Churn-Reason Adjacency Test
Turn repeated cancellation reasons into adjacent offers
- Difficulty
- Moderate
- Time to result
- ~months to results
- Steps
- 6
- Confidence
- 98%
Collect cancellation reasons continuously, then distinguish fixable dissatisfaction from structural mismatch. When many customers leave because the offer is inherently too young, too old, too advanced, or too basic, treat that language as evidence for an adjacent product rather than merely a retention problem. Form one or more bounded offer hypotheses around the repeated reasons, launch them with controlled resources, and let demand decide where to concentrate. KiwiCo found that “too young” and “too old” were major churn reasons, so it launched three age- and interest-specific subscription lines with the same team. The plan was to double down on whichever line took off. All three sold out, while the broader portfolio also improved marketing relevance, multi-child purchasing, shipping economics, and ultimately profitability.
Origin
Extracted from The Foundr Podcast
Core principles
- 01Cancellation data can reveal unmet adjacent demand
- 02Structural churn may require a new offer rather than a better message
- 03Test multiple credible adjacencies before concentrating resources
- 04Validate expansion through real demand, not market-size theory alone
How to run it
- 1
Capture churn language
Ask departing customers why they are leaving and preserve their actual reasons from the beginning.
Pro tip Use a consistent reason taxonomy while retaining verbatim responses.
Watch out Do not wait until growth stalls to start collecting data.
- 2
Find structural clusters
Group recurring reasons and identify those caused by the boundaries of the current offer rather than execution failures.
Pro tip Look for paired boundaries such as too young and too old.
Watch out Do not use expansion to avoid repairing a weak core product.
- 3
Design adjacent hypotheses
Create focused offers that directly serve the unmet groups revealed by the churn clusters.
Pro tip Vary one meaningful dimension such as age or interest.
- 4
Run bounded launches
Launch the credible adjacencies with defined resources and a clear rule for what happens if only one succeeds.
Pro tip Choose a demand-rich period when appropriate to make the test informative.
Watch out Simultaneous tests can strain operations if the bounds are unclear.
- 5
Measure second-order economics
Assess not only line-level sales but also acquisition efficiency, cross-purchase behaviour, shipping leverage, and retention.
Pro tip Track portfolio effects that a single-line P&L can hide.
- 6
Concentrate on evidence
Double down on the offers that validate demand and improve the business equation; stop those that do not.
Watch out Do not keep every adjacency merely because it launched.
In the wild
KiwiCo's surveys repeatedly surfaced “too young” and “too old.” The company launched a preschool line and two older-child lines split by arts/design and STEM. It intended to concentrate on a winner, but all three sold out during the 2014 holiday launch.
→ The expanded portfolio improved market coverage and contributed to a profitable, cash-flow-positive business from 2016 onward.
Common mistakes
Treating all churn as dissatisfaction
Some customers leave because they no longer fit the offer, not because the product disappointed them. That distinction changes the response.
Ignoring portfolio effects
An adjacent line may improve ad relevance, multi-product orders, or shipping economics beyond its direct revenue.
Is it for you?
Best for
It is best for subscription businesses with recurring cancellation data and identifiable adjacent customer needs.
Not ideal for
It is not ideal when churn is mainly caused by poor core-product quality that should be fixed first.
From the transcript
“And one of the big churn reasons was too young and too old.”
“And the idea was if one of these takes off, we will double down on that subscription line.”
“We launched it at the tail end of 2014 during the holidays, all three of them basically sold out.”
From the episode
687: I Broke Every DTC Rule and Built a $1 Billion Brand From My Garage