RevenueCat vs WorthSignal

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.

WorthSignal is a free, open-source toolkit that turns spreadsheet and data files into customer value analyses for marketers. It reads XLSX, XLS, XLSM, CSV and JSON files, suggests column mappings and lets users correct them without changing the uploaded file. Its analyses cover nine areas, including RFM targeting, customer lifetime value, customer equity, acquisition and retention budgets, Markov switching ROI, contractual retention, BG/NBD, BG/BB and complaint recovery. Results can be downloaded as Excel or JSON. In local mode, analysis runs in memory on the user's computer; WorthSignal says uploaded customer data is not intentionally sent to its maintainer or a third-party API. Hosted deployments process files on the chosen server, and that operator is responsible for access controls, logs, retention and privacy obligations. The app requires Python 3.10 or newer and can be launched on Windows or Mac, through terminal instructions for any operating system, or with Docker. Its documented methods are described as classic, deliberately simple models. The project uses the AGPL-3.0-or-later license, with commercial use subject to its conditions.