Sub Club

RevenueCat's podcast on subscription app growth and monetization. 26 Sub Club episodes on product and growth, each as notes you can zoom: the bottom line, key takeaways and every chapter, linked to the moment in the video.

Ask all of them a question · The course

October 20262

September 20263

Sub Club · Sep 30

How WeWard hit 20M users without paid ads — Yves Benchimol, WeWard

WeWard grew for four years with no Meta, Google or paid UA spend, relying on a small PR retainer, then used a celebrity ambassador and investor to break into the US. The episode covers affiliate revenue, measuring steps instead of screen time, and why pivoting is mostly a decision problem.

  • Hire a PR retainer as your first acquisition channel for mass-market apps
  • Prepare your app and servers before a TV segment airs
  • Check retention after a press spike, then add paid ads
Sub Club · Sep 16

Why BoldVoice charged from day 1 and ignored the Duolingo freemium playbook — Anada Lakra

BoldVoice charged from day one, aimed at high-intent professionals instead of hobby learners, and judged every paywall test on net revenue after refunds. That approach took it to $10M ARR with a team of 10 and no reliance on a freemium base or big paid-ad spend.

  • Judge paywall tests on net revenue after refunds from matured cohorts
  • Do not force trial starts with a hard paywall or unskippable discount
  • Charge from day one to find your real ICP
Sub Club · Sep 2

Why 90% of their paid traffic goes to a quiz, not the App Store

Built With Science, the fitness app from YouTuber Jeremy Ethier, shows that even a 7 million subscriber audience needs a strong product, a web quiz funnel and structured experimentation to grow. They waited a year after launch to fix trial-to-paid, then scaled Meta from zero to $100,000 a month in ad spend profitably, and a pricing page change moved annual plan share from 60/40 to 75 to 80%.

  • Send paid traffic to a long personalized web quiz
  • Show annual first with a day-by-day trial timeline to cut risk
  • Fix trial-to-paid and retention before spending on paid ads

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Sub Club · Apr 29

Why Opal Stopped Chasing Revenue to Build a Billion-User App – Kenneth Schlenker

Opal's CEO explains why the app moved from a hard paywall to freemium, aiming at a billion-user product built on retention, brand and a real team rather than short-term revenue. Paid penetration fell from 20% to 9%, yet daily active users passed a million, organic growth rose sharply, and he says the payback is tenfold.

  • Give away enough of the product that free users recommend it
  • Accept a lower paid conversion rate if free users drive organic growth
  • Test free-tier limits by measuring install LTV and overall retention together
Sub Club · Apr 15

The AI Growth Playbook for Subscription Apps – Phil Carter, Elemental Growth

Phil Carter walks through twelve AI-era tips organized by his subscription value loop (value creation, delivery and capture), covering onboarding, personalization, creative testing, tiering and credits. He backs them with client results such as Runna going from tens to 400+ creative concepts a month and a 75% LTV lift from a multi-step freemium paywall.

  • Convert users in the first session with a magical onboarding
  • Use onboarding answers to build a one-of-one product experience
  • Niche down to an underserved segment and personalize deeply for it
Sub Club · Apr 1

How the World’s #1 VPN App Reached 1 Billion Downloads – Tanuj Chatterjee, Super Unlimited

Super Unlimited reached the number one VPN spot on the App Store and over a billion downloads by treating the top of the funnel as a product decision: a frictionless, genuinely good free tier, obsessive service quality, and restraint in monetization. It now gets over a million downloads a day, mostly organic, and is profitable.

  • Treat the top of the funnel as a product decision
  • Read your competitors' and your own reviews to decide what to fix
  • Win the last 15% of quality that competitors skip

March 20267

Sub Club · Mar 18

$6.7M ARR, No Paid Ads, and an Exit to Quizlet in 2 Years – Brett Bauman & Zack Hargett, Coconote

Two ex-Loom builders launched an AI lecture note-taking app with a free trial from day one, grew it through a small team of content creators, and used a long onboarding and trial-extension cancellation offers to convert and retain students. They reached $100K ARR in 45 days, $1M in 4 months and $6.7M ARR with no paid ads, then sold to Quizlet in about two years.

  • Move account login to after the paywall in onboarding
  • Offer a free trial extension to users who try to cancel
  • Lengthen onboarding with personalization and social proof before the hard paywall
Sub Club · Mar 7

The Art of Driving Retention Through Product – Ben Gammon, Ladder

Retention comes from the product reliably delivering the result users came for, with lifecycle messaging layered on top. Ladder worked backwards from five-star reviews to a three-workouts-a-week target, then built a journal, check marks and a widget around it, and a nutrition add-on found through surveys now lifts conversion and retention among hybrid users.

  • Work backwards from five-star reviews to define the result users want
  • Turn your retention goal into one simple weekly behavior target
  • Let users log data that powers personalization and visible progress
Sub Club · Mar 6

The Top 10% of Apps Grew 306%. Everyone Else? Barely Beat Inflation | SOSA 2026

A walkthrough of RevenueCat's 2026 State of Subscription Apps report: a flood of new AI-built apps, a power-law split in growth, and what the data says about paywalls, trials, churn and AI app retention. Key results: the top 10% of apps grew 306% while the median grew 5.3%, and hard paywalls converted 10.7% download to paid versus 2.1% for freemium.

  • Test a hard paywall if you pay for acquisition
  • Don't fear hard paywalls hurting year-one retention
  • Choose freemium only when free users create real value
Sub Club · Mar 5

Why Web Onboarding Should Sell The Problem, Not The Solution – Leon Sasson, Rise Science

Rise Science spent years failing at web funnels by copying its app onboarding, then found success by treating web as a separate channel with a different audience, a problem-first flow, and discounted paid trials. The episode shows how to design, market and bill for a web funnel that works alongside app install campaigns.

  • Build web funnels from scratch instead of copying your app onboarding
  • Sell the problem first on web, and save the solution for the app
  • Test a heavily discounted first month instead of a free trial on web
Sub Club · Mar 4

Dynamic Paywalls That Drove Millions in New Revenue – Shawn Gong, Tinder

Tinder used machine learning to show each user the single product they are most likely to buy instead of every tier and plan, and learned how to sell features a la carte without cannibalizing subscriptions. The ML paywall drove a multi-million dollar annual revenue increase, and the failed Tinder Select tier shows that stated willingness to pay is not enough.

  • Show each user the one product they are most likely to buy
  • Offer three tiers if you have no ML team
  • Price a standalone feature equal to the same-length subscription
Sub Club · Mar 2

The Counterintuitive Way To Nudge Users Into Free Trials – Anmol Tiwari, Duolingo

Duolingo's approach to free trials favors clarity and trust over persuasion: spell out the trial timeline, offer multiple trials and no-strings free tastes, and personalize upsells. Shortening the trial from 14 to 7 days doubled experimentation velocity, and letting users pick their reminder day lifted conversions despite the added friction.

  • Give users clarity and confidence to buy instead of persuading them
  • Let users choose which day they get their trial reminder
  • Shorten the free trial to speed up experiment results
Sub Club · Mar 1

How Mojo Increased ARPU 60% In Just Five Months – Michal Parizek, Mojo

Mojo raised average revenue per user 60% in five months through paywall and pricing experiments, tested by region and measured on 7-day revenue per user. The episode shows how a weekly paywall for free users, regional retesting and fast experiment cycles each added revenue.

  • Show free users a paywall on app open once per week
  • Retest every paywall winner in each key geo before rolling out
  • Do not assume a winning paywall design transfers across regions

February 20262

January 20262