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Growth-onomics retention benchmarks (2026): why Day 30 is a category problem, not a dashboard number

A credited summary of Growth-onomics’ 2026 retention benchmarks by industry, plus the practical way to use Day 1, Day 7, and Day 30 as diagnosis, not targets.


Original source: Growth-onomics - “Mobile App Retention Benchmarks by Industry 2026” (Jan 1, 2026)


The useful framing

Benchmarks are only helpful if they turn into diagnosis. This article’s simplest (and best) idea is using:

  • Day 1 retention as “did onboarding and first-session value land?”
  • Day 7 retention as “did we create early stickiness or a repeatable habit?”
  • Day 30 retention as “do we have product-market fit, or just a short-lived reason to open?”

That maps cleanly to how teams actually work: onboarding, early lifecycle, then long-term product loops.


The numbers people will quote

They cite an “all apps” baseline around:

  • Day 1: ~26%
  • Day 7: ~13%
  • Day 30: ~7%

Then they share a Day 30 view by industry (selected examples from the table):

  • News: 11.3%
  • Business: 5.1%
  • Shopping: 5.0%
  • Finance: 4.6%
  • Health & Fitness: 3.7%
  • Productivity: 3.2%
  • Social: 2.8%
  • Gaming: 2.4%
  • Education: 2.1%

Whether you accept the exact decimals or not, the direction is the point: Day 30 norms are heavily category-shaped.


The non-obvious takeaway for growth teams

If you are “below benchmark” at Day 30, your fix is often not more messaging. It is usually one of:

  1. Wrong acquisition promises (you got the install, then failed the first-hour proof moment)
  2. Weak repeatable value (no reason to come back without external nudges)
  3. A category cadence mismatch (shopping and travel are cyclical, utilities are “as-needed”)

The most actionable move is aligning your lifecycle tactics to your category’s natural return rhythm.


Tiny win to steal this week

Run a retention post-mortem that does not blame the channel:

  1. Pull Day 1, Day 7, Day 30 by your top 3 acquisition sources.
  2. For each source, write the “promise” in one sentence (what did the ad/store page imply?).
  3. Identify the first in-app proof moment. Is it delivered in the first session?
  4. If Day 7 is low, ship one repeatable loop that does not rely on push (saved state, streak, content unlock, progress).

Read the original: https://growth-onomics.com/mobile-app-retention-benchmarks-by-industry-2026/

Editor: App Store Marketing Editorial Team

Insights informed by practitioner experience and data from ConsultMyApp and APPlyzer.

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