage patterns that predict churn in the first three weeks, and why every company that tries to fix retention late struggles. The lesson: balance from the beginning beats transformation later.We also discuss how Hunter achieved 3X growth this year by going back to basics—running a rigorous ICP analysis, choosing battles they could win instead of markets where competitors were spending $100M, and layering new customer segments without creating product bloat.Finally, we dig into cold outreach data: why email lists under 100 people dramatically outperform larger ones, why shorter emails force the clarity that drives replies, and how constraints—not scale—are the real performance lever in outbound.As always, I'd love to hear from you. You can email me directly at andrew@churn.fm, and don't forget to follow us on X.Churn FM is sponsored by Vitally, the all-in-one Customer Success Platform.

In this episode, Rich breaks down the wild story of Fathom's launch. He reveals how they secured a prime spot on the Zoom Marketplace and generated 100,000 signups in 30 days—only to realize 99.9% of them were useless. He discusses the pivot to monetization when the market crashed, how to design a product for viral loops, and why staying in private beta for 10 months was the best decision he ever made.Why You Should ListenWhy getting 100,000 signups in a single month nearly killed the company.How to use the "Iceberg Strategy" to build a defensible moat.Why you should attack the "800-pound gorilla" incumbent.How to hit $100k ARR by selling a roadmap that doesn't exist yet.The "Visible Feature" mechanic that drives zero-cost viral growth in B2B.Keywordsstartup podcast, startup podcast for founders, viral growth, product market fit, AI startup, freemium strategy, Zoom marketplace, PLG, B2B sales, Fathom00:00:00 Intro00:03:14 Why Sales Reps Hated Gong00:07:54 Betting on Transcription Costs Going to Zero00:11:52 The 10 Month Private Beta Strategy00:17:46 The Zoom Marketplace Launch00:19:52 100k Signups and Zero Growth00:26:39 Selling a Roadmap to Hit 100k ARR00:33:53 The Viral Loop of Visible Bots00:36:12 Why Enterprise Sales Was a Trap00:39:51 The Moment of True Product Market FitSend me a message to let me know what you think!

Databox is an easy-to-use Analytics Platform for growing businesses. We make it easy to centralize and view your entire company's marketing, sales, revenue, and product data in one place, so you always know how you're performing. Learn More About DataboxSubscribe to our newsletter for episode summaries, benchmark data, and moreRodrigo Fernandez has helped 400+ SaaS companies drive over $1B in self-serve revenue and he's seen one problem kill growth over and over again: no one truly owns activation.In this episode, Rodrigo breaks down:Why “activation” is almost always misdefined (and who should actually define it)How teams confuse activity with value — and what to track insteadThe fatal flaws in bottom-up metrics and AI gimmicksWhat a real product activation journey looks like (solar system analogy and all)Why most PLG stacks are noisy, bloated, and doomed from the startIf you're stuck at $10M and can't see a path to $20M, this might be why.

In the first episode of the new Growthmates season — The Creator's Path, Kate Syuma sits down with Nad Chishtie — Head of Design at Lovable, founding designer, and former game developer who has built products used by over 50 million people across Asia.Nad shares his unconventional path — from dropping out of university during the early days of Gmail, to building games, products, and AI-powered tools that lower the barrier to creation. They discuss why rigid systems don't work for curious builders, how being a generalist became an advantage, and why perfectionism holds creators back.This conversation explores AI as a creative playground, not just a productivity tool — and what the future of digital creation looks like when anyone can build without permission.Listen now on Apple, Spotify, and YouTube: https://www.youtube.com/watch?v=SGntQ4Bz9QM&t=264s —

Nowy rok, nowy odcinek! Ja i Jasiek wracamy po świątecznej przerwie – z lekkim zimowym luzem i świeżymi tematami technologicznymi na start sezonu.W tym odcinku:

In episode #342 of SaaS Metric School, Ben breaks down the Cost of ARR metric and explains why it's one of the most practical and revealing go-to-market efficiency metrics for 2026 planning. He covers where the metric originated, how to calculate it correctly, and how to use it to sanity-check forecasts and budgets. Ben walks through the three variations of Cost of ARR (blended, new, and expansion), explains why bookings data—not revenue—is required, and shows how benchmarking by ACV provides far more insight than aggregate benchmarks. Resources Mentioned Benchmarkit.ai for SaaS metrics benchmarks Cost of ARR framework: https://www.thesaascfo.com/saas-cac-ratio/ SaaS Metrics Course: https://www.thesaasacademy.com/the-saas-metrics-foundation What You'll Learn What the Cost of ARR metric is and why it matters for SaaS and AI companies The difference between blended, new, and expansion Cost of ARR Why Cost of ARR must be based on bookings, not revenue How improper CAC allocation distorts Cost of ARR results How to use Cost of ARR to validate 2026 forecasts and budgets Why benchmarking by ACV size is more accurate than company size What top-quartile Cost of ARR performance looks like across ACV ranges Why It Matters Cost of ARR quickly exposes unrealistic bookings forecasts It connects sales and marketing spend directly to ARR outcomes The metric helps right-size go-to-market investment for 2026 ACV-based benchmarks prevent misleading efficiency comparisons Tracking trends over time highlights improving or degrading efficiency Cost of ARR works across PLG, sales-led, SaaS, and AI models

Most founders are terrified of "Red Oceans" or markets saturated with massive competitors. They think the only way to win is to find a completely untapped "Blue Ocean." In this episode of the ProductLed 100 series, Wes Bush sits down with Patrick Thompson (CEO of Clarify.ai) and Esben Friis-Jensen (Co-Founder of Userflow) to discuss why entering a crowded market is actually the smartest move a founder can make if you have the right strategy. Patrick reveals how he spent six months interviewing potential customers before writing a single line of code for Clarify, an autonomous CRM designed to disrupt the industry giants. Together with Esben, they break down the exact framework for validating problems, the power of business model disruption through pricing wars, and why "feature parity" is not the goal. Whether you are building a new startup or trying to carve out space in a competitive category, this episode offers a masterclass in customer discovery, positioning, and Go-To-Market execution. Key Highlights: 02:15 : Why Patrick spent 6 months on discovery before writing a line of code 06:53 : The "Red Ocean" Advantage: Why crowded markets are easier than Blue Oceans 10:10 : How to differentiate when features are commoditized 12:34 : Using price and ease of use as a wedge against incumbents 18:31 : The 3-Step Framework for building what people want: ICP, Channels, and Business Model 23:12 : Which acquisition channels actually work (Product Hunt vs. Founder-led Marketing) 30:04 : Why complex products still need human onboarding, even in PLG 36:49 : How to operationalize customer feedback for engineering teams Resources:

Welcome back to the EUVC Podcast where we dive deep into the craft of building and backing venture-scale companies in Europe.Modern software doesn't fail quietly.It fails on Black Friday.It fails while the CFO is in a board meeting.It fails when your biggest customer is mid-way through a critical workflow.And when it does, there's one brutal reality:The data is there but nobody has time to interpret it.Today we're exploring one of the most under-discussed yet mission-critical parts of building modern software: reliability in production.Joining Andreas are:

