Products · #02 · Sales & Marketing
TIER S BLUEPRINT

Calibrated Churn Predictor

Most churn models give a score nobody trusts. This one gives calibrated probabilities with a reason for each - so retention spend actually pays off.

from €1,690

NIGHTLY SCORING - SUBSCRIBER BASE

Subscribers · 48,000
UAB Nova Praktika€199/mo72%
Greta K.€29/mo6%
Rimas L.€59/mo31%
UAB Delta Grupė€99/mo9%
Jonas P.€29/mo4%

…47,995 more scored in 41s

UAB Nova Praktika · 14 seats · 26 mo tenure

72%

churn probability, next 30 days · calibrated - when this model says 70%, ~70% actually leave

Why - top 3 drivers
Core feature usage down 41% over 6 weeks
No admin login for 14 days
0 new team members invited this quarter
→ ROUTED: personal outreach + annual-plan offer (save flow A - not the generic email blast)
model v12 ▸ ECE 0.031 · drift OK · logged ⛓ #9,412

How it works

01

Connect, read-only

Billing + CRM + product usage (Pipedrive, HubSpot, your DB). No PII leaves your environment; the model trains on behavior, not identity.

02

Calibrated probability per customer

Not a vague "high/medium/low" - a percentage that means what it says, validated with a reliability curve you can inspect.

03

A reason, in plain language

Top-3 drivers per customer (usage drop, login gap, seat shrinkage) - so marketing builds three targeted save flows instead of one generic blast.

04

It tells you when it goes stale

Drift monitoring watches your customer mix; when behaviour shifts, you get an alert and a retrain - not silently wrong scores.

The Four Guarantees™ - this build

Measured value

~5% of churned ARR recovered (€30k/yr at reference) + €10-15k/yr retention-spend reallocation. Brier/ECE eval gate before ship.

Defensible

A reason for every score (GDPR Art. 22 ready); protected attributes excluded by design and audited for proxies; every score logged.

Self-correcting

Isotonic-calibrated probabilities; PSI/KS drift alerts on customer features; champion/challenger retraining - accuracy compounds.

Yours & everywhere

Your cloud, full source handover, CRM write-back. MCP scoring endpoint your own agents and copilots can call.

The number, sized honestly

Reference buyer: Baltic SaaS / telco, ~50,000 subscribers, €20/mo ARPU, ~5%/month churn (≈ €600k churned ARR/yr).

~5% of churned ARR recovered - the agreed number (conservative)
€30k+ per year retained, plus €10-15k spend reallocated
~2.6 mo payback at the PoC tier
ECE ≤ 0.05 calibration gate - or it doesn't ship

Three ways to own it

Tier What you get Price
Scaffolding The full repo - model + calibration + eval harness, Annex IV, audit log, MCP server. Your team wires it to your data. €1,690
PoC ★★RECOMMENDED Trained on your subscriber history - calibration and lift measured on held-out months of your own data. Full code + quality report are yours. No guarantee until your data has spoken. from €5,000
Implementation ★★★ Production: scoring live in your stack, save-flow wiring, calibration monitoring, scheduled retraining, monthly value report - the agreed number (conservative) attaches here. from €15,000

★ = engagement depth. PoC is the recommended path: quality proven on your data before production money. The PoC carries no performance guarantee by design; the agreed number (conservative) attaches at Implementation, informed by the PoC report.

What we don't promise

If your product is genuinely broken, no targeting fixes churn. The model finds who's leaving and why - it can't make them stay against their interest. We say this on the discovery call, not after the invoice. And with under ~18 months of labelled history, expect wider year-one variance - we'll show you the confidence intervals, not hide them.

Ready to see your own number?

Request the build: within 48h you get a personal reply with the value sized to your volume.

No commitment · reply within 48h · your data stays in the EU