Churn Radar
An AI customer-success platform that flags at-risk B2B accounts before they churn and prescribes the save-play to run.
// The Account Health board — portfolio KPIs, a 12-month NRR trend rising from 98% to 112%, and the worst-first at-risk accounts table.
Figures from the engagement, shared under NDA.
We publish them unchanged and can’t break them down any further here. The reference build you can open runs entirely on sample data.
If you read one part of this page, read these 4 lines.
- Predicts at-risk B2B accounts weeks before they churn
- Turns raw risk signals into concrete, prioritized save-plays for CSMs
- One portfolio view of retention exposure and MRR at risk for CS leadership
- Every account carries an explainable health score, not a black-box number
What it does — and which part of it we built.
Churn Radar gives customer-success teams an early-warning system for revenue at risk.
It scores every account on a 0–100 health scale, attributes the risk to specific behavioural signals, and generates a prioritized, step-by-step save-play with a confidence estimate. BuildspaceLabs designed and built the MVP front end — an Account Health board for portfolio triage and a per-account detail view for the CSM running the save — turning a predictive model and a stream of product signals into a workflow a CSM can act on in minutes.
Every screen here is from the reference build, not the client’s system.
The captions say what you are looking at. Every name and record on them is sample data.
What the engagement left the client with.
- Delivered a production-quality MVP of the Account Health board and account detail view in an 8-week engagement
- Consolidated health scoring, risk drivers, and recommended plays into a single CSM workflow
- Gave CS leadership a real-time view of NRR and MRR exposure across 238 monitored accounts
- Established a reusable design system (health pills, risk bars, save-play cards) for the product's next surfaces
The stack was picked per constraint, not per house habit.
7 technologies across 3 layers — the shape of the stack follows the problem.
Every feature in the build (6)
- Account Health board with live net-revenue-retention, at-risk, and saves KPIs
- 0–100 predictive health score and churn-risk percentage per account
- AI-recommended save-plays with sequenced steps, owners, and a confidence score
- Risk-driver attribution across usage, support, renewal, and champion-departure signals
- 12-month net revenue retention trend chart and save-play coverage tracking
- Account detail with usage sparklines, why-at-risk driver weights, and an activity timeline
Don’t take our word for it — it is running in the frame below.
This is the same page the provenance block links to: our reference build for Churn Radar, with its own look, copy and motion. Scroll inside it, or open it full-screen.
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