Wade Foster (CEO) built Zapier into a profitable powerhouse without traditional VC funding—just $1M post-YC, then profitable ever since. On this episode, the co-founder and CEO shares how that capital discipline shaped their ability to pivot hard when AI hit. Wade also dishes on: The GPT-4 moment that shifted Zapier's roadmap A tested formula for AI agents that actually work How to incentivize internal AI adoption   Thanks for tuning in! Catch new episodes every Sunday Subscribe to Topline Newsletter. Tune into Topline Podcast, the #1 podcast for founders, operators, and investors in B2B tech. Join the free Topline Slack channel to connect with 600+ revenue leaders to keep the conversation going beyond the podcast!   Chapters: 00:00 Introduction: Wade Foster and the Age of Agents 02:38 Zapier's Origin: Solving the SaaS Integration Problem 04:14 From Zaps to Agents: The Evolution of Automation 05:07 How GPT-4 Changed Zapier's Internal Strategy 06:43 Unstructured Data and the Rise of Vibe Building 09:56 Why Long-Term Product Roadmaps Are Now Obsolete 13:00 Transitioning from PLG to Enterprise Amidst Competition 17:58 What Actually Works: Defining Successful Agentic Workflows 20:59 Building an AI-Literate Company Culture 26:18 Future Outlook: AI Bubbles vs. Product Reality 27:38 Navigating Board Expectations During Technology Shifts 30:23 Zapier's Capital Efficiency and Fundraising History 33:58 Founder Advice: Prioritizing Long-Term Thinking  

Jeff sits down with Gaurav Agarwal to unpack how first principles thinking helps leaders build repeatable growth without falling back on stale playbooks. They dig into the mechanics of a revenue machine, generate demand, close demand, grow customers, and how ClickUp has evolved from pure PLG to sales-assist and into true sales-led growth.Gaurav also shares a sharp POV on AI agents: where they drive real productivity, why “more output” can create misalignment and “slop,” and what operators must do to keep teams (and agents) pulling in the same direction. If you're navigating GTM strategy, annual planning, or the AI era of execution, this one's packed with frameworks you'll actually use.

Send us a textGuest: Dave Boyce, Executive Chairman & EVP of Product at Winning by Design --  Most SaaS companies are still built to sell. Today's buyers want to activate, experience value, and decide on their own.In this episode, Dave Boyce, Executive Chairman and EVP of Product at Winning by Design, joins host Ken Lempit to explain why SaaS GTM is shifting from lead handoffs to self-service activation, AI-driven automation, and system-based growth.Dave shares why PLG isn't about removing humans, but focusing them on higher-value work — while usage-based pricing and automation blur the line between acquisition, onboarding, and expansion. He also challenges traditional planning models, arguing that people don't scale, systems do.Key takeaways:Activation is replacing lead handoffs in SaaS growthPLG and AI redefine when humans should engageUsage-based pricing lowers friction and builds habitSystems, not headcount, unlock scaleIf you're a SaaS leader rethinking GTM for an AI-driven, self-service world, this episode delivers a practical, no-hype perspective.---Not Getting Enough Demos? Your messaging could be turning buyers away before you even get a chance to pitch.

Ho, ho, ho – świąteczny odcinek LPKpodcast już na Was czeka. Nie podsumowujemy, nie planujemy ale rozmawiamy o tym co przykuło naszą uwagę. W odcinku: Apple uruchomiło usługę Fitness+ czyli nowoczesny trening z kaset VHS

The most future-ready marketing leaders aren't the ones chasing trends… they're the ones who can reinvent themselves every time the industry changes.Michelle Huff, Chief Marketing Officer at Alteryx, joins Marketing Trends to break down the mindset that kept her relevant through every major tech revolution, from Web1 to cloud, SaaS, PLG, and now AI. She explains how to balance curiosity with focus, why AI is really about automating judgment (not just tasks), and how she's redesigning her marketing org around agents, automation, and new workflows.Michelle also shares early results from Alteryx's AI experiments, how she's rebuilding a 700,000-person community, and why great leaders still start with the end user even as their buyer audiences expand. Key Moments:  00:00 – How to Stay Relevant Through Every Tech Shift03:42 – A Career Spanning Web1, Cloud, SaaS, and AI06:58 – Curiosity Is the Ultimate Career Advantage10:12 – When Leaders Should Tinker and When to Delegate13:28 – Building a Marketing Culture That Experiments16:41 – Why AI Is About Judgment, Not Just Automation20:07 – Inside an AI-Powered SDR Outbound Workflow23:34 – Do AI Agents Replace People or Elevate Them26:58 – Upskilling Teams in an AI-Driven Organization30:17 – Why Most AI Content Fails to Break Through33:36 – How to Stand Out in a Noisy B2B Market36:52 – Why Enterprise Brands Lose Touch With End Users39:48 – How Alteryx Built a 700,000-Person Community43:06 – Turning Community Into Competition and Learning46:32 – Early AI Wins That Drive Real Pipeline Impact  This episode is brought to you by Lightricks. LTX is the all-in-one creative suite for AI-driven video production; built by Lightricks to take you from idea to final 4K render in one streamlined workspace.Powered by LTX-2, our next-generation creative engine, LTX lets you move faster, collaborate seamlessly, and deliver studio-quality results without compromise. Try it today at ltx.studio Mission.org is a media studio producing content alongside world-class clients. Learn more at mission.org. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of the Grow Your B2B SaaS podcast, host Joran welcomes back Jacco van der Kooij, founder of Winning by Design, to unpack how AI-native SaaS companies are changing the rules of growth, pricing, and go-to-market in 2026. The conversation covers why real-time user-level data is becoming the defining competitive advantage, the pitfalls and promise of usage-based pricing for AI products, the existential challenge of inference costs for freemium models, and the enduring importance of subscriptions with smart hybrid elements. It also dives into how AI will replace the majority of sales tasks, the 30 percent of human expertise that remains essential, and why advocacy and community-driven growth loops will shape pipeline generation. From early-stage foundations to scaling to $10 million ARR, Jacco breaks down what founders need to get right now to thrive in the years ahead.Key Timecodes(0:00) - B2B SaaS podcast intro, AI native SaaS, pricing, GTM strategy 2026(1:01) - Jacco van der Kooij intro, Winning by Design(1:14) - 2026 success factors: real-time data, PLG, cohort analytics(2:31) - AI native buyer journey, user-led growth, usage patterns(3:48) - SaaS pricing: usage-based vs subscription, outcome-based pricing(4:23) - AI inference costs, freemium risk, monetization challenges(5:05) - Freemium in AI tools, limits, value gating(5:23) - Consumption-based pricing vs subscription, hybrid pricing(6:12) - Hybrid pricing example, membership + per-resolution fees(7:03) - Efficient growth, GTM efficiency, LTV:CAC, retention, outcomes(8:36) - AI for customer insights, demand gen, lookalike users(9:36) - Ad: B2B SaaS affiliate referral platform, AI-powered recruitment(9:47) - AI and jobs: replace vs enable, workforce impact(11:19) - GTM with AI: 70% sales tasks automated, CRM, scheduling, summaries(12:56) - Trust, human expertise, advocacy, risk mitigation(13:59) - Rebuilding GTM 2026: automation, expert touchpoints, events(15:00) - Growth loop: usage patterns, word of mouth, advocacy pipeline(16:26) - Community-led growth: user conferences, LinkedIn sharing, Clay example(17:02) - SDR strategy: activate users, customer success advocacy(17:11) - Early-stage advice: real-time data system, analytics(17:25) - Data stack recommendation: Snowflake, realtime data lake(17:32) - Scaling to $10M ARR: team alignment, closed-loop GTM(18:04) - Shared system understanding: recurring revenue, training(19:01) - Growth Institute by Winning by Design: courses, community, case studies(19:39) - Where to find: winningbydesign.com, Growth Institute(19:45) - Closing thoughts, optimism, AI era(19:54) - Outro: like, subscribe, sponsor, guest/topic requests(20:17) - Reditus mention, B2B SaaS affiliate program

