The Product Manager's Best-Kept Secret
Professor Arpdau's web-based tools help you predict and unlock customer lifetime value.
Professor Arpdau's web-based tools help you predict and unlock customer lifetime value.
Literally. This website is a collection of (mostly free) easy-to-use analytics and pricing tools developed by me, Russell Ovans. I wrote the book Game Analytics.
I built this website so that you wouldn't have to read my book in order to benefit from its predictive models of retention and monetization in free-to-play mobile games. Instead, many of the concepts are provided here as a subscription-free service.
It's free and as easy as 1-2-3-4.
No account creation is required.
None of your company data is ever stored on our servers.
See our Terms of Use and Privacy Policy for details.
Knowing your retention curve's formula is the first step in predictive analytics for any mobile app. Plug in your observed D1, D3, and D7 retention values and get your model. Play around with various scenarios for different cohorts.
How much revenue is each user expected to generate in their first n days? Now that we know your retention curve, enter your average revenue per daily active user (ARPDAU) to predict lifetime value for new installs.
An ad campaign's cost per install was X and that cohort's LTV is Y... when will it break even and become profitable? Explore how return on ad spend (ROAS) defines your expected days to break-even.
How much money is your game going to make? Let us predict your daily active users (DAU) and daily revenue. We are better, faster, and more accurate than your clunky spreadsheet method.
Manually changing your app's prices by country in the Google Play console is tedious and mysterious. But if you aren't doing it, you are leaving money on the table!
Now you can quickly and easily:
