Professor ARPDAU vs RevenueCat

Professor ARPDAU is a web service for product managers and teams working on free-to-play mobile games. Its analytics tools model retention, lifetime value, campaign break-even timing, daily active users and revenue. The retention calculator fits a regression curve from D1, D3, D7 and optional D30 observations; at least two observations are needed, while a 0% observation is excluded. The LTV predictor multiplies ARPDAU by the retention-curve total. A break-even analyzer uses CPI, observed LTV and retention metrics to estimate when cohort revenue exceeds acquisition cost. Another predictor models DAU from daily installs and retention scenarios, then estimates daily revenue with ARPDAU. Its geographical pricing tool can update in-app prices by country, with user-controlled targeting and adjustments, using Google Play Console access and Google’s API. Free modeling tools need no account.

RevenueCat helps developers manage in-app purchases and subscriptions across platforms. Its Purchases SDK implements purchases and subscriptions and syncs tokens with RevenueCat's server. Developers can configure paywalls remotely and run A/B tests for pricing models. The dashboard lists reporting for 40+ metrics, automated daily normalized data deliveries, and real-time webhook notifications. RevenueCat Web supports RevenueCat Billing, Stripe Billing, and Paddle Billing, along with a web SDK, purchase links, paywalls, funnels, and external purchase sync. Listed integrations include Adjust, AppsFlyer, Meta Ads, Amplitude, Mixpanel, Braze, Intercom, Slack, Segment, Stripe, and Paddle. App-store subscription events are detected server-side and can be forwarded to configured third-party tools. Pro costs nothing up to $2,500 in monthly tracked revenue, then charges 1% of tracked revenue. Growth Tools has no listed price; its features include paywalls, web-to-app funnels, and A/B/n testing. Enterprise pricing is custom and usage-based. The company describes its audience as developers ranging from new teams to those scaling to millions of customers.