content="Churn Radar watches the disengagement signals across your accounts — usage drops, late invoices, quiet replies, a departed champion — and flags which clients are drifting weeks before they tell you. Fixed-fee pilot; miss the bar and you don't pay." />

Productized offer · Retention

Clients don't leave suddenly. They leave slowly, then all at once.

Weeks before "we're moving on," the signs are already there — usage drops, invoices get paid late, replies go short, your champion quietly leaves. Churn Radar watches those signals across every account and flags who's drifting, with the evidence, while there's still time to do something about it.

Churn Radar — account health monitoring
6 accounts · click any for evidence
Run the simulation —
watch the disengagement signals arrive.
Accounts drifting: 0 of 6 MRR at risk: $0 Earliest warning:
5–7×
cheaper to keep a client than to win a new one. Retention is the highest-leverage number you're not watching.
3–8 wks
of warning the signals give before a client actually says they're leaving. That's your window to act.
1 champ
leaving is the single strongest predictor of churn. Most founders find out at the exit interview.
100%
of flags come with the underlying evidence. No black-box score — you see exactly why it's worried.

The problem

By the time a client tells you they're leaving, they decided a month ago.

Churn is almost never a surprise in hindsight. The signals were there — you just weren't looking at them, because they live in five different tools and nobody's job is to connect them.

01 / The quiet fade

The client doesn't complain — they just log in less, reply slower, pay later. Silence reads as "everything's fine" right up until it isn't.

02 / The scattered signals

Usage in your product, invoices in your accounting, sentiment in your inbox, org changes on LinkedIn. No single person sees the whole picture — so nobody does.

03 / The gut-feel miss

You "have a sense" of which clients are happy. That sense is calibrated on whoever you spoke to last, not on the accounts quietly drifting in the background.

How it works

Three weeks from scattered signals to an early-warning system.

Week 1 — Connect the sources

Product usage, invoicing/payment timing, email & support sentiment, your CRM. Churn Radar builds one timeline per account from the tools you already use.

Week 2 — Learn your churn

We look back at the clients you actually lost and read the signals they gave first. The model learns what "drifting" looks like for your business, not a generic SaaS benchmark.

Week 3 — Live, with evidence

A weekly health board plus real-time flags when an account crosses a threshold. Every flag links to the evidence and a suggested intervention. You decide; it watches.

The difference

A health score you can't interrogate is just a mood ring.

Plenty of tools show a red/yellow/green dashboard. The difference is whether you can ask "why?" and get a real answer.

✕ The dashboard

"Account health: 54/100 ⚠" — and nothing else. Why 54? Which way is it moving? What changed this week? What do I actually do?

— A number that makes you anxious without making you useful. You learn something's wrong at the same time you'd have noticed anyway.

⚠ A score without a reason is trivia.
✓ Churn Radar

"Northgate: drifting. Usage −40% over 3 wks, invoice paid 12 days late (was always early), champion Priya left 3 wks ago, new contact never onboarded. Suggested: re-onboarding call this week."

— Every flag is a story with receipts. You walk into the save-conversation knowing exactly what changed and when.

✓ Evidence first. Intervention while it matters.

Pricing

Fixed fee. Agreed early-warning bar. Miss it and you don't pay.

No per-seat pricing. The fee is known before we start.

The pilot — 3 weeks
$6,000 fixed fee
  • Connect your usage, billing, email & CRM sources
  • Per-account signal timeline + health board
  • Model tuned on your actual churn history
  • Agreed early-warning bar — measured, in writing
  • Every flag ships with evidence + suggested action
Start the pilot →
After the pilot
$900 /month
  • Continuous monitoring + real-time drift flags
  • Weekly health digest across all accounts
  • Model re-tuned as you win & lose clients
  • Cancel any month; your data leaves with you
Ask a question →
§ The guarantee: before go-live we agree the early-warning bar in writing — that it flags drifting accounts a set number of weeks ahead, above an agreed precision (so it doesn't cry wolf). If the measured result misses the bar at the end of the pilot, you don't pay the pilot fee.

Questions

The things everyone asks before wiring it into the accounts.

Is this just another red/yellow/green dashboard?

No — the score is the least interesting part. Every flag comes with the evidence underneath: which signals moved, when, and by how much, plus a suggested intervention. If you can't ask it "why?" and get a useful answer, it hasn't done its job. The whole point is walking into a save-conversation already knowing what changed.

What data does it need?

Whatever you already have: product usage, invoicing/payment timing, email and support sentiment, CRM activity, and optionally public org signals like a champion changing jobs. In week one we connect the sources you use; if you don't have product-usage data (a pure services business), the model leans on communication and payment behaviour instead.

I'm a services business, not SaaS. Does churn even "signal" for me?

Yes — differently, but clearly. For retainers and project clients the signals are engagement-based: slower replies, fewer revisions requested, meetings declined, invoices paid later, a sponsor going quiet. Those are exactly the patterns Churn Radar learns from your own history of clients who left.

How does it avoid crying wolf?

Precision is part of the agreed bar. A flag only fires when multiple independent signals move together, not on a single dip — one late invoice doesn't trigger anything, but a late invoice plus a usage drop plus a departed champion does. Week two is spent tuning that threshold on your history so false alarms stay rare enough that you keep trusting it.

What am I supposed to do with a flag?

Each one comes with a concrete suggestion — re-onboard the new contact, get a senior person on the next call, surface an unaddressed support issue. The system watches and advises; the relationship work stays human. Most clients find the suggested action is the part they'd have paid for alone.

Fit

Who this is for — and who should keep their money.

✓ Built for

  • B2B service firms and SaaS with 10–200 accounts
  • Founders who learn about churn at the exit conversation
  • Teams whose retention signals are scattered across tools
  • Anyone who's said "we should have seen that coming"

✕ Not for

  • High-volume, low-touch consumer churn — different problem
  • Businesses with a handful of clients you already know intimately
  • Anyone wanting a magic number with no evidence behind it
  • Teams with no historical churn data to learn from yet

Next step

One email. Twenty minutes. I'll tell you which of your accounts I'd watch first.

Tell me how many clients you have and what tools the signals live in. I'll tell you honestly whether Churn Radar would have caught your last loss — and whether it'll catch the next one.

Replies within one business day.