Free synthetic SaaS demo

Free AI churn action plan generator

Turn fictional churn themes into MRR-weighted priorities, bounded product fixes, and a privacy-safe agent prompt. See the loop before connecting Stripe or creating Agent Access.

Generate a synthetic plan Review churn warning signs

No signup required. No real feedback, customer records, Stripe data, model calls, or production writes.

What makes the plan useful

Evidence counts and represented MRR stay visibly synthetic.

Every recommendation has an owner, time window, and metric.

Agent prompts require redaction, read-only access, and human review.

No generic promise that an AI-generated idea will reduce churn.

From churn feedback to one next step

Choose synthetic evidence

Select a bundled fictional onboarding, billing, or feature-fit scenario. No paste box means real customer data cannot accidentally enter the public demo.

Rank themes with revenue context

See evidence counts and represented synthetic MRR side by side without pretending correlation proves causation.

Hand off one bounded experiment

Get concrete owners, review windows, metrics, and a redaction-first agent prompt instead of a generic AI checklist.

Interactive demo

Bundled fictional data only

Choose a synthetic churn scenario

Pick one fictional SaaS dataset. ChurnWin will rank its aggregate themes by represented MRR, propose bounded actions, and prepare a privacy-safe agent prompt. Nothing is uploaded and no model or Stripe account is called.

Onboarding stalls

A fictional B2B reporting SaaS reviews 18 synthetic cancellations after activation and week-one return rates weakened.

Sample: 18 synthetic cancellation records across a fictional 28-day window.

Use the real read-only agent path

A connected account can give a scoped agent access to aggregate churn metrics, reasons, recent churn, and a stored action plan. Agent keys do not authorize payments, refunds, billing changes, or customer contact.

MCP quickstart REST API reference Copy-paste agent examples

Understand the feedback loop first

Learn how to move from cancellation evidence to a testable product hypothesis without leaking raw feedback or letting an agent turn an unverified theme into an automatic customer or billing action.

Read the AI feedback-loop guide

Frequently asked questions

Does this AI churn action-plan generator use real customer data?

No. The public demo uses only three bundled fictional SaaS scenarios. It does not accept, upload, or store customer feedback, Stripe records, names, emails, or identifiers.

Does the public generator call an AI model?

No. Its outputs are deterministic examples that show the structure of an evidence-backed action plan. Connected ChurnWin accounts can expose their own aggregate themes and stored action plan through scoped read-only API and MCP access.

What should a churn action plan include?

A useful plan ties aggregate churn reasons to represented MRR, ranks a small number of hypotheses, assigns an owner and review window, and names the metric that would support or reject each action.