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    Technology

    Sub Club by RevenueCat

    Interviews with the experts behind the biggest apps in the App Store. Hosts David Barnard and Jacob Eiting dive deep to unlock insights, strategies, and stories that you can use to carve out your slice of the ‘trillion-dollar App Store opportunity’.

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    Copyright: © 2023 RevenueCat

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    Latest Episodes:
    Why Web Onboarding Should Sell The Problem, Instead Of The Solution – Leon Sasson, Rise Science Mar 05, 2026
    Show notes

    On the podcast: why web onboarding should sell the problem instead of the solution, how discounted paid trials are beating free trials, and why creative that flopped for app ads might crush it for web funnels.

    This conversation is shorter than usual and will be featured in RevenueCat’s State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.


    Top Takeaways:


    🎯Web funnels should sell the problem, not the solution
    App onboarding works by rushing users to an "aha moment" because they already want a solution. Web audiences are higher in the consideration phase, so effective web funnels go deeper on helping users recognize and personalize the problem before introducing the product.

    💰Discounted paid trials outperform free trials on web
    Rise found that offering a heavily discounted first month instead of a free trial improves both conversion quality and ad optimization. Free trials often attract users who cancel immediately, polluting the signal that ad platforms use to find high-value customers.

    🎨Creative that flops on app campaigns can crush it on web, and vice versa
    Web funnels attract a different audience than app install campaigns, often older and more e-commerce minded. Rise runs creative across both channels separately and regularly finds winners on one side that failed on the other, effectively doubling the chances of finding a hit from every creative concept.


    About Leon Sasson:

    🚀 Leon is Co-Founder and CTO at Rise Science. RISE is the first energy management app that makes it easy to improve your sleep and daily energy to reach your potential.

    👋 LinkedIn


    Follow us on X:

    • David Barnard - @drbarnard
    • Jacob Eiting - @jeiting
    • RevenueCat - @RevenueCat
    • SubClub - @SubClubHQ


    Episode Highlights:

    [0:00] Introduction to Leon Sasson, Co-Founder & CTO at Rise Science
    [1:05] Leon discusses the evolution of web funnels and their unique challenges
    [2:10] The difference between app onboarding and web onboarding strategies
    [3:15] How Leon’s team pivoted to improve web funnels and found success
    [4:25] The shift in consumer behavior: Web audiences vs. app users
    [5:50] Insights on why discounted paid trials work better than free trials on the web
    [7:00] Balancing the user experience with a smooth billing process
    [8:20] How to test and optimize creatives for both web and app funnels
    [9:35] Leon’s approach to personalizing funnels based on user personas
    [10:40] Lessons learned from handling subscription billing outside Apple’s ecosystem [11:55] The future of hybrid monetization and web/app funnel strategies
    [12:30] Closing thoughts on evolving marketing and product strategies through testing and iteration


    Dynamic Paywalls That Drove Millions in New Revenue – Shawn Gong, Tinder Mar 04, 2026
    Show notes

    On the podcast: how Tinder's ML-powered paywalls drove millions in new revenue, the art of selling features à la carte without killing subscription revenue, and why Tinder Select flopped despite users saying they'd pay for it.


    This conversation is shorter than usual and will be featured in RevenueCat’s State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.


    Top Takeaways:

    🤖Users need fewer options, not more
    Decision overload kills conversion. Tinder saw multimillion-dollar annual revenue gains by using ML to predict and surface the single best product for each user instead of showing every tier and plan at once.


    🎯Anchor a la carte prices to subscriptions to prevent cannibalization

    Unbundling features can capture non-subscribers, but pricing too low steals from subscription revenue. Tinder priced its standalone Passport feature equal to the weekly equivalent of a full-featured subscription, making the subscription the obvious better deal.

    🧠 Design for emotional decisions, not logical ones
    Users don't read every feature comparison and weigh their options rationally. They decide in seconds based on feeling. Observe how users actually behave, not how you assume they should, and build your purchase flows around that.


    About Shawn Gong:

    🚀 Product Growth & Monetization at Tinder, the world's most popular dating app, with over 55 billion matches made across 190+ countries since launching in 2012.

