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Agent 07 OS · L04

Retention Agent

Behavioral nurture for active customers

Detects decreased engagement, flags expansion, scores customer health. Watches the post-sale signals most agencies ignore. Picks up subscription pauses, decreased usage, support-ticket sentiment, late payments. Flags expansion opportunities. Maintains a real-time health score on every customer.

Performance · across active deployments

-43%
Avg churn rate reduction
Hourly
Health score updates
+18%
Expansion revenue identified
14-21d
Avg early-warning lead time
How it works

The mechanism, in 4 layers.

Signal ingestion
Reads from Stripe (payment cadence), GHL (engagement metrics), support tickets (sentiment), product analytics (usage). Updates customer health score hourly.
Pattern matching
Trained on historical churn signals — the patterns that preceded past cancellations. Surfaces customers tracking those patterns before they actually cancel.
Expansion detection
Identifies customers using the product more than their tier supports, asking advanced questions, or signaling expansion intent in conversations. Routes to expansion team.
Intervention triggers
On health score drop ≥ 20 points in 7 days: route to Churn Saver Agent or human CSM with full context.
Wired into

Integration stack.

Stripe (billing)GoHighLevel (engagement)Support platform (Intercom/Help Scout)Product analytics (Mixpanel/PostHog)Make.com
Knowledge base sources

What the agent reads.

Churn pattern library (per industry)Expansion signal mapHistorical save sequencesCustomer health scoring rubric
Example in production

One real interaction.

Input
Customer (12 months active, $4,200 deal) — opens rate dropped from 78% to 31% in 14 days, support ticket sentiment trending negative, payment 4 days late.
Output
Health score: 92 → 64 (drop of 28 in 14 days). Pattern match: 73% similarity to historical churn cohort. Flag raised. Routed to Churn Saver with context: "Likely 14-21 days from cancel. Recent ticket: pricing complaint. Recommend personalized save offer + check-in call from owner."
Live in production at

3 case studies that feature this agent.

31% churn save rate
Learn Hungarian Fast
→ View case study
DTC retention
Peach Care
→ View case study
Authority audience retention
Tom Hegna
→ View case study

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Catch churn before the cancellation page.

Every Growth and Scale engagement ships with the full 8-agent fleet — including this one. Adam personally tunes each agent to your brand voice and ICP.

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