AI-powered, Human-reviewed.
Six vital signs
Everything that moves your recurring revenue
Each one updates as transactions happen — not on a delay, and not because someone remembered to export a report.
01 / MRR
MRR & recurring revenue track
New, expansion, contraction, and churned MRR broken out separately, plus month-over-month and year-over-year comparisons and a forward forecast.
02 / Churn
Churn & retention analytics
Voluntary vs. involuntary churn, broken out by plan, channel, and segment — catch an at-risk subscriber before they cancel..
03 / Growth
Subscriber growth trends
New, reactivated, and churned subscribers side by side over any window, so you see which channels actually retain.
04 / Plans
Product & plan performance
Ranks every plan by revenue, retention, and margin — not sign-ups — so you know which tier quietly prints money.
05 / Cohorts
Cohort & LTV analysis
Subscribers grouped by signup month, tracked over time — retention curves per cohort, not one flattened average.
06 / Live
Real-time dashboard
Every number above on one screen, filterable by date, plan, channel, or segment — shareable as a live view.
Cohort & LTV
Retention, read cohort by cohort
Group subscribers by signup month and watch each group's retention curve on its own — that's where problems and wins actually surface, not in a flattened average.
Cohort analysis needs history to mean anything: plan on 6–12 months of data before drawing firm conclusions from it.
Explore Shopify integrations
Setup
Three steps, in order
No developer needed. Setup takes under 10 minutes.
01 — Connect
Link your billing data
No CSV exports, no developer ticket required for the standard setup.
02 — Track
Watch it populate
MRR, churn, growth, and cohort data fill in automatically, updated as transactions happen.
03 — Act
Fix what you see
Catch a payment-failure spike, flag a high-churn plan, or double down on your best-LTV channel — retention and dunning tools plug into the same data.
The alternative
Versus the spreadsheet you already have
It works — until your subscriber count crosses a few hundred and the hours spent reconciling numbers cost more than the tool would.
| Feature | Spreadsheet tracking | Subscription analytics reporting |
| Update frequency | Manual, weekly or monthly | Real-time, continuous |
| Error risk | High — broken formulas, stale exports | Low — pulled directly from billing |
| Cohort & LTV analysis | Painful to build, easy to get wrong | Built in, calculated automatically |
| Time to insight | Hours per report | Seconds |
| Team access | One file, one owner, version conflicts | Shared live dashboard, no conflicts |
Frequently Asked Questions
What is subscription analytics reporting, exactly?
Tracking and visualizing recurring revenue metrics — MRR, churn, retention, LTV, plan performance — in one live dashboard, instead of piecing them together by hand from billing exports.
Which metrics should I track first?
Start with MRR, churn rate, and subscriber growth — together they tell you whether the business is actually growing or just looks busy. Cohort and LTV analysis matter more once you have a few months of history.
What's the difference between gross and net MRR churn?
Gross MRR churn counts only revenue lost to cancellations and downgrades. Net MRR churn subtracts expansion revenue from upsells and upgrades first — it can go negative if upgrades outpace cancellations.
How much subscriber history do I need for cohort analysis?
Roughly 6 to 12 months. Any shorter and retention curves are too noisy to draw real conclusions from.
Can this replace my spreadsheet entirely?
For day-to-day tracking, yes. Most teams keep a spreadsheet around for one-off analysis but stop rebuilding recurring reports by hand once MRR, churn, and cohort data live on a dashboard.
Does this connect to retention and dunning tools?
Yes — the same subscriber and revenue data feeding the dashboard also powers retention workflows and dunning management, so an insight turns into action without exporting anything.
