How Much Extra Churn Can an App Subscription Price Increase Survive?

How to Use This Tool

Compare net monthly proceeds before and after a price change with an editable churn response. Calculate incremental app subscription proceeds after a price increase, store commission and expected subscriber loss.

The failure App Price Increase is designed to catch

A price increase can grow proceeds even after some cancellations, but the break-even loss rate depends on the size of the increase, not a universal benchmark. The boundary is the job stated in How Much Extra Churn Can an App Subscription Price Increase Survive?; App Price Increase is not intended to score or transform a different workflow.

The App Price Increase input contract

The fields used for this specific operation are Current monthly price, New monthly price, Current subscribers, Subscriber loss after increase %. Keep the source values beside the App Price Increase result, because replacing the original would remove the evidence needed to reproduce or reverse the operation.

• For App Price Increase, Current monthly price starts at 10 in the worked case; replace that example with the matching source value.
• For App Price Increase, New monthly price starts at 12 in the worked case; replace that example with the matching source value.
• For App Price Increase, Current subscribers starts at 1000 in the worked case; replace that example with the matching source value.
• For App Price Increase, Subscriber loss after increase % starts at 2 in the worked case; replace that example with the matching source value.

Worked result for App Price Increase

The executable case called Default decision scenario expects out: $1,496.00. Verify that observation before entering real material, and then change one App Price Increase field at a time so an unexpected direction or formatting change can be traced to a specific input.

Reading the App Price Increase output

It combines current monthly price, new monthly price, current subscribers and subscriber loss after increase % into one decision result using the formula explained on the page. Apply that answer only when Current monthly price, New monthly price, Current subscribers, Subscriber loss after increase % describe the same scope and format as the worked operation. If the source uses different units, quoting, nesting, timing or account rules, a plausible-looking App Price Increase output is not sufficient validation.

Assumptions attached to App Price Increase

• App Price Increase assumes that all inputs describe the same unit or reporting period unless the field explicitly says otherwise.
• App Price Increase assumes that the model includes only the four visible inputs and does not infer hidden platform charges.

If one of these App Price Increase assumptions is false, keep the result as a diagnostic rather than production or decision data, and choose an implementation that explicitly supports the missing rule.

Evidence maintained for App Price Increase

The recorded reference is Apple Developer — App Store Connect. Reopen that source when the definition, format, fee or policy behind App Price Increase changes; private configuration and downstream acceptance still have to be checked in the user's own system.

Where App Price Increase runs

The named operation executes in browser JavaScript without an ecech calculation API. For App Price Increase, local execution reduces transmission but does not control browser extensions, device security or the destination where the result is pasted, so sensitive inputs still require the user's normal handling rules.