Podcasts about nrr

Why Customer Success Can't Be Automated (And What AI Can Actually Do) In this special year-end episode of the FutureCraft GTM Podcast, hosts Ken Roden and Erin Mills sit down with Amanda Berger, Chief Customer Officer at Employ, to tackle the biggest question facing CS leaders in December 2026: What can AI actually do in customer success, and where do humans remain irreplaceable? Amanda brings 20+ years at the intersection of data and human decision-making—from AI-powered e-commerce personalization at Rich Relevance, to human-led security at HackerOne, to now implementing AI companions for recruiters. Her journey is a masterclass in understanding where the machine ends and the human begins. This conversation delivers hard truths about metrics, change management, and the future of CS roles—plus Amanda's controversial take that "if you don't use AI, AI will take your job." Unpacking the Human vs. Machine Balance in Customer Success Amanda returns with a reality check: AI doesn't understand business outcomes or motivation—humans do. She reveals how her career evolved from philosophy major studying "man versus machine" to implementing AI across radically different contexts (e-commerce, security, recruiting), giving her unique pattern recognition about what AI can genuinely do versus where it consistently fails. The Lagging Indicator Problem: Why NRR, churn, and NPS tell you what already happened (6 months ago) instead of what you can influence. Amanda makes the case for verified outcomes, leading indicators, and real-time CSAT at decision points. The 70% Rule for CS in Sales: Why most churn starts during implementation, not at renewal—and exactly when to bring CS into the deal to prevent it (technical win stage/vendor of choice). Segmentation ≠ Personalization: The jumpsuit story that proves AI is still just sophisticated bucketing, even with all the advances in 2026. True personalization requires understanding context, motivation, and individual goals. The Delegation Framework: Don't ask "what can AI do?" Ask "what parts of my job do I hate?" Delegate the tedious (formatting reports, repetitive emails, data analysis) so humans can focus on what makes them irreplaceable. Timestamps 00:00 - Introduction and AI Updates from Ken & Erin 01:28 - Welcoming Amanda Berger: From Philosophy to Customer Success 03:58 - The Man vs. Machine Question: Where AI Ends and Humans Begin 06:30 - The Jumpsuit Story: Why AI Personalization Is Still Segmentation 09:06 - Why NRR Is a Lagging Indicator (And What to Measure Instead) 12:20 - CSAT as the Most Underrated CS Metric 17:34 - The $4M Vulnerability: House Security Analogy for Attribution 21:15 - Bringing CS Into Sales at 70% Probability (The Non-Negotiable) 25:31 - Getting Customers to Actually Tell You Their Goals 28:21 - AI Companions at Employ: The Recruiting Reality Check 32:50 - The Delegation Mindset: What Parts of Your Job Do You Hate? 36:40 - Making the Case for Humans in an AI-First World 40:15 - The Framework: When to Use Digital vs. Human Touch 43:10 - The 8-Hour Workflow Reduced to 30 Minutes (Real ROI Examples) 45:30 - By 2027: The Hardest CX Role to Hire 47:49 - Lightning Round: Summarization, Implementation, Data Themes 51:09 - Wrap-Up and Key Takeaways Edited Transcript Introduction: Where Does the Machine End and Where Does the Human Begin? Erin Mills: Your career reads like a roadmap of enterprise AI evolution—from AI-powered e-commerce personalization at Rich Relevance, to human-powered collective intelligence at HackerOne, and now augmented recruiting at Employ. This doesn't feel random—it feels intentional. How has this journey shaped your philosophy on where AI belongs in customer experience? Amanda Berger: It goes back even further than that. I started my career in the late '90s in what was first called decision support, then business intelligence. All of this is really just data and how data helps humans make decisions. What's evolved through my career is how quickly we can access data and how spoon-fed those decisions are. Back then, you had to drill around looking for a needle in a haystack. Now, does that needle just pop out at you so you can make decisions based on it? I got bit by the data bug early on, realizing that information is abundant—and it becomes more abundant as the years go on. The way we access that information is the difference between making good business decisions and poor business decisions. In customer success, you realize it's really just about humans helping humans be successful. That convergence of "where's the data, where's the human" has been central to my career. The Jumpsuit Story: Why AI Personalization Is Still Just Segmentation Ken Roden: Back in 2019, you talked about being excited for AI to become truly personal—not segment-based. Flash forward to December 2026. How close are we to actual personalization? Amanda Berger: I don't think we're that close. I'll give you an example. A friend suggested I ask ChatGPT whether I should buy a jumpsuit. So I sent ChatGPT a picture and my measurements. I'm 5'2". ChatGPT's answer? "If you buy it, you should have it tailored." That's segmentation, not personalization. "You're short, so here's an answer for short people." Back in 2019, I was working on e-commerce personalization. If you searched for "black sweater" and I searched for "black sweater," we'd get different results—men's vs. women's. We called it personalization, but it was really segmentation. Fast forward to now. We have exponentially more data and better models, but we're still segmenting and calling it personalization. AI makes segmentation faster and more accessible, but it's still segmentation. Erin Mills: But did you get the jumpsuit? Amanda Berger: (laughs) No, I did not get the jumpsuit. But maybe I will. The Philosophy Degree That Predicted the Future Erin Mills: You started as a philosophy major taking "man versus machine" courses. What would your college self say? And did philosophy prepare you in ways a business degree wouldn't have? Amanda Berger: I actually love my philosophy degree because it really taught me to critically think about issues like this. I don't think I would have known back then that I was thinking about "where does the machine end and where does the human begin"—and that this was going to have so many applicable decision points throughout my career. What you're really learning in philosophy is logical thought process. If this happens, then this. And that's fundamentally the foundation for AI. "If you're short, you should get your outfit tailored." "If you have a customer with predictive churn indicators, you should contact that customer." It's enabling that logical thinking at scale. The Metrics That Actually Matter: Leading vs. Lagging Indicators Erin Mills: You've called NRR, churn rate, and NPS "lagging indicators." That's going to ruffle boardroom feathers. Make the case—what's broken, and what should we replace it with? Amanda Berger: By the time a customer churns or tells you they're gonna churn, it's too late. The best thing you can do is offer them a crazy discount. And when you're doing that, you've already kind of lost. What CS teams really need to be focused on is delivering value. If you deliver value—we all have so many competing things to do—if a SaaS tool is delivering value, you're probably not going to question it. If there's a question about value, then you start introducing lower price or competitors. And especially in enterprise, customers decide way, way before they tell you whether they're gonna pull the technology out. You usually miss the signs. So you've gotta look at leading indicators. What are the signs? And they're different everywhere I've gone. I've worked for companies where if there's a lot of engagement with support, that's a sign customers really care and are trying to make the technology work—it's a good sign, churn risk is low. Other companies I've worked at, when customers are heavily engaged with support, they're frustrated and it's not working—churn risk is high. You've got to do the work to figure out what those churn indicators are and how they factor into leading indicators: Are they achieving verified outcomes? Are they healthy? Are there early risk warnings? CSAT: The Most Underrated Metric Ken Roden: You're passionate about customer satisfaction as a score because it's granular and actionable. Can you share a time where CSAT drove a change and produced a measurable business result? Amanda Berger: I spent a lot of my career in security. And that's tough for attribution. In e-commerce, attribution is clear: Person saw recommendations, put them in cart, bought them. In hiring, their time-to-fill is faster—pretty clear. But in security, it's less clear. I love this example: We all live in houses, right? None of our houses got broken into last night. You don't go to work saying, "I had such a good night because my house didn't get broken into." You just expect that. And when your house didn't get broken into, you don't know what to attribute that to. Was it the locked doors? Alarm system? Dog? Safe neighborhood? That's true with security in general. You have to really think through attribution. Getting that feedback is really important. In surveys we've done, we've gotten actionable feedback. Somebody was able to detect a vulnerability, and we later realized it could have been tied to something that would have cost $4 million to settle. That's the kind of feedback you don't get without really digging around for it. And once you get that once, you're able to tie attribution to other things. Bringing CS Into the Sales Cycle: The 70% Rule Erin Mills: You're a religious believer in bringing CS into the sales cycle. When exactly do you insert CS, and how do you build trust without killing velocity? Amanda Berger: With bigger customers, I like to bring in somebody from CX when the deal is at the technical win stage or 70% probability—vendor of choice stage. Usually it's for one of two reasons: One: If CX is gonna have to scope and deliver, I really like CX to be involved. You should always be part of deciding what you're gonna be accountable to deliver. And I think so much churn actually starts to happen when an implementation goes south before anyone even gets off the ground. Two: In this world of technology, what really differentiates an experience is humans. A lot of our technology is kind of the same. Competitive differentiation is narrower and narrower. But the approach to the humans and the partnership—that really matters. And that can make the difference during a sales cycle. Sometimes I have to convince the sales team this is true. But typically, once I'm able to do that, they want it. Because it does make a big difference. Technology makes us successful, but humans do too. That's part of that balance between what's the machine and what is the human. The Art of Getting Customers to Articulate Their Goals Ken Roden: One challenge CS teams face is getting customers to articulate their goals. Do customers naturally say what they're looking to achieve, or do you have a process to pull it out? Amanda Berger: One challenge is that what a recruiter's goal is might be really different than what the CFO's goal is. Whose outcome is it? One reason you want to get involved during the sales cycle is because customers tell you what they're looking for then. It's very clear. And nothing frustrates a company more than "I told you that, and now you're asking me again? Why don't you just ask the person selling?" That's infuriating. Now, you always have legacy customers where a new CSM comes in and has to figure it out. Sometimes the person you're asking just wants to do their job more efficiently and can't necessarily tie it back to the bigger picture. That's where the art of triangulation and relationships comes in—asking leading discovery questions to understand: What is the business impact really? But if you can't do that as a CS leader, you probably won't be successful and won't retain customers for the long term. AI as Companion, Not Replacement: The Employ Philosophy Erin Mills: At Employ, you're implementing AI companions for recruiters. How do you think about when humans are irreplaceable versus when AI should step in? Amanda Berger: This is controversial because we're talking about hiring, and hiring is so close to people's hearts. That's why we really think about companions. I earnestly hope there's never a world where AI takes over hiring—that's scary. But AI can help companies and recruiters be more efficient. Job seekers are using AI. Recruiters tell me they're getting 200-500% more applicants than before because people are using AI to apply to multiple jobs quickly or modify their resumes. The only way recruiters can keep up is by using AI to sort through that and figure out best fits. So AI is a tool and a friend to that recruiter. But it can't take over the recruiter. The Delegation Framework: What Do You Hate Doing? Ken Roden: How do you position AI as companion rather than threat? Amanda Berger: There's definitely fear. Some is compliance-based—totally justifiable. There's also people worried about AI taking their jobs. I think if you don't use AI, AI is gonna take your job. If you use AI, it's probably not. I've always been a big fan of delegation. In every aspect of my life: If there's something I don't want to do, how can I delegate it? Professionally, I'm not very good at putting together beautiful PowerPoint presentations. I don't want to do it. But AI can do that for me now. Amazingly well. What I'm really bad at is figuring out bullets and formatting. AI does that. So I think about: What are the things I don't want to do? Usually we don't want to do the things we're not very good at or that are tedious. Use AI to do those things so you can focus on the things you're really good at. Maybe what I'm really good at is thinking strategically about engaging customers or articulating a message. I can think about that, but AI can build that PowerPoint. I don't have to think about "does my font match here?" Take the parts of your job that you don't like—sending the same email over and over, formatting things, thinking about icebreaker ideas—leverage AI for that so you can do those things that make you special and make you stand out. The people who can figure that out and leverage it the right way will be incredibly successful. Making the Case to Keep Humans in CS Ken Roden: Leaders face pressure from boards and investors to adopt AI more—potentially leading to roles being cut. How do you make the case for keeping humans as part of customer success? Amanda Berger: AI doesn't understand business outcomes and motivation. It just doesn't. Humans understand that. The key to relationships and outcomes is that understanding. The humanity is really important. At HackerOne, it was basically a human security company. There are millions of hackers who want to identify vulnerabilities before bad actors get to them. There are tons of layers of technology—AI-driven, huge stacks of security technology. And yet no matter what, there's always vulnerabilities that only a human can detect. You want full-stack security solutions—but you have to have that human solution on top of it, or you miss things. That's true with customer success too. There's great tooling that makes it easier to find that needle in the haystack. But once you find it, what do you do? That's where the magic comes in. That's where a human being needs to get involved. Customer success—it is called customer success because it's about success. It's not called customer retention. We do retain through driving success. AI can point out when a customer might not be successful or when there might be an indication of that. But it can't solve that and guide that customer to what they need to be doing to get outcomes that improve their business. What actually makes success is that human element. Without that, we would just be called customer retention. The Framework: When to Use Digital vs. Human Touch Erin Mills: We'd love to get your framework for AI-powered customer experience. How do you make those numbers real for a skeptical CFO? Amanda Berger: It's hard to talk about customer approach without thinking about customer segmentation. It's very different in enterprise versus a scaled model. I've dealt with a lot of scale in my last couple companies. I believe that the things we do to support that long tail—those digital customers—we need to do for all customers. Because while everybody wants human interaction, they don't always want it. Think about: As a person, where do I want to interact digitally with a machine? If it's a bot, I only want to interact with it until it stops giving me good answers. Then I want to say, "Stop, let me talk to an operator." If I can find a document or video that shows me how to do something quickly rather than talking to a human, it's human nature to want to do that. There are obvious limits. If I can change my flight on my phone app, I'm gonna do that rather than stand at a counter. Come back to thinking: As a human, what's the framework for where I need a human to get involved? Second, it's figuring out: How do I predict what's gonna happen with my customers? What are the right ways of looking and saying "this is a risk area"? Creating that framework. Once you've got that down, it's an evolution of combining: Where does the digital interaction start? Where does it stop? What am I looking for that's going to trigger a human interaction? Being able to figure that out and scale that—that's the thing everybody is trying to unlock. The 8-Hour Workflow Reduced to 30 Minutes Erin Mills: You've mentioned turning some workflows from an 8-hour task to 30 minutes. What roles absorbed the time dividend? What were rescoped? Amanda Berger: The roles with a lot of repetition and repetitive writing. AI is incredible when it comes to repetitive writing and templatization. A lot of times that's more in support or managed services functions. And coding—any role where you're coding, compiling code, or checking code. There's so much efficiency AI has already provided. I think less so on the traditional customer success management role. There's definitely efficiencies, but not that dramatic. Where I've seen it be really dramatic is in managed service examples where people are doing repetitive tasks—they have to churn out reports. It's made their jobs so much better. When they provide those services now, they can add so much more value. Rather than thinking about churning out reports, they're able to think about: What's the content in my reports? That's very beneficial for everyone. By 2027: The Hardest CX Role to Hire Erin Mills: Mad Libs time. By 2027, the hardest CX job to hire will be _______ because of _______. Amanda Berger: I think it's like these forward-deployed engineer types of roles. These subject matter experts. One challenge in CS for a while has been: What's the value of my customer success manager? Are they an expert? Or are they revenue-driven? Are they the retention person? There's been an evolution of maybe they need to be the expert. And what does that mean? There'll continue to be evolution on that. And that'll be the hardest role. That standard will be very, very hard. Lightning Round Ken Roden: What's one AI workflow go-to-market teams should try this week? Amanda Berger: Summarization. Put your notes in, get a summary, get the bullets. AI is incredible for that. Ken Roden: What's one role in go-to-market that's underusing AI right now? Amanda Berger: Implementation. Ken Roden: What's a non-obvious AI use case that's already working? Amanda Berger: Data-related. People are still scared to put data in and ask for themes. Putting in data and asking for input on what are the anomalies. Ken Roden: For the go-to-market leader who's not seeing value in AI—what should they start doing differently tomorrow? Amanda Berger: They should start having real conversations about why they're not seeing value. Take a more human-led, empathetic approach to: Why aren't they seeing it? Are they not seeing adoption, or not seeing results? I would guess it's adoption, and then it's drilling into the why. Ken Roden: If you could DM one thing to all go-to-market leaders, what would it be? Amanda Berger: Look at your leading indicators. Don't wait. Understand your customer, be empathetic, try to get results that matter to them. Key Takeaways The Human-AI Balance in Customer Success: AI doesn't understand business outcomes or motivation—humans do. The winning teams use AI to find patterns and predict risk, then deploy humans to understand why it matters and what strategic action to take. The Lagging Indicator Trap: By the time NRR, churn rate, or NPS move, customers decided 6 months ago. Focus on leading indicators you can actually influence: verified outcomes, engagement signals specific to your business, early risk warnings, and real-time CSAT at decision points. The 70% Rule: Bring CS into the sales cycle at the technical win stage (70% probability) for two reasons: (1) CS should scope what they'll be accountable to deliver, and (2) capturing customer goals early prevents the frustrating "I already told your sales rep" moment later. Segmentation ≠ Personalization: AI makes segmentation faster and cheaper, but true personalization requires understanding context, motivation, and individual circumstances. The jumpsuit story proves we're still just sophisticated bucketing, even with 2026's advanced models. The Delegation Framework: Don't ask "what can AI do?" Ask "what parts of my job do I hate?" Delegate the tedious (formatting, repetitive emails, data analysis) so humans can focus on strategy, relationships, and outcomes that only humans can drive. "If You Don't Use AI, AI Will Take Your Job": The people resisting AI out of fear are most at risk. The people using AI to handle drudgery and focusing on what makes them irreplaceable—strategic thinking, relationship-building, understanding nuanced goals—are the future leaders. Customer Success ≠ Customer Retention: The name matters. Your job isn't preventing churn through discounts and extensions. Your job is driving verified business outcomes that make customers want to stay because you're improving their business. Stay Connected To listen to the full episode and stay updated on future episodes, visit the FutureCraft GTM website. Connect with Amanda Berger: Connect with Amanda on LinkedIn Employ Disclaimer: This podcast is for informational and entertainment purposes only and should not be considered advice. The views and opinions expressed in this podcast are our own and do not represent those of any company or business we currently work for/with or have worked for/with in the past.