This week on the EUVC Podcast, Andreas Munk Holm sits down with Matthew Wilson, co-founder of Jack & Jill, and Peter Specht, General Partner at Creandum. Fresh off a $20M seed to take their AI recruiting agents global, they dig into how conviction is built in Europe, from founding insight to investor belief, and what it now takes to scale an agent-native company with speed, precision, and craft.Jack helps candidates find and optimize their careers. Jill helps companies hire brilliantly. Together, the two agents form a high-signal, two-sided network that aims to become the world's most networked AI-powered recruitment agency — without the classical incentive conflicts of human middlemen.Here's what's covered:02:35 | Why Creandum leaned in, conviction on voice-based interfaces and why recruiting is a massive, broken vertical for agent AI03:38 | The founding moment: leaving Omnipresent, 18 months in the wilderness, and the February insight that agents make talent marketplaces finally viable07:07 | Recruiting is broken (and AI made it worse): why first-principles thinking is needed to avoid “more noise, not more signal.”09:15 | Investor conviction: founder/market fit, why this moment is different, and the defensibility of a two-sided agentic marketplace12:22 | The user experience: the “coffee chat” with an AI recruiter: deep voice conversation → matching, prep, coaching, introductions16:30 | Solving the incentives trap: why Jack works 100% for candidates and Jill works 100% for companies (fixing agency conflicts)19:10 | Coaching as core: how AI unlocks career guidance, interview prep, and hands-on support that humans rarely get today22:47 | Building fast in the AI era: talent density, global expansion, and why a 20M seed makes sense for a dual-product marketplace26:35 | Two companies in one: scaling Jack (consumer) + Jill (B2B) simultaneously, across markets, with AI leverage34:02 | The GTM playbook: engineering-led marketing, AI-driven creative testing, instant value, and rethinking B2B buying entirely37:47 | The new AI go-to-market: speed, PLG dominance, virality-by-design, and why distribution now matters more than ever43:52 | Two GTM worlds: viral AI products vs. slow, enterprise-heavy AI deployments (and why both will coexist)47:15 | The “productization” of marketing — why engineering now powers growth, not headcount-heavy marketing orgs50:29 | Final advice (VC POV) — start with a unique insight, not a trend; think in 5–10 year arcs, not quick ARR bumps

In this episode of The Effortless Podcast, Amit Prakash and Dheeraj Pandey dive deep into one of the most important shifts happening in AI today: the convergence of structured and unstructured data, interfaces, and systems.Together, they unpack how conversations—not CRM fields—hold the real ground truth; why schemas still matter in an AI-driven world; and how agents can evolve into true managers, coaches, and chiefs of staff for revenue teams. They explore the cognitive science behind visual vs conversational UI, the future of dynamically generated interfaces, and the product depth required to build enduring AI-native software.Amit and Dheeraj break down the tension between deterministic and probabilistic systems, the limits of prompt-driven workflows, and why the future of enterprise AI is “both-and” rather than “either-or.” It's a masterclass in modern product, data design, and the psychology of building intelligent tools.Key Topics & Timestamps 00:00 – Introduction02:00 – Why conversations—not CRM fields—hold real ground truth05:00 – Reps as labelers and the parallels with AI training pipelines08:00 – Business logic vs world models: defining meaning inside enterprises11:00 – Prompts flatten nuance; schemas restore structure14:00 – SQL schemas as the true model of a business17:00 – CRM overload and the friction of rigid data entry20:00 – AI agents that debrief and infer fields dynamically23:00 – Capturing qualitative signals: champions, pain, intent26:00 – Multi-source context: transcripts, email threads, Slack29:00 – Why structure is required for math, aggregation, forecasting32:00 – Aggregating unstructured data to reveal organizational issues35:00 – Labels, classification, and the limits of LLM-only workflows38:00 – Deterministic (SQL/Python) vs probabilistic (LLMs) systems41:00 – Transitional workflows: humans + AI field entry44:00 – Trust issues and the confusion of the early AI market47:00 – Avoiding “Clippy moments” in agent design50:00 – Latency, voice UX, and expectations for responsiveness53:00 – Human-machine interface for SDRs vs senior reps56:00 – Structured vs unstructured UI: cognitive science insights59:00 – Charts vs paragraphs: parallel vs sequential processing1:02:00 – The “Indian thali” dashboard problem and dynamic UI1:05:00 – Exploration modes, drill-downs, and empty prompts1:08:00 – Dynamic leaves, static trunk: designing hierarchy1:11:00 – Both-and thinking: voice + visual, structured + unstructured1:14:00 – Why “good enough” AI fails without deep product1:17:00 – PLG, SLG, data access, and trust barriers1:20:00 – Closing reflections and the future of AI-native softwareHosts: Amit Prakash – CEO and Founder at AmpUp, former engineer at Google AdSense and Microsoft Bing, with extensive expertise in distributed systems and machine learningDheeraj Pandey – Co-founder and CEO at DevRev, former Co-founder & CEO of Nutanix. A tech visionary with a deep interest in AI, systems, and the future of work.Follow the Hosts:Amit PrakashLinkedIn – Amit Prakash I LinkedInTwitter/X – https://x.com/amitp42Dheeraj PandeyLinkedIn –Dheeraj Pandey | LinkedIn Twitter/X – https://x.com/dheerajShare your thoughts : Have questions, comments, or ideas for future episodes?Email us at EffortlessPodcastHQ@gmail.comDon't forget to Like, Comment, and Subscribe for more conversations at the intersection of AI, technology, and innovation.