    👋 LinkedIn


    Follow us on X:

    • David Barnard - @drbarnard
    • Jacob Eiting - @jeiting
    • RevenueCat - @RevenueCat
    • SubClub - @SubClubHQ


    Episode Highlights:
    [0:00] Introduction to Shawn Gong, Product Leader in Monetization & Growth at Tinder
    [1:05] The challenge of decision overload and how Tinder tackled it with dynamic pricing
    [2:47] How machine learning helps Tinder predict and serve the right product for each user
    [4:25] Simplifying user choices: Reducing overwhelming options for better conversion
    [5:48] Shifting from static to dynamic pricing: The role of AI in optimizing Tinder’s paywall
    [7:06] A/B testing the dynamic pricing model: How Tinder validated the ML model's effectiveness
    [8:12] Unbundling features like Passport mode: Meeting specific user needs without subscriptions
    [9:33] The impact of pricing changes on conversion rates and subscription cannibalization
    [10:57] Long-term retention metrics: Measuring the success of dynamic pricing beyond just revenue
    [12:00] Tinder Select: Lessons from launching a high-end tier and why it didn’t work
    [13:18] The importance of aligning product offerings with user emotions for better decision-making
    [14:25] How Tinder continues to optimize pricing strategies through iterative testing and learning
    [15:48] Shawn’s advice for startup founders: Focus on retention and building better product decision design



    The Hidden Cost of Underpricing Your Subscription – Patrick Rills, Lose It! Mar 03, 2026
    Show notes

    On the podcast: testing prices from $5 all the way to $120 per year, why rising CACs forced a pricing rethink, and how raising the price allows them to discount more aggressively.


    This conversation is shorter than usual and will be featured in RevenueCat’s State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.


    Top Takeaways:

    💰 Retest prices you've already ruled out
    Market conditions shift constantly. A price point that couldn't beat the control for years can suddenly break even as competitors raise prices and consumer expectations change.

    📈A higher base price unlocks more aggressive discounting Going from $40 to $80 creates room for steeper percentage discounts that drive higher conversion, even when the absolute dollar price is still higher.

    🔒Rising CACs demand pricing that funds acquisition At $40/year, paid UA math barely worked. Doubling the price gave the marketing team room to compete on acquisition channels where costs keep climbing.



    About Patrick Rills:

    🚀 Chief Product & Technology Officer at Lose It!, the app-based weight loss program mobilizing the world to achieve a healthy weight.

    👋 LinkedIn


    Follow us on X:

    • David Barnard - @drbarnard
    • Jacob Eiting - @jeiting
    • RevenueCat - @RevenueCat
    • SubClub - @SubClubHQ


    Episode Highlights:
    [0:00] Introduction to Patrick Rills, Chief Product & Technology Officer at Lose It!
    [1:05] How pricing changes unlocked new growth opportunities at Lose It!
    [2:12] Balancing customer acquisition costs (CAC) with retention through pricing strategy
    [3:25] Key insights from years of price testing, ranging from $5 to $120 per year
    [4:42] Raising prices to enable deeper discounting and improve conversions
    [5:58] Aligning product value with pricing to retain loyal users
    [7:06] The role of the freemium model in keeping users engaged after price increases
    [8:02] Using smart pricing and AI to drive growth
    [9:14] Leveraging data to fine-tune pricing decisions
    [10:27] How customer feedback and product data shape pricing strategies
    [11:38] Challenges and benefits of raising prices for an established product
    [12:33] Future plans for pricing tiers and new monetization strategies
    [13:18] Patrick shares iOS developer hiring opportunities at Lose It!
    [13:41] Final thoughts on driving sustainable growth and user value


    How Clarity and Personalization Help Drive Duolingo’s Growth – Anmol Tiwari, Duolingo Mar 02, 2026
    Show notes

    On the podcast: how Duolingo prioritizes clarity over persuasion on their paywalls, why they offer users multiple free trials instead of just one, and how adding friction to their trial reminder flow actually boosted conversions.

    This conversation is shorter than usual and will be featured in RevenueCat’s State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.


    Top Takeaways:

    🎯 Prioritize clarity over persuasion on your paywalls
    Show users a timeline of exactly what happens during their trial, when they'll be charged, and how refunds work. Duolingo found that removing uncertainty about the purchase process drives more conversions than trying to sell harder.


    ⚡Shorter trials compound experimentation velocity

    Cutting their free trial from 14 days to 7 doubled Duolingo's experimentation velocity. Faster feedback loops let the team kill losing tests sooner and run significantly more experiments per quarter.

