Business OntologyBusiness Ontology

Workflow · v1.0.0

How to Review Customer Cancellations and Reduce Churn

Find out why customers cancel and which fix would keep the most revenue.

What you need

  • • Cancellation export (CSV) or survey answers
  • • Plan prices
  • • Cancellation dates

Connections

  • • None — upload a CSV

Steps

  1. 1. Collect reasons

    Combine survey answers, support tickets and cancellation notes in one file.

  2. 2. Group them

    Sort every reason into a small set of causes: price, missing feature, onboarding, outcome not reached, switching to a competitor, no longer needed.

  3. 3. Size each cause

    Add up lost monthly revenue per cause, not just count.

  4. 4. Separate fixable from not

    "Closed my business" is not fixable; "couldn't get it set up" is.

  5. 5. Choose and test

    Pick the biggest fixable cause and define one change and the retention figure that shows it worked.

Illustrative example — 40 cancellations from a subscription service

Illustrative example, not a customer result.

  • Onboarding / never set up: 14 cancellations, $1,960/month lost
  • Price: 10 cancellations, $1,200/month lost
  • No longer needed: 9 cancellations (not fixable)
  • Missing feature: 7 cancellations, $840/month lost
  • Test: guided setup call in week one; success = first-month cancellations down from 12% to 8%

What you get

  • • Grouped cancellation causes with lost revenue
  • • Ranked list of fixable causes
  • • One retention test with a success figure

Known limits

  • • Analysis is only as complete as the reasons customers gave.
  • • Small samples can mislead; the result says how many records it used.