Every month, your app loses revenue through invisible cracks — poor activation, silent churn, wasted ad spend. We find them. We fix them.
Statistochrone Insights is your MRR doctor. We run a full diagnostic on your customer behavior data and hand you a clear prescription.
82% of software products misuse their behavioral data. The result: they keep pumping budget into a leaky pipe.
You pour budget into acquisition. Conversion looks fine. But MRR stays flat — because the leak is downstream, not at the top of funnel.
Your activation funnel is broken. Users never hit the 'aha moment.' They leave before they understand what they're paying for.
You see the cancellations. You don't see the pattern. Without behavioral data diagnosis, every fix is a guess — and guesses are expensive.
We map every step of the customer journey against revenue data. You see exactly where users drop — and how much it costs.
Statistochrone finds the exact features and behaviors that predict long-term retention. Focus there. Not everywhere.
Investing in retention delivers 3x the ROI of acquisition spend. We show you which levers to pull — with data, not hunches.
Works with Google Analytics, Firebase, Amplitude, Mixpanel, or your custom setup. No engineer needed. We pull the signals — behavioral events, conversion funnels, subscription states.
Our systematic model audits every factor influencing your revenue: acquisition quality, activation rate, feature adoption, pricing fit, and churn triggers. All of it, in one report.
Not a data dump — a ranked action list. The highest-impact fixes first, with estimated MRR impact per action. You know exactly what to build, cut, or change.
Most founders stare at dashboards full of numbers and feel nothing. Statistochrone Insights delivers what those dashboards can't: the story behind the numbers, with ranked actions tied to real MRR impact.
See exactly how healthy your revenue is. Are new customers covering churn? By how much? One number. Full clarity.
Trace the exact steps customers take before they cancel. Find the behavioral patterns that predict drop-off.
See where users fall off before they reach value. Fix the steps that cost you the most retention.
What channels bring users who actually stay? Stop paying for traffic that churns in week two.
Which features make customers renew? Invest there. Cut the rest. Clear signal, no noise.
Is your pricing aligned with how customers use your product? Wrong packaging kills MRR silently.
Drag the slider to your current MRR and see your estimated recovery.
Estimates based on median outcomes across 200+ diagnosed apps. Individual results vary.
If your revenue depends on users coming back — not just arriving once — you have a usage-habit business. Every model below lives or dies on the same thing: repeated behavior. That's exactly what Statistochrone measures, finds breaks in, and helps you fix.
Recurring MRR that compounds with every retained cycle.
Per-action revenue where repeat usage is the whole game.
Free tier that only pays off when habits drive the upgrade.
Cart frequency and return visits are your real margin.
Ad revenue scales with time-on-app and session depth.
Payouts tied to actions only habits reliably produce.
Browser sessions, funnels, and retention — measured across desktop and responsive web.
iOS and Android event streams, push-driven re-engagement, and in-app habit loops.
You take your car in for service. You visit a doctor for a checkup. But your app — which generates your livelihood — runs on blind guesses.
Statistochrone is your financial physician for software. We run the tests. We read the results. We tell you exactly what's wrong and what to fix first.
The only question is: how long do you wait before getting checked?
Ask a user what they want and you'll get a confident, thoughtful, completely misleading answer. People don't lie on purpose — they describe the person they want to be, not the actions they actually take. Your analytics stack doesn't have that problem.
"The 'Get Ready to Grow' report helped the Sequoia team understand the existing opportunities to improve the app and increase customer retention. It inspired me personally, as well as my team, with the detailed explanation of each metric analyzed and the inclusion of examples. Along with this, the report highlighted great-performing customer activation-related events that are extremely important for subscription-based apps like ours."

"I was spending $15K/month on ads with flat growth. Statistochrone showed me activation was broken at step 3 of onboarding. Fixed that, stopped ads. MRR grew anyway."
"The feature retention map alone was worth it. We found out our most-used feature was not what kept people. We doubled down on the right one. Renewals jumped."
Your competitors are fixing their leaks right now. Get your MRR diagnostic before your next renewal cycle becomes your worst one yet.