    🔬Adding friction to trial reminders can boost conversions
    Duolingo tested letting users pick which day they get their expiration reminder. The extra step signaled transparency, built trust that they wouldn't be surprised by a charge, and gave them time to experience real value before deciding.


    About Anmol Tiwari:

    🚀 Director of Product Management at Duolingo, the world's most popular way to learn a language.

    👋 LinkedIn

    🖥️Carers at Duolingo

    Follow us on X:

    • David Barnard - @drbarnard
    • Jacob Eiting - @jeiting
    • RevenueCat - @RevenueCat
    • SubClub - @SubClubHQ


    Episode Highlights:
    [0:00] Introduction to Anmol Tiwari, Director of Product at Duolingo
    [1:05] Anmol discusses Duolingo’s focus on clarity in free trials and product offerings
    [2:10] How transparency in trial terms and refunds builds confidence and boosts conversions
    [3:45] The benefits of shorter trials for faster experimentation and better user engagement
    [5:10] Why Duolingo offers multiple trials to cater to different user life stages
    [6:30] Using machine learning to personalize subscription offers and in-app ads
    [7:40] How Duolingo uses contextual paywalls to increase conversions
    [8:50] Regional differences in trial strategies, especially in markets like China
    [10:10] The impact of "free tastes" and trial-like experiences in premium tiers
    [11:30] Using timers and reward-based copy to clearly communicate trial benefits
    [13:00] How Duolingo reduces day-zero cancellations and builds trust with users
    [14:15] Personalizing paywalls based on individual user behavior
    [15:30] Experimenting with new creative strategies to promote subscriptions
    [16:40] The role of AI in optimizing engagement and conversions
    [17:50] Understanding global trial preferences, particularly in China
    [19:10] How trust drives conversions and prevents cancellations
    [19:55] Closing thoughts on how transparency, experimentation, and personalization fuel growth


    How Mojo Increased ARPU 60% In Just Five Months – Michal Parizek, Mojo Mar 01, 2026
    Show notes

    On the podcast: the experiments behind Mojo's 60% lift in ARPU, why a winning paywall in Japan completely failed in the US, and why not relying on day one for most of your revenue is actually a strength.


    This conversation is shorter than usual and will be featured in RevenueCat’s State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.


    Top Takeaways:


    🌍Show free users a paywall every week after onboarding
    Triggering a paywall on app open once per week for free users drove 15% of new revenue with no backlash. The more generous your free tier, the more users tolerate the ask.


    💪A winning paywall in one region can completely fail in another

    A long, detail-rich paywall lifted revenue 20% in Japan but flopped in the US, where cleaner designs with punchy copy outperformed. Always retest winners in each market before rolling out globally.

    ⚡Experiment velocity is a huge unlock for revenue optimization
    Running parallel paywall tests across geo segments on a weekly cadence compounds gains fast. More iterations mean shorter feedback loops, faster learning, and fewer months leaving revenue on the table.


    About Michal Parizek

    🚀 Senior Growth Product Manager at Mojo, a mobile-first content creation platform that empowers businesses and creators to produce professional, animated social media content in minutes.


    👋 LinkedIn

    Episode Highlights:
    [0:00] Introduction to Michal Parizek, Senior Growth Product Manager at Mojo
    [1:02] How Mojo achieved a 60% increase in average revenue per user
    [2:16] The impact of paywall design experiments on Mojo's revenue
    [3:31] Why the same paywall design worked in Japan but failed in the US
    [4:45] Mojo’s global pricing strategies and the role of regional differences
    [5:45] How Mojo optimized early revenue with the 7-day ARPU metric
    [7:02] The role of customer feedback in shaping Mojo’s growth strategies
    [8:15] Testing different pricing models: How Mojo decided on the $79 price point
    [9:30] Why focusing on new revenue, rather than renewals, was crucial for Mojo’s growth
    [10:45] The benefits of running paywall campaigns for existing users
    [12:02] How Mojo balances customer experience with aggressive monetization strategies
    [13:15] The importance of experiment velocity and fast iteration in scaling Mojo
    [14:34] Surprising results: Mojo’s success with paywall strategies for existing users
    [15:41] Closing thoughts on scaling an app with data-driven experimentation and customer focus


    Stop Celebrating Conversion Wins Before Checking Renewals – Sara Grana, Yousician Feb 28, 2026
    Show notes

    On the podcast: about the cost of not tracking your experiments and decisions, how refunds and chargebacks quietly erase your paywall wins, and why stacking A/B test wins should compound your growth, but almost never does.


