Baremetrics vs WorthSignal

Baremetrics is subscription analytics software for businesses that track recurring revenue. It reports more than 28 metrics, including MRR, ARR, churn, upgrades and downgrades, alongside cohort analysis, predictive CLV, profitability metrics and customer segmentation. Forecasting addresses hiring, expansion and departmental budgets. Growth includes custom dashboards. Cancellation Insights collects cancellation feedback, shows revenue lost by reason and can send personalized follow-up emails. Payment Recovery supplies automated tools and reminders for failed payments. Native integrations include Stripe, Shopify Partners, Braintree, Recurly, App Store Connect, Google Play and Chargebee. Other data can enter through the API or Intercom and Zapier integrations. The service runs on the web and through an API. Launch starts at $75/mo with one integration, Growth at $255/mo with two, and Scale at $1152/mo with unlimited integrations. Payment Recovery and Cancellation Insights each cost $129/mo as add-ons. There is no free plan, but a 14-day trial is available.

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.