RevenueCat

Is everyone finally recovered from #AppGrowthAnnual and #NYAW? 💤 Whether you didn’t have time to join, or simply can’t be bothered to decode your scribbled notes — we’ve got you covered. Here are the 11 top lessons on app growth and monetization from RAGA: 1. Natalia Castillejo, Duolingo: If users love your core product enough, keep it free and monetize around it 2. Gregory Stewart, Ladder: To stand out in a crowded space, you need to be willing to reinvent 3. Michael Ribero, Condé Nast: Brand is a blessing, and a trap — embrace heritage, but avoid it becoming stale 4. Danielle Goryl, Lose It!: Paywalling a previously-free feature IS possible (even if it’s scary) 5. Emmanuel Crouvisier, CardPointers: Skip ads, embrace ‘advocates’ and revenue-share partnerships 6. Steve P. Young, App Masters: Know your enemy, but don’t copy-paste their black hat ASO hacks 7. Ryan Jones, Flighty: A good feature is its own marketing engine 8. Aja Beckett, Shotsy: Indie is a philosophy, not a team size 9. RevenueCat’s paywall builder is fast enough for e-sports 10. Chocolate is better than a real trophy 🏆 11. If you care enough, you can get your own Pokémon theme song Inspired? Motivated? Maybe a little confused by those last two? Then that about summarizes the experience of attending App Growth Annual. Dive into the full roundup for deeper insights from each expert 👉 https://lnkd.in/e4W93bj6

Catch users before they slip out of the door 🚪  Start managing Apple’s Retention Messaging API through your RevenueCat dashboard — reliable, real-time, and handsfree ✨ The breakdown ⤵️ Earlier this year, Apple quietly launched its Retention Messaging API — letting apps show custom offers or messages when users go to cancel subscriptions. The catch: your backend must respond in <0.7s with the correct localized offer (which you need to handle manually) — or you miss the opportunity. Enter RevenueCat: ⚡️ Real-time responses within Apple’s 0.7s limit ⚡️ Localized, AI-translated messages ⚡️ Built-in monitoring + performance insights ⚡️ Targeting by storefront, trial status, or cohort Let us do the heavy lifting, while you sit back and watch your churn rate disappear. Get the full rundown on Apple’s Retention Messaging API and how to manage everything easily from your RevenueCat dashboard — all in our new blog 🔗 https://lnkd.in/epi9yYTs

Are OKRs really more than a box-ticking exercise? ✅ Turns out, yes — they’re actually pretty powerful. But only when you use them right. As Daphne Tideman puts it: “OKRs are a strategic way to turn long-term vision into step-by-step action.” Sounds pretty important. But what should your OKR be? And which metrics actually offer value towards that goal? Daphne breaks it down in her latest blog: 1. Start with your North Star Metric — the single stat that captures how you create value 🌠 (And don’t just say ‘revenue’.) 2. Determine your OKRs that lead up to that North Star: 🎯 Objectives = what you’re trying to achieve 📊 Key results = measurable outcomes that show your progress 3. Map KPIs for each key result. Define the metrics to track by funnel stage👇 • Acquisition → ARPPU, payback period • Activation → trial-to-paid, aha! moment • Engagement → DAU/MAU, feature usage • Retention → renewal rate, churn split • Monetization → expansion %, refund rate 4. 🚦 Measure performance against benchmarks and historical data. You can use a traffic light system, but don’t be disheartened by lots of red — prioritize changes that will have the most impact. 5. Share OKRs with stakeholders and build a rhythm to review, track, and score KPIs. Aim for weekly reviews, and score each quarter. When done right, OKRs keep teams aligned and focused on what actually drives growth — not vague goals or vanity metrics. Get Daphne’s complete guide to subscription app OKRs and KPIs at the link in the comments 🔗

