CashSDK Revenue Analytics vs ChurnLens

CashSDK Revenue Analytics tracks revenue, subscriptions, and retention from purchase events, reconciling raw events against App Store and Google Play payouts. It calculates MRR, LTV, churn, trial conversion, and cohort retention. Cohort views include retention by signup month, LTV and payback curves, and expansion or contraction. Churn analysis covers voluntary and involuntary churn, survival curves, and recovery through grace periods and dunning. Funnels break out impression-to-trial-to-paid conversion by paywall and experiment. Peer benchmark percentiles become available when a category has enough anonymized volume. Revenue events can be streamed or batch-exported in a normalized, versioned schema to BigQuery, Snowflake, or a data lake; CSV export is also described. Listed integrations include Segment, Snowflake, BigQuery, Slack, Zapier, Mixpanel, and Google Analytics. The maker says revenue data is not sold or shared and can be exported at any time. Standard costs $25/mo, includes the first $5,000 of monthly tracked revenue, then charges 0.5% of tracked revenue. Android, iOS, and macOS/Catalyst SDKs are available; Web and several other SDKs remain on the roadmap and are not yet published.

ChurnLens is a self-hosted SaaS metrics tool for calculating MRR, churn, and LTV from Stripe or CSV data. Its full report includes current MRR, ARR run-rate, active customers, average customer churn, and monthly figures such as net-new MRR and LTV. The `mrr` command breaks the latest month’s MRR movement into new, expansion, reactivation, contraction, and churned amounts. Reports can return JSON and use a chosen currency label, with USD as the default.

ChurnLens can recompute metrics from ledger updates and publish JSON to a BI or dashboard pipeline. It also lists SARIF output for code scanning, an MCP server for AI agents, and webhook forwarding for SIEM, Slack, and Jira. The README describes use through MCP, JSON piped into agents or LLMs, or CI with exit codes and SARIF. Installation options include pip, pipx, uv, Docker, Homebrew, and a shell script. It requires no account. The source-available license permits personal, internal evaluation, research, and educational use; commercial or production use requires a separate license. Pricing is on request.