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Every lost customer started with a signal your team missed. Churn Prediction Playbooks surface the warning signs across usage, support, and engagement data, then recommend exactly what to do before the account goes dark.
14 accounts flagged with elevated churn risk representing $2.8M ARR. NPS dropped 12 points in the at-risk cohort over 90 days. 3 accounts have open escalations older than 30 days. Immediate intervention recommended for 5 accounts entering renewal window within 45 days.
The Challenge
Usage trends live in your product analytics. Support tickets sit in Zendesk. NPS scores are in a spreadsheet. Nobody connects them until the customer cancels.
Most CS teams discover churn after it happens. Dashboards show declining metrics, but they do not trigger action or explain the root cause.
Acquiring a new customer costs 5-7x more than retaining one. Every account that churns silently drains your growth rate and inflates your acquisition budget.
How eyko Solves It
A Churn Prediction Playbook connects to your CRM, product analytics, and support systems. It identifies which accounts are at risk, traces the contributing factors, and recommends specific retention actions.
The Playbook identifies 14 accounts with elevated churn risk, representing $2.8M in annual recurring revenue. Risk scores are calculated from login frequency, support ticket volume, NPS trajectory, and contract renewal proximity.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
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FAQ
Everything you need to know about Churn Risk Assessment.
Churn Prediction is an AI-powered analysis that identifies which customers are at elevated risk of disengaging or canceling. It scores accounts based on behavioral signals including product usage trends, support interaction patterns, NPS trajectory, and contract proximity. The output is a ranked list of at-risk accounts with specific contributing factors and recommended retention actions.
The Churn Prediction Playbook connects to your CRM (Salesforce, HubSpot), product analytics platform, support system (Zendesk, Intercom), and any NPS or survey tools. It combines usage frequency, feature adoption depth, support ticket volume and resolution time, NPS scores, and contract renewal dates to calculate composite risk scores.
eyko typically surfaces churn signals 60-90 days before disengagement becomes visible in traditional metrics. The model detects subtle pattern shifts, such as declining login frequency, reduced feature breadth, or increasing support contact rate, that precede the obvious signs like missed renewals or explicit cancellation requests.
Yes. eyko connects to over 100 data sources including Salesforce, HubSpot, Gainsight, Zendesk, Intercom, Mixpanel, Amplitude, and custom databases. The Playbook reads from these systems to build the risk model. Recommended actions can be exported or used to trigger workflows in your CS platform.
Join the enterprises replacing weeks of manual analysis with a single prompt. See what eyko Playbooks can do with your data.
