Free tool

What is keeping more customers worth to you?

See how much revenue a small drop in cancellations or lapsed customers adds over a year. Enter your own numbers; nothing is saved or sent.

Customers lost per year now-
Customers kept per year-
Extra revenue in year one-
New monthly loss rate-

Our AI fleet flags customers who are slipping, checks in before they cancel and wins back the ones who drifted. AI fleet

How to use it

Four numbers, one answer.

  1. Enter how many active customers or members you have.
  2. Enter the average they pay you each month.
  3. Enter what share of customers you lose each month.
  4. Enter how much you think better retention could improve that.
The math

New monthly loss rate = current rate × (1 − improvement)

Each month, customers = previous customers × (1 − loss rate)

Extra revenue = revenue kept at the new rate − revenue at the current rate, over 12 months

Worked example

With 300 members paying $120 a month and 6% leaving each month, cutting losses by a quarter keeps dozens more members over a year and adds thousands in revenue, without spending more on ads.

What to do with the result.

Read the full guideCustomer retention for service businesses: keep the customers you already wonCustomer retention for gyms, barbershops, salons, spas and clinics: how to measure churn and lifetime value, spot slipping customers and run win-back campaigns.
FAQ

Straight answers.

Why does customer retention matter so much?

Keeping a customer usually costs far less than finding a new one, and every month they stay adds to what they're worth.

How do I reduce member cancellations?

Spot the warning signs early, like members who stop showing up, and check in before they cancel. Then win back the ones who left with a relevant offer.

Can AI help with retention?

Yes. AI agents can flag at-risk customers, draft check-ins and win-back messages for your team, and remind customers when they're due.

Want the real numbers? Let's talk.

Book a free 45-minute strategy call and we'll run these with your actual data.

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