In this episode of The Metrics Brothers, hosts Ray “Growth” Rike and Dave “CAC” Kellogg provide a critical deep dive into the 2025 SaaS Benchmark Report published by High Alpha. Known for their analytical, and sometimes "crusty" approach, the metrics brothers dissect the data behind 800+ SaaS companies to separate real market trends from report commentary.Key Highlights & BenchmarksThe brothers break down the report's most significant findings with their signature skepticism regarding "correlation vs. causation."The AI Growth Premium: Companies with AI at their core are growing significantly faster than those using AI as a supporting feature. For instance, in the $1–5M ARR band, AI-core companies achieved a median growth of 110%, compared to 40% for their peersThe "Lean Team" Era: Efficiency is surging as headcount falls. Median revenue per employee has jumped to $129K–$173K, with top-tier public companies hitting over $283K. The hosts note that engineering and support have seen the largest headcount reductions due to AI automationVenture Rebound (with a Caveat): While quarterly VC deal value has returned to near 2021 levels (~$80B), the capital is highly concentrated. Over half of all VC funding is currently flowing into AI startups, often in massive "mega-rounds."In-Office vs. Remote: For the second consecutive year, the data suggests that in-office or hybrid teams are growing faster (42% median) than fully remote teams (31% median).As always, Ray and Dave offer practical advice for founders and GTM leaders:"Read the data, but watch out for the commentary." While the data is good, some commentary and conclusions in the report imply causation where there is at best some level of correlation, such as why companies stay private longer or how AI "drives" growth.Retention is King: The strongest growth outcomes are found where high Net Revenue Retention (NRR) meets short CAC payback periods.Outcome-Based Pricing: The brothers highlight the shift toward outcome-based and hybrid pricing models as a primary driver for best-in-class NRR in 2025.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In episode #337 of SaaS Metrics School, Ben breaks down why software revenue categorization is a foundational requirement for strong finance, accounting, and SaaS metrics. He explains the core revenue types every SaaS, AI, or software company should separate on their P&L—and why commingling revenue creates downstream issues in MRR tracking, retention metrics, forecasting, and company valuation. Ben walks through the major recurring and non-recurring revenue categories, then shows how clean revenue segmentation enables accurate MRR schedules, retention analysis, cash flow forecasting, and smoother due diligence with investors and acquirers. What You'll Learn The core revenue categories every SaaS or AI company should clearly define The difference between subscription, usage, overage, services, managed services, and hardware revenue Why overages must be separated at both the SKU and general ledger level How revenue categorization feeds directly into MRR schedules and waterfalls Why recurring and variable revenue must be forecasted differently How clean revenue data improves retention metrics and go-to-market efficiency analysis Why investors and acquirers expect revenue clarity during fundraising and due diligence Why It Matters Accurate MRR and ARR tracking depends on clearly defined revenue streams Retention metrics (GRR and NRR) break when revenue types are mixed together Revenue forecasting and financial modeling require different assumptions by revenue type Cash flow forecasting becomes unreliable without segmented recurring revenue data Company valuation is directly impacted by the perceived quality of recurring revenue Investors and acquirers expect detailed revenue schedules during fundraising and due diligence Strong financial systems and accounting discipline reduce friction in audits and exits Resources Mentioned Ben's SaaS revenue hierarchy framework: https://www.thesaascfo.com/the-saas-revenue-hierarchy-why-defining-your-revenue-streams-matter/ SaaS Metrics course at The SaaS Academy: https://www.thesaasacademy.com/the-saas-metrics-foundation

In this episode of The Metrics Brothers, Ray “Growth” Rike and Dave “CAC” Kellogg take on one of the biggest challenges facing modern SaaS and AI-Native companies: how to measure NRR and expansion when pricing isn't fixed anymore.With the rise of usage-based, user-based-but-variable, and outcome-based pricing, the traditional world of ARR - long the backbone of SaaS metrics has been turned on its head. Contracts no longer tell the story. Spend does.Dave breaks down how to rethink ARR proxies using quarterly or monthly revenue (“implied ARR”) and why longer intervals help smooth volatility, especially for “humpback” or highly seasonal customers whose spend fluctuates dramatically month-to-month.Ray digs into what NRR was originally designed to measure and why many teams misinterpret it—especially in variable-pricing environments where a backward-looking metric can't serve as a forward-looking forecast. The brothers explain why sequential expansion, usage behavior, and real spend patterns now matter far more than traditional ARR bridges.Key topics include:Why ARR no longer maps cleanly to revenue in a variable pricing worldHow to calculate implied ARR using quarterly or monthly software revenueWhy NRR must be interpreted differently—and why survivor bias still mattersHow volatility and seasonality distort short-interval metricsWhy usage is the real leading indicator, not invoicesHow to rethink “expansion ARR” when base + variable spend changes continuouslyPacked with examples, including sinusoidal customers, misleading GRR math, and the dangers of splitting base versus variable revenue, this episode gives operators and investors a practical framework for measuring customer growth when pricing is anything but predictable.A must-listen for CFOs, RevOps leaders, and anyone trying to modernize SaaS metrics for the AI era.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

How will SaaS Companies scale in 2026? The next era of SaaS growth won't be won by adding more reps, more tools, or more noise. In this episode, go-to-market operator Koen Stam (Personio) breaks down why 2026 will mark a decisive shift from people-heavy scaling to process-first, data-driven, efficiency-led growth—and what founders must do now to stay ahead.Koen oversees international revenue operations across Benelux, DACH, the Nordics, Spain, and beyond, and he brings a rare operator's lens to the future of GTM. He unpacks how founder-led, sales-led, and hybrid motions will evolve; why RevOps is about to become one of the most strategic functions in SaaS; and why fixing the data layer is the non-negotiable prerequisite to making AI actually work.You'll learn why the biggest upside in 2026 will come from retention, expansion, and word of mouth, how to design motions that scale with simplicity and discipline, and what it really takes to build from 0 to 10K MRR and to 10M ARR with one product, one audience, and one crystal-clear process.A must-listen for founders, operators, and GTM leaders building for the next wave of SaaS.Key Timecodes(0:00) - Intro: B2B SaaS go-to-market 2026, RevOps, AI, retention, expansion(1:13) - Guest intro: Koen Stam, Personio, international RevOps, HR tech(2:04) - 2026 GTM strategy: process-first, data-driven, efficiency-led growth(2:47) - GTM motions: founder-led vs sales-led vs hybrid, authenticity, efficiency(4:02) - Efficiency in SaaS: bow tie model, customer journey mapping, root causes(5:35) - RevOps priority: data layer, metrics, RevOps to CRO(6:38) - AI in GTM: fix data foundations, process over people(7:26) - Retention & expansion: word-of-mouth, NRR, customer-led growth(9:20) - Sponsor: Reditus affiliate and referral platform for B2B SaaS(10:14) - Word-of-mouth playbook: product value, customer success, community events(12:06) - Build GTM from scratch: founder-led content, AI amplification, simplify(13:59) - Referrals & partners: partner ecosystem, trust, incentives, win-win(15:26) - Zero to 10K MRR: one offer, one ICP, focus, execution(16:54) - Scale to 10M ARR: one product, one market, process-first, data model(17:37) - Connect with Koen: LinkedIn, Substack, AI learnings(17:55) - Audience building: LinkedIn vs Substack, creator-led growth(18:27) - Outro: subscribe, sponsor, Reditus, Grow Your B2B SaaS podcast

Scrappy ABM brings together host Mason Cosby and Yann Sarfati, CEO and Co-founder of Userled, to talk about ABM, AI, field marketing, and events that actually bring the bank. The conversation starts with the problem statement: ABM is a strong buzzword, but finding the accounts you really want to go after is actually the hardest thing. Many teams say they have a narrow ICP and still end up with a list of 10,000 accounts.ㅤYann shares how Userled spent almost six months building a list of 1,000 accounts with clear commonality, strong conviction, and ethical belief that life will be better for those accounts. Mason highlights the mental headache and wasted 10 to 20 hours per bad deal when the ICP is wrong. Together they walk through NRR in MarTech, repeatable GTM motion, small events where the persona actually shows up, personalized event invites, and doing things that do not scale to win enterprise deals and keep customers for the long term.ㅤ

In this episode, "The Metrics Brothers," Growth (Ray Rike) and CAC (Dave Kellogg), dive into a critical challenge for modern SaaS and AI-Native companies: accurately calculating Net Revenue Retention (NRR) in environments that utilize variable pricing models (usage-based, outcome-based, etc.).They begin by defining NRR, emphasizing its importance as a key metric and its high correlation with Enterprise Value-to-Revenue multiples.The brothers then dissect the primary challenge: the absence of traditional Annual Recurring Revenue (ARR) in non-annual contract models. They explore different proxies for ARR, including MRR x 12 and Implied ARR (Quarterly Revenue x 4), and discuss the pitfalls of each, particularly the risk of overstating annual revenue due to seasonality or significant one-time deals.Finally, they offer their preferred, cohort-based method for calculating NRR—the "Snowflake Method" or "Two-Year Look Back"—which compares the current revenue of a specific group of customers (cohort) to their revenue from a year ago. They conclude with a discussion on how this method helps dampen the "noise" and variability inherent in usage-based data when trying to measure expansion and contraction.

