App retention benchmarks 2026: the median D1/D7/D30 by category (and what it implies)

Original post (source): Unstar - “App Retention Benchmarks 2026: Day 1, 7, 30 by Category”

• https://unstar.app/blog/app-retention-benchmarks-2026

The gist

Retention is easiest to argue about when you don’t have a baseline.

Unstar’s core point is: benchmark your D1/D7/D30 against your category median (using the same retention definition), then decide what to fix.

The benchmarks (medians)

Unstar shares median benchmarks across categories, including examples like:

• Finance: D1 ~58%, D7 ~42%, D30 ~28%
• Productivity: D1 ~52%, D7 ~32%, D30 ~20%
• Casual games: D1 ~35%, D7 ~12%, D30 ~4%

The post also notes (usefully) that top-quartile apps are often ~1.5–2× the median, and bottom-quartile apps are ~0.5×.

The practical reminders that matter

A few lines in this post are the ones worth stealing for internal docs:

• Retention definition drift is real. “Classic” vs “rolling” retention will change your number. If your dashboard changed its definition, you can think you improved while you actually just renamed a metric.
• Category reality beats vibes. Travel apps have structurally lower retention than finance. Social apps can “cheat” with network effects. Comparing across categories without context is how teams panic (or celebrate) incorrectly.
• Most churn is still a first-session problem. The post calls out the empty-state trap and first-week novelty drop, which usually map back to “did the user reach the first proof moment?”

Tiny win

Pick one core journey and do a 30-minute “proof moment” audit:

1. Write the promise your listing makes in one sentence (screenshot #1 headline works).
2. Time how long it takes a new user to hit the first proof moment in the app.
3. If it’s not happening in session one, fix that before you chase push cadence tweaks.

Read the original: https://unstar.app/blog/app-retention-benchmarks-2026