    This conversation is shorter than usual and will be featured in RevenueCat’s State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.

    Top Takeaways:


    💸 Map your revenue history before running new experiments
    Chart revenue across new subscribers, upgrades, renewals, and win-backs over time. Matching spikes and dips to past decisions reveals what actually moved the business and prevents you from re-learning expensive lessons.

    🤫 Refunds and chargebacks are silent killers
    A paywall “win” can quickly become a net negative if you aren’t tracking the downstream effects of cancellations, refunds, and chargebacks, which often hide the true cost of a seemingly successful experiment.

    📈If your A/B test wins aren't showing up in top-line growth, something is wrong
    Stacking 5% and 10% experiment wins should compound, but many teams see modest growth despite a long list of "winners". Set calendar reminders to recheck winning cohorts at 3 and 6 months, especially for price changes, to catch lifts that don't hold.



    About Sara Grana:

    🚀 Revenue Strategy Lead at Yousician, a revolutionary music platform for anyone to learn, play, create, and teach music.

    👋 LinkedIn



    Follow us on X:

    • David Barnard - @drbarnard
    • Jacob Eiting - @jeiting
    • RevenueCat - @RevenueCat
    • SubClub - @SubClubHQ


    Episode Highlights:

    [0:00] Introduction to Sara Grana, Revenue Strategy Lead at Yousician
    [1:05] The importance of tracking experiments and business decisions in subscription apps
    [2:19] Mapping revenue and understanding its evolution across different user segments
    [3:06] Tracking revenue changes and connecting them to business decisions
    [4:34] The pitfalls of focusing too much on early funnel metrics and ignoring long-term impacts
    [5:26] The impact of chargebacks and refunds on paywall performance and customer retention
    [7:20] Why understanding downstream effects is crucial for making smart pricing decisions
    [8:44] The challenges and opportunities of introducing new subscription plans (e.g., lifetime subscriptions)
    [9:43] How commercial strategy influences churn rates and renewals
    [13:13] The importance of rechecking experiments after months to measure long-term impact
    [14:52] Sara's advice on when to revisit experiments based on their impact on pricing and user behavior
    [15:49] Tracking cohort data for subscription retention and understanding renewal trends
    [16:21] Why surprising lifts in experiments may require deeper investigation
    [17:13] The mismatch between short-term experiment results and long-term growth expectations
    [18:02] Final thoughts on driving sustainable growth, tracking, and adapting strategies over time


    The Boom In Non-Game App Revenue And What's Driving It – Olivia Moore, Andreessen Horowitz Feb 27, 2026
    Show notes

    On the podcast: the tailwinds driving a boom in non-game app revenue, how vibe coding and AI workflows are fueling growth in categories that have nothing to do with AI, and why people predicting the "death of apps" have never been more wrong.

    This conversation is shorter than usual and will be featured in RevenueCat’s State of Subscription Apps report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators.


    Top Takeaways:


    🚀 The app revenue boom isn't just about AI apps
    Non-game in-app purchases grew 21% year over year, but only $3.5 billion came from generative AI. Billions more flowed into short dramas, social media, utilities, entertainment, and other categories.

    💰 ChatGPT helped reset what consumers will pay
    Pre-AI, most consumer subscriptions topped out around $60 a year. ChatGPT normalized $20 a month, and usage-based pricing is pushing some users into hundreds monthly. AI apps monetize at 2x pre-AI ARPU.

    🎯 Vertical, opinionated products beat thin AI wrappers
    Build deep products around a specific use case bigger platforms won't prioritize. The litmus test: your product should get better, not fear for its life, when the underlying models improve.

    About Olivia Moore:

    🚀 AI Partner at Andreessen Horowitz (a16z), a venture capital firm that backs bold entrepreneurs building the future through technology.


