See churn signals 60–90 days before cancellations.
Usage decline, payment delays, engagement drops — each signals future churn. Fairview combines them into a churn-risk score and surfaces at-risk customers before they leave.
60–90d
typical early warning window
3
signal categories tracked
0
manual scorecards required
From stack to decision in minutes, not months.
Step 01
Connect billing + CRM
Stripe + HubSpot or Salesforce.
Step 02
Signal baseline learned
Usage, payment, and engagement ranges for each cohort.
Step 03
Risk scored weekly
Every customer gets a 0–100 risk score refreshed weekly.
Step 04
At-risk list surfaces
Customers crossing threshold appear in Weekly Operating Report with recommended action.
What this looks like in real operating life.
Example
TechCo (ARR $84K) — payment delay + 40% usage drop + no CSM touch in 45 days. Risk score: 82 (HIGH).
Outcome
Teams typically save 15–25% of at-risk ARR within 90 days of activating churn detection.
Early warning
Average flagging time: 72 days before cancellation request.
Native integrations for this use case.
Revenue
- Stripe
CRM
- HubSpot
- Salesforce
- Pipedrive
Accounting
- QuickBooks
- Xero
Fairview product pieces behind this use case.
FAQ
Specific to Churn Detection.
Does Fairview connect to product usage data?
Product-usage integrations are on the roadmap. Today, engagement signals come from CRM activity and billing patterns.
How is the risk score calculated?
Weighted combination of payment behaviour, engagement frequency, and pipeline signals. Adjustable on Scale plan.
Does this work for transactional (non-subscription) customers?
Yes — repeat purchase signals feed churn detection for e-com and wholesale.
Can I export the at-risk list?
Yes — CSV export, webhook push, or shareable dashboard.
What does it cost?
Starts at $149/mo. 14-day free trial, no credit card.
Stop reporting. Start deciding.
10 minutes to connect. Churn Detection live by the end of the meeting.