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:🌍 A winning paywall in one region can completely fail in another A long scrolling paywall with detailed comparisons drove a 20% revenue lift in Japan but failed in the US, where cleaner designs with punchy messages performed better. Always retest regional winners before global rollout.💪 Getting only 50% of revenue on day one is actually a strength, not a weakness While most apps see 80% of revenue on day one, getting half from existing users signals strong retention, generous free tier value, and healthy long-term monetization beyond onboarding.⚡ Experiment velocity is a huge unlock for paywall optimization Using third-party platforms to shorten iteration cycles from days to hours, running parallel test streams across geo segments, and taking more shots overall creates shorter feedback loops and compounds learning over time.About Michal Parizek🚀 Senior Growth Product Manager, Mojo📱 Michal has been fascinated by how small product decisions can create massive growth. Over the last decade, he has turned that curiosity into a career — helping companies like Mojo, Smartlook, and Rohlík grow faster through experimentation, smart monetization, and fast iterations. At Mojo, Michal has spent the past two years scaling one of the most creative apps on the App Store — boosting ARPU by 60% year-over-year, growing annual plan adoption to 85%, and running dozens of paywall experiments that taught us what truly resonates with our users.👋 LinkedInEpisode 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

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