    👋 LinkedIn


    👋 @omooretweets on X

    Follow us on X:

    • David Barnard - @drbarnard
    • Jacob Eiting - @jeiting
    • RevenueCat - @RevenueCat
    • SubClub - @SubClubHQ


    Episode Highlights:
    [0:00] Introduction to Olivia Moore, AI Partner at Andreessen Horowitz
    [1:05] Olivia discusses the role of AI in transforming startup growth strategies
    [2:10] The importance of aligning product development with user needs and market demands
    [3:15] How Olivia helps portfolio companies leverage AI to scale effectively
    [4:25] The challenge of balancing innovation with user experience and feedback
    [5:50] Olivia shares insights on identifying and seizing AI-driven market opportunities
    [7:00] Navigating the complexities of integrating AI solutions into existing business models
    [8:20] The importance of long-term growth strategies over quick wins
    [9:35] Olivia talks about the evolving role of AI in user retention and engagement
    [10:40] Discussing the ethical considerations of AI implementation in growth initiatives
    [11:55] Olivia’s thoughts on the future of AI in the startup ecosystem
    [12:30] Closing thoughts on driving innovation and growth through AI


    How Skylight Balances Growth and Profit for Sustainable Success – Michael Segal & Mark Ungerer, Skylight Feb 18, 2026
    Show notes

    On the podcast, I talk with Michael and Mark about the boom in hardware-enabled subscriptions, why nothing worked until they stopped optimizing and started building a better product, and how they doubled their price to $79 even though the data said they could charge more.

    Top Takeaways:


    📱 Hardware-enabled subscriptions need daily usage to work
    Devices that sit unused make subscription value harder to justify, but products that become the heartbeat of daily routines (like a family calendar) naturally create subscription demand.

    🎯 Stop optimizing when you should be building
    Limited resources force careful prioritization, and sometimes the biggest wins come from building genuinely valuable features rather than running endless conversion experiments.

    💰 Price based on customer emotion, not just data
    Testing showed $99 would maximize revenue, but qualitative research revealed $79 felt fair while $99 approached "disgust territory," so they chose the lower price for long-term goodwill.

    🏗️ Build a great product before scaling marketing
    Skylight tried to scale Calendar in 2021-22 but the product wasn't ready, leading to wasted marketing spend and false negatives until they focused on getting to 40+ NPS first.

    🛍️ Retail partnerships are the ultimate influencer
    Being in Costco and Best Buy provides a stamp of quality that can't be underestimated, and multi-channel distribution drives higher overall growth despite lower subscription attach rates in some channels.


    About Michael Segal & Mark Ungerer:

    🚀 CEO, Skylight

    📱 Michael Segal is the CEO of Skylight, a family tech company best known for its digital frames and calendars. Michael, a former venture capitalist, brings a unique perspective to Skylight’s growth strategy, focusing on balancing growth with profitability. He shares anecdotes about Skylight’s journey from hardware to subscription models, the importance of understanding customers' emotions about pricing, and how the team navigates the challenges of scaling both hardware and software.

    👋 LinkedIn


    🚀 CPO, Skylight

    📱 Mark Ungerer is the Chief Product Officer at Skylight, where he leads product strategy, development, and design. With a keen focus on creating seamless user experiences, Mark discusses Skylight’s approach to subscriptions, how they test and refine features based on user feedback, and the key role retail partnerships play in building trust and credibility.

    👋 LinkedIn

    Follow us on X:

    • David Barnard - @drbarnard
    • Jacob Eiting - @jeiting
    • RevenueCat - @RevenueCat
    • SubClub - @SubClubHQ


    Episode Highlights:
    [0:00] The balance between growth and profit: Making decisions based on business goals
    [3:22] Timing the introduction of subscriptions: Skylight's early adoption and consumer reception
    [5:35] The hardware-enabled subscription boom: Market maturity and Skylight’s position
    [8:00] Unique challenges of marketing hardware-enabled subscriptions: Overcoming consumer skepticism
    [10:52] How Skylight integrates hardware with daily family life to drive subscription value
    [12:47] Pricing strategy: The magic behind Skylight’s price increase and minimal subscriber loss
    [17:43] Challenges in scaling growth: How Skylight navigates its multi-channel strategy
    [24:15] Shifting from free trials to subscription: The evolution of Skylight’s approach to testing
    [27:35] The importance of talking to customers: Using qualitative feedback to guide decisions
    [30:00] Retail partnerships as a growth strategy
    [33:45] Subscription dynamics: How pricing and subscription models shape Skylight’s business
    [36:25] Scaling with limited resources: Skylight’s approach to growth without a dedicated growth PM
    [38:40] Navigating hardware, software, and subscription moats
    [42:00] Biggest win: The success of the $79 subscription price increase
    [44:05] Biggest fail: Learning from free trial experiments and the need for more growth testing
    [46:01] Growth would be easier with more resources and strategic price adjustments for wider market reach
    [48:30] The importance of reducing friction in onboarding for increased conversions
    [52:30] The challenges of balancing customer acquisition with retention efforts
    [55:02] Skylight's vision for long-term customer value and growth
    [57:45] The impact of reducing friction in purchasing: How simple changes can dramatically increase conversion rates
    [59:10] Closing thoughts on growth strategy: Aiming for long-term success, not short-term wins


