How Duolingo reignited user growth
Jorge Mazal, former CPO of Duolingo, explains how the company grew daily active users 4.5x over four years after growth slowed to single digits in 2018. He covers two failed early bets, then a user-segment model that pointed to current-user retention as the lever. Leaderboards, push notifications and streaks followed.
We link to the original and never republish it. All credit to Jorge Mazal.
Key takeaways
- Before borrowing a feature from another product, ask why it works there, whether it will translate to your context, and what you must change. Mazal's Gardenscapes moves counter and Uber-style referral program both failed because the context differed.
- Build a model that puts every user in exactly one engagement bucket, then simulate moving each retention rate by 2% per quarter. At Duolingo this showed current user retention (CURR) had 5 times the DAU impact of the next best metric.
- Choose one North Star metric tied to your goal. Focusing on CURR meant Duolingo stopped working on things that had seemed paramount, such as new-user retention.
- Protect your notification channel. Groupon's escalating email tests drove users to opt out for good, so Duolingo let teams tune timing, copy and templates but required CEO approval to send more notifications.
- Look for wins in features you already have. Checking which features correlated with retention led Duolingo to optimize streaks, starting with a streak-saver notification, and the work paid off repeatedly.
Who it's for
Product and growth leads at a mature consumer product whose user growth has stalled and who need a way to decide which retention levers to pull.
Why it's worth your time
It is a candid account of failed bets alongside the wins, and the method of modeling user segments to find your highest-impact metric applies well beyond Duolingo.
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