Concept demo made by Nexibeo. This product does not exist yet. Co-create it with us
Subscription cancellation insightsGet a free sample

For Retention leads at membership businesses

Explains why customers leave without equating correlation with causation.

For retention leads at membership businesses, turn cancellation forms, exit interviews and account history into cancellation analysis and experiment backlog.

Start a pilotHow it works

The problem

Cancellation reasons are inconsistent and hard to act on.

What you get

Cancellation analysis and experiment backlog.

Cancellation forms, exit interviews and account history in, reviewed results out. People check what the AI drafts before anything reaches you.

Features

Everything the job needs, nothing it doesn't.

01Normalize stated reasons
02Separate billing from product issues
03Retain customer wording
04Compare cohorts
05Suggest testable changes
06Monitor subsequent trends

How it works

From your files to approved results.

Evidence-backed analysis and reporting workspace.

  1. Agree definitions
  2. Import authorized data
  3. Validate coverage and identifiers
  4. Compute transparent measures
  5. Group relevant evidence
  6. Review findings

Free sample

An anonymized cancellation reason taxonomy.

Test USD 500-2,000 for an initial analysis of one bounded dataset. Offer USD 250-1,000 monthly for repeat reporting at agreed volume. Data cleanup and specialist analysis are separately priced. These are test ranges.

Start a pilot

This is a concept demo. The button goes to Nexibeo, where you can co-create this product.