How can you effectively prepare your SaaS for an exit? And what should you know about the valuation drivers, buyer types, and metrics that matter most? In a live episode of the Grow Your B2B SaaS podcast recorded at SaaS Summit Benelux, host Joran sat down with René de Jong to unpack what it takes for SaaS companies to scale and prepare for a successful exit in 2026. René helps entrepreneurs—specifically SaaS founders—design effective exit strategies and navigate the full process of selling their businesses to third parties. Across the conversation, he offered clear and pragmatic insights on what separates the SaaS businesses that grow and sell well from those that struggle, how buyers evaluate companies in the current market, and why topics like the rule of 40, net revenue retention, AI-driven scalability, and deal structure matter now more than ever. From early-stage focus at 0 to 10K MRR to strategies for moving toward 10 million ARR, René shared guidance grounded in what he sees every day in the market.This episode turns the full discussion into a clear, actionable narrative that stays true to the original conversation and is easier to follow and revisit.Key Timestamps(0:00) - SaaS Summit Benelux intro, B2B SaaS scaling 2026, Rule of 40, NRR, ARR multiples, Earnouts, Strategic buyers, 0-10K MRR, 10M ARR(0:50) - Guest intro, SaaS M&A advisor, SaaS exit strategy, SaaS acquisition process(1:14) - Scaling your SaaS for 2026(1:20) - What separates SaaS winners in 2026(1:26) - Rule of 40, Efficient growth, ARR multiple valuation(2:18) - Go-to-market strategy, New business team, Net Revenue Retention (NRR), Expense efficiency(3:05) - NRR benchmarks, Churn, Customer concentration, Market standards(4:01) - Efficient growth vs spend, AI scalability, Revenue per employee(5:06) - AI native SaaS costs, VC vs mature SaaS valuation, EBITDA vs ARR(6:38) - VC backing for AI native startups(6:48) - Freemium model 2026, Valuation cycles, EBITDA focus, AI hype, ARR multiples(8:05) - Sponsor: B2B SaaS affiliate marketing, Reditus(8:49) - SaaS valuation benchmarks, ARR multiples range(9:01) - 3.5x ARR cash at close, Earnout, Reinvest, Deal structure(10:34) - Venture capital vs Private equity(10:43) - Strategic buyers, One plus one equals three, Synergy valuation(11:22) - Build list of strategic acquirers, Exit planning(11:29) - Headline valuations vs reality, Purchase price, Earnouts, Deal terms(11:51) - Earnout as bonus, Cash at closing, Burnout risk(13:05) - 2026 growth loop, AI in land and expand, Product-led growth, AI agents(14:10) - 0–10K MRR advice, Founder mindset, Learn fast, Mentors, SaaS community(15:35) - Smart capital, Operator investors, Non-dilutive help(16:06) - 10K MRR to 10M ARR, Focus, Buy-and-build strategy, Autonomous growth, 3–5 year plan(17:43) - Contact info, LinkedIn, anno9082.nl(18:03) - Outro, Subscribe, Sponsor the show, Reditus call-to-action

おはようございます、社長参謀の小島です。今朝のテーマは「顧客の声の『詰まり』を解消する」です。日経MJの記事から、選挙戦で躍進した「パブリックリスニング」という手法を読み解きます。多くの企業が集めた声を「データ」として倉庫に保管し、腐らせてしまっている現状に警鐘を鳴らします。AIは自動化のためではなく、顧客の痛みに「即応」するために使うもの。たった1%の改善が、顧客との信頼関係（NRR）を劇的に変える理由とは？明日から現場で使える「ワン・クエスチョン」の問いかけと共に、泥臭くも温かい事業開発のヒントをお届けします。早朝の10分間、御社の未来を変える戦略会議を始めましょう。#夜明けの戦略会議 #社長参謀 #新規事業 #経営戦略 #顧客の声 #パブリックリスニング #AI活用 #日経MJ #中小企業経営 #事業開発

David Schreiber, ehemals Stripe & Trade Republic, heute Gründer von Duna, spricht über die Kunst der Produktentwicklung. Er teilt, warum europäische und amerikanische Produktphilosophien unterschiedlich sind, wie man zwischen Vision und Pragmatismus balanciert und warum Europa der ideale Standort für komplexe B2B-Infrastruktur ist. Was du lernst: Produktphilosophie Unterschiede zwischen B2C und B2B US vs. EU Denkweisen Vision vs. Pragmatismus Go-to-Market Co-Development als Strategie Die richtigen ersten Kunden Warum Vertrauen entscheidend ist Pricing & Value Business Case basiertes Pricing Success-Based Modelle Wie man NRR richtig denkt Product Market Fit Segmentierung & Geografie Von "Gut genug" zu "Magic" Warum PMF mehrdimensional ist Alles zu Unicorn Bakery: https://stan.store/fabiantausch Mehr zum Gast: LinkedIn: https://www.linkedin.com/in/ds-berlin/ Website: https://duna.com/ Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/ Kapitel: (00:00:00) Intro: Produktentwicklung in der KI-Ära (00:02:12) Was macht ein richtig gutes B2B-Produkt aus? (00:04:44) US vs. Europa: Unterschiedliche Produktphilosophien (00:08:23) Von der Vision zur Realität: Der richtige Ansatz (00:12:59) Wie KI die Produktentwicklung fundamental verändert (00:17:12) Der Burggraben-Mythos: Wie baut man heute Wettbewerbsvorteile? (00:38:09) Dune: Von der Idee zur Identitäts-Infrastruktur (00:49:14) Die ersten Kunden: Zwischen Weihnachten und Launch (00:59:24) Co-Development als Go-to-Market Strategie (01:04:43) Pricing-Philosophie: ROI statt versteckte Gebühren (01:18:32) Product-Market Fit ist nicht binär (01:21:23) Die nächsten 3 Jahre: Vom Produkt zum Netzwerk (01:24:45) Warum Europa der richtige Ort für bestimmte Businesses ist

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

FinPod: Subscription Economics: Mastering LTV, Churn, and Recurring RevenueThe Subscription Economy has fundamentally reshaped corporate finance, moving the focus from one-time sales to long-term customer relationships. For professionals in FP&A, IR, and Corporate Strategy, understanding this shift is critical for forecasting and valuation.In this episode of Corporate Finance Explained on FinPod, we break down the unique financial mechanics of recurring revenue, examine key metrics, and explore how the most successful companies manage this model.The Core Shift: Value & Metrics: The subscription model swaps short-term cash hits for long-term predictability, which investors reward with higher valuation multiples.The Critical Ratio (LTV:CAC): We break down the relationship between Customer Lifetime Value (LTV) and Customer Acquisition Cost (CAC). Learn why the benchmark is LTV ≥ 3x CAC and the pitfalls of inflating LTV with non-recurring revenue.The Accounting Challenge: We explain revenue recognition (ASC 606/IFRS 15) and the concept of Deferred Revenue. Cash is received upfront, but revenue is recognized over time, which can make financial statements appear less profitable during high-growth periods.The Cautionary Tale: Analysis of MoviePass reveals the danger of fundamentally broken unit economics, where the cost to serve the customer (CoGS) was higher than the subscription fee, accelerating the path to bankruptcy.Strategic Playbooks & Success Stories: Successful companies master the mechanics of growth and retention, managing complex P&Ls and investor expectations:The Content Giant (Netflix): The challenge of balancing liquidity and leverage while managing billions in content amortization to drive retention and reduce churn (even a half-percent increase means millions in lost ARR).The SaaS Pioneer (Salesforce): Leveraging deferred revenue as an interest-free loan and obsessively tracking Net Revenue Retention (NRR), measuring if existing customers increase their spending over time.The Strategic Pivot (Adobe): The painful but successful transition from a lumpy license model to the predictable Creative Cloud subscription, which required transparent communication to manage market expectations.The Hybrid Model (Peloton, Amazon Prime): Understanding that the high-cost hardware sale is primarily a customer acquisition channel for the much more valuable, low-cost recurring content stream.The Modern Finance Mandate: Mastering the subscription model requires blending traditional corporate rigor with data science:Cohort Analysis: Shifting forecasting models to track groups of customers based on sign-up time, revealing granular insights into renewal rates, upgrades, and churn patterns.Proactive Scenario Modeling: Forward-looking planning (FP&A) must run rigorous sensitivity analyses, modeling the impact if CAC jumps 15% or if churn spikes, to prepare leadership for potential volatility.Communication is Strategy: Clearly articulating metrics like NRR and the path for LTV expansion to maintain premium public market valuations.

Alex Lieberman and Arman Hezarkani, co-founders of Tenex, reveal how they're revolutionizing software consulting by compensating AI engineers for output rather than hours—enabling some engineers to earn over $1 million annually while delivering 10x productivity gains. Their company represents a fundamental rethinking of knowledge work compensation in the age of AI agents, where traditional hourly billing models perversely incentivize slower work even as AI tools enable unprecedented speed. The Genesis: From 90% Downsizing to 10x Output The story behind 10X begins with Arman's previous company, Parthian, where he was forced to downsize his engineering team by 90%. Rather than collapse, Arman re-architected the entire product and engineering process to be AI-first—and discovered that production-ready software output increased 10x despite the massive headcount reduction. This counterintuitive result exposed a fundamental misalignment: engineers compensated by the hour are disincentivized from leveraging AI to work faster, even when the technology enables dramatic productivity gains. Alex, who had invested in Parthian, initially didn't believe the numbers until Arman walked him through why LLMs have made such a profound impact specifically on engineering as knowledge work. The Economic Model: Story Points Over Hours 10X's core innovation is compensating engineers based on story points—units of completed, quality output—rather than hours worked. This creates direct economic incentives for engineers to adopt every new AI tool, optimize their workflows, and maximize throughput. The company expects multiple engineers to earn over $1 million in cash compensation next year purely from story point earnings. To prevent gaming the system, they hire for two profiles: engineers who are "long-term selfish" (understanding that inflating story points will destroy client relationships) and those who genuinely love writing code and working with smart people. They also employ technical strategists incentivized on client retention (NRR) who serve as the final quality gate before any engineering plan reaches a client. Impressive Builds: From Retail AI to App Store Hits The results speak for themselves. In one project, 10X built a computer vision system for retail cameras that provides heat maps, queue detection, shelf stocking analysis, and theft detection—creating early prototypes in just two weeks for work that previously took quarters. They built Snapback Sports' mobile trivia app in one month, which hit 20th globally on the App Store. In a sales context, an engineer spent four hours building a working prototype of a fitness influencer's AI health coach app after the prospect initially said no—immediately moving 10X to the top of their vendor list. These examples demonstrate how AI-enabled speed fundamentally changes sales motions and product development timelines. The Interview Process: Unreasonably Difficult Take-Homes Despite concerns that AI would make take-home assessments obsolete, 10X still uses them—but makes them "unreasonably difficult." About 50% of candidates don't even respond, but those who complete the challenge demonstrate the caliber needed. The interview process is remarkably short: two calls before the take-home, review, then one or two final meetings—completable in as little as a week. A signature question: "If you had infinite resources to build an AI that could replace either of us on this call, what would be the first major bottleneck?" The sophisticated answer isn't just "model intelligence" or "context length"—it's controlling entropy, the accumulating error rate that derails autonomous agents over time. The Limiting Factor: Human Capital, Not Technology Despite being an AI-first company, 10X's primary constraint is human capital—finding and hiring enough exceptional engineers fast enough, then matching them with the right processes to maintain delivery quality as they scale. The company has ambitions beyond consulting to build their own technology, but for the foreseeable future, recruiting remains the bottleneck. This reveals an important insight about the AI era: even as technology enables unprecedented leverage, the constraint shifts to finding people who can harness that leverage effectively. Chapters 00:00:00 Introduction and Meeting the 10X Co-founders 00:01:29 The 10X Moment: From Hourly Billing to Output-Based Compensation 00:04:44 The Economic Model Behind 10X 00:05:42 Story Points and Measuring Engineering Output 00:08:41 Impressive Client Projects and Rapid Prototyping 00:12:22 The 10X Tech Stack: TypeScript and High Structure 00:13:21 AI Coding Tools: The Daily Evolution 00:15:05 Human Capital as the Limiting Factor 00:16:02 The Unreasonably Difficult Interview Process 00:17:14 Entropy and Context Engineering: The Future of AI Agents 00:23:28 The MCP Debate and AI Industry Sociology 00:26:01 Consulting, Digital Transformation, and Conference Insights

Early-stage founders often claim they've reached product market fit, but when you look closer, it's usually built on vibes, not data. In this episode of In Demand, Asia and Kim unpack what real product market fit looks like, how to measure it quantitatively, and why most early-stage SaaS companies are too quick to assume they've found it.  If you've ever wondered how to know when you've actually hit product market fit, or if you might be fooling yourself, this episode gives you the frameworks and numbers to tell the difference. Got a question you'd like Asia to unpack on the podcast? Record a voicemail here. Links:  DemandMaven Previous In Demand Episodes that discuss NRR: episode 46 and episode 37 Superhuman Product Market Fit Survey ProfitWell Chart Mogul Chapters (00:02:20) - What is product market fit, and how was it historically measured?(00:07:00) - The product market fit survey and its limitations.(00:11:30) - Gross customer retention (GCR) as an underrated metric for measuring product market fit.(00:16:00) - Net Revenue Retention (NRR) as a deeper sign of product-market alignment.(00:20:10) - How GCR and NRR tell different parts of the story.(00:26:05) - Secondary indicators: churn rate, close rate, and trial-to-paid conversions.(00:28:05) - Why cohorting/segmenting reveals where PMF actually exists.(00:34:50) - You might have PMF for one segment but not another.(00:36:45) - The cautionary tale of assuming PMF too soon and how DemandMaven sets expectations with new clients.(00:44:30) - The reality check: if you've never charged customers, you don't have PMF.

