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See what a better listing is worth in installs.
Model how a change in conversion rate affects installs per month, quarter and year. Add your own value per install when you need a rough money figure.
- Math you can check
- Your own numbers
- No signup
Small rate changes add up.
Use your real product-page visitors and a realistic target rate to see what a listing experiment means per month, quarter and year.
- Visitors
- Conversion rate
- Install lift
A calculator makes assumptions visible, not certain.
Use product-page visitors
Store impressions and product-page visitors are different steps in the funnel. Use the people who actually reached your product page, with the matching install rate. Mixing the two can overstate the lift.
Set a realistic target
Base the target on past experiments, category benchmarks you trust, or a deliberately small improvement. The calculator can't know whether six points is feasible for your traffic, creative, ratings or product.
Volume stays constant
Visitors are held steady to isolate conversion. In reality seasonality, featuring, paid traffic, country mix and keyword rank change both volume and visitor quality, so recalculate when your acquisition mix moves.
Value is your number
The optional value per install is your own assumption. Use an observed contribution or lifetime value only when its definition is clear. AppTrendKit doesn't infer revenue from this scenario.