Data product
Choose the metric you measure, enter your number, and see where it sits against every published benchmark that can speak to it — each source read separately, with how closely it matches your context stated.
Every number here is traceable to a primary source. None of them have been averaged together.
Choose what you measure and enter your number. You will get every credible published benchmark that can speak to it, each compared separately — never averaged into one figure.
Each source is compared against independently. Nothing here is averaged across sources, and there is no combined industry figure. This runs entirely in your browser. Your figures are never sent anywhere, never stored, and never included in analytics — only which metric you chose is counted.
Who comes back, and who keeps paying. The word covers at least four incompatible measurements, which is why they are kept apart here.
98 observations
Installs to trials, trials to paid, installs to paid. The denominator is everything: these rates differ by more than an order of magnitude.
86 observations
What share of subscriptions survive each billing cycle — and why per-cycle rates rise while cumulative retention falls.
33 observations
Refund rates, why subscriptions end, when they end, and how often churned subscribers come back.
25 observations
Revenue per install and realised lifetime value per payer — two numbers that are routinely confused.
27 observations
There is no industry-average figure on this site. Where several sources measure the same thing, they are shown side by side with the differences named.
Only dimensions with at least two values in the current set appear. A filter that cannot change the result is not shown.
275 observations