Free app-store conversion calculator
Translate a better listing into an install scenario.
Model how a conversion-rate change affects monthly, quarterly, and annual installs. Add your own per-install value when you need a directional financial case.
Scenario canvas
Monthly modelSmall rate changes compound.
Use actual product-page visitors and a realistic target rate to translate a listing experiment into monthly, quarterly, and annual install scenarios.
Visitors
Conversion
Lift
Use a defensible baseline
A calculator makes assumptions visible, not certain.
Use product-page visitors
Store impressions and listing visitors are different funnel stages. Use the number of people who actually reached the product page with the corresponding install conversion rate. Mixing the stages can overstate the reachable lift.
Set a realistic target
A target should come from prior experiments, category benchmarks you trust, or a deliberately small improvement. The calculator does not know whether a six-point change is feasible for your traffic, creative assets, ratings, or product.
Keep volume constant
The scenario holds visitors steady to isolate conversion. In reality, seasonality, featuring, paid traffic, country mix, and keyword rank can change both volume and visitor quality. Recalculate when the acquisition mix moves.
Separate value from revenue estimates
The optional value input is your own assumption. Use an observed contribution or lifetime-value figure only when its definition is clear. AppSignal does not infer revenue from the conversion scenario.