TL;DR
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.
A customer intelligence dashboard should answer one question ahead of time: which accounts are about to leave? Most tools answer it after the fact. A cancellation arrives, MRR dips, and you reconstruct what went wrong from historical data that is already stale.
Traditional BI tools like Looker or Tableau can surface customer data, but they require a data team to build the models, define the metrics, and keep the pipeline running. That is the wrong investment for a company that needs to act on risk today.
RetentionLens builds your customer intelligence dashboard directly from Stripe. Connect your billing account and every customer gets a health score, a churn probability, and a set of payment signals — computed daily using Cox proportional hazards regression, with no SQL to write and no model to maintain.
What gets in the way
- BI tools require a data team to build and maintain custom churn models.
- Account health is guesswork — there is no objective signal until the customer cancels.
- Payment failure history and retry patterns sit in Stripe but never surface as risk signals.
- Retention effort is spread evenly across all accounts rather than concentrated on those most likely to leave.
- A 14-day warning window is wasted because there is no early-warning system in place.
How RetentionLens helps
Per-account churn probability
Cox proportional hazards regression scores every customer on likelihood to churn, updated daily from Stripe. You see a ranked list of accounts, not a blended churn rate — so you know exactly who to call this week.
Payment behavior signal
Failed payments, retry counts, and payment method decay are surfaced as risk signals per account. An account with two failed retries in the last 30 days looks very different from one in good standing — and RetentionLens shows that difference.
Customer health score
Each account gets a composite health score that combines tenure, payment behavior, and MRR trajectory. Health trends let you spot a declining account weeks before it asks to cancel.
Expansion and contraction trends
Accounts that have downgraded, paused, or contracted show a leading signal of churn. RetentionLens tracks MRR movement per account so contraction surfaces before cancellation.
14-day churn warnings via Watchtower
Watchtower alerts fire when an account crosses a risk threshold — giving your team a 14-day intervention window before the renewal or next billing cycle where the risk is highest.
No data team required
The models, metric definitions, and pipeline are pre-built for Stripe billing data. There is no warehouse to model, no dbt project to own, and no analyst needed to get started.
Metrics you live in
Frequently asked questions
What is a customer intelligence dashboard?
A customer intelligence dashboard is a per-account view of health, risk, and behavioral signals that lets revenue teams act on churn before it happens. Unlike a standard MRR dashboard — which shows aggregate metrics after the fact — a customer intelligence dashboard ranks individual accounts by risk so CS and retention teams know who to prioritize.
How does RetentionLens score customer health?
RetentionLens computes a health score for each account by combining payment behavior (failed payments, retry history, payment method age), tenure (how long the customer has been active), and MRR trajectory (expansion, contraction, or flat). The score is updated daily from Stripe so it reflects the current state of each account.
What data does RetentionLens use to predict churn?
RetentionLens uses your Stripe billing data: subscription start and end dates, payment history (charges, failures, retries), MRR changes (upgrades, downgrades, cancellations), and customer tenure. It applies Cox proportional hazards regression to this data to produce a per-account churn probability — no additional integrations required.
How is RetentionLens different from a BI tool for customer intelligence?
A BI tool like Looker or Tableau requires a data team to model the data, define churn logic, build the pipeline, and maintain it over time. RetentionLens is pre-built for Stripe billing data — the metric definitions, ML models, and pipeline are included. You connect Stripe and the customer intelligence dashboard is ready, typically within minutes of the first sync.
Other use cases
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Use case last reviewed 2026-05-30.