In this short segment of the Revenue Builders Podcast, we revisit the discussion with Jose Fernandez — former Head of Global Sales Development at Google and now CEO of Easy Comp — breaks down how compensation must evolve when companies shift from traditional SaaS licensing to consumption-based models. Drawing from his experience at Google Ads, one of the most successful consumption engines in business history, Jose lays out the structural advantages of consumption models and how GTM, onboarding, forecasting, and comp plans must align to unlock growth.John McMahon and John Kaplan then expand on how consumption changes seller behavior, deal sizing, renewal dynamics, forecast accuracy, and quota mechanics. This is a must-listen for revenue leaders, sellers, and anyone navigating the industry-wide shift toward usage-based pricing.KEY TAKEAWAYS[00:00:46] Companies transitioning to consumption models often copy SaaS licensing structures instead of designing comp that amplifies consumption-driven advantages.[00:01:34] Three core advantages of consumption models: lower barrier to entry, value-aligned spend increases, and product-led expansion.[00:03:07] Aligning GTM roles — new business, onboarding, and account management — enables scale and fairness in comp.[00:03:57] Forecasting in consumption models becomes an analytical discipline, requiring predictive models rather than rep intuition.[00:05:00] High-quality customer fit at acquisition can result in massive upside — one rep earned huge commission from a $15M three-month advertiser.[00:07:02] In consumption, churn can happen in a week — sellers must ensure rapid value realization, not just contract signing.[00:08:00] Sellers often intentionally downsize initial deals to ensure burn-down and protect compensation.[00:08:59] PLG and sales-assisted models blend; comp must account for small initial usage that grows rapidly.[00:09:48] Companies balance advance payments to reps with clawbacks to protect against churn.[00:10:10] Smart sellers can land small, prove value, and convert usage to multi-year, high-value commitments.QUOTES[00:01:10] “Companies take too much inspiration from the old model instead of designing comp that amplifies the advantages of consumption.”[00:01:56] “Customer spend is directly proportional to the value they get — and their understanding of that value.”[00:02:19] “If you have an amazing product, some of that growth is going to be product-led, regardless of the sales team.”[00:03:57] “Forecasting in a consumption model is an analytical exercise — not something you ask an account executive to guess.”[00:07:54] “In consumption, a customer can use it for a week, turn it off like a light switch, and move on.”[00:08:38] “PLG might start with $500 on a credit card and scale into a major enterprise deal.”[00:09:28] “Sometimes comp gives future credit for usage trajectory — but companies will claw it back if churn happens.”[00:10:33] “There's a lot of gold in this full episode — make sure you check it out.”Listen to the full conversation through the link below.https://revenue-builders.simplecast.com/episodes/driving-sales-behavior-with-effective-compensation-plans-with-jose-fernandezEnjoying the podcast? Sign up to receive new episodes straight to your inbox:https://hubs.li/Q02R10xN0Check out John McMahon's book here:Amazon Link: https://a.co/d/1K7DDC4Check out Force Management's Ascender platform here: https://my.ascender.co/Ascender/ Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of the Thread Podcast, Justin talks with Tyler Will, VP of GTM Strategy & Ops at Intercom, about how modern revenue organizations are evolving in an era defined by AI, PLG-to-enterprise transitions, and go-to-market speed.Tyler shares his journey from economic consulting and Bain, to GTM leadership at LinkedIn, to now scaling RevOps at Intercom. He breaks down the key differences between operating at a 20,000-person giant and a high-velocity SaaS company, why balancing PLG and enterprise sales motions requires intentional system and process design, and how Intercom rebuilt its routing, sales assist, and pricing guardrails to accelerate ACVs and bring clarity back to the customer journey.The conversation digs into how AI is reshaping selling—not by replacing reps, but by giving them time back. From auto-generating QBR decks to enriching data behind the scenes, Tyler explains why AI actually makes sales more human, not less. He also shares why the next generation of RevOps talent will shift from narrow specialists to curious generalists who leverage AI, understand the full GTM workflow, and act as true co-owners of the business.This is a high-signal episode for anyone thinking about PLG evolution, GTM design, AI-powered sales, and how RevOps must evolve to meet the moment.Chapters00:00 — Intro + Tyler's Background Justin sets up the episode; Tyler shares his path from consulting and Bain to LinkedIn to Intercom.02:00 — Early Career Lessons: From Consulting to GTM How economic consulting and strategy work shaped Tyler's analytical and leadership approach.03:30 — Operating at Scale: LinkedIn vs. Intercom Why large enterprise GTM is committee-driven, and how smaller SaaS companies require speed, adaptability, and influence without authority.06:00 — PLG, Sales-Led, and the Middle Ground How Intercom balances self-serve PLG customers with enterprise sales—and why a “Sales Assist” motion has become critical.08:30 — Redesigning Routing, Guardrails & ACV Growth How simplifying and separating motions helped Intercom lift sales-led logos and drive higher ACVs.10:45 — AI as an Amplifier, Not a Replacement Why AI frees reps from low-value tasks (QBR decks, data cleanup) and makes room for more human selling.13:20 — The Real Risk: Overvaluing Human Busywork Why reps aren't losing points for doing things manually—and why AI should elevate the conversation, not eliminate the human.15:00 — The Future of RevOps Careers Why RevOps is shifting from specialists to generalists who use AI, understand systems, and act like business owners.18:00 — What RevOps Leaders Should Learn Next Tyler's advice to aspiring operators—how to become more valuable by being curious across the entire GTM ecosystem.19:30 — Closing Thoughts + Intercom Hiring Tyler encourages RevOps pros to embrace the field and shape the future; Justin wraps the conversation.

David had a consumer app with 50,000 users and viral traction—and he shut it down. The retention metrics weren't as good as what he'd seen at Snapchat.That difficult decision cleared the path for Juicebox, AI for recruiting that grew to $10M ARR in 2 years. In this episode, David reveals how he pivoted to AI recruiting, generated millions of views with a simple LinkedIn demo, and ground through months of brutal churn to unlock 10x growth. If you want to know how to execute a flawless PLG strategy, run a hyper-lean team, and secure a $30M Series A from Sequoia, this is the blueprint.Why You Should ListenWhy you should kill some products even if they're going viral.How to launch a B2B product with zero budget.The "manual" playbook for fixing high churn.Why you should keep your team under 25 people even after raising millions.How to land an inbound term sheet from Sequoia.Keywordsstartup podcast, startup podcast for founders, product market fit, finding pmf, PLG strategy, viral marketing, pivoting, AI recruiting, Series A fundraising, Sequoia Capital00:00:00 Intro00:03:15 Learning Growth at Snap00:13:01 Killing a Viral App with 50k Users00:20:34 The 90 Second LinkedIn Video That Launched Juicebox00:26:21 Fixing High Churn with Manual Work00:33:04 Why B2B Products Only Need to be Marginally Better00:42:27 Scaling to $10M ARR with Founder Led Sales00:47:40 Raising a $30M Series A from Sequoia00:50:12 The Moment of True Product Market FitSend me a message to let me know what you think!

首屆「企業海洋永續貢獻獎」表揚海洋守護者【企業挺海洋】為了讓更多企業力量，導入海洋保育，開啟海洋ESG之路，海委會首度設立企業海洋永續貢獻獎，表揚海洋保育走在最前線的企業海洋委員會官方臉書： https://fstry.pse.is/8ecdmf ------以上為海洋委員會廣告------ —— 以上為 Firstory Podcast 廣告 ——

Jennifer went from VC to founder and immediately broke every rule in the book. When she pivoted Scribe from an automation tool to a documentation platform, her investors told her she had just killed the company. She ignored them. Instead of polishing her product, she launched a "janky" offline MVP on Product Hunt to test for real market pull. Scribe is now used by 95% of the Fortune 500. In this episode, Jennifer reveals the brutal truth about ignoring "smart" money, why you should run PLG and Enterprise sales simultaneously from Day 1, and how to tell the difference between pushing a boulder up a hill and chasing one down it.Why You Should ListenWhy you sometimes need to ignore your investors to save your startup.The "Boulder Test": The definitive gut check for knowing if you have true Product-Market Fit.How to validate a massive opportunity with zero marketing budget.Why the conventional wisdom about choosing between PLG and Enterprise Sales is wrong.How to turn executive hiring interviews into free mentorship sessions.Keywordsstartup podcast, startup podcast for founders, product market fit, PLG strategies, MVP testing, enterprise sales, go to market strategy, early stage growth, finding pmf, founder stories00:00:00 Intro 00:02:21 1,200 Customer Interviews as a VC 00:22:07 How to Hire for Excellence 00:30:18 The Pivot from Automation to Documentation 00:39:17 Launching a "Janky" MVP on Product Hunt 00:49:09 The Boulder Test for Product-Market Fit 00:52:50 Doing PLG and Enterprise Sales Simultaneously 01:03:12 Ignoring Investors to Save the CompanySend me a message to let me know what you think!