“SaaS metrics are dead.” You've probably seen that post on LinkedIn or X lately. In episode #325, Ben Murray cuts through the noise to explain why SaaS metrics aren't broken — they're just evolving to match modern recurring revenue business models. Whether you're running a SaaS, AI, software, or managed services company, the same financial principles apply. The key is understanding your revenue types — subscription, usage, consumption, or transaction — and applying the right metrics framework for each. What You'll Learn Why SaaS metrics still work — and why the confusion exists. The difference between SaaS as a delivery model and recurring revenue as a financial model. Why the most important question isn't “Are you SaaS?” but “What are your revenue types?” How financial systems and P&L design should reflect these revenue categories for accurate unit economics and valuation. Why It Matters For Operators: The framework for recurring revenue metrics applies whether you sell software, data, or AI services. For Finance Teams: You can't manage what you don't measure — ensure your financial modeling captures all recurring components. For Investors: Strong recurring revenue visibility (ARR, NRR, margins) still drives valuation multiples — regardless of your label. For Founders: Stop worrying about the buzz — focus on measuring what matters for your business model. Key Takeaways SaaS metrics = recurring revenue metrics. Focus on revenue types, not just labels like “SaaS” or “AI.” A clear chart of accounts and a well-designed financial system enable accurate SaaS metrics. The fundamentals of finance, accounting, and valuation haven't changed — only the packaging has. Resources Mentioned

Dheeraj built Nutanix into a $20B public company—then walked away to start DevRev. He just raised a $100M Series A.This episode breaks down why most founders "sell and run" (chase new logos instead of delivering value), why that strategy fails, and how Dheeraj thinks about building platforms with use cases instead of just features. He explains why the biggest opportunities come from bundling and why you need to hit 130%+ NRR to scale in B2B.Dheeraj also shares the two near-death experiences at Nutanix in the first 5 years, how they survived, and what he's building differently at DevRev in the AI-native world.If you're wondering whether you have real PMF, how to think about platforms vs features, or why your existing customers matter more than new ones—this is mandatory listening from someone who's done it twice at massive scale.Why You Should Listen:Learn why PMF at $1M doesn't mean PMF at $10M—and why you have to find it again at every milestoneWhy "sell and run" kills startups—the real work starts after you close the dealSee how platform thinking (not feature thinking) took Nutanix to $1B ARRUnderstand why 30-40% of revenue from existing customers is real PMF Keywords:startup podcast, startup podcast for founders, product market fit, platform thinking, Nutanix founder, enterprise SaaS, net dollar retention, PMF milestones, fastest to $1B, second-time founder00:00:00 Intro00:01:58 Starting Nutanix00:14:24 Why he left a $20B company00:18:53 The DevRev thesis00:27:39 Pre-AI vs post-AI product strategy and the agent shift00:40:57 Platform vs features00:46:25 PMF is not a destination00:48:10 #1 AdviceSend me a message to let me know what you think!

Dave Kellogg, EIR at Balderton Capital, wrote an explosive piece on the reality of modern startups in 2025. Dave walks us through the winners and losers in the AI era. Read Dave's Article Here: https://topline.beehiiv.com/p/the-era-of-haves-and-have-nots 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: 00:47 Introduction & editorial setup 03:03 Defining winning: market share as goal 07:09 Marathon vs sprint; growth tradeoffs 12:02 Switching costs, returns, and herd dynamics 21:42 Disruption resets order; capital to #1 25:06 Easy-come growth vs durable ARR 28:18 Creative destruction and incentives 33:31 Winning by ownership type 36:39 Strategy over grind; #2 playbook 40:33 Labor leverage, RTO, and 9-9-6 culture 53:31 Stalled SaaS: valuations, NRR, and growth 1:01:00 Consolidation, moats, domain expertise 1:04:45 Outro & where to follow  

Does Net Revenue Retention (NRR) really move your company's valuation multiple? Absolutely — and the difference can be worth tens of millions of dollars. In episode #319, Ben Murray breaks down new data from Meritech Capital and Benchmarkit.ai to show exactly how changes in your NRR directly impact your revenue multiple and SaaS valuation. You'll also learn why ACV segmentation matters when benchmarking NRR and Gross Revenue Retention (GRR), and how top-performing SaaS companies are using retention metrics to drive investor confidence and higher valuations. What You'll Learn The link between NRR and valuation multiples — a 7-point jump in NRR can double your multiple. How a $5M ARR company can see a $25M valuation swing from retention improvements. The latest SaaS benchmarks from Ray Rike (Benchmarkit.ai) for NRR and GRR. Why you must benchmark NRR by ACV, not company size or industry averages Why investors prioritize retention when evaluating durability, efficiency, and predictability of revenue. Why It Matters For SaaS Founders: NRR improvements can directly increase your exit or fundraising valuation. For CFOs & Finance Leaders: Retention trends reveal the sustainability of your revenue model and influence your ARR growth forecast. For Investors: High NRR signals strong customer economics, pricing power, and efficient growth. For Operators: Knowing your NRR by ACV cohort allows smarter resource allocation and customer success planning. Resources Mentioned The SaaS CFO Academy: https://www.thesaasacademy.com/#section-1744932157830 Quote from Ben “A 5X difference in valuation multiple can come down to just a few points in your net revenue retention. That's the power of strong SaaS metrics.”

Even small errors in your MRR schedule can have a massive impact on your retention metrics, and in due diligence, that can destroy investor confidence. In episode #318, Ben Murray explains why gaps in your monthly recurring revenue (MRR) schedule create inaccurate gross revenue retention (GRR) and net revenue retention (NRR) results — and how poor invoicing and renewal practices are often the root cause. You'll learn how to identify, fix, and prevent these gaps so your SaaS financial reporting and valuation metrics remain accurate and investor-ready. What You'll Learn ✅ What causes gaps in your MRR schedule (and how to spot them). ✅ How MRR gaps distort your retention, expansion, and churn calculations. ✅ Why these data issues raise red flags in due diligence. ✅ How to align renewal dates, contracts, and invoicing to eliminate data breaks. ✅ What a clean, accurate MRR waterfall should look like for SaaS and AI companies. ✅ Why you need at least three years of clean retention data before a fundraise or exit. Why It Matters For CFOs & Finance Teams: Gaps cause misleading GRR/NRR trends that erode trust in your data. For Founders & CEOs: Bad MRR data can hurt company valuation and slow down fundraising or acquisition. For Investors: Clean MRR schedules provide transparency into predictable revenue and retention strength. For Accountants: Accurate MRR waterfalls enable stronger financial modeling and forecasting. Resources Mentioned SaaS Metrics Foundation Course: https://www.thesaasacademy.com/the-saas-metrics-foundation Quote from Ben “If there are gaps in your MRR schedule, your retention story falls apart — and investors will notice.”

In this episode, host Dan Sixsmith interviews Marilee Bear the CRO at Gainsight. Marilee reflects on her first year at the helm, discussing the company's impressive growth trajectory, recent strategic acquisitions, and the challenges and opportunities presented by a major leadership transition. Marilee shares actionable strategies for improving net revenue retention, such as leveraging data-driven insights, fostering cross-functional collaboration, and investing in customer education. The conversation also explores the impact of AI on sales processes. Marilee offers candid leadership insights, discussing the importance of transparency, adaptability, and building a culture of continuous learning. She also recounts her career journey, from her early ambitions and formative experiences to the pivotal moments that led her to lead a major SaaS company, offering advice for aspiring leaders in the tech industry.Timestamps:Welcome and Introductions (00:00:01) Dan welcomes Marilee Bear who reflects on her first year at Gainsight, company growth, and recent leadership changes.Company Growth, Acquisitions, and Leadership Transition (00:00:30) Marilee discusses acquisitions, repositioning Gainsight for growth, and the CEO transition from Nick Mehta to Chuck Apathy.Team Structure and Business Unit Model (00:02:04) Explanation of new hires, business unit model, and leadership structure within product and customer success teams.Integrating Customer Success into Revenue Organization (00:03:21) Describes shifting customer success under the revenue team and the industry trend of CS as a revenue driver.Defining Roles and Realigning the Revenue Team (00:05:25) Outlines the jobs-to-be-done exercise, clarifying roles across sales, CS, and other go-to-market functions.Customer Success as a Pipeline Engine (00:06:24) Details how CS now contributes to pipeline generation and the metrics used to measure CSM impact.Net Revenue Retention (NRR) Challenges (00:07:29) Discussion of industry-wide NRR declines and the need for strategic retention and value delivery.Retention Strategies and Multi-threading (00:08:21) Emphasizes proactive retention, business value demonstration, and multi-threading within customer organizations.Competitive Landscape and Expansion Focus (00:12:29) Explains how competition now includes internal build vs. buy, and the importance of expansion within existing customers.Convergence of Sales and Customer Success Roles (00:13:53) Observes the merging responsibilities of CS and sales, with CS teams adopting more sales-like approaches.State of B2B Sales and Impact of AI (00:14:25) Explores ongoing challenges in B2B sales, the impact of generative AI, and the need for business acumen.Reaching C-level Executives and Sales Best Practices (00:17:00) Shares the difficulty of accessing executives, the importance of detective work, and value-driven outreach.Effective Sales Outreach to Executives (00:19:12) Marilee describes what makes sales outreach compelling: offering choices, concise meetings, and understanding executive preferences.Marilee's Career Journey (00:21:31) Covers her early ambitions, work history from restaurants to Oracle, Akamai, Zendesk, and her path to Gainsight.Retention and Customer Success Experience (00:25:54) Highlights her experience with retention at Akamai, building CS teams, and her initial exposure to Gainsight.Key Career Lessons and Leadership Growth (00:28:54) Shares lessons on authenticity, operational rigor, and the importance of direct feedback and self-improvement.Leadership Philosophy and Team Management (00:33:58) Discusses leading diverse teams, empathy, balancing encouragement with accountability, and fostering a feedback culture.Definition of Success (00:36:00) Marilee defines success as delivering the best outcomes for customers, company, and self, in that order.Closing Remarks (00:36:43) Dan thanks Marilee, wraps up the episode, and previews future collaborations.

Is renewal rate just another way of saying retention? Not exactly. In episode #316, Ben Murray breaks down the difference between renewal rate and the classic retention metrics—gross revenue retention (GRR), net revenue retention (NRR), and customer/logo retention. Ben explains why the renewal rate is the leading indicator of retention, especially when running annual or multi-year contracts, and why investors, private equity buyers, and your board will want to see this number alongside your standard SaaS metrics. If you're a SaaS or AI operator looking to better understand your unit economics and improve your company's valuation, this episode will help you put renewal rate into context as part of your financial metrics toolkit.

https://constraintcalculator.scoreapp.com/In this episode, host Jordan Ross interviews Peter Tams, co-founder of Clever Digital Marketing, who scaled his agency from side-hustle beginnings in 2019 to breaking $10M+ in annual revenue within just three years of going all-in.Peter shares how niching down into the home improvement space, restructuring his team around client consultants, and making Net Revenue Retention (NRR) the North Star metric transformed his agency into a referral-driven growth machine. Alongside this, he dives into how Kaizen culture, infrastructure, and incentivized systems helped build a team that thrives and a business that compounds.If you're an agency owner stuck between $1–3M or dreaming of eight figures, this episode will give you a clear playbook on how to scale with focus, culture, and courage.Chapters – Why only 0.4% of agencies reach 8 figures – Meet Peter Tams & the early days of Clever Digital Marketing – From generalist services to specializing in home improvement – Lessons from niching down: depth vs breadth – Breaking $10M: the three anchors of growth – Specialization & hyper-focus as a scaling strategy – Creating long-term goals and 10-year vision planning – Transforming client success managers into client consultants – Referrals as a leading KPI & NRR as the North Star metric – Incentivizing the team with rewards & culture-building – The power of Kaizen (continuous improvement) in agency growth – Building infrastructure: reporting, onboarding, and L&D systems – Why 65% of their revenue comes from referrals – Diversifying channels beyond referrals for sustainable growth – Reverse-engineering metrics and building meticulous systems – Courage, persistence, and leadership through challenges – Staying two steps ahead in business & client relationships – Where to connect with Peter onlineTo learn more go to 8figureagency.co

