CANCELLATION ROOT-CAUSE DIAGNOSIS

Cancel Lens

Enter the survey answer, support history, and usage pattern behind a cancellation to get a calculated root-cause diagnosis and a matched retention action.

  • Uses your inputs in a transparent calculation
  • Instant result with practical next steps
  • No signup required

Planning guidance only. Validate important decisions with customer evidence and your delivery team.

How it works

1

Enter cancellation signals

Provide the stated survey reason plus support ticket history, usage trend, and any pricing friction noted.

2

We calculate a root-cause confidence score

Each root-cause category (price, feature gap, support, competitor, low engagement) is weighted using the stated reason plus corroborating signals.

3

Get a matched retention action

The result names the dominant root cause and recommends a retention action specific to that cause.

Frequently asked questions

How is Cancel Lens different from a cancellation flow designer?

A flow designer builds the cancellation UX itself (reason survey, offer step, confirmation). Cancel Lens instead diagnoses the underlying root-cause category from the data you already have, after the fact.

What if the survey reason and the corroborating signals disagree?

The weighted score will reflect whichever cause has stronger combined evidence, and a low confidence score signals you should verify with a direct follow-up before acting.

Can this predict future cancellations?

No — it diagnoses the cause behind a cancellation that has already been signaled or has happened, using the specific record you enter.

How We Compare

Feature MVPHub ChurnZeroVitally
Quick single-cancellation root-cause check Included Limited Limited
Automated churn scoring across full customer base Not included Included Included
Support/CRM data integration Not included Included Included
No signup required Included Not included Not included

ChurnZero and Vitally integrate with your systems to automatically score churn risk across every account. MVPHub gives a fast, transparent root-cause diagnosis for one cancellation using signals you already know.

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