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How to Use AI to Increase Your App Engagement
Joe Schaeppi (CEO of Solsten) argues you should stop thinking in demographics and start understanding the human: Solsten's AI psychometrically profiles players from gameplay to predict who your aud...
https://www.youtube.com/watch?v=LOYQeDsDOPw
How to Use AI to Increase Your App Engagement

TL;DR

Joe Schaeppi (CEO of Solsten) argues you should stop thinking in demographics and start understanding the human: Solsten’s AI psychometrically profiles players from gameplay to predict who your audience really is, then optimizes creative, retention, and personalization around their values. The payoff is matching the product to your ideal-customer profile from day zero. This source belongs to the app-masters-youtube batch.

Biggest lessons

  • Profile the human, not the behavior. Solsten measures ~300 psychological traits via an in-app assessment; play reveals personality far faster (20 reps in play vs 400 outside it).
  • Creative optimization is ~50% of marketing ROI — far more than keywords. DragonVale got a 34% conversion lift in 8 years just by adding “family/caring” to “baby dragon” creative aligned to audience values.
  • Match to the ICP, not early engagement. Optimizing for whoever shows up first can trap you with a tiny or low-spend segment; assess the real high-LTV persona before scaling (Monopoly Solitaire example).
  • Retention is the post-IDFA strategy — Eve Online raised day-7 retention by routing high-altruism players to altruistic acts; matching play-session reality (e.g. <3-min sessions for bus-stop/bathroom users) matters.
  • “How worthwhile is this to you?” is the most powerful product question — it loads on durability/long-term LTV; happiness and NPS barely correlate with LTV (top spenders sometimes leave 1-star reviews).
  • Design to enduring values, not fleeting emotions — and let theme/IP that match user values drive CPI down and ROAS/LTV up.

Why it matters

  • Reframes the wiki’s engagement and ICP threads — psychographic targeting connects creative, retention, and monetization into one audience-first system.
  • The “worthwhile” metric and creative-over-keywords priority sharpen how the wiki thinks about content-market fit and validation.

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