In deze aflevering met Ruben Miessen (Legalfly) hebben we het o.a. over: 1. Product vs. Go-to-market – waarom Ruben gelooft dat in de long run het beste product altijd wint. 2. De start van LegalFly – hoe het idee ontstond bij Tinder en hoe een MVP in 1,5 maand werd gevalideerd met advocatenkantoren. 3. De focus op in-house legal teams – waarom segmentatie cruciaal was en hoe ze de keuze maakten om advocatenkantoren bewust los te laten. 4. De legal AI-markt – trends, competitie en waarom de TAM groot genoeg is om een wereldspeler te bouwen. 5. Het agent-based productmodel – hoe LegalFly AI-agents bouwt die specifieke juridische taken automatiseren en waarom dit verschilt van klassieke SaaS. 6. Hun sales playbook – waarom elke eerste meeting discovery + demo bevat en hoe AE's productexperts zijn in plaats van verkopers. 7. KPI's & metrics – van daily active usage tot NRR, hoe LegalFly product-adoptie en groei meet. 8. Product obsessie – waarom het founding team nog steeds zelf product runt en waarom ze geloven dat dit hun grootste sterkte is. --- Founder middag in den Haag: https://welovesaas.io/events/saas-sessie-29-september-2025-2/ Legalfly: https://www.legalfly.com/ SaaS Summit Benelux: saassummit.io/ Leadinfo: www.leadinfo.com/ We Love SaaS: welovesaas.io/

In this episode of RevOps Champions, host Brendon Dennewill interviews Vince Chiofolo, SVP of Revenue Strategy at Dash Solutions and President of the Incentive and Engagement Solutions Providers (IESP). The conversation explores the critical but often overlooked connection between payment experiences and customer retention. Vince reveals that 76% of customer churn can be traced back to poor payment experiences, whether inbound or outbound.The discussion dives deep into how RevOps teams can drive alignment across organizations by focusing on shared metrics like lifetime value (LTV), net revenue retention (NRR), and customer health. Vince shares practical insights on building loyalty through three key pillars: emotional, structural, and behavioral loyalty. The episode provides actionable frameworks for reducing churn, improving customer experience, and creating sustainable revenue growth through better operational alignment.What You'll LearnWhy 76% of customer churn relates to payment experience failures and how to address themThe three-pillar framework for customer loyalty: emotional, structural, and behavioralHow to align entire organizations around shared revenue metrics and outcomesThe surprising ROI of retention: how a 1-2% drop in churn can increase company valuation by 12%Practical strategies for moving beyond "new logo obsession" to focus on customer expansionCommunication frameworks that scale with business growth: metrics, rhythms, and strategic focusHow outbound payment solutions can transform from cost centers to revenue driversResources MentionedDash Solutions - B2P (Business-to-Person) payment platformMcKinsey study on organizational silos as growth barriersEinstein's problem-solving methodologyNet Revenue Retention (NRR) as a key alignment metricCustomer Lifetime Value (LTV) optimization strategiesAbout Vince ChiofoloTitle: SVP of Revenue Strategy Company: Dash SolutionsIs your business ready to scale? Take the Growth Readiness Score to find out. In 5 minutes, you'll see: Benchmark data showing how you stack up to other organizations A clear view of your operational maturity Whether your business is ready to scale (and what to do next if it's not) Let's Connect Subscribe to the RevOps Champions Newsletter LinkedIn YouTube Explore the show at revopschampions.com. Ready to unite your teams with RevOps strategies that eliminate costly silos and drive growth? Let's talk!

India beat Pakistan in the Super 4 after outclassing them in Dubai. BP boys share their thoughts on the game and much more.Use code "BP15" for an exclusive 15% off your purchase at Yashi Sports: https://www.yashisports.com

Many usage-based companies like Twilio don't disclose ARR as their North Star metric. So, what do they track instead to communicate growth and efficiency to investors? In episode #314, Ben Murray shares his research from 10-Q filings, press releases, and earnings calls to uncover the seven most common financial metrics that usage-based companies highlight. From revenue growth and gross margin improvements to AI adoption and RPO (Remaining Performance Obligations), you'll learn what matters most to analysts, investors, and acquirers when ARR isn't the headline. This is a must-listen if you're building a usage-based business model and want to understand how to position your company for valuation and fundraising success. What You'll Learn Why many usage-based companies don't lead with ARR or MRR. The 7 key metrics How AI adoption is becoming a narrative driver in earnings calls. Why RPO is gaining importance as a measure of forward visibility and future revenue. Why It Matters For Investors: These metrics provide confidence in growth and scalability, even without ARR disclosures. For Founders: Tracking and segmenting these numbers helps communicate the right story to Boards and potential buyers. For Valuation: Metrics like RPO and NRR are increasingly driving company valuations in usage-based models. For Finance Leaders: Understanding which financial systems and SaaS metrics to track ensures more effective reporting and better alignment with investors. Resources Mentioned The SaaS Metrics Academy: https://www.thesaasacademy.com/ Quote from Ben “If usage-based companies aren't tracking ARR, what are they tracking? The answer is seven key metrics that investors want to see — from gross margin to RPO.”

What does it really take to scale a SaaS from a tiny Barcelona startup to a global leader protecting brands like major clubs and top electronics companies? In this candid conversation, Laura Urquizu (CEO, Red Points) shares hard-won lessons on going from SMB to enterprise, hiring fast in NYC (and fixing the fallout), balancing long-term strategy with short-term execution, and why the best CEOs become “irrelevant” day-to-day as teams outperform.We dive into go-to-market, NRR as the north star, fundraising mistakes after a big round, building in the U.S. from Europe, and the AI behind Red Points (95% automated detection, 30M checks/day). If you're a founder, operator, or investor, this one's a masterclass in scaling under permanent uncertainty.Support the show

En este nuevo episodio de Fusiones y Adquisiciones, el podcast de Empresax, hablamos de M&A en tecnología con Ignacio Villalón Pérez-Artacho: - Repasamos su trayectoria. ¿Cómo llega al mundo de M&A en tecnología? ¿Qué aprendizajes destaca de tu paso por Telefónica Tech? ¿Qué le atrajo del proyecto de Everfield? - Panorama actual del M&A en tecnología. ¿Cómo ve la evolución del mercado post-2022? ¿Hay apetito comprador actualmente? - M&A en empresas de servicios tecnológicos. ¿Qué busca un comprador cuando evalúa una consultora tecnológica? ¿Qué retos específicos hay en la integración de empresas de servicios (personas, cultura, clientes)? - M&A en software B2B. ¿Qué perfil de empresas busca Everfield? ¿Qué les atrae de los targets? ¿Qué métricas son clave al analizar una empresa de producto/software? ¿Cómo valoran aspectos como la recurrencia, el churn, el NRR, la escalabilidad? ¿Qué diferencias encuentran en otros países donde también están activos? - Casos recientes. ¿Hay patrones comunes entre estas empresas? ¿Qué perfil de fundador suelen tener? - Consejos para fundadores que podrían vender su empresa. ¿Qué debe preparar un fundador si está pensando en una transacción? ¿Qué errores ves más a menudo en procesos de M&A? - Futuro. ¿Cómo ve la evolución del ecosistema de software en España? ¿Qué tendencias crees que marcarán los próximos años en M&A tecnológico? Nacho es Country Manager Acquisitions de Everfield en España (https://www.linkedin.com/in/ignacio-villalonpa/).

On this episode of The SaaS CFO Podcast, host Ben Murray sits down with Idan Bar-Dov, co-founder and CEO of Heka. Idan shares his unique journey from working in finance and law—starting out at an international law firm advising fintech companies—through the challenges of founding a startup during the pandemic, to leading a fast-growing SaaS company transforming how financial institutions use open source data. Together, they dive into Heka's evolution from its early focus on reconnecting consumers with their assets amid widespread data gaps, to becoming a global platform that provides advanced fraud detection, contact recovery, and enriched credit decisioning for major banks, fintechs, payment processors, and alternative lenders. Idan also opens up about the company's fundraising milestones, lessons learned from raising $16 million to date, building credibility with Fortune 500 clients, and the importance of sticky revenue metrics as the business scales. Tune in to hear more about Heka's mission to become the gold standard in consumer data, outpacing industry giants, and what's next for their growing team headquartered in New York and Israel. Plus, Idan shares practical advice for founders tackling enterprise sales, go-to-market strategy, and fundraising in the financial technology space. Show Notes: 00:00 Fintech Pivot During COVID Lockdown 04:15 Global Financial Reconnection Solutions 07:20 Insightful Investors Drive Series A 11:59 Navigating Investment Deals Efficiently 14:42 Investors Drive Financial Innovation 18:48 "Metrics for Growth: Revenue & NRR" 20:49 "Conquer Fortune 500 Market" Links: SaaS Fundraising Stories: https://www.thesaasnews.com/news/heka-raises-14-million-in-series-a Idan Bar-Dov's LinkedIn: https://www.linkedin.com/in/idan-bar-dov/ Heka Global's LinkedIn: https://www.linkedin.com/company/heka-global/ Heka Global's Website: https://hekaglobal.com/ To learn more about Ben check out the links below: Subscribe to Ben's daily metrics newsletter: https://saasmetricsschool.beehiiv.com/subscribe Subscribe to Ben's SaaS newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page SaaS Metrics courses here: https://www.thesaasacademy.com/ Join Ben's SaaS community here: https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Follow Ben on LinkedIn: https://www.linkedin.com/in/benrmurray

This week's episode comes live from SaaStock USA 2025. Join special guests Greg Head (Practical Founders) and Josh Turley (CEO, RTA) as they discuss the story of transforming RTA from a 1970s COBOL-based business into a thriving SaaS company with a $100M valuation. Josh shares: - Why a fanatical focus on culture and clarity fueled RTA's growth. - The challenges of replatforming legacy software (and migrating customers.) - How narrowing their niche to government fleets led to 95% retention & 120% NRR. - Lessons from bootstrapping, using debt strategically, and closing a growth equity round. Guest links: LinkedIn - https://www.linkedin.com/in/josh-turley/ Website: https://rtafleet.com/       Check out the other ways SaaStock is helping SaaS founders move their business forward: 

SUMMARY In this episode, Gil shares the raw journey of building Metadata — from validating the idea through consulting, to nearly running out of cash, to eventually raising a $35M+ Series B. He explains how doubling prices unlocked product-market fit, why retention beats new logos, and how adopting AI transformed the company. This is a candid look at the highs, lows, and lessons every founder needs to hear. FOUNDER: Gil Allouche https://www.linkedin.com/in/gilallouche/

Most SaaS founders pay attention to churn, but beneath the surface of a good or bad churn number, many important details are missed.   In this episode of In Demand, Asia and Kim break down the real story behind churn. What the numbers do and don't tell you and how to dig deeper to uncover the patterns driving customer retention (or loss).  From understanding net revenue retention to running effective churn interviews, this is the ultimate primer on diagnosing and solving churn for your SaaS. Got a question you'd like Asia to unpack on the podcast? Record a voicemail here. Links:  DemandMaven ProfitWell ChurnKey ChartMogul Chapters (00:01:30) - Why a 5% churn rate may not be as healthy as you think.(00:03:55) - How do you measure churn? And getting detailed with qualified vs. unqualified churn and why you need to measure both.(00:06:05) - How to set up onboarding to keep track of qualified vs. unqualified churn.(00:07:30) - Understanding cohort-based churn and net revenue retention (NRR).(00:09:19) - How to interpret NRR and what benchmarks really mean.(00:13:35) - Why getting into segmented NRR is valuable.(00:16:30) - Churn is nuanced. If you are looking at a monthly churn number, you could be missing the bigger picture.(00:17:00) - If you collect cancellation reasons, you may miss the real reasons your customers are churning.(00:21:15) - How to conduct effective churn interviews (with participants who will actually attend) and the churn matrix: qualified/unqualified vs. activated/inactivated.(00:26:45) - What churn interviews can reveal: product confusion, missing features, poor product marketing.(00:27:30) - Product management issues that can come up in churn interviews.(00:31:15) - How to pre-select who to interview to give yourself the best chance of finding meaningful insights.(00:35:00) - Why churned customers are more talkative than trial users.(00:37:05) - What good churn research uncovers: acquisition, pricing, activation, product gaps.