Do you see your paywall as a checkout screen? Well, Daphne Tideman wants you to see its potential to be so much MORE. Here are 7 unexpected ways to make your paywall work harder: 1. Educate and frame value 🔍 Use your paywall to clearly convey the app’s value. Don’t list features, focus on user outcomes — what will the user miss out on if they skip the offer? 2. Build trust 🌱 App downloads ≄ trust. Offer social proof and clarity around payments and trial info to build trust from the outset. 3. Connect emotionally 💛 Users are motivated by emotional drivers that keep them coming back. Identify these, and weave them into your paywall to build motivation and emotional resonance early on. 4. Guide behavior 👉 Reduce friction by gently nudging users to the best choice. Address questions early on, and pre-empt friction points such as pricing hesitation or uncertainty. 5. Reinforce progress 🎢 Use UI/UX like progress bars and checklists to remind users your app is helping them move forward. A sense of early accomplishment encourages finishing the process. 6. Improve retention 💸 Highlight annual value or offer trials on annual subscriptions to boost immediate ARPU. Or look beyond conversion rate and help users imagine the long-term benefits of your app to nudge towards longer commitment. 7. Gather insights 💡 Test messaging and designs via ads, A/B test paywalls, and fine-tune copy through paywall testing. Consider short surveys to users who don’t convert, after they close the paywall. Your paywall can do more than ‘ask for money’. It can educate, validate, and build trust. Get more paywall examples and detailed breakdowns of these 7 tactics in the full blog (link in the usual place ⬇️)

“Give people more for less — that’s always an equation that works.” A simple line from Michael Ribero (Condé Nast) that says a lot about pricing, bundling, and user value. Check out David Barnard's live Sub Club conversation from App Growth Annual for practical insights every app can use to grow LTV. #AppGrowth #SubscriptionApps

AI has broken the pricing playbook for subscription apps 🤖 Traditional subscription apps work on predictability — one user, one plan, one steady cost. But AI-powered apps? Every prompt, chat, or render costs real money 💸 Oh and freemium? Suddenly not that free. ▪️ Flat-rate pricing no longer makes sense ▪️ Free trials are burning through revenue ▪️ Your most engaged users can be the most expensive ▪️ Growth now burns GPU, not just ad spend ▪️ Margins depend on inference efficiency AI apps need to shift their pricing strategy, and fast. Alice Muir Kocourková's new blog breaks down the top tactics AI subscription apps are turning to: ▪️ Introducing usage-based tiers for heavy vs. light AI lift ▪️ Credit systems and virtual currency to limit use ▪️ Bundles that spread compute cost across non-AI apps ▪️ Discounts for off-peak usage ▪️ Paywalling AI features under more expensive paid plans The AI goldrush is over — the next wave is about sustainable growth. Price for compute cost, focus on UA efficiency over reach, and track inference cost per active user. Get the full rundown on what AI apps are doing, and how to rethink your pricing model in the AI age. Link in the comments 🔗

We just launched something new 🎥 Sub Club: tl;dr — our short, visual take on big insights from the Sub Club Podcast. In our first episode, Joseph Choi (former Google PM → TikTok strategist) breaks down what actually drives virality on TikTok. ✅ TikTok’s algorithm still favors great storytelling ✅ Follower count ≠ success ✅ Short-form virality can fuel long-term brand lift All those insights in just over 4 mins! 📎 Full video link in the first comment 👇

🚀 “If your paywall feels like a web page, you’ve already lost.” In building RevenueCat Paywalls, we made one key decision: render natively, not in a WebView. Here’s why it matters: ⚡ Faster load times — native UI renders instantly, no separate engine to spin up ♿ Better accessibility — Dynamic Type, haptics, and system gestures come for free 🧩 More stability — no surprises from WebView or OS updates 🔄 Full flexibility — paywalls stay remotely configurable and versioned for backward compatibility The result: paywalls that feel like part of your app — because they are. Read the full engineering breakdown by Perttu Lähteenlahti https://lnkd.in/enwB8ADv

Ever considered you might be overanalyzing your ad creatives? When every report, dashboard, and attribution model claims to reveal the truth, it’s tempting to pick apart ad concepts until there’s nothing left. ⚠️ But creative isn’t a variable you can isolate. As Nathan Hudson explains, ad creative rarely works alone — it’s a system input. A winning creative doesn’t win because of the color palette or CTA, it works because of timing, message, audience, and feedback loops that can’t be cleanly separated. Top takeaways to remember: 💡 Your best ad may just be an algorithmic anomaly 💡 Attribution models reward volume, not insight 💡 Over-analysis kills creative velocity 💡 Simplify analysis for clearer creative direction Nathan suggests instead of chasing precision and understanding minor variables → chase momentum. The faster you learn and iterate, the better your performance will be — even if you still don’t have all the answers. Find Nathan’s full blog post in the comments 🔗