How do Product-Led Growth (PLG) and Sales-Led Growth (SLG) actually work together…instead of competing against each other? In this Marketingland 2025 session, ClickUp's COO Gaurav Agarwal and Global VP of Marketing Kyle Coleman break down why the “PLG vs. SLG” debate is a false dichotomy, and how the most successful companies blend both to drive real revenue impact. From navigating budget decisions to building demand, delivering intuitive product experiences, and integrating AI in ways that actually help (instead of over-promising), they dig into the mechanics of modern growth engines. And, should incremental ROI really be your real north star? If you're building, optimizing, or scaling a modern GTM engine, this conversation is for YOU.  Optimizely helps thousands of brands create, personalize, and optimize exceptional digital experiences. See how Optimizely Opal, our AI agent orchestration platform, automates real marketing work and helps teams scale their impact at https://www.optimizely.com/ai/?utm_campaign=PS-GL-11-2025-MARKETING-MILLENNIALS-PODCAST&utm_medium=cpc&utm_source=marketingmillennials&utm_content=opal-agent-orchestration Follow Gaurav: LinkedIn: https://www.linkedin.com/in/gauravragarwal/ Follow Kyle: LinkedIn: https://www.linkedin.com/in/kyletcoleman/ Sign up for The Marketing Millennials newsletter: https://themarketingmillennials.com/ Daniel is a Workweek friend, working to produce amazing podcasts. To find out more, visit: https://workweek.com/

A growing trend is emerging where a Health Savings Account (HSA) is treated not as spending money, but instead as a "Super IRA" for retirement. Could this be the right call for you?Today's Stocks & Topics: Vertiv Holdings Co (VRT), Marker Wrap, Platinum Group Metals Ltd. (PLG), “The "6-Figure HSA" Retirement Strategy”, Liquidity, Leidos Holdings, Inc. (LDOS), The Auto Industry, Emerging Markets Bonds.Our Sponsors:* Check out Incogni: https://incogni.com/investtalk* Check out Invest529: https://www.invest529.com* Check out NordProtect: https://nordprotect.com/investalk* Check out Progressive: https://www.progressive.com* Check out Quince: https://quince.com/INVEST* Check out TruDiagnostic and use my code INVEST for a great deal: https://www.trudiagnostic.comAdvertising Inquiries: https://redcircle.com/brands

In this special live episode from SaaS Summit Benelux in Amsterdam, Joran sits down with Roelof Otten, founder of SaaSmeister, to explore How PLG Will Change in 2026: AI Agents, Onboarding & Hybrid GTM. Together, they break down the biggest shifts coming to B2B SaaS go-to-market—from the rise of hybrid motions and the evolution of sales roles to the transformative impact of AI-powered demos, agents, and conversational interfaces.Roelof shares actionable, stage-specific insights for founders at every level. You'll hear why PLG is becoming a company-wide strategy instead of a product feature, how onboarding is expanding beyond the UI, why freemium is harder for AI-native products, and what it really takes to build data tracking that supports growth instead of slowing it down.Whether you're moving from sales-led to product-led, building a hybrid GTM, or preparing your SaaS product for an AI-first future, this episode offers a clear roadmap for navigating the changes ahead and meeting buyers where they want to be in 2026.Tune in to learn how to implement PLG effectively, empower your sales team in a consultative model, integrate AI responsibly, and build growth loops that compound over time.Key Timecodes(0:00) – B2B SaaS, PLG, AI onboarding, AI demos, product-qualified pipeline, GTM 2026, SaaS Summit(0:52) – B2B SaaS podcast(0:58) – Roelof Otten, SaaSmeister, PLG(1:07) – GTM 2026, PLG trends(1:42) – Hybrid GTM, PLG, sales-led(2:36) – AI GTM, AI agents, AI demos(3:12) – Interactive demos, AI sales assistant(3:50) – Buyer enablement, AI demo(4:20) – In-product AI, trial support(4:36) – PLG transformation, sales alignment(5:21) – Consultative sales, upsell, PQLs(5:43) – PLG funnel, activation, expansion(6:00) – Conversational UI, AI UX(6:52) – UX transition(7:25) – AI platform, data layer, models(7:37) – MCP, AI integrations, ChatGPT, Claude(8:10) – AI privacy, security, compliance(8:46) – Build vs buy AI, LLMs(9:22) – PLG first, SaaS trial(9:38) – Reditus, SaaS affiliate(10:22) – AI costs, freemium(10:35) – Freemium strategy, CAC, churn(11:39) – Referrals, partnerships, affiliate growth(12:33) – In-app referrals, incentives(13:06) – Onboarding, nurture, reactivation(13:57) – Signup friction, JTBD, ICP(14:57) – Personalized onboarding(15:14) – Founder-led sales, JTBD, messaging(15:45) – ICP focus, activation metrics(16:39) – Product analytics, event tracking(17:01) – Roelof Otten, SaaSmeister(17:15) – Podcast outro, sponsor, Reditus

In episode #333, Ben answers a foundational SaaS metrics question: Should expansion revenue be included in your Lifetime Value (LTV) calculation? Ben walks through the correct LTV formula and highlights how misalignment between LTV and CAC can distort your LTV:CAC ratio. He also covers when expansion should be included. The episode provides a practical framework for SaaS founders, CFOs, and operators to ensure they calculate LTV accurately, compare it properly to CAC, and model unit economics using consistent, reliable inputs. Key Topics Covered The correct LTV formula using average new-customer MRR × subscription gross margin Why the churn input should align with dollar-based metrics using 1 – Gross Revenue Retention (GRR) Why expansion revenue is deliberately excluded from LTV in most SaaS models How including expansion artificially inflates the LTV:CAC ratio The cost mismatch between acquiring new customers (CAC) and generating expansion revenue When PLG motions justify including limited, time-bound expansion revenue in LTV How organic upgrades differ from sales-assisted expansion How SaaS+ businesses must adjust their LTV formula to account for usage revenue The role of gross margin in determining true unit economics The importance of aligning metric definitions when evaluating customer profitability Why This Matters This episode is essential for: SaaS founders calculating LTV for budgeting, pricing, and forecasting CFOs, controllers, and FP&A leaders managing unit economics and CAC payback Finance teams modelling customer profitability and revenue expansion Operators working in PLG environments assessing organic expansion patterns Investors reviewing LTV:CAC ratios in diligence and portfolio monitoring Anyone building SaaS Plus (subscription + usage) revenue models Resources Mentioned Ben's deep dive on SaaS+ LTV: https://www.thesaascfo.com/how-to-calculate-ltv-with-variable-revenue/ SaaS Metrics course: https://www.thesaasacademy.com/the-saas-metrics-foundation