In episode #297, Ben Murray tackles a common SaaS metrics question: How should reactivations be treated when calculating gross and net revenue retention (GRR & NRR)? Key takeaways: Reactivated customers (e.g., those who churned quickly but later update payment info) should not be included in new revenue — doing so skews CAC and CAC payback metrics. Gross Revenue Retention (GRR) only accounts for contraction and churn — reactivations don't belong here. Net Revenue Retention (NRR) is where reactivations should be recorded — they're essentially recovered revenue from existing customers. SaaS companies with high first-month churn (e.g., due to onboarding issues) may consider calculating an adjusted retention metric. Ben also highlights his new AI chatbot on TheSaaSCFO.com — trained on his blog content for instant SaaS finance answers. Level up your SaaS knowledge here: https://www.thesaasacademy.com/

What if your next wave of growth isn't about chasing new logos—but mining gold from the clients you already have? In this cepisode, CMO Courtney Baker challenges the traditional growth mindset with Knownwell's CEO David DeWolf and Chief Product and Technology Officer Mohan Rao. Together, they break down why net revenue retention (NRR) is the real growth lever, especially for professional services firms. They explore the inefficiencies of over-investing in new sales and reveal how failing to rigorously manage and measure existing relationships is holding companies back from true scalability and predictable growth. Meanwhile, Pete Buer dives into the latest AI in the Wild: Meta's audacious push toward artificial general intelligence, led by Scale AI's Alexander Wang. Is this the next paradigm shift or just Metaverse 2.0? And back by popular demand—it's the return of the AI Snake Draft! Courtney, David, and Mohan face off with their must-have AI tools for 2025. Which apps have become indispensable? Which tools are heading to the D-League? Find out who steals the draft with surprises, strategy, and a little smack talk. Plus, download the new Knownwell playbook for AI-powered strategies to scale your professional services firm: www.knownwell.com/scalingwhitepaper  Watch this episode on YouTube: https://youtu.be/N8b_AtMIM2E 

In episode #286 of SaaS Metrics School, Ben Murray breaks down one of the most common — and costly — mistakes SaaS founders and CFOs make when building their Monthly Recurring Revenue (MRR) schedules: netting contraction and expansion. This seemingly small error can break your ability to calculate key SaaS metrics like Gross Revenue Retention (GRR) and Net Revenue Retention (NRR). What You'll Learn: The essential structure of an accurate MRR waterfall schedule Why separating expansion, contraction, and churn is crucial for calculating SaaS metrics How to calculate GRR and NRR using distinct MRR layers Why trailing 3- and 6-month annualized retention rates offer deeper insights Pro tips on segmenting your MRR by product, ICP, or geography Who This Is For: SaaS founders, CFOs, FP&A leaders, and revenue ops teams looking to improve their SaaS financial reporting and ensure clean, actionable SaaS metrics that stand up to investor scrutiny. Resources Mentioned: Join Ben's private SaaS metrics community: https://www.thesaasacademy.com/offers/ivNjwYDx/checkout Subscribe to Ben's newsletter: https://mailchi.mp/df1db6bf8bca/the-saas-cfo-sign-up-landing-page Free SaaS Metrics Tools & Templates at TheSaaSCFO.com Enjoying the show? Please rate and review the podcast — it helps more SaaS professionals discover how to build better businesses with metrics that matter.

Guest: Eli Portnoy, Founder & CEO at BackEngineAs B2B SaaS companies scale, they often lose touch with the customers who got them there.In this episode, Eli Portnoy, founder and CEO of BackEngine, sits down with Ken Lempit to talk about the critical breakdown in customer feedback systems—and how generative AI can help leaders hear what really matters.We unpack: ✅ Why customer feedback loops break as SaaS companies grow✅ The hidden costs of misaligned feedback channels and weak ownership✅ How AI can synthesize 100% of customer interactions—without surveys✅ What separates elite SaaS companies from the rest when it comes to NRR and churn✅ Why CS leaders are uniquely positioned to become strategic feedback ownersEli also shares the story of losing his biggest customer before a major fundraise—and the moment he realized feedback was everyone's problem, but no one's job.If you're a CMO, CRO, or CS leader building a feedback-driven growth engine, this is a conversation you won't want to miss.---Not Getting Enough Demos? Your messaging could be turning buyers away before you even get a chance to pitch.

The CEO's Strategic Growth Edge: A Go-To-Market System That Scales“You don't need more leads—you need clarity. Clarity on where your business can grow the most, the fastest, and at the highest margin. That's what a real go-to-market system delivers. It's not about volume anymore—it's about alignment, focus, and making sure every team—marketing, sales, and customer success—is executing toward the same outcome. That's how CEOs scale with confidence.” That's a quote from Sangram Vajre, and a sneak peek at today's episode.Welcome to Revenue Boost: A Marketing Podcast. I'm your host, Kerry Curran—revenue growth expert, industry analyst, and relentless advocate for turning marketing into a revenue engine. Each episode, we bring you the strategies, insights, and conversations that help drive your revenue growth. So search for Revenue Boost in your favorite podcast directory and hit subscribe to stay ahead of the game.In The CEO's Strategic Growth Edge: A Go-to-Market System That Scales, I'm joined by bestselling author and GTM expert Sangram Vajre to discuss why go-to-market isn't a marketing tactic—it's a CEO-level growth system. In this episode, you'll learn the three phases every business must navigate to scale, why alignment beats activity in every growth stage, how CEOs can drive clarity, trust, and margin-focused decisions across teams, and why AI is only a threat if you're still riding the demand-gen horse.If you're a growth-minded CEO or exec, this episode gives you the roadmap and the mindset to scale faster, smarter, and stronger. Be sure to listen through to the end, where Sangram shares three key tips—his ultimate advice for any leader ready to level up their go-to-market strategy. Let's go!Kerry Curran, RBMA (00:00.77)So welcome, Sangram. Please introduce yourself and share a bit about your background and expertise.Sangram Vajre (00:06.992)Well, at the highest level, I feel like I've had the opportunity to be in the B2B space for the last two decades and have had a front-row seat to categories that have shaped how we think about go-to-market. I ran marketing at Pardot. We were acquired by ExactTarget and then Salesforce—that was a $2.7 billion acquisition. It was a huge shift in mindset, going from a $10 million company to a $10 billion one, and I learned a lot.I became a student of go-to-market, if you will. That was in the marketing automation space. Then I launched a company called Terminus, which has been acquired twice now. Along the way, I've written three books. The one we're going to talk a lot about is MOVE, which became a Wall Street Journal bestseller. That book has created a lot of opportunities and work for us.I walked into writing this book, Kerry, thinking I knew go-to-market because I had two $100M+ exits. But I walked out of the process a student of go-to-market because I learned so much. Writing it forced me to talk to folks like Brian Halligan, the CEO of HubSpot, and partners at VC firms who have seen 200 exits—not just the three I've experienced.It really expanded my vision. Now I lead a company called Go-To-Market Partners. We're a research and advisory firm focused on helping companies understand who owns go-to-market and how to run it at a transformational level. Our clients are primarily CEOs and executive teams. That's our focus.Kerry Curran, RBMA (01:46.094)Excellent. Well, I'm very excited to dive in. I first saw you speak at Inbound last fall, and what really resonated with me was the shift from just an ABM program to a company-wide GTM program—one that includes everything from problem-market fit all the way to customer success, loyalty, and retention. Really making GTM the core of revenue growth.So I'd love for you to dive in and share that framework and background.Sangram Vajre (02:23.224)Yeah. And by the way, for people who've never attended Inbound—you should. I've spoken there for eight years straight and always try to bring new ideas. Each year, they keep giving me more opportunities—from main stage to workshops. I think you attended the 90-minute workshop, right? Hopefully it wasn't boring!Kerry Curran, RBMA (02:48.61)Yeah, it was excellent. I love this stuff, so I was taking lots of notes.Sangram Vajre (02:52.814)That was fun. The whole idea was: how can you build your entire go-to-market strategy on a single slide? Now, people might think, “There's no way—you need way more detail.” But it's not about making it complete; it's about making it clear.So everyone can be aligned. For example, in the operating system we've developed, we write research about it every Monday in a newsletter called GTM Monday, read by 175,000 people. The eight pillars are based on the most important questions. And Kerry, I don't know if you'll agree, but I think I've done a disservice for two decades by asking the wrong question.Like, I used to ask, “Where can we grow?”—which sounds smart but is actually foolish. The better question is, “Where can we grow the most, the fastest, the best, at the highest margin?” That's the true business perspective. So the operating system is built around these eight essential questions.If every executive team can align on these—not with certainty, but with clarity—then they can gain a clear understanding of what they're doing, where they're going, who their ICP is, what bets they're making, and which motions to pursue. I've done this over a thousand times with executive teams, helping them build their entire go-to-market strategy on a single slide. And it's like a lightbulb moment for them: “Okay, now I know what bets we're making and how my team is aligned.” It's a beautiful thing.Kerry Curran, RBMA (04:50.988)Yeah, because that's one of the hardest challenges across business strategy and growth: where to invest, where to lean in. So bring us through the questions and framework.Sangram Vajre (05:01.688)Yeah. So the first one is “Where can you grow the most?” The second one is really about what we call the Market Investment Map. I'll give you maybe three or four so people can get an idea. The Market Investment Map is especially useful for companies with more than one product or more than one segment. This is the least used but most valuable framework companies should be using.You might remember from the Inbound talk—I used HubSpot as an example since I was speaking at Inbound. It's interesting because at my last company, Terminus, we acquired five companies in eight years. So we had to learn this process. The Market Investment Map is about matching your best segments to the best products to create the highest-margin offering.If your entire business focuses only on pipeline and revenue—which sounds right—you're actually focused on the wrong things. You may have seen people post on LinkedIn saying, “I generated $10 million in pipeline,” and then a month later, they're laid off. Why? Because that pipeline didn't matter. It might have been general pipeline, but if you looked at pipeline within your ICP—the customers your company really needs to close, retain, and expand—it might have only been half a million. That's not enough to sustain growth or justify your role.So, understanding the business is critical. It's not just about understanding marketing skills like demand gen, content, or design. Those are table stakes. You need to understand the business of marketing—how the financials work, how to drive revenue, and how to say, “Yeah, we generated $10 million in pipeline, but only half a million was within ICP, so it won't convert or drive the margin we need.” That level of EQ and IQ is what leaders need today.Our go-to-market operating system goes deep into areas like this.Kerry Curran, RBMA (07:31.022)And I love the alignment with the ICP. I'm sure you'll get deeper into that. I also know you talk about getting rid of MQLs because the real focus should be on getting closer to the ICP—on who's actually going to drive revenue.Sangram Vajre (07:45.892)Yeah. John Miller, a good friend who co-founded Marketo, has been writing about this too. I was the CMO of Pardot. Then we both built ABM companies—I built Terminus; he built Engagio, which is now part of Demandbase. We've been evangelizing the idea of efficient marketing machines for the last two decades.We're coming full circle now. That approach made sense in the “growth at all costs” era. But in this “efficient growth” era, everything can be measured. The dark funnel is real. AI can now accelerate your team's output and throughput. So we have to go back to first principles—what do your customers really want?I was in a discussion yesterday with executives and middle managers, and the topic of AI came up. Some were worried it would take their jobs. And I said, “Yes, it absolutely will—and it should.” I gave the example I wrote about recently: imagine you were the best horseman, with saddles, barns, and a generational business built around horses. Then Henry Ford comes along with four wheels. You just lost your job—not because you were bad, but because you got infatuated with the horse, not with your customer's need to get from point A to point B.Horses did that—it was better than walking. But then came cars, trains, airplanes. Business evolves. If you focus on your customers' needs—better, faster, cheaper—you'll always be excited about innovation rather than afraid of it. So yes, AI will replace anyone who stays on their horse. If you're riding the demand gen horse or relying only on content creation, a lot is going to change. Get off the horse, refocus on customer needs, and figure out how to move your business forward.Kerry Curran, RBMA (10:21.708)Yeah. So talk a bit about honing in on the ICP. I know in one of the sessions you asked, “Who's your target audience?” And of course, there was one guy in the front row who said, “Everyone,” and we all laughed. But I still hear that all the time. Talk about how important it is, to your point, to know your customer and get obsessed with what they need.Sangram Vajre (10:45.56)Yeah. So the first pillar of the go-to-market operating system is called TRM, or Total Relevant Market. We introduced that in the book MOVE for the first time. It's a departure from TAM—Total Addressable Market—which is what that guy in the front row was referring to during that session. It was epic, and I think he was a sales leader, so it was even funnier in a room full of marketers.But it's true—and real. He was being honest, and I appreciated that. The reality is, we've all been conditioned to focus on more and more—bigger and bigger markets. That makes sense if you have unlimited funds and can raise money. It makes sense if the market is huge and you're just trying to get in and have more people doing outbound.As a matter of fact, a few weeks ago, we did a session where someone said something profound that I'll never forget. He said, “The whole SDR function is a feature bug in the VC model.” That was fascinating—because the whole SDR model was built to get as many leads as possible, assign 22-year-olds to make cold calls, and push them to AEs.We built this because it worked on a spreadsheet. If we generate 1,000 leads, we need 50 callers to convert them. It's math. But nobody really tried to improve it because we had the money. Now we're in a different world. We have clients doing $10–15 million in revenue with five-person teams automating so much.People don't read as many automated emails. My phone filters out robocalls, so I never pick up unless it's someone I know. Non-personalized emails go into a folder I never open. Yet people keep sending thousands of them, thinking it works.For example, I send our GTM Monday newsletter via Substack. It's free for readers, and it's free for me to send—even to 175,000 people. Meanwhile, marketers spend thousands every time they email their list using legacy tools. Why? Because these people haven't opted in to be part of the journey the way Substack subscribers have.The market has changed. Buying big marketing automation tools for $100,000 is going to change drastically. Fractional leaders and agencies will thrive because what CEOs really need is people like you—and frameworks like a go-to-market operating system—to guide them. You and I have the gray hair and battle scars to prove it. What matters now is using a modern framework, implementing it, and measuring outcomes differently.Kerry Curran, RBMA (14:08.11)Yeah, you bring up such a valid point. In so many of my conversations, I see the same thing. It's been a sales-led growth strategy for years. Investments went to sales—more BDRs, more cold emails, more tech stack partners.Even as I was starting my consultancy, I'd talk to partners or prospects who'd say, “Well, we just hired more salespeople. We want to see how that goes.” But to your point, without the foundational framework—without targeting the right audience—you're just spinning your wheels on volume.Sangram Vajre (15:06.318)Exactly. One area we emphasize in our go-to-market operating system is differentiation. Everyone's doing the same thing. Let me give you an example. Last week, I looked at a startup's email tool that reads your emails and drafts responses automatically. Super interesting. I use Superhuman for email.Two days later, Superhuman sent an email saying they'd launched the exact same feature. So this startup spent time and money building a feature, and Superhuman—already with a huge user base—replicated and launched it instantly. That startup is out of business.With AI, product development is lightning fast. So product is no longer your differentiator. Your differentiation now is how you tell your story, how quickly you grab attention, how well you build and maintain a community. That becomes your moat. Those first principles matter more than ever. Product is just table stakes now.Kerry Curran, RBMA (16:33.878)Right. And connecting that to your marketing strategy, your communication, your messaging—it also sets up your sales team to close faster. By the time a prospect talks to a rep, your marketing has already educated them on your differentiation. So talk more about the stages and what companies need to keep in mind when applying your go-to-market framework.Sangram Vajre (17:07.482)One of the things we mention in the book—and go really deep into in our operating system—is this 3P format: Problem-Market Fit, Product-Market Fit, and Platform-Market Fit. We believe these are the three core stages of a business. I experienced them firsthand at Pardot, Salesforce, and Terminus through multiple acquisitions.If you remember, I always talk about the “squiggly line,” because no company grows up and to the right in a straight line. If you look at daily, weekly, or monthly insights, there are dips—just like a stock market chart. So the squiggly line shows you can go from Problem to Product, but you'll experience a dip. That's normal and natural. Same thing when you go from Product to Platform—you hit a dip. Those dips are what we call the “valleys of death.”Some companies overcome those valleys and cross the chasm, and others don't. Why? Because at those points, they discover they can market and sell, but they can't deliver. Or maybe they can deliver, but they can't renew. Or maybe they can renew but not expand. Each gap becomes a value to fix in the system.And it's hard. I've gone from $5 million to $10 million to $15 million, all the way to $100 million in revenue—and every 5 to 10 million increment brings a new set of challenges. You think you've got it figured out, and then you don't—because everything else has to change with scale.I'll never forget one company I was on the board of—unfortunately, it didn't make it. The CEO was upset because they were doing $20 million in revenue but didn't get the valuation they wanted. Meanwhile, a competitor doing only $5 million in revenue in the same space got a $500 million valuation. Why? Because the $20M company was doing tons of customization—still stuck in Problem-Market Fit. The $5M company had reached Product-Market Fit and was far more efficient. Their operational costs were lower, and their NRR was over 120%.If you've read some of my research, you know I'm all in on NRR—Net Revenue Retention—as the #1 metric. If you get NRR above 120%, you'll double your revenue in 3.8 years without adding a single new customer. That's what executives should focus on.That's why we say the CEO owns go-to-market. All our research shows that if the CEO doesn't own it, you'll have a really hard time scaling.Kerry Curran, RBMA (20:23.992)That makes so much sense, because everything you're talking about—while it includes marketing functions—is really business strategy. It needs to be driven top-down. It has to be the North Star the whole company is paddling toward.I've been in organizations where that's not the case. And as you said, leadership has to have the knowledge and strategic awareness to navigate those pivots—those valleys of death. So talk about how hard it is to bring new frameworks into an organization and the change management that comes with that. As you evangelize the idea that the CEO owns GTM, what's resonating most with them?Sangram Vajre (21:26.456)Great question. First of all, CEOs who get it—they love it. The people who struggle most are actually CMOs and CROs because they feel like they should be the ones owning go-to-market. And while their input is critical, they can't own it entirely.In all our advisory work, Kerry, we mandate two things:The CEO must be in the room. We won't do an engagement without that. The executive team must be involved. We don't do one-on-one coaching—because transformation happens in teams.People often get it wrong. They think, “We need better ICP targeting, so that's marketing's job.” Or, “We need pipeline acceleration—let sales figure that out.” Or, “We have a retention issue—fire the CS team.” No. The problem isn't a department issue—it's a process and team issue.The CEO is the most incentivized person to bring clarity, alignment, and trust—the three pillars of our GTM operating system. They're the ones sitting in all the one-on-one meetings, burning out from the lack of alignment. The challenge is most CEOs don't know what it means to own GTM. It feels overwhelming.So we help them reframe that. Owning doesn't mean running GTM. It means orchestrating clarity, alignment, and trust. Every meeting they lead should advance one of those. That's the job. When the ICP is agreed upon, marketing should be excited to generate leads for it. Sales should be eager to follow up. CS should be relieved they're not getting misaligned customers. That's leadership. And there's no one more suited—or incentivized—to lead that than the CEO.Kerry Curran, RBMA (24:08.11)Absolutely. And the CFO plays a key role too—holding the purse strings, understanding where the investments should go.Sangram Vajre (24:20.622)Yes. In fact, in the book and in our research, we emphasize the importance of RevOps—especially once a company reaches Product-Market Fit and moves toward Platform-Market Fit.If you're operating across multiple products, segments, geographies, or using multiple GTM motions, the RevOps leader—who often reports to the CFO or CEO—becomes critical. I'd say they're the second most important person in the company from a strategy standpoint.Why? Because they're the only ones who can look at the whole picture and say, “We don't need to spend more on marketing; we need to fix the sales process.” A marketing leader won't say that. A sales leader won't say that. You need someone who can objectively assess where the real bottleneck is.Kerry Curran, RBMA (25:17.836)Yeah, that definitely makes so much sense. Are there other areas—maybe below the executive team—that help educate the company from a change management perspective to gain buy-in? Or is it really a company-wide change?Sangram Vajre (25:33.742)Yeah, you mentioned ABM earlier. Having written a few books on ABM and building Terminus, we've seen thousands of companies go through transformation. We now have over 70,000 students who've gone through our courses. I love getting feedback.What's interesting is that ABM has been great for aligning sales and marketing—but it hasn't transformed the company. Go-to-market is not a marketing or sales strategy. It's a business strategy. It has to bring in CS, product, finance—everyone.Where companies often fail is by looking at go-to-market too narrowly—like it's just a product launch or a sales campaign. That's way too myopic. Those companies burn a lot of cash.At the layer below the executive team, it gets harder because GTM is fundamentally a leadership-driven initiative. An SDR, AE, or director of marketing typically doesn't have the incentive—or business context—to drive GTM change. But they should get familiar with it.That's why we created the GTM Operating System certification. Hundreds of professionals have gone through it—including you! And now people are bringing those frameworks into leadership meetings.They'll say, “Hey, let's pull up the 15 GTM problems and see where we're stuck.” Or, “Let's revisit the 3 Ps—where are we today?” Or use one of the assessments. It's pretty cool to see it in action.Kerry Curran, RBMA (27:35.758)Yeah, and it's extremely valuable. I love that it's a tool that helps drive company-wide buy-in and educates the people responsible for the actions. So you've shared so many great frameworks and recommendations. For those listening, what's the first step to get started? What would you recommend to someone who's thinking, “Okay, I love all of this—I need to start shifting my organization”?Sangram Vajre (28:09.082)First, you have to really understand the definition of go-to-market. It's a transformational process—not a one-and-done. It's not something you define at an offsite and then forget. It's not owned by pirates. It's iterative. It happens every day.Second, the CEO has to be fully bought in. If they don't own it, GTM will run them. If you're a CEO and you feel overwhelmed, that's usually why—you're running go-to-market, not owning it.Third, business transformation happens in teams. If you try to build a GTM strategy in a silo—as a marketer, for example—it will fail. The best strategies never see the light of day because the team isn't behind them. In GTM, alignment matters more than being right.Kerry Curran, RBMA (29:27.982)Excellent. I love this so much. Thank you! How can people find you and learn more about the GTM Partners certification and your book?Sangram Vajre (29:37.476)You can go to gtmpartners.com to get the certification. Thousands of people are going through it, and we're constantly adding new content. We're about to launch Go-To-Market University to add even more courses.We also created the MOVE Book Companion, because we're actually selling more books now than when it first came out three years ago—which is crazy!Then there's GTM Monday, our research newsletter that 175,000 people read every week. Our goal is to keep building new frameworks and sharing what's possible. Things are changing so fast—AI, GTM tech, everything. But first principles still apply. That's why frameworks matter more than ever.You can't just ask ChatGPT to “give me a go-to-market strategy” and expect it to work. It might give you something beautifully written, but it won't help you make money. You need frameworks, team alignment, and process discipline.And I post about this every day on LinkedIn—so follow me there too!Kerry Curran, RBMA (30:54.988)Excellent. Well, thank you so much. This has been a great conversation, and I highly recommend the book and the certification to everyone. We'll include all the links in the show notes.Thank you, Sangram, for joining us today!Sangram Vajre (31:09.284)Kerry, you're a fantastic host. Thank you for having me.Kerry Curran, RBMA (31:11.854)Thank you very much.Thanks for tuning in to Revenue Boost: A Marketing Podcast. I hope today's conversation sparked some new ideas and challenged the way you think about how your organization approaches go-to-market and revenue growth strategy. If you're serious about turning marketing into a true revenue driver, this is just the beginning. We've got more insightful conversations, expert guests, and actionable strategies coming your way—so search for us in your favorite podcast directory and hit subscribe.And hey, if this episode brought you value, please share it with a colleague or leave a quick review. It helps more revenue-minded leaders like you find our show. Until next time, I'm Kerry Curran—helping you connect marketing to growth, one episode at a time. See you soon.

