Risk segments, not a single score
Understand which accounts need attention and why, rather than watching one aggregate churn percentage.
Upload a small, anonymous CSV and inspect risk profiles, segments and prioritised recommendations. A free synthetic demo shows the analysis first.
Understand which accounts need attention and why, rather than watching one aggregate churn percentage.
The published input is based on anonymous customer_id, mrr and joined_at columns — not names or card data.
A PDF report summarises risk groups, segments and prioritised recommendations so the next action is clear.
| ID | MRR | Risk | Segment |
|---|---|---|---|
| demo-001 | $650 | 0.91 | high |
| demo-002 | $410 | 0.74 | high |
| demo-003 | $229 | 0.55 | medium |
| demo-004 | $150 | 0.32 | low |
Illustrative example — not a customer result or live account data.
Use the product’s documented starting point rather than creating a new process.
Review the example or draft, including its assumptions and limitations.
Publish, share or upgrade only when the verified product path supports it.
No. The example uses 60 synthetic customers and explicitly illustrative values. It shows the report format, not a promised saving.
No. The public pricing page currently marks Monitor ($750/mo) and Advanced ($3,000/mo) as rolling out / waitlist. Only Audit is presented as purchasable.
The public data contract describes customer_id, mrr and joined_at. Review the live upload documentation before using real business data.