In this episode of Run the Numbers, CJ sits down with Greg Henry, CFO of 1Password and one of the most commercially minded finance leaders in tech, to break down why he left the public-company grind at Couchbase for a PLG-driven security business and what he's relearning in the private sphere. Greg explains how forecasting changes when the product does the selling, how to think about comp and pricing in a usage-led world, and the early tells that a model is quietly over- or under-performing. He shares why CFOs should meet far more customers than they do, how finance can drive revenue without stepping on sales, and what it actually takes for a company to plan with clarity instead of reacting. Greg also recounts the near-derailing of the Couchbase IPO, reflects on the “back nine” of his career, and offers grounded advice for aspiring first-time CFOs.—SPONSORS:RightRev automates the revenue recognition process from end to end, gives you real-time insights, and ensures ASC 606 / IFRS 15 compliance—all while closing books faster. For RevRec that auditors actually trust, visit https://www.rightrev.com and schedule a demo.Tipalti automates the entire payables process—from onboarding suppliers to executing global payouts—helping finance teams save time, eliminate costly errors, and scale confidently across 200+ countries and 120 currencies. More than 5,000 businesses already trust Tipalti to manage payments with built-in security and tax compliance. Visit https://www.tipalti.com/runthenumbers to learn more.Aleph automates 90% of manual, error-prone busywork, so you can focus on the strategic work you were hired to do. Minimize busywork and maximize impact with the power of a web app, the flexibility of spreadsheets, and the magic of AI. Get a personalised demo at https://www.getaleph.com/runFidelity Private Shares is the all-in-one equity management platform that keeps your cap table clean, your data room organized, and your equity story clear—so you never risk losing a fundraising round over messy records. Schedule a demo at https://www.fidelityprivateshares.com and mention Mostly Metrics to get 20% off.Metronome is real-time billing built for modern software companies. Metronome turns raw usage events into accurate invoices, gives customers bills they actually understand, and keeps finance, product, and engineering perfectly in sync. That's why category-defining companies like OpenAI and Anthropic trust Metronome to power usage-based pricing and enterprise contracts at scale. Focus on your product — not your billing. Learn more and get started at https://www.metronome.comMercury is business banking built for builders, giving founders and finance pros a financial stack that actually works together. From sending wires to tracking balances and approving payments, Mercury makes it simple to scale without friction. Join the 200,000+ entrepreneurs who trust Mercury and apply online in minutes at https://www.mercury.com—LINKS:Greg on LinkedIn: https://www.linkedin.com/in/greghenry23/1Password: https://1password.com/CJ on LinkedIn: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—RELATED EPISODES:Behind the Earnings Calls: Couchbase CFO Greg Henry on Consumption Models & Analyst Relationshttps://youtu.be/o_pDfz5a-Hw—TIMESTAMPS:00:00:00 Preview and Intro00:02:57 Sponsors – RightRev | Tipalti | Aleph00:07:03 Back in the Private Sphere: Why Greg Joined 1Password00:07:49 Greg's Four-Part Framework for a Great Role00:10:12 Thinking About the “Back Nine” & Legacy00:13:16 Transitioning to PLG & SLG at 1Password00:15:12 Blending PLG Efficiency with Enterprise Sales00:17:12 Sponsors – Fidelity Private Shares | Metronome | Mercury00:20:03 B2C vs. B2B ARPU Contrast00:22:41 Forecasting in PLG vs. Sales-Led Models00:24:18 Building Toward Chunky Enterprise Upside00:25:39 Comp Plans: Complexity, Pitfalls & the Alexander Group00:27:35 Keep Comp Plans Simple & Focused on ARR00:29:10 Why Mid-Year Comp Plan Changes Are Dangerous00:31:04 Governance & Guardrails for SPIFFs00:33:19 Using the CFO Network to Drive Revenue00:34:52 Why CFOs Must Meet Customers Directly00:36:19 Wallet Share & Being a Buyer AND a Seller00:38:08 Why He Avoids 3-Year+ Commitments00:40:20 How Much Discount Is a “Year” Worth?00:42:31 Greg's Structured Annual Planning Framework00:43:50 3–5% Upside/Downside Menu00:44:57 Comp Plans Must Go Out Early00:47:23 January Compensation & System Cutover Challenges00:48:31 Why Roadmap Alignment Must Kick Off Planning00:50:21 Sustain / Differentiate / Durable Growth / World-Class Teams Framework00:52:29 Couchbase IPO Almost Going Sideways00:54:59 How to Actually Become a CFO01:00:11 Legacy Greg Wants to Leave at 1Password#RunTheNumbersPodcast #CFOInsights #SaaSLeadership #PLGvsSLG #FinanceStrategy This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit cjgustafson.substack.com

Jeanne DeWitt Grosser built world-class GTM teams at Stripe, Google, and, most recently, Vercel, where she serves as COO and oversees marketing, sales, customer success, revenue operations, and field engineering. She transformed Stripe's early sales organization from the ground up and advises founders on GTM strategy.We discuss:1. Why GTM is becoming more strategically important in the AI era2. The rise of the GTM engineer3. A primer on segmentation4. How to build a sales org that engineers and product teams respect5. The changing calculus of build vs. buy for go-to-market tools in the AI era6. Why most customers buy to avoid pain rather than to gain upside—Brought to you by:Datadog—Now home to Eppo, the leading experimentation and feature flagging platform: https://www.datadoghq.com/lennyLovable—Build apps by simply chatting with AI: https://lovable.dev/Stripe—Helping companies of all sizes grow revenue: https://stripe.com/—Transcript: https://www.lennysnewsletter.com/p/what-the-best-gtm-teams-do-differently—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/179503137/my-biggest-takeaways-from-this-conversation—Where to find Jeanne DeWitt Grosser:• X: https://x.com/jdewitt29• LinkedIn: https://www.linkedin.com/in/jeannedewitt—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Jeanne DeWitt Grosser(05:26) Defining go-to-market(08:43) The evolution of go-to-market roles(11:23) The rise of the go-to-market engineer(14:21) Implementing AI in sales processes(15:28) Optimizing sales with AI agents(23:47) Defining sales roles: SDRs and AEs(26:04) When to hire a GTM engineer(29:04) Hiring and scaling sales teams(30:50) The ideal go-to-market engineer(34:24) The go-to-market tool stack(40:39) Advice on building a great sales bot(44:34) Vercel's unfair advantage(46:37) Go-to-market as a product(47:04) Innovative sales tactics at Stripe(52:38) Effective go-to-market tactics(01:00:37) Segmentation strategies(01:09:31) Building a sales org that engineers love(01:14:00) Thoughts on PLG and pricing(01:16:44) Sales compensation and hiring(01:19:24) Lightning round and final thoughts—Referenced:• Vercel: https://vercel.com• Stripe: https://stripe.com• Rosalind Franklin: https://en.wikipedia.org/wiki/Rosalind_Franklin• Ben Salzman on LinkedIn: https://www.linkedin.com/in/bensalzman• SDK: https://ai-sdk.dev/docs/introduction• Gong: https://www.gong.io• Lyft: https://www.lyft.com• Instacart: https://www.instacart.com• DoorDash: https://www.instacart.com• “Sell the alpha, not the feature”: The enterprise sales playbook for $1M to $10M ARR | Jen Abel: https://www.lennysnewsletter.com/p/the-enterprise-sales-playbook-1m-to-10m-arr• A step-by-step guide to crafting a sales pitch that wins | April Dunford (author of Obviously Awesome and Sales Pitch): https://www.lennysnewsletter.com/p/a-step-by-step-guide-to-crafting• Kate Jensen on LinkedIn: https://www.linkedin.com/in/kateearle• Lessons from scaling Stripe | Claire Hughes Johnson (former COO of Stripe): https://www.lennysnewsletter.com/p/lessons-from-scaling-stripe-tactics• Atlassian: atlassian.com—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

John McMahon is widely regarded as one of the greatest enterprise-software sales leaders of all time. He's the only person to have served as Chief Revenue Officer at five public software companies: PTC, GeoTel, Ariba, BladeLogic and BMC Software. He helped scale BladeLogic from a startup into a public company — ultimately leading to its ~$880M sale to BMC — and drove GeoTel into a multi-billion dollar acquisition. Today he sits on the boards of top names such as Snowflake and MongoDB, while also mentoring and influencing a who's-who of modern SaaS sales leaders. AGENDA: 03:33 The Art and Science of Sales: Insights from a Veteran 04:29 Adapting Sales Strategies in the Age of AI and PLG 07:47 The Ultimate Framework to do Deal Qualification 14:13 How to Drive Urgency and Maintain Sales Process 20:06 How to Hire the Best Sales Reps 25:11 Step-by-Step Guide to Training Sales Reps 45:22 The Mindset of the Best Sales Reps 54:55 Single Most Important Skill to Win in Sales  