This week's guest was a New Orleans kid whose life changed overnight when Hurricane Katrina struck. After being separated from his Mother/Brother for 2 months, he reunited with them as they began their new life in Houston. He took a first job at Church's Chicken at 14 to help pay the bills, then later held other roles leading up to studying Mass Communications/Media Studies at Stephen F. Austin. Now, he is on the GTM team at Lumopath, the AI coach that increases NRR and efficiency. This week's guest is the Heart of Houston Texas, Mr. Jamal Hamilton. In this week's episode, we discussed:Jamal's Hurricane Katrina survival story and getting his first job at 14How an accidental sales call led to his career-changing tech opportunityHis cold calling philosophy: conversations over bookingsWorking across different startup stages and his AI work at Luma PathMental health importance in high-stress sales careersPlease enjoy this week's episode with Jamal Hamilton.____________________________________________________________________________I am now in the early stages of writing my first book! In this book, I will be telling my story of getting into sales and the lessons I have learned so far, and intertwine stories, tips, and advice from the Top Sales Professionals In The World! As a first time author, I want to share these interviews with you all, and take you on this book writing journey with me!Like the show? Subscribe to the email: https://mailchi.mp/a71e58dacffb/welcome-to-the-20-podcast-communityI want your feedback!Reach out to 20percentpodcastquestions@gmail.com, or find me on LinkedIn.If you know anyone who would benefit from this show, share it along! If you know of anyone who would be great to interview, please drop me a line!Enjoy the show!

#updateai #customersuccess #saas #businessRimple Patel, Chief Customer Officer at Eightfold.ai, joins host Josh Schachter, Co-Founder & CEO of UpdateAI, as she walks us through her strategic approach to leadership, including evaluating teams, aligning missions, and fostering a customer-first culture. Josh and Rimple also explore the role of AI in scaling business processes, covering innovations like agentic AI and AI recruiters while emphasizing the irreplaceable human element in the workplace. Finally, Rimple shares her insights on driving GRR and NRR growth at Eightfold and her strategy for scaling the company.Timestamps00:00 - Preview & Intros01:35- Overview of Eightfold.ai04:30 - AI in Talent Management08:00 - Rimple's Journey, Career Path & Industry Experience17:43 - Challenges & Insights from Her Role as CCO 20:03 - Evaluating Leadership, Talent, and Cultural Shifts 21:05 - Building a Customer-First Value System 22:09 - Team Principles & Leadership Accountability28:50 - Customer Segmentation & Health Assessment Strategies 31:13 - Revamping Customer Health Assessment33:05 - Yearly Growth Strategy: Stabilize, Scale, Soar___________________________

