Exit Intent & Churn Prevention
Nobody reads your exit survey. Static exit surveys collect “too expensive” and move on. Your evaluator digs deeper—are they consolidating tools? Switching to a competitor? Just need a pause? Now you can offer the right save at the right moment, and your CS team gets the full context to follow up.
What's inside this template
Start from this conversation and adapt it to your team — change any question, add your own logic, and connect the tools you already use.
Questions it always asks
The core fields every response captures.
Always ask what would need to change for them to stay
Ask what they liked most about using the product
How it adapts
Follow-ups that change based on what people say.
If they cite price, ask what budget would work for them
If they're switching to a competitor, ask what features they're looking for
Where it routes people
Different paths for different answers.
If they're open to a discount, offer 20% off for 3 months
If they need a pause, offer to freeze their account for up to 90 days
Automations it can trigger
Actions that fire the moment a response comes in.
Alert #churn-saves in Slack when someone indicates they might stay
Update the customer record in HubSpot with churn reason
Trigger a Stripe subscription pause if they accept the offer
How this AI template works
When a customer cancels or shows churn signals, your evaluator steps in with a real conversation. It learns they’re not actually unhappy with the product—they’re consolidating tools because of budget cuts. Now you can offer a pause instead of a cancellation, or a downgrade that keeps them in the ecosystem. CS gets alerted with the full context to follow up.
Getting started
- 1
Share your current exit flow and common churn reasons
- 2
Define your save offers: discounts, pauses, downgrades, feature unlocks
- 3
Connect to Stripe for billing context and Slack for CS alerts
- 4
Deploy in your exit flow and start recovering revenue
Template Details
- Agent Type
- Evaluator
- Industries
- SaaS / Tech
- Roles
- Customer SuccessProduct Manager
- Integrations
- Slack, Hubspot, Stripe
- Times Used
- 1,600+
Forms collect fields. Conversations capture context.
Static forms force complex situations into rigid dropdowns. Perspective captures structured data and the reasoning behind it — so your team makes better decisions, faster.
The static form
No context. No follow-up. No next step.
- Static exit forms offer checkboxes like 'too expensive' or 'missing features' but never reveal that the customer found a competitor with better onboarding or that a billing surprise triggered their cancellation decision
- Multiple-choice cancellation surveys miss live save opportunities — a customer who'd stay for a plan change or feature workaround churns because the form never explored alternatives
- Exit questionnaires treat a power user leaving after two years the same as a trial user who never activated — wasting their time with irrelevant questions and producing useless data
The AI conversation
"Tell me more about the timeline — when did this start, and is there a deadline your team is working against?"
Extracted & structured automatically
Category
High-priority
Urgency
Deadline: 2 weeks
Sentiment
Frustrated but hopeful
Next step
Route to senior team
Right team. Full context. Instant action.
- Adaptive exit conversations ask intelligent follow-ups based on the stated reason — if they mention price, explore whether usage dropped or competitors offered better value, giving you specific retention insights
- AI-powered exit interviews detect win-back signals in real time, probing whether a discount, plan adjustment, or feature demo could save the relationship before it's too late
- Dynamic questioning captures competitive details — which alternative they're considering, what specific features attracted them, and where your product fell short in their comparison process
What is an exit intent conversation?
An exit intent conversation replaces traditional cancellation forms with an adaptive AI discussion that uncovers the real reasons customers leave. Instead of forcing departing customers to pick from preset categories like 'too expensive' or 'missing features,' the conversation asks follow-up questions based on their responses. This approach reveals specific, actionable details about their decision — whether they found a cheaper competitor, hit a feature limitation, or experienced a support issue. The conversation adapts naturally to each customer's situation, typically completing in under three minutes while gathering insights that static forms miss entirely.
FAQ
Frequently Asked Questions
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