Attribution & Measurement

Reinstall

Also known asRe-InstallRe-DownloadReattribution

When a user downloads an app they previously had installed and removed — a distinct event from a true new install, handled by attribution via reattribution rules.

Key takeaways

  1. 01A reinstall is a returning user re-downloading an app they previously uninstalled — not a brand-new user.
  2. 02MMPs separate reinstalls from new installs and apply "reattribution" rules — crediting a campaign for winning back a lapsed user within a window.
  3. 03Counting reinstalls as new installs inflates acquisition numbers and distorts CAC / LTV — a common reporting error.
  4. 04Reinstalls are a win-back signal: a re-engagement or retargeting campaign that drives a reinstall is doing acquisition-adjacent work.

A reinstall is what happens when a user downloads an app they had previously installed and then removed. To the app store it can look like any other download, but for measurement it's a fundamentally different event from a true new install — the person is a returning user, not net-new acquisition. Getting this distinction right is essential for clean UA economics.

How attribution handles reinstalls

MMPs recognize a returning device/user and classify the event as a reinstall rather than a new install. They then apply reattribution logic: if a re-engagement or retargeting campaign touched the user within a defined reattribution window before the reinstall, that campaign can be credited with the win-back — distinct from new-user [[install-attribution]]. This keeps "new users acquired" and "lapsed users won back" as separate lines rather than conflating them.

Why the distinction matters for economics: if reinstalls are silently bucketed as new installs, your acquisition volume looks bigger and your CAC looks better than reality — you're partly paying to re-acquire users you already had. Mature programs report new installs and reinstalls separately, attribute win-backs to [[re-engagement]] / retargeting rather than acquisition, and treat a reinstall as a positive [[retention]]-recovery signal in its own right. Note that post-[[att]], detecting reinstalls on iOS is harder without the IDFA, so reattribution leans on SKAdNetwork and first-party signals.

Quick answers

What is a reinstall in mobile apps?

A reinstall is when a user downloads an app they previously had installed and removed. It's a returning user, not net-new acquisition — so MMPs classify it separately from a new install and apply reattribution rules to credit any win-back campaign that drove the return.

How is a reinstall different from a new install?

A new install is a genuinely new user; a reinstall is a returning one re-downloading after uninstalling. MMPs detect the returning device/user and label the event a reinstall, then apply "reattribution" — crediting a re-engagement or retargeting campaign within a window. Treating reinstalls as new installs inflates acquisition counts and flatters CAC.

Why do reinstalls matter for UA reporting?

Because mislabeling them distorts your economics. If reinstalls are counted as new installs, acquisition volume looks larger and CAC looks lower than reality — you're partly re-buying users you already had. Report them separately, attribute win-backs to re-engagement rather than acquisition, and treat a reinstall as a retention-recovery signal.

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