SaaStr 790: AI at Scale: 8 Learnings from monday.com Co-Founder and Co-Ceo Eran Zinman and SaaStr CEO and Founder Jason Lemkin Join us for an inspiring conversation with monday.com co-CEO and Co-Founder Eran Zinman and SaaStr CEO and Founder Jason Lemkin. From humble beginnings at $10 million ARR in 2017 to smashing the $1 billion ARR mark in just eight years, Eran shares their journey, challenges, and strategies that have fueled their remarkable growth. Discover the importance of customer diversity, maintaining NRR and GRR levels, leveraging AI for business efficiencies, and the impact of adopting a multi-product approach. Learn how monday.com effectively manages SMB, mid-market, and enterprise customers, and gain valuable insights into the future of AI in SaaS solutions. Perfect for SaaS founders and tech enthusiasts looking for proven strategies to scale their businesses.   ----------------------   Alright everybody in SaaS, this is it.  The biggest, best, most action-packed SaaS + AI event of the year—SaaStr Annual 2025—is coming this May. Three full days. 10,000+ SaaS and AI leaders and more tactical, no-fluff content than you'll find anywhere else.   If you want to scale faster—$10M, $50M, $100M ARR and beyond—you need the right playbooks, the right connections and the right people in your corner. And SaaStr Annual is where it all happens. We'll have 100's of Legendary speakers from companies like Snowflake, HubSpot, OpenAI, Canva, and more. More networking than you can handle—meet your next investor, co-founder, or biggest deal.  A New AI Demo & Pitch Stage— with your chance to win up to $5M in funding!  So don't wait—grab your tickets now at SaaStrAnnual.com with my code jason100 to save $100 on tickets before prices go up. That's jason 100 at saastrannual.com   See you in May!    --------------------------------------------------------------------------------------------   Do you know what would make your customer service helpdesk dramatically better? Dumping it and switching to Intercom.  But, youʼre not quite ready to make that change. We get it!   Thatʼs why Fin, the worldʼs leading AI customer service agent, is now available on every helpdesk.   Fin can instantly resolve up to 80% of your tickets,  Which makes your customers happier. And you can get off the customer service rep hiring treadmill.   Fin by Intercom. Named the #1 AI Agent in G2ʼs Winter Report.      Learn more at : inter.com/saastr   --------------------------------------------------------------------------------------------

What if poor financial management was the biggest risk to your SaaS business—not your competitors or even AI? In this episode of SaaS Fuel, host Jeff Mains sits down with Dan DeGolier, founder of Ascent CFO Solutions, to dive deep into the financial strategies that separate thriving SaaS companies from those constantly struggling with cash flow, compliance, and scalability.If you're a SaaS founder, CFO, or executive looking to improve financial efficiency, cash flow visibility, and revenue recognition, this episode is packed with actionable insights you don't want to miss!Key Takeaways00:00 – Introduction: The biggest financial risks SaaS founders face02:45 – Why cash flow management can make or break your business06:20 – Revenue recognition: What SaaS founders need to know10:30 – When to hire a fractional CFO vs. a full-time CFO15:00 – Building financial systems right the first time20:20 – The biggest financial mistakes SaaS companies make25:40 – Metrics that matter: MRR, ARR, CAC, and more30:15 – Capital-efficient growth: Why it's replacing “growth at all costs”35:50 – Preparing for fundraising, M&A, or an exit40:00 – Financial forecasting & risk management45:20 – Next steps: How to optimize your SaaS financial strategy todayTweetable Quotes

SaaStr 787: 10 Ways Sales is Different in Vertical SaaS with Mangomint's VP of Sales Marchelle Mooney While some might dismiss sector-specific vertical SaaS software as ‘too small' or ‘too niche', companies like Veeva ($40B), Clio ($3B), Toast ($1.3B), and Slice ($1B) have proven there's massive value in going deep rather than broad. Mangomint has quietly built an impressive vertical SaaS business in the spa and salon space, growing 100% year-over-year to approach $20M ARR with 110% NRR. So we asked Mangomint's VP of Sales Marchelle Mooney to share 10 ways sales is different in vertical SaaS. Marchelle's personal journey took her from early adopter of Mangomint, to 6 years later, VP of Sales over a 25+ person SMB sales team. Here's some of what she's learned along the way. -------------------------------------------------------------------------------------------- SaaStr hosts the largest SaaS community events on the planet. Hey everybody - thanks to the 10,000 of you who came out to SaaStr Annual. We had a blast and big news -- we'll be back in MAY of 2025. That's right, the SaaStr Annual will be a bit earlier next year, May 13-15 2025. We'll still be back in the same venue, in the SF bay area at the 40+ acre sprawling san mateo county events center. Grab your tickets at saastrannual.com with code JASON50 for an extra discount on our very best pricing. --------------------------------------------------------------------------------------------   

#updateai #customersuccess #saas #business Kristi Faltorusso (CCO, Client Success) and Josh Schachter (Founder & CEO, UpdateAI) are joined by an insightful guest, Ozge Ozcan, Chief Customer Officer at Forter, to dive into the intricacies of customer experience optimization in the evolving world of e-commerce. Ozge shares her wealth of knowledge on navigating the delicate balance between growth and retention, highlighting the company's transition toward a strategy centered on expansion and profitability. Timestamps: 0:00 - Preview, BS, & Intros 2:00 - Forter's services and impact 7:35 - Ozge's role in hiring and facilitating career transitions 12:51 - The downside of focusing solely on churn 17:25 - Cross-segment strategies and mindset shifts 20:15 - Establishing and managing a churn budget 28:30 - Tackling the "happy ears" problem 35:43 - Prioritizing customer signals 38:40 - Planning for the new year and beyond ___________________________

SaaStr 777: The Rise of Vertical SaaS: Achieving 110% NRR from SMBs with Mangomint's CEO Join SaaStr CEO and Founder, Jason Lemkin, and CEO of Mangomint, Daniel Lang, as they dive into the booming world of vertical SaaS. Discover why software tailored for niche industries like salons and spas is gaining traction. Daniel shares insights on the evolution of salon software, the impact of embedded financial services, and the challenges and strategies around customer onboarding and retention. Learn about Mangomint's impressive growth and the importance of automation and AI in small business operations. This episode is packed with valuable takeaways for SaaS enthusiasts and entrepreneurs. -------------------------------------------------------------------------------------------- SaaStr hosts the largest SaaS community events on the planet. Hey everybody - thanks to the 10,000 of you who came out to SaaStr Annual. We had a blast and big news -- we'll be back in MAY of 2025. That's right, the SaaStr Annual will be a bit earlier next year, May 13-15 2025. We'll still be back in the same venue, in the SF bay area at the 40+ acre sprawling san mateo county events center. Grab your tickets at saastrannual.com with code NOVEMBER20 for an extra discount on our very best pricing. --------------------------------------------------------------------------------------------  This episode is sponsored by: mmhmm.app Build client relationships faster with mmhmm, the app that helps you impress prospects in every meeting. Create and send recordings that help them get to know you. Try it free on Mac and Windows at mmhmm.app. That's M-M-H-M-M dot app --------------------------------------------------------------------------------------------

In this episode, Colion Noir sits down with Shermichael Singleton and John Keys, the dynamic duo behind Guns Out TV, to discuss the evolution of gun culture in America, especially with social media.They dive into the challenges of changing public perceptions about firearms and the importance of responsible gun ownership in diverse communities.With social media being so impactful yet so resistant to guns, they go through the question of whether social media is helping or hurting gun ownership, gun culture, and the Second Amendment. Don't miss this podcast episode! Before you comment your thoughts, I want to let you know that my favorite in-ear Wireless Bluetooth hearing protection, the Blackouts, is available again:  ➡️ https://bit.ly/3wnUOPf  These incredible things allow you to listen to music, take phone calls, have active noise cancelation, and hear through technology that allows you to still hear the world around you all while still protecting your hearing with a certified NRR rating of 25!  Get them here before they're sold out again.  ➡️ https://bit.ly/3wnUOPf  NEW Need Money For Pew Pew Collection  ➡️ https://bit.ly/3sI8qDE   

In this explosive episode of the Colion Noir Podcast, Colion Noir takes on fierce anti-gun proponents from a New Yorker and a Brit who argue that guns & the Second Amendment are the problem in America when it comes to violence with a gun.This debate pulls no punches, as Chrystal Saint-Clair from London dives straight into how, globally, the U.S. is painted as a war zone simply because of the Second Amendment.She even debates if tourists should come and get a gun first, and Colion Noir's answer shocks them!Being from London, she debates that while knives are a threat, they substantially pose a lesser risk than guns when it comes to fatalities because you can outrun a knife, but you can't outrun a bullet.They also debate that guns have a much higher risk of unintentionally killing other people who aren't the intended target of the violence.Beverly from New York teams up with the Brit to debate Colion that there is no reason for needing guns outside your home, and actually, what's wrong with banning ALL guns?  They also have a heated debate about how Countries are doing perfectly fine without guns.They are shocked to find out that proponents of the Second Amendment actually think they can take on a modern government.Tune in to hear Colion expose the flaws in anti-gun logic and stand up for the freedoms that make America unique.This episode is a must-listen for anyone who values their right to bear arms and wants to hear a real discussion with opposing sides if Guns are the problem in America.Before you comment your thoughts, I want to let you know that my favorite in-ear Wireless Bluetooth hearing protection, the Blackouts, is available again:  ➡️ https://bit.ly/3wnUOPf  These incredible things allow you to listen to music, take phone calls, have active noise cancelation, and hear through technology that allows you to still hear the world around you all while still protecting your hearing with a certified NRR rating of 25!  Get them here before they're sold out again.  ➡️ https://bit.ly/3wnUOPf  NEW Need Money For Pew Pew Collection  ➡️ https://bit.ly/3sI8qDE   

In this episode, Colion Noir sits down with Michelle Viscusi, a competitive shooter and former Army National Guard member. Michelle shares her journey from enlisting in the military to becoming a top competitor in the world of professional shooting sports. They discuss her experiences on the range, the challenges of balancing a public persona with personal life, and the importance of advocating for the Second Amendment. Join Colion and Michelle for an insightful conversation that dives deep into the world of firearms, competition, and the passion that drives it all.Before you comment your thoughts, I want to let you know that my favorite in-ear Wireless Bluetooth hearing protection, the Blackouts, is available again:  ➡️ https://bit.ly/3wnUOPf  These incredible things allow you to listen to music, take phone calls, have active noise cancelation, and hear through technology that allows you to still hear the world around you all while still protecting your hearing with a certified NRR rating of 25!  Get them here before they're sold out again.  ➡️ https://bit.ly/3wnUOPf  NEW Need Money For Pew Pew Collection  ➡️ https://bit.ly/3sI8qDE   

Javier Garcia is the co-owner of HTX Tactical, a firearms and tactical gear store based in Houston, Texas. HTX Tactical, founded in 2015, specializes in custom firearms, particularly AR-15s and Glock handguns. Javier Garcia has gained attention for creating unique, themed firearms, such as the Whataburger-themed AR pistol, which garnered significant media coverage. He is known for his innovative approach to custom firearm designs and has also worked on other notable projects, including custom firearms for celebrities and themed weapons for enthusiasts.Before you comment your thoughts, I want to let you know that my favorite in-ear Wireless Bluetooth hearing protection, the Blackouts, is available again:  ➡️ https://bit.ly/3wnUOPf  These incredible things allow you to listen to music, take phone calls, have active noise cancelation, and hear through technology that allows you to still hear the world around you all while still protecting your hearing with a certified NRR rating of 25!  Get them here before they're sold out again.  ➡️ https://bit.ly/3wnUOPf  NEW Need Money For Pew Pew Collection  ➡️ https://bit.ly/3sI8qDE   

In this episode, we sit down with a former ATF Firearms Enforcement Officer to uncover the hidden truths and behind-the-scenes stories of the Bureau of Alcohol, Tobacco, Firearms, and Explosives. Get ready for an eye-opening conversation as we delve into the complexities of firearm regulations, the real impact of gun laws, and the challenges faced by law enforcement in the field. Discover what it's really like to work inside the ATF, the controversial cases, and the surprising revelations in the world of firearms and public safety. Join us as we explore the untold stories and insights from a seasoned expert who has seen it all from the inside. Don't miss this fascinating journey into the world of the ATF and its role in shaping America's gun laws from an insider's perspective.Before you comment your thoughts, I want to let you know that my favorite in-ear Wireless Bluetooth hearing protection, the Blackouts, is available again:  ➡️ https://bit.ly/3wnUOPf  These incredible things allow you to listen to music, take phone calls, have active noise cancelation, and hear through technology that allows you to still hear the world around you all while still protecting your hearing with a certified NRR rating of 25!  Get them here before they're sold out again.  ➡️ https://bit.ly/3wnUOPf  NEW Need Money For Pew Pew Collection  ➡️ https://bit.ly/3sI8qDE   

In this episode of the Colion Noir podcast, Colion sits down with Jerah Hutchins, a seasoned firearms instructor, entrepreneur, and passionate advocate for the Second Amendment. With over 30 years of shooting experience, Hutchins shares her journey into the world of firearms.Hutchins discusses her work with Clearing the Chamber, a company she founded to promote responsible gun ownership and personal defense training. She delves into the motivation behind her nonprofit, Women's Awareness & Defense Endeavor (W.A.D.E.), which offers free self-defense training to single mothers, low-income women, and survivors of domestic violence.Listeners will gain insight into Hutchins's advocacy efforts, including her testimony at local and national levels in support of gun rights. She also talks about the unique workshops she has developed for women, such as “How to Protect What You're Expecting” and “Prepare in What You Wear,” which aim to empower women through education and practical skills.The conversation also touches on the broader implications of gun rights and personal safety in today's society, highlighting the importance of the Second Amendment and responsible gun ownership. With her direct and passionate approach, Hutchins offers a thought-provoking perspective on self-defense and women's empowerment.Before you comment your thoughts, I want to let you know that my favorite in-ear Wireless Bluetooth hearing protection, the Blackouts, is available again:  ➡️ https://bit.ly/3wnUOPf  These incredible things allow you to listen to music, take phone calls, have active noise cancelation, and hear through technology that allows you to still hear the world around you all while still protecting your hearing with a certified NRR rating of 25!  Get them here before they're sold out again.  ➡️ https://bit.ly/3wnUOPf  NEW Need Money For Pew Pew Collection  ➡️ https://bit.ly/3sI8qDE