shopify/churn risk

See who's about to leave while you can still act.

A daily at-risk list with the win-back offer matched to each cohort, so retention is a worklist, not a guess.

live template · free to try
churn_risk.dailyready
0%
of at-risk value saveable
ranked cohortsscore
01lapsed_vip (84)win-back 15%
021x_buyers (212)bundle
03slow_repeat (58)reminder
[✓] daily list · offer matched per cohort
Why a generic flow isn't enoughA / the problem >>>

By the time a customer has obviously churned, the win-back costs more and works less. Most stores have no early signal and no idea which offer to send to whom.

From store data to actionB / how it fits >>>
// you feed it

Your Shopify orders, customers, and the win-back levers you can pull.

// it decides

It scores churn risk and matches the highest-value offer to each at-risk cohort, explained.

// you get

A daily at-risk list with the right offer per cohort, ready to send.

How it worksC / the model >>>
01

score risk daily

Every active customer gets a churn probability with its drivers, refreshed each day.

02

match the offer

Each at-risk cohort is paired with the win-back lever most likely to bring it back.

03

send & track

Push to Shopify Flow or your ESP, and watch saved value accrue.

What it runs onD / inputs >>>
[✓]Shopify orders & frequency
[✓]Customer profiles
[✓]Your win-back offers
[✓]Engagement signals
What you walk away withE / outcomes >>>
71%of at-risk value is saveable
dailyrefreshed at-risk list
per-cohortthe right offer, matched
Common questionsF / faq >>>
Other modelsG / more >>>

Turn it on for your store in minutes.

engine: online