Stickiness is the DAU ÷ MAU ratio — how often a typical monthly user comes back within the month. A stickiness of 0.5 means the average monthly user is active 15 days out of 30. A stickiness of 0.1 means they're active 3 days per month. It's the single cleanest summary of "do users habitually return", and one of the highest-leverage metrics in any consumer app.
The 14% median is the most uncomfortable truth in this metric: half the measurable catalog has stickiness below 14%. The headline "stickiness 30-50%" numbers most playbooks quote describe the top decile, not the typical app. Use the distribution and category breakdown below to find your real baseline.
Industry benchmarks by category
- Social / messaging (WhatsApp, Instagram, Snapchat tier): 0.4-0.7. Daily-use products.
- Productivity (Notion, Slack, Linear tier): 0.3-0.5. Strong workday usage, lighter on weekends.
- Streaming / media: 0.15-0.30. Episodic / event-driven usage.
- Casual games: 0.15-0.35. Session-based, often around content / event drops.
- Hyper-casual games: 0.10-0.20. Short usage spikes around install, fades fast.
- Utilities: 0.05-0.15. Rare-use products by design.
Compare to your own category and your own historical baseline — cross-category comparisons mislead.
Why stickiness lifts revenue
- More sessions per user → more ad impressions (for ad-monetized) or more chances to surface IAP / subscription upgrades.
- Deeper product engagement → higher conversion to paid (users who use a product daily are more likely to subscribe than users who open it weekly).
- Lower churn → habitual users are dramatically harder to lose than casual ones. Lifting stickiness 5 points often drops 90-day churn by 10-20 points.
- Better long-tail LTV → the asymptotic retention rate (fraction of users who become "permanent") correlates strongly with stickiness.
The primary stickiness levers
- Push notifications done right — relevant, timely, well-throttled. Done wrong (spammy, irrelevant) they crater stickiness fast.
- Daily-streak mechanics — Duolingo's streak counter is the canonical example. Aligned-incentives gamification that rewards daily return.
- Content freshness — for media, social, and content apps, the rate of new content matters enormously. Users return when they expect something new.
- Personalization — surfacing relevant content drives higher next-session probability.
- Social / network effects — products where other users' actions notify you (messages, mentions, comments) have structurally higher stickiness.
Don't game stickiness at the expense of total value. Adding noisy push notifications can lift DAU short-term (more opens) but trigger uninstalls and crater MAU. Track stickiness alongside MAU and DAU absolute trends — high stickiness on a shrinking MAU is a warning, not a victory.
Stickiness lift levers — ranked by impact
| Lever | Typical lift | Risk if done poorly |
|---|---|---|
| Push notifications (relevant + timed) | +0.05-0.15 stickiness pts | Spammy push → opt-outs + uninstalls |
| Daily-streak mechanic | +0.05-0.20 (habit-formation apps) | Punishing-streak loss causes churn at streak break |
| Content freshness (media / social) | +0.03-0.10 | Stale content → users wait between visits |
| Personalization (relevant feed) | +0.05-0.12 | Bad recommendations → users see irrelevant content + leave |
| Social / network effects | +0.10-0.30 (structural) | Hard to add post-launch; either built-in or not |
| Frequency capping on push | Protects MAU (prevents loss) | Too aggressive → DAU drops short-term |
Lifts compound but with diminishing returns. The first 5-10 stickiness points come from getting push + content cadence right; the next 5-10 require structural design (network effects, streaks, gamification). Track stickiness alongside MAU absolute trend — high stickiness on shrinking MAU is bad, not good.
The shape is the surprise: the histogram peaks in the 10-15% bucket and decays from there. Most consumer apps live in the single-digit-percent range; the "good app" territory above 20% is reached by only the top quartile. If your stickiness sits in the 5-10% band, you're in the broad majority — not failing. The lever question is what realistic +5 looks like for your category, not whether you can chase a 30% target.
DAU / MAU stickiness — median and top-decile by category (US, May 2026)
| Category | Median stickiness | Top-10% stickiness |
|---|---|---|
| Social & Communication | 21.2% | 40.9% |
| Productivity & Tools | 17.5% | 38.5% |
| Lifestyle & Well-being | 15.2% | 30.4% |
| Media & Entertainment | 15.0% | 30.3% |
| Education & Knowledge | 12.6% | 25.4% |
| Game | 11.8% | 23.9% |
One striking thing in the category breakdown: Games have the lowest median stickiness (11.9%) despite the highest session length seen earlier. Gamers play long, but not every day. Social has both the highest median and the highest top-decile gap (21.9% / 43.8%) — the daily-anchor effect of messaging products. Productivity beats Lifestyle and Media at median thanks to the weekday work-tool habit.