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Agent 08 OS · L04

Churn Saver Agent

Last-mile cancellation intervention

Intervenes within 90 seconds of cancel intent. No "are you sure?" friction. When a customer hits the cancellation page or sends a cancel request, the Churn Saver fires within 90 seconds with a personalized retention offer based on their history, churn pattern, and tier. Saves 25-35% of would-be cancellations.

Performance · across active deployments

25-35%
Save rate
< 90s
Time-to-intervention
+$60K/mo
Avg recovered revenue (mid-tier client)
Personalized
Per-reason save logic
How it works

The mechanism, in 4 layers.

Trigger conditions
Cancel button clicked, "cancel" keyword in support ticket, payment failure repeated, or Retention Agent flag.
Personalized save logic
Decision tree: tenure × tier × past expansion × churn pattern. Maps to specific save offers (pause, downgrade, discount, complimentary upgrade, personal check-in).
Conversation-first
Doesn't lead with a discount. Asks why first. NLU detects real reason (pricing, fit, lack of usage, competitor) and routes to appropriate response.
Human escalation
High-value customer (LTV ≥ $50K) or unresolved objection: pause + ping owner. Owner can intervene personally.
Wired into

Integration stack.

Stripe (cancellation event)GoHighLevel (conversation)OpenAI (NLU)Slack (owner escalation)Loom (personal video offers)
Knowledge base sources

What the agent reads.

Save script library (per reason)Offer matrix (tenure × tier × pattern)Personal save examplesWin-back vs save decision rules
Example in production

One real interaction.

Input
Customer ($4,200 deal, 14 months, recent health drop) clicks cancel.
Output
Within 90s: agent message "Quick question before you go — what changed?" Reply: "Pricing got too tight". Agent: pauses, routes to pricing-save tree. Offer: pause for 2 months free + reduced tier on return. Outcome: 73% of pricing-based saves accept this offer. Recovered revenue: $4,200 + LTV preservation.
Live in production at

3 case studies that feature this agent.

31% of would-be cancels saved
Learn Hungarian Fast
→ View case study
4× retention vs prior
Peach Care
→ View case study
Course platform retention
Chad Mureta
→ View case study

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Stop the cancellation page from being a one-way door.

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