See Subscription Contribution After Store Share and AI Usage

How to Use This Tool

Subtract store commission, model usage and support before scaling acquisition. Calculate AI app monthly contribution per subscriber from price, store commission, AI usage and support cost. Uses editable inputs and runs locally.

The failure AI App Margin is designed to catch

An AI app can grow paid subscribers while shrinking contribution if usage per customer rises faster than subscription revenue. The boundary is the job stated in See Subscription Contribution After Store Share and AI Usage; AI App Margin is not intended to score or transform a different workflow.

The AI App Margin input contract

The fields used for this specific operation are Monthly subscription price, Store commission %, AI usage cost per subscriber, Support cost per subscriber. Keep the source values beside the AI App Margin result, because replacing the original would remove the evidence needed to reproduce or reverse the operation.

• For AI App Margin, Monthly subscription price starts at 20 in the worked case; replace that example with the matching source value.
• For AI App Margin, Store commission % starts at 15 in the worked case; replace that example with the matching source value.
• For AI App Margin, AI usage cost per subscriber starts at 3 in the worked case; replace that example with the matching source value.
• For AI App Margin, Support cost per subscriber starts at 1 in the worked case; replace that example with the matching source value.

Worked result for AI App Margin

The executable case called Default decision scenario expects out: $13.00. Verify that observation before entering real material, and then change one AI App Margin field at a time so an unexpected direction or formatting change can be traced to a specific input.

Reading the AI App Margin output

It combines monthly subscription price, store commission %, ai usage cost per subscriber and support cost per subscriber into one decision result using the formula explained on the page. Apply that answer only when Monthly subscription price, Store commission %, AI usage cost per subscriber, Support cost per subscriber 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 AI App Margin output is not sufficient validation.

Assumptions attached to AI App Margin

• AI App Margin assumes that all inputs describe the same unit or reporting period unless the field explicitly says otherwise.
• AI App Margin assumes that the model includes only the four visible inputs and does not infer hidden platform charges.
• AI App Margin assumes that the page never calls an AI model; token ratios, prices, limits and observed rates are user-supplied planning assumptions.

If one of these AI App Margin 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 AI App Margin

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

Where AI App Margin runs

The named operation executes in browser JavaScript without an ecech calculation API. For AI App Margin, 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.