    How ElevenLabs Builds, Prices, and Grows AI Consumer Apps Feb 04, 2026
    Show notes

    On the podcast we talk with Tanmay and Jack about how earned media can drive paid performance, building features that make for good tweets, and why stripping out your onboarding quiz might beat optimizing it.

    Top Takeaways:


    📊Pricing should match how users think — not how AI works
    One of the biggest wins came from simplifying pricing. For ElevenReader, selling listening time instead of tokens or credits dramatically improved clarity and conversion. Abstracting away AI complexity for consumers is not dumbing things down — it’s good product sense.


    🏎️Small, autonomous “pods” enable speed to become the moat

    Instead of one massive org, ElevenLabs operates like 10–12 startups inside the company. Small teams with full ownership can ship fast, iterate relentlessly, and make real product decisions without waiting on heavy processes — a critical edge in fast-moving AI markets.

    💸Earned media compounds — and fuels paid performance

    ElevenLabs treats launches as compounding assets. Each launch earns attention, which boosts branded search, improves paid efficiency, and makes future launches stronger. Growth isn’t just ads vs. organic — it’s a flywheel where story, brand, and performance reinforce each other.

    🕊️Start launches with the “tweet thread,” not the feature
    Before building launch assets, teams write the Twitter/X thread first. If a feature can’t be explained clearly and compellingly in a short narrative, it’s a red flag. This keeps teams focused on real user value instead of shipping “flashy but hollow” features.


    🌐 Consumer apps are a strategic advantage for platform companies
    ElevenLabs doesn’t see consumer apps as competing with its API customers — they’re a force multiplier. Being their own best customer helps them build better APIs, understand real user needs, and strengthen brand affinity across creators, consumers, and developers.



    About Tanmay Jain & Jack McDermott

    🚀 Mobile Growth Lead, ElevenLabs

    📱 Tanmay Jain leads mobile growth for the core ElevenLabs app, focused on translating ElevenLabs’ powerful web + API capabilities into a mobile-native experience that’s simple, fast, and creative-first. He brings a founder mindset from previous roles (including Canva), and shares how ElevenLabs ships through small, autonomous pods — moving quickly, running experiments (like pricing + paywalls), and holding teams accountable to what actually improves the user experience.


    👋 LinkedIn

    🚀 Mobile Growth Lead, ElevenReader

    📱 Jack McDermott leads mobile growth for ElevenReader, ElevenLabs’ consumer app that turns PDFs, articles, and books into lifelike audio — powered by a massive catalog of high-quality voices. He breaks down how ElevenLabs uses earned media to amplify paid performance, why launches start with the “tweet thread” narrative, and how simplifying pricing (selling listening time instead of tokens) can dramatically improve consumer conversion.

    👋 LinkedIn


    Follow us on X:

    • David Barnard - @drbarnard
    • Jacob Eiting - @jeiting
    • RevenueCat - @RevenueCat
    • SubClub - @SubClubHQ


    Episode Highlights:
    [0:00] Why consumers won’t pay in “tokens” — they pay in outcomes

    [2:13] The case for building consumer apps and an API (without competing with customers)

    [4:10] ElevenLabs’ operating system: 10–12 “speedboat” pods shipping in parallel

    [7:20] The Canva spin-out lesson: award-winning product ≠ distribution or retention

    [12:07] Monetization that matches intent: “hours of listening” vs creator credits

    [13:30] Two growth modes at once: compounding earned-media launches + steady paid UA

    [16:27] Why earned media makes paid cheaper (branded search + trust lift)

    [19:30] The launch playbook: write the Twitter thread first → turn it into a video

    [32:20] “Speed is the moat” — and how they avoid shipping gimmicks

    [36:57] Don’t copy Spotify Wrapped — find your product’s natural shareable moment

    [43:31] ElevenReader’s “aha”: bring your own PDF/ebook + pick a voice worth sharing

    [56:58] Biggest fail: over-optimizing onboarding instead of testing the “strip it back” base case


    Why Your Free Users Are Your Real Growth Engine – Cem Kansu, Duolingo CPO Jan 21, 2026
    Show notes

    On the podcast, I talk with Cem about the premium trap many apps fall into, why free trials work even for freemium products, and how ‘try for $0.00’ actually outperforms ‘try for free’.

