App marketing & ASO · Benchmarks

App retention rate benchmarks
by category

Published benchmarks put average app retention at roughly 25% on day 1, 10–13% on day 7 and 5–7% on day 30, with wide variation by category. Fintech, marketplaces and news retain best by day 30; food delivery, fitness, education and casual games retain least. Sources differ, so compare against your own cohorts and focus on the shape of your retention curve.

By , FounderUpdated 4 min read

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Quick answer: What is a good app retention rate?

  1. Day 1 — about 25% on average across apps.
  2. Day 7 — around 10–13%.
  3. Day 30 — about 5–7%.
  4. Category matters — fintech and marketplaces high; fitness, education and casual games low.
  5. The curve matters most — does it flatten, or keep falling?

Key takeaways

  • Benchmarks are context, not targets — definitions and samples differ across sources.
  • A retention curve that flattens means you have a core of users who found value.
  • Day-1 retention reflects onboarding; day-30 reflects product value.
  • Compare cohorts over time to see whether your changes are working.
  • Retention multiplies every marketing rupee you spend.

"Is our retention good?" is the question behind most growth meetings. Benchmarks help answer it — if you read them carefully. Published figures vary between sources because they use different samples, regions and definitions. So treat the numbers below as context, then spend most of your energy on the shape of your own curve.

What is a good app retention rate? At a glance: Day 1; Day 7; Day 30; Category matters; The curve matters most.
At a glance: What is a good app retention rate?

Average retention across apps

day-1 retention
~25%
day-7 retention
~10–13%
day-30 retention
~5–7%

Retention by category

Indicative app retention ranges by category (compiled from public roundups, Oct 2026)
CategoryDay 1Day 30Pattern
Fintech and banking~30%~6–12%Strong long-term habit for money tasks
Marketplaces and shopping~24–34%~5–9%Driven by purchase frequency
News~27%~11–13%Daily habit for loyal readers
Social and messaging~25–29%~4–5%Network effects decide winners
Dating~30%~5%Users leave when they succeed — or give up
Food delivery~17%~4%Frequent but highly competitive
Health and fitness~20%~3–4%Motivation fades after the first weeks
Education~14–15%~2–3%Hard habits without structure
Hyper-casual games~32%~2–4%High curiosity, fast drop-off
Bar chart: Indicative app retention ranges by category (compiled from public roundups, Oct 2026) — Fintech and banking: ~30%; Marketplaces and shopping: ~24–34%; News: ~27%; Social and messaging: ~25–29%; Dating: ~30%; Food delivery: ~17%; Health and fitness: ~20%; Education: ~14–15%; Hyper-casual g
Indicative app retention ranges by category (compiled from public roundups, Oct 2026)

Some sources report notably different numbers for the same category — another reason to benchmark against yourself.

Read the curve, not a single number

Read the curve, not a single number: Curve that flattens; Curve that keeps falling; Curve that rises (smile).
Read the curve, not a single number

Curve that flattens

After an initial drop, a steady share keeps using the app. You have product–market fit with a core group; grow it.

Curve that keeps falling

Users try, then leave, week after week. Fix value and habit before spending on acquisition.

Curve that rises (smile)

Users return after a gap — often from seasonal needs or re-engagement. Rare and valuable.

What each day tells you

What day-1, day-7 and day-30 retention reveal
MetricMostly reflectsImprove with
Day 1Onboarding and first impressionFaster time to value, fewer sign-up steps
Day 7Early habit formationReminders tied to real needs, quick wins
Day 30Lasting product valueCore feature quality, new value over time

Uninstalls are part of the picture

An AppsFlyer study reported in 2018 found that about 28% of apps were uninstalled within 30 days, with India among the countries with the highest uninstall rates, partly due to limited phone storage4. App size and performance matter more in India than in many markets.

Measure your own

Diagram of 5 steps for measure your own: 1. Define "active"; 2. Group users into cohorts; 3. Chart day-1, day-7 and day-30; 4. Compare cohorts; 5. Interview users who left.
Measure your own
  1. Define "active" — a meaningful action, not just an app open.
  2. Group users into cohorts by install week and acquisition channel.
  3. Chart day-1, day-7 and day-30 retention for each cohort.
  4. Compare cohorts before and after product changes.
  5. Interview users who left — the curve tells you when; people tell you why.

If your curve keeps falling, a retention and churn audit finds where. For uninstall causes, see why users uninstall apps.

Key terms, defined

Retention rate — share of a cohort active after a set period. Cohort — users grouped by when or how they joined. Classic retention — active exactly on day N. Rolling retention — active on or after day N. Retention curve — retention plotted over time.

Frequently asked questions

What is a good day 30 retention rate?

Published benchmarks put the cross-app average at roughly 5–7% on day 30. Above 10% is strong for many consumer categories; utilities and finance apps can do better, games and fitness often lower. Compare within your category.

What is a good day 1 retention rate?

Around 25% is a commonly cited average. Below 20% usually signals onboarding problems; above 35–40% is strong for most consumer apps.

How do you calculate retention rate?

For a cohort of users who installed on the same day, divide the number active on day N by the number in the cohort. Classic (day N) retention counts users active exactly on that day; range or rolling retention counts users active on or after it.

Why are retention benchmarks so different between sources?

Sources use different samples, platforms, regions, definitions (classic vs rolling), and whether they count organic or paid users. Use one source's numbers consistently, and compare yourself to your own past cohorts.

How can I improve app retention?

Shorten time to first value in onboarding, build a habit loop around a real need, send useful personalised notifications, fix performance and crashes, and talk to users who left.

What is a retention curve?

A chart of the share of a cohort still active over time. A curve that flattens shows a core group that keeps using the app; one that keeps declining toward zero means users aren't finding lasting value.

Sources

  1. Phiture — Managing retention rate benchmarks and expectations
  2. Plotline — Retention rates of mobile apps by industry
  3. Pushwoosh — How to increase app retention: benchmarks and strategies
  4. PocketGamer.biz — Three out of 10 apps uninstalled after 30 days (AppsFlyer, 2018)
  5. Checked October 23, 2026. Figures that change — fees, salaries, prices — are reviewed every six months; if something is out of date, tell us.
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