Sub Club by RevenueCat

Zack Hargett, product and marketing lead who grew Coconote’s revenue pre-acquisition. Brett Bauman, engineer turned mobile product builder who scaled the AI note app to multi-million ARR. They discuss hitting massive ARR fast, why trial extensions beat discounts for cancellations, hiring small creators over influencers, framing product as a solution, and moving login after the paywall.

Luke Harries, growth and engineering lead at ElevenLabs, blends AI research with product and marketing. He discusses turning every feature launch into a repeatable growth engine. He explains using custom GPTs to scale ad copy and directing AI agents as a core marketing skill. He also covers coordinating paid and organic assets, localization with LLMs, and scaling massive ad spend.

Eric Seufert, founder of Mobile Dev Memo and mobile monetization strategist. He argues distribution, not code, is the real moat. He explains how AI floods the market and raises discovery costs. He recommends using AI defensively to spot copycats and stresses that widespread disruption will be slower than people expect.

Ben Gammon, VP of Product at Ladder, builds product loops that keep people lifting and coming back. He talks about making retention the north star, designing a journal and widgets that turn progress into habit, and teaching features in the moment instead of in onboarding. He also explains why broad surveys beat a handful of interviews for consumer product decisions.

They dig into a dramatic supply shock as new subscription apps surge and iOS leads launches. They highlight power-law growth where the top 10% exploded while the median barely grew. They reveal hard paywalls convert far better than freemium and that day zero is the critical moment to capture users. They note AI apps earn more but suffer faster churn, creating fragile revenue gains.

Larissa Morimoto, Senior Growth Manager at PhotoRoom who runs creative brand and offline marketing experiments. She explains why PhotoRoom moved into offline activations to spark real human connections. She describes designing events to generate UGC and repurposing those assets for millions of impressions. She also warns that celebrity tie-ins fail without audience fit.

Leon Sasson, Co-founder and CTO at Rise Science, builds an energy management app that helps people improve sleep and daily energy. He explains why web onboarding should sell the problem before the product. He covers why discounted paid trials often beat free trials. He also talks about how creative that fails in app ads can win on web funnels.

Shawn Gong, a Tinder product leader in growth and monetization, explains ML-driven paywalls that boosted millions in revenue. He discusses decision overload, using machine learning to surface the single best offer, smart a la carte pricing to avoid cannibalizing subscriptions, and why Tinder Select failed to scale. Short, practical takes on pricing, experimentation, and designing for emotional choices.

Patrick Rills, Chief Product & Technology Officer at Lose It!, leads product and pricing strategy for the weight-loss app. He discusses testing prices from $5 to $120 and why rising CACs forced a rethink. He explains how doubling price unlocked paid acquisition and enabled deeper discounts. He also covers grandfathering longtime subscribers to reduce churn.

Anmol Tiwari, Director of Product Management at Duolingo focusing on trials, experimentation, and personalization. He explains prioritizing clarity on paywalls, why multiple and shorter trials speed up learning and testing, how adding deliberate friction to reminders increased conversions, and how personalization and regional nuances shape trial and pricing strategies.