Learn why subscribers cancel, and which saves last.

An honest read on why subscribers cancel, and tests that show which saves still leave a paying subscriber 90 days later.

Cancellation reasonsLast quarter
ReasonShareSave to test
Still have plenty41%Skip or delay
Away or moving18%Pause
Price15%An offer
Not using it14%Swap the product
Something else12%Ask

Why Care Kit subscribers cancel, grouped by reason, with the save worth testing for each.

Sound familiar?

  • The cancel survey says “too expensive” for most of them, and you don’t believe it.
  • A bigger discount gets accepted more often, and nobody checks who’s still paying.
  • The reasons sit in surveys, support tickets and reviews that never meet.

A save that’s accepted and canceled a month later cost you the discount and kept nothing.

What changes.

Show
Reasons
A dropdown, taken at its wordSurvey, tickets and orders read together
Offers
The biggest discount for everyoneTested, reason by reason
Judging a save
The offer was acceptedStill paying at 90 days
Survey changes
A new option quietly reshuffles the dataReason codes versioned, so results stay comparable

How it works. 6 steps, 4 stages.

  • AI2
  • Rules and automation2
  • Your team2
  • Approval
  1. 1Collect

    1. Rules and automation

      Capture the reason and the context

      The cancel survey, support contacts and recent orders, joined on one subscriber.

      • Recharge
      • Gorgias
  2. 2Group

    1. AI

      Group the reasons

      Free-text answers become reasons your team can name, with examples kept beside each.

    2. Your teamApproval

      Agree the reason codes

      Your team approves the categories, so the data stays comparable when the survey changes.

  3. 3Test

    1. Rules and automation

      Randomize the offer

      Each reason gets a randomly assigned save: a skip, a swap, a discount or nothing.

      • Recharge
      • Stay
  4. 4Decide

    1. AI

      Read what lasted

      Counts the subscribers still paying at 90 days, and what each save really cost.

    2. Your teamApproval

      Choose what stays in the flow

      Keep, change or drop each save, with a date to check again.

Each read sets the next test

What you get. Real work, every week.

Save tests · Care KitExtra payers per 100 offers
  • Offer a skipTo “still have plenty”+11Keep
  • 10% offTo price reasons+4Keep
  • 20% offTo price reasons+5Drop

Paying at 90 days, against a no-offer group

Judged at 90 days. A bigger discount earns its place only if more subscribers are still paying.

Test planCare Kit cancel flow

Which offer keeps a subscriber paying?

Groups
A skip, 10% off, 20% off, no offer
Measured
Still paying at 90 days, after discounts
Reasons
Coded the same way throughout
Decision
Keep an offer only if it pays for itself

Every save is a test with a no-offer group, agreed before the flow changes.

How you’ll know it’s working.

  1. Subscribers still paying at 90 days

    The number a save should be judged on, which acceptance alone can’t show.

  2. Cost per saved subscriber

    Discounts and gifts, divided by the subscribers still paying who wouldn’t otherwise have been.

  3. Cancels with a usable reason

    The reasons only help if most cancels leave one your team can act on.

Baselines agreed before we build.

Works with what you have.

Commerce

  • Recharge
  • Stay
  • Shopify

Email & SMS

  • Klaviyo

Support

  • Gorgias
We configure first
Recharge and Stay both have cancel flows with reasons and offers. We use them to ask the questions, then fix how the results are read.
We build when
Reasons sit in several systems, or you want randomized offers read at 90 days against a no-offer group.

What a first build includes.

Built in your accounts, around your team. Scope, fee and baseline agreed before we start.

  1. 1Design
  2. 2Build
  3. 3Run it, or hand it over

We build

  • One set of reason codes across survey, tickets and orders
  • A cancel flow with randomized offers
  • A no-offer group in every test
  • A 90-day readout of what each save kept

We start from

  • Cancellation and survey data
  • Support contacts from subscribers
  • Subscription and order history

From your team

Owner
Head of retention or lifecycle
Involves
  • Lifecycle
  • Customer service
  • Finance

Questions teams ask.

Isn’t this the same as subscriber control?

They’re neighbors. Subscriber control makes skipping, delaying and swapping easy. This job learns why people cancel anyway, and which saves keep them paying. We measure the two separately, because a skip that only delays a cancel isn’t a save.

Why not just offer a bigger discount?

ProsperStack, a cancel-flow vendor, reported randomized tests in 2026 where a 20% offer roughly doubled acceptance against a 10% one. It added only about one more paying subscriber per 100 offers by day 90. The vendor didn’t disclose sample sizes, so treat it as a signal. Acceptance is easy to count, and still paying at 90 days is what pays.

Can we trust the reasons people pick?

Treat them as a starting point. Wording changes what people choose, so we keep the raw answers, version the reason codes and check them against what the same subscribers did next.

Who owns it once it’s running?

You do. It’s built in your accounts, documented, with training for the people who run it. Ownership usually sits with your head of retention or lifecycle. We can keep running it with you, or step back.

How do we start?

Usually with a retention review: two to four weeks, a fixed fee credited to the build, and a plan that’s yours. If the job is already clear, we can scope the build directly.

Keep the subscribers worth keeping. Start with a retention review.

We reply within one business day.