In this episode of the Grow Your B2B SaaS podcast, recorded live at the SaaS Summit Benelux in Amsterdam, host Joran sat down with Richard Schenzel from AtScale. Richard and his team act as operating partners for B2B SaaS companies, helping them build, structure, and scale sales operations with a strong focus on improving performance.The conversation centered on how go-to-market (GTM) strategy is changing in 2026. From the rise of blended motions and the evolving role of ACV across PLG and sales-led setups, to how AI will reshape the entire funnel—Richard shared a pragmatic view into what will separate the SaaS companies that scale successfully from those that fall behind. He also explained why now is the time for deep introspection, how to audit your GTM machine, and why roles like SDR/BDR must be rethought in an AI-driven world.Key Timestamps(0:00) – The 2026 B2B SaaS GTM Shakeup: AI, PLG vs Sales-Led & ACV Truths(0:00) – Meet Richard Schenzel: The B2B SaaS Sales Ops Performance Architect(0:01) – GTM in 2026: AI-Driven Plays, Blended Motions & ACV Strategy(0:02) – Why 2026 Demands a Full GTM Audit: Blended Motions + ACV Reality(0:02) – PLG vs Sales-Led: How ACV Decides Your Entire GTM Motion(0:03) – The New Era of Efficient SaaS Growth: AI, Margin & Sales Efficiency(0:04) – Bow-Tie Model Power: Where AI Creates Massive GTM ROI(0:04) – Automate Your Sales Engine: AI Intent, Scoring, SDR Workflows & CS(0:05) – The 2026 SDR: Human Connection Beats Sequencing Automation(0:06) – 2026 Headcount Reset: New SDR/BDR, AE & RevOps Roles(0:07) – Train the Machines: Why People Still Win in AI-Driven GTM(0:07) – Ad Break: Reditus – The AI Affiliate Engine for B2B SaaS(0:08) – What Will Make SaaS Winners in 2026: Adapt Fast or Fall Behind(0:09) – The 2026 Mindset Shift: Stop Fixing Yesterday, Pivot Faster(0:09) – The GTM Implementation Blueprint: Mission → Strategy → Tech → People(0:11) – The “If It Ain't Broke” GTM Trap: How to Spot Hidden Failures(0:11) – The Ultimate SaaS GTM Audit: 1–5 Scoring Across Every Function(0:13) – Bow-Tie Data Mastery: Fix GTM Bottlenecks Faster With AI(0:14) – From 0 → 10K MRR: ICP, Feedback Loops & Avoiding Enterprise Traps(0:16) – Scaling to $10M ARR: ICP Alignment, Feature Pruning & $100M Roadmap(0:17) – Evolving Your ICP: Stay True to Your Customer & Your Mission(0:17) – Connect With Richard Schenzel on LinkedIn

In this episode, Carlos Gonzalez de Villaumbrosia interviews Elena Verna, Head of Growth at Lovable—the fastest-growing AI startup to ever surpass $100M in ARR, hitting the milestone in just eight months. With a proven track record leading growth at Miro, Amplitude, Superhuman, and Dropbox, Elena brings unparalleled expertise in driving sustainable, product-led growth across both hyper-growth and turnaround environments.Elena shares how building in the fast-moving “vibe coding” category requires a radical shift in how we define product-market fit, structure growth teams, and measure success. From product-led monetization loops to redefining brand as a product responsibility, Elena outlines a bold vision for what growth looks like in the age of AI-native products.What you'll learn:How Lovable ships at record speed, with daily product updates and a 3-tier launch model.How AI-native products redefine activation, retention, and monetization.Why product teams must now own brand experience—not just featuresHow Elena designs feedback, education, and referral loops that turn users into growth engines.The evolving role of activation, retention, and monetization in AI-native PLG.Key Takeaways

In this episode, Prashant Sridharan, Head of Product Marketing at Supabase, joins Louise Liu to share insights on building trust and winning with developer marketing—from feature‑first messaging and PLG strategies to aligning product, DevRel, and marketing for go‑to‑market success. Prashant also discusses why transparency beats hype and how AI is reshaping the way product marketers work.For more information on AI and product marketing workflows, read Prashant Sridharan's article “How I Use Claude To Build Launch Plans From Chaos“.All rights reserved. © Product Marketing Hive.

We weigh the promise and peril of the AI agent economy, pressing into how overprovisioned non-human identities, shadow AI, and SaaS integrations expand risk while go-to-market teams push for speed. A CMO and a CFO align on governance-first pilots, PLG trials, buyer groups, and the adoption metrics that sustain value beyond the sale.• AI adoption surge matched by adversary AI• Overprovisioned agents and shadow AI in SaaS• Governance thresholds before budget scale• PLG trials, sandbox, and POV sequencing• Visualization to reach the aha moment• Buying groups, ICP, and economic buyer alignment• Post‑sales usage, QBRs, NRR and churn signals• Zero trust limits and non-human identities• Breach disclosures as industry standards• Co-sourcing MSSP with in-house oversightSecurity isn't slowing AI down; it's the unlock that makes enterprise AI valuable. We dive into the AI agent economy with a CMO and a CFO who meet in the messy middle. The result is a practical blueprint for moving from hype to governed production without killing momentum.We start by mapping where controls fail: once users pass SSO and MFA, agents often operate beyond traditional identity and network guardrails. That's how prompts pull sensitive deal data across Salesforce and Gmail, and how third‑party API links expand the attack surface. From there, we lay out an adoption sequence that balances trust and speed. Think frictionless free trials and sandboxes that reach an immediate “aha” visualization of shadow AI and permissions, then progress to a scoped POV inside the customer's environment with clear policies and measurable outcomes. Along the way, we detail the buying group: economic buyers who sign and practitioners who live in the UI, plus the finance lens that sets pilot capital, milestones, and time-to-value expectations.We also challenge sacred cows. Zero trust is essential, but attackers increasingly log in with valid credentials and pivot through integrations, so verification must include non-human identities and agent-to-agent controls. Breach disclosures, far from being a greater threat than breaches, are foundational to ecosystem trust and faster remediation. And while MSSPs add critical scale, co-sourcing—retaining strategic oversight and compliance ownership—keeps accountability inside. If you care about ICP, PLG motions, PQLs, NRR, or simply reducing AI risk while driving growth, this conversation turns buzzwords into a playbook you can run.Vamshi Sriperumbudur: https://www.linkedin.com/in/vamsriVamshi Sriperumbudur was recently the CMO for Prisma SASE at Palo Alto Networks, where he led a complete marketing transformation, driving an impact of $1.3 billion in ARR in 2025 (up 35%) and establishing it as the platform leader.  Chithra Rajagopalan - https://www.linkedin.com/in/chithra-rajagopalan-mba/Chithra Rajagopalan is the Head of Finance at Obsidian Security and former Head of Finance at Glue, and she is recognized as a leader in scaling businesses. Chithra is also an Investor and Advisory Board member for Campfire, serving as the President and Treasurer of Blossom Projects.Website: https://www.position2.com/podcast/Rajiv Parikh: https://www.linkedin.com/in/rajivparikh/Sandeep Parikh: https://www.instagram.com/sandeepparikh/Email us with any feedback for the show: sparkofages.podcast@position2.com

