AGENT 40 / 11 · RETAIL & E-COMMERCE · CUSTOMER RETENTION & EXPANSION

Churn Early Warning System

Tracks login frequency, API usage and support ticket sentiment for every account, and flags churn risk with enough lead time for customer success to actually intervene.

READS FROMLogin telemetry, API usage, support ticket data

MCP SERVERProduct Data Server

MODELRouted to lightweight monitoring model

HANDS OFF TORenewal & Expansion Planner

RUN THE AGENT

Set your churn baseline, model the save rate

Adjust churn rate, catch rate and intervention success and the agent recalculates accounts and revenue saved instantly.

ASSUMPTIONS

Active accounts 3000

Baseline annual churn rate 22%

Churning accounts flagged with lead time 60%

Flagged accounts saved by intervention 35%

Average annual account value (£) 450

Cost per intervention (£) 120

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Accounts flagged early

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Accounts saved

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Revenue saved / yr

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Net value after intervention cost

Metric	Value

HOW IT WORKS

What the agent actually does

1. Monitor the signals	Tracks login frequency, API call volume, and support ticket sentiment/escalation for every account.
2. Detect the drift	Flags accounts whose usage pattern is diverging from healthy accounts, before a cancellation request arrives.
3. Trigger intervention	Alerts the customer success team with the specific signal that tripped, so outreach is targeted rather than generic.
4. Hand off	Reports save-rate outcomes back to refine the warning thresholds, and healthy accounts to the Renewal & Expansion Planner.