    Top Takeaways:

    💡 Protect the free moat — always
    Short-term revenue tricks like paywalling free features make metrics spike — then stall. Sustainable freemium growth depends on preserving free value. It’s not just ethical; it’s strategic. Pulling back too much invites competitors to offer what you took away, weakening both your brand and your growth loop.


    🧪 A/B test relentlessly — but know when to lead with intuition
    Testing is essential, but not infallible. With 400+ experiments running at once, you’ll often see trade-offs between revenue and user experience. The art of product management is knowing when to ignore short-term data and make the long-term call that preserves user trust and helps achieve strategic goals.


    🔁 Freemium is a growth engine, not a trade-off
    Your free users aren’t freeloaders — they’re your marketing engine. When you improve the free experience, you strengthen organic growth through word of mouth. Growth slows when you nickel-and-dime; it compounds when you delight.


    💰 Monetize with empathy, not extraction
    Introducing monetization requires a cultural shift. The key is measuring everything — retention, reviews, complaints per DAU — and optimizing for user experience, not just ARPU. Test cautiously, communicate transparently, and say no to anything that erodes trust.

    🧠 Build for everyone, not a persona
    In large-scale apps, personas can be counterproductive. People learn, play, and engage for wildly different reasons. Designing for inclusivity and broad appeal helps scale from millions to billions of users without alienating key segments.


    💡 Strategic and Creative Use of Ads
    Ads at Duolingo were introduced carefully with the goal of balancing monetization with a positive user experience. The focus is on surfacing ads at non-intrusive moments, such as after completing a lesson, and on carefully controlling ad content. Duolingo even partners with advertisers to integrate elements of Duolingo branding into third-party ads.



    About Cem Kansu:

    🚀Chief Product Officer at Duolingo


    📱 Cem Kansu is the former VP of Product at Duolingo, where he led the company’s monetization strategy, introducing ads and subscriptions that turned Duolingo into a sustainable business. With deep expertise in product development and user experience, he helped grow subscriptions to over 80% of revenue, while keeping the core product free and mission-driven.


    👋 LinkedIn

    Follow us on X:

    • David Barnard - @drbarnard
    • Jacob Eiting - @jeiting
    • RevenueCat - @RevenueCat
    • SubClub - @SubClubHQ


    Episode Highlights:
    [0:00] Cem discusses balancing profitability with long-term goals

    [0:36] Duolingo’s first monetization strategy: ads

    [2:02] The pivot from crowdsourcing translations to new monetization models

    [3:49] Streak repair as Duolingo’s first in-app purchase experiment

    [5:43] Shifting company culture to embrace monetization

    [7:20] The influence of investors on Duolingo’s monetization

    [8:00] Introducing ads without harming user experience

    [10:31] Handling user complaints and data-driven adjustments

    [12:07] Ensuring ad quality through strict control

    [13:53] Direct ad partnerships to improve user experience

    [16:30] Ads vs subscription: monetization strategy decision

    [18:43] The impact of free trials on subscription growth

    [20:22] Evolution of Duolingo’s subscription offerings

    [22:39] Adding features like offline learning and ad-free experiences

    [24:22] Pivoting from separate apps to integrating topics in one

    [26:43] Overcoming design challenges to fit new topics

    [28:55] Duolingo’s competition with other screen time apps

    [32:00] Leveraging AI to enhance the language learning experience

    [35:18] The role of AI in Duolingo’s growth

    [37:32] Balancing free vs paid features for growth

    [40:24] Decisions on adding/removing premium features

    [43:35] Lessons from the failed human tutor feature

    [45:10] Challenges in scaling a large product like Duolingo

    [47:12] Long-term growth focus and user base expansion

    [49:30] Design, testing, and iteration at Duolingo

    [54:10] Ongoing improvements in learning efficacy and retention

    [57:15] Duolingo’s future plans and expansion goals


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