Automation
Cancellation Survey: Find Out Why Customers Leave Before It Is Too Late
Customers who cancel without being asked why are a permanent blind spot. Deploy this automation and a short survey fires the moment cancellation is initiated, capturing the reason while the customer is still in the product and before the relationship ends completely.
How it works
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Trigger: customer initiates cancellation
Fires the instant the customer initiates cancellation.
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Cancellation reason captured immediately
Delivered via In-App or Email at the moment cancellation is initiated.
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Routed by reason given
Pricing, product, and service complaints each route to the team that owns that reason.
✓ Reason logged to the cancellation trend record.
→ High-value account cancellations routed for a retention call.
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Cancellation reasons dashboard
Reasons ranked by frequency, updated as responses come in.
Sample survey questions
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What's the primary reason you're cancelling?
Multiple choice: price / missing feature / switching / no longer needed
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Did you consider any alternatives before deciding to leave?
Yes / No, open text if yes
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Is there anything that would change your mind?
Open text, triggers a save offer if answered
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How likely are you to return in the future?
Yes / Maybe / No
Most cancellation flows are designed to make cancellation easy. From a customer experience perspective, that makes sense. From a retention perspective, it is a missed opportunity to understand why the customer is leaving and whether a specific intervention might change their mind. Deploy FeedbackRobot's cancellation survey automation and the survey fires as soon as a customer initiates the cancellation flow. It asks about the primary reason for cancelling, whether they considered alternatives before deciding, and whether there is anything that would change their decision. The responses are classified on arrival. A cancellation driven by price routes to a team that can offer a discount or a downgrade option. A cancellation driven by a missing feature routes to product management as direct evidence of demand. A cancellation driven by switching to a competitor is logged separately for competitive intelligence. The customers who would have reconsidered are identified immediately. The ones who were going to leave regardless provide exit data that makes future cancellations less likely for the customers who remain.
Frequently asked questions
Does this delay the actual cancellation process?
No, the survey fires the moment cancellation is initiated but doesn't block or slow down the cancellation itself, customers can complete cancellation regardless of whether they answer the survey.
What happens if someone says a lower price would change their mind?
That response routes to the team that can actually offer a discount or downgrade option, so the save attempt happens in real time, not after the cancellation is already final.
Is this the same as the churn survey template?
Related but different: this one fires when a customer actively initiates cancellation, the churn survey template also covers passive churn signals like an account going inactive or a renewal simply being declined.
Do I need to build the save-offer logic myself?
The survey identifies the reason and routes it to the right team, but the actual save offer, whether that's a discount, a call, or a feature demo, is something your team executes, not something the automation generates automatically.
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