Built for the whole revenue org

For SaaS Founder

Know your numbers — and who is about to leave — without a data team

RetentionLens gives B2B SaaS founders Stripe-native MRR, ARR, NRR, GRR, churn and cohort analysis the moment they connect Stripe, plus predictive churn-risk scores that flag at-risk accounts before they cancel. A 14-day free trial lets a solo founder run real subscription analytics from day one — without a spreadsheet or an analyst.

For RevOps Leader

A defensible source of truth for retention — without building a pipeline

RetentionLens gives RevOps leaders a single, Stripe-native source of truth for net and gross revenue retention, expansion, contraction and cohort analysis, plus predictive churn-risk scoring at the account level. It replaces brittle BI pipelines and reconciles to Stripe, so the retention numbers in the board deck match the system of record.

For CFO / Finance

Revenue-retention metrics your board and your auditors will both accept

RetentionLens gives finance leaders MRR, ARR, NRR, GRR and churn computed directly from Stripe, with cohort and survival analysis for defensible retention forecasting and predictive churn-risk scoring to anticipate revenue at risk. Because the metrics derive from the billing system of record, they hold up in board reviews and diligence.

For Customer Intelligence Dashboard

Your customer intelligence dashboard, powered by Stripe

RetentionLens is a customer intelligence dashboard for B2B SaaS that reads your Stripe billing data and produces per-account health scores, churn probability (Cox regression), payment behavior signals, and 14-day churn warnings — updated daily, with no data team or custom modeling required. Every account is ranked by risk so retention effort goes where it will matter most.

For CS / Retention Lead

A prioritized save-list — so your team works the right accounts first

RetentionLens gives customer success and retention leaders predictive churn-risk scores and customer health scoring computed from Stripe data, turning churn from a lagging metric into a prioritized list of accounts to save. Instead of treating every customer equally, your team focuses on the accounts most likely to cancel next.