"We were adding customers, losing customers, adding customers, losing customers. We were stalling."Gaurav Bhattacharya had $2.5M ARR and 50 customers. On paper, things looked fine. But momentum wasn't there. Instead of pushing harder, he split his company in two – and nine months later, Jeeva AI had 10,000 users and 300 enterprise customers.In today's episode, I'm joined by Gaurav Bhattacharya, Founder and CEO of Jeeva AI. After successfully exiting his first healthcare AI startup, Gaurav spent five years building a data intelligence platform to $2.5M ARR before recognising it would never become the great business he wanted. His solution? Split the team in two – one to keep the lights on, one to prove product-market fit for a completely new idea. The result was Jeeva AI, a sales intelligence tool that exploded to 10,000 users in nine months.Together we unpack:How to decide when a "good" business will never become greatThe two-team strategy: keeping lights on whilst proving new product-market fitWhy pattern recognition is the most underrated founder skillHow to pivot without killing team morale or burning investor relationshipsThe shift from enterprise sales to PLG (and why it required completely different muscles)

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不用如果，真的發生了－這集節目錄音完後幾個小時，新北國王官宣Thank You總教練John Patrick。我們還不確定國王的下一步會怎麼樣，但節目瞬間因此剪掉15分鐘國王段落，小人物贊助會員們可以在群組聽到這段幫國王想東想西、但沒想到會出這招的討論。 回到沒有被剪掉的上週球賽回顧，夢想家跨周三連勝、雲豹開季五連勝，兩支球隊分別做對了哪些事情？情況有些不妙的特攻又有哪些問題？先輸獵鷹超過30分、再贏洋基超過30分的勇士，是什麼造成這麼大的上下限落差？而隊史首戰打了兩節好球的洋基工程，除了投到飽、但投不進的葉惟捷外，小枚的現場回報還看到什麼值得一提的球賽內容？ 話題轉到上集未完待續的【台籃2020年以來的What If?】，這集有不少賣情懷的題目，且聽Roy與Kong帶領小人物聽眾們回想過去的那些時刻：如果裕隆恐龍在PLG元年就加入競爭會怎麼樣？如果揚科維奇(Stefan Jankovic)沒有受傷會怎麼樣？如果攻城獅贏得PLG第二季總冠軍會怎麼樣？如果林書豪跟Dwight Howard一起加入雲豹會怎麼樣？ 還沒完，如果職籃沒有外籍生、洋將只限2名且沒有薪資上限，會怎麼樣？最後，如果李多慧加盟新北國王，會怎麼樣？！謝謝小人物聽眾們提案的What If，如果覺得這樣的討論有意思，歡迎留言或發訊息許願你想聽的討論題目。 此外，世界盃資格賽的中華隊大名單、職籃/籃協/球員之間的難解習題又再次搬上檯面，三位主持人的看法如何？下一次的窗口賽時又要再演一次嗎？跨聯盟、跨時空的討論內容，都在這周的霹靂鍵盤！ 成為

Recorded live at the SaaS Summit in Amsterdam, this episode of the Grow Your B2B SaaS Podcast dives into a focused conversation with Mark Appel, Chief Marketing Officer at Sendcloud. As one of Europe's fastest-growing B2B SaaS platforms, Sendcloud operates across eight European markets, generating close to 60 million in annual recurring revenue with a team of about 450. In this discussion, Mark reveals how Sendcloud approaches international scaling, builds cross-functional go-to-market alignment, identifies and prioritizes compounding growth loops, and integrates AI agents across marketing and GTM operations. He also reflects on what he would do differently if he could rebuild a SaaS go-to-market motion from scratch, what early-stage founders should focus on to reach their first 10K MRR, and how to evolve from feature-led messaging to a brand-led narrative on the path to 10 million ARR.Key Timecodes(00:00) – Intro: Scaling B2B SaaS, Growth Loops & AI GTM 2026(01:10) – Guest Intro: Mark Appel, CMO of Sendcloud(01:39) – Company Snapshot: €60M ARR, 450 Employees, 8 Markets(02:20) – 2026 Focus: International SaaS Scaling Strategy(02:36) – Cross-Functional GTM: Marketing, Sales & CS Alignment(03:26) – GTM Motion: Hybrid PLG + SLG in B2B SaaS(03:39) – Finding Growth Loops Across 8 Countries(04:34) – Working Growth Loops: Demand to Revenue Flywheel(05:15) – Platform Network Effects: Merchants, Carriers & Partners(06:13) – Built-in Virality: Tracking Emails as Growth Channel(06:51) – Ad Break: Reditus Affiliate & Referral Growth(07:35) – AI for GTM 2026: AI SDRs & Marketing Agents(08:50) – AI Implementation: Challenges & Early Adoption(09:55) – Biggest GTM Shift: Retention, Expansion & Automation(10:22) – PLG in Product: Driving Adoption via In-App Prompts(11:40) – Rebuilding GTM: Cross-Functional Pods by Segment(12:41) – Segmentation: Startup to Enterprise Strategy(13:21) – Future Growth Loops: Consumer Visibility for SaaS(14:41) – 0 to 10K MRR: In-Market Demand & Search Campaigns(15:34) – 10K MRR to €10M ARR: Brand-Led SaaS Growth(16:03) – Connect with Mark Appel: LinkedIn & Email(16:18) – Outro & CTA: Subscribe, Sponsor & Learn via Reditus

In this segment, Dan Fougere breaks down how Product-Led Growth (PLG) fundamentally changes the traditional sales playbook. Drawing from his experience at Datadog and advising startups, he explains that PLG companies must rethink how they engage prospects—especially when users begin interacting with the product before any formal sales conversation.Dan emphasizes the importance of usage signals—such as downloading the product or reading documentation—as triggers for sales outreach. He also discusses the risk of force-fitting old playbooks into new environments and advocates for a first principles approach: understanding how users buy, how they use the product, and what commercial conversations are relevant at each stage.On this Veterans Day Week, check out one of the charities that's important to Dan.https://www.nplboutdoors.org/The No Person Left Behind Outdoors charity works with combat veterans to provide outdoor experiences to foster camaraderie, promote wellness, and celebrate resilience. They do everything from hiking trips to Kilimanjaro to turkey hunts. Support their important work.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Chad Peets is one of the greatest sales leaders and recruiters of the last 25 years. From 2018 to 2023, Chad was a Managing Director at Sutter Hill Ventures. Chad has worked with the world's best CEOs and CROs to build world-class go-to-market organizations. Chad is currently a member of the Board of Directors for Lacework and Luminary Cloud and on the boards of Clumio and Sigma Computing. He previously served as a board member for Astronomer, Transposit, and others. He was an early-stage investor at Snowflake, Sigma, Observe, Lacework, and Clumio. In Today's Discussion with Chad Peet's We Discuss: 1. You Need a CRO Pre-Product: Why does Chad believe that SaaS companies need a CRO pre-product? Should the founder not be the right person to create the sales playbook? What should the founder look for in their first CRO hire? Does any great CRO really want to go back to an early startup and do it again? 2. What Everyone Gets Wrong in Building Sales Teams: Why are most sales reps not performing? How long does it take for sales teams to ramp? How does this change with PLG and enterprise? What are the benchmarks of good vs great for average sales reps? How do founders and VCs most often hurt their sales teams and performance? 3. How to Build a Hiring Machine: What are the single biggest mistakes people make when hiring sales reps and teams? Are sales people money motivated? How to create comp plans that incentivise and align? Why does Chad believe that any sales rep that does not want to be in the office, is not putting their career and development first? Why is it harder than ever to recruit great sales leaders today? 4. Lessons from Scaling Sales at Snowflake: What are the single biggest lessons of what worked from scaling Snowflake's sales team? What did not work? What would he do differently with the team again? What did Snowflake teach Chad about success and culture and how they interplay together?