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⚠️ Spot Customers About to Leave

Turn the app you built for yourself into something other people pay to use. These prompts add the parts that make a tool into a product: customer sign-in, plans and trials, limits that mean something, a billing lifecycle that handles the awkward cases, and an admin view so you can see who is actually using it. The unglamorous half nobody enjoys assembling.
  • Tested prompts
  • Edit for your use case
  • Works across models
  • Save in Taskade
Spot Customers About to Leave

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Customers cancel and I never saw it coming. Build me a churn risk app. Define the signals that matter for my product as editable records with a weight on each, such as sign-ins falling compared with an account own history, usage dropping, key features no longer being used, a support ticket that went badly, a failed payment, or the main user leaving the company. Score each account and weight the result by what that account is worth, so a small risk on a large account outranks a large risk on a tiny one. Produce a short prioritised list rather than a ranked list of everything. Record what action was taken and the outcome, so the model can be judged. Add an AI agent that explains for each at-risk account which specific signals fired and what it would suggest doing, and drafts a personal message rather than a template. Automate a scheduled weekly at-risk list and an immediate alert on a high-value account showing several signals at once. Two logins: an owner who sees revenue, and a customer success user who works the list.

STATUS · LIVE
v1

01 / Spark - intelligence awakens

Spot Customers About to Leave

Score accounts on leading churn signals weighted by value, produce a short workable list, and draft the right approach.

// the spark catches · intelligence awakens · the answer unfolds

Cancellation is the last step of something that started weeks earlier. This watches the leading signals and gives you a list short enough to actually work.

What's Included

  • Leading signals, not lagging ones such as falling usage and silence.
  • A risk score per account weighted by what they are worth.
  • A short list you can actually work rather than a ranked database.
  • An assistant that drafts the right approach per account.

How To Use

  1. Use leading signals. By the time they cancel it is a different conversation.
  2. Weight by account value so effort goes where it matters.
  3. Keep the list short. A list of eighty gets worked by nobody.
  4. Reach out as a human. An automated save email rarely saves anything.

Feed it from usage metering, and follow up through CRM prompts.