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How Many Active Users Are Exposed by Ending Old-Version Support?

Translate version share into the user cohort requiring migration or communication.

users
percent

Active users in sunset cohort

Inputs modeled

2

10% more first input

Processing

Browser only

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How the calculation works

Observed inputsYour own periodTransparent formulaEditable assumptionsDecision outputActive users in sunset cohortCompare like-for-like periods before acting on the result.

How to Use This Tool

Translate version share into the user cohort requiring migration or communication. A low old-version percentage can still represent thousands of people who will lose functionality after a backend or compatibility cutoff.

Why Version Sunset Impact needs more than a raw total

Applying version share to the active population converts a technical support decision into a customer migration cohort. For this page, the useful comparison is active users in sunset cohort, not whichever input happens to be largest. The Version Sunset Impact result answers the decision in the heading and should not be reused as a score for a different workflow.

Entered Monthly active usersSame input plus 10%compare
Version Sunset Impact changes monthly active users alone for the secondary result, leaving every other entered value fixed.

The exact Version Sunset Impact formula

Affected active users equal monthly active users multiplied by the old-version share. The visible fields are Monthly active users and Share on versions to sunset. For Version Sunset Impact, read each printed unit before entry and make the values describe one transaction, cohort or reporting window. If those scopes differ, the displayed active users in sunset cohort may be arithmetically valid but operationally meaningless.

Interpreting active users in sunset cohort

Segment by platform and critical workflow, prepare upgrade messaging and support, and monitor adoption before enforcing the cutoff. The ten-percent comparison is deliberately narrow: it tests the influence of monthly active users and is neither a forecast nor a confidence interval. Preserve the values used, their dates and the resulting decision so a later reviewer can reproduce why Version Sunset Impact supported the choice.

What this Version Sunset Impact model leaves out

This is a cohort count, not predicted churn; it excludes inactive installs, multi-device users, forced-update behavior and version telemetry error. That is where Version Sunset Impact stops being trustworthy. If an excluded factor could reverse active users in sunset cohort, extend the model explicitly or use the authoritative account system instead of hiding the factor inside an unexplained adjustment.

Evidence and independent verification

The reference reviewed for Version Sunset Impact is Apple Developer — App Analytics filters and dimensions. Apple Developer — App Analytics filters and dimensions supports the named definition or rule but does not supply private values for active users in sunset cohort. Before acting on the result, reconcile the worked example with the relevant dashboard, invoice, export or measurement.

Private, reproducible calculation

Version Sunset Impact runs its arithmetic in the current browser tab and requests no login or API key. That keeps the Version Sunset Impact inputs away from the site's calculation server, while leaving the user responsible for detecting stale data or a changed platform rule. When an assumption changes, reopen Apple Developer — App Analytics filters and dimensions and rerun the saved Version Sunset Impact scenario.

Sources & assumptions

Tool Spec v2 · verified 2026-08-22. Platform rules and fees can change; the editable inputs remain authoritative for your account.

Official references

Model assumptions

  • Every input covers the same reporting period or cohort.
  • This is a cohort count, not predicted churn; it excludes inactive installs, multi-device users, forced-update behavior and version telemetry error.
  • The calculator uses only the visible fields and does not fetch account data.
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Frequently Asked Questions

What exactly does Version Sunset Impact return?
Version Sunset Impact returns active users in sunset cohort from the displayed formula: Affected active users equal monthly active users multiplied by the old-version share. No hidden account field participates in this result.
Which input should I verify first for Version Sunset Impact?
Start Version Sunset Impact with Monthly active users. A low old-version percentage can still represent thousands of people who will lose functionality after a backend or compatibility cutoff. Confirm the remaining Version Sunset Impact fields use the same scope and reporting window.
What does the Monthly active users sensitivity result mean?
It raises monthly active users by ten percent while holding the other fields fixed. Segment by platform and critical workflow, prepare upgrade messaging and support, and monitor adoption before enforcing the cutoff. It is not a probability or forecast.
When should I reject the Version Sunset Impact result?
Reject or extend the model when this limitation matters: This is a cohort count, not predicted churn; it excludes inactive installs, multi-device users, forced-update behavior and version telemetry error.
Which evidence was reviewed for Version Sunset Impact?
Version Sunset Impact cites Apple Developer — App Analytics filters and dimensions for the current definition; use your own source system for the account-specific values behind active users in sunset cohort.
Where does Version Sunset Impact process my inputs?
The calculation for active users in sunset cohort runs in browser JavaScript and requests no account credential or calculation API.

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