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Push Notification Fatigue vs Retention (2D)

Interactive 2D cohort simulator: push notifications re-engage dormant users but also build fatigue that drives opt-outs — pan and zoom the live cohort field and tune notification frequency to find the cadence that maximizes long-run retention.

Computer Science2DModerate60 FPS📱 Mobile-adapted⇄ 3D version
2d-mobile-user-retention-strategies ↗ Open standalone

Push notifications are the sharpest tool in a mobile app's retention kit — and the easiest way to destroy retention if overused. This simulator runs a live cohort of 200 users through 60 simulated days: each notification nudges a user's engagement score up with diminishing returns, but also adds to a fatigue score that, once it crosses a threshold, makes that user opt out of notifications entirely — after which their engagement has nothing left holding it up and decays toward churn anyway. Tune notification frequency, the strength of the re-engagement boost, how fast fatigue builds, and baseline churn sensitivity, then watch the 2D cohort field and the live retention curve to find the notification cadence that keeps the most users active by day 30 — the same dose-response trade-off real product teams tune with A/B tests and frequency capping.

⚙ Under the hood

Simulate a live 200-user cohort on a 2D canvas field where push notifications boost re-engagement with diminishing returns but also build fatigue that triggers opt-outs — pan and zoom the field and tune frequency, boost, fatigue gain and churn sensitivity to find the notification cadence that maximizes day-30 retention.

retentionpush-notificationsmobilecohort-modelchurnengagement

2D · HTML5 Canvas 2D · 60 FPS target · runs fully client-side, no install

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