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E-commerce & DTC Brands

Higher LTV and lower churn without manual retention outreach

We predict churn from skip and pause signals. The right save offer shows before the subscriber hits cancel.

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Sound familiar?

Cancellations arrive with no warning
A subscriber clicks cancel. That is your first signal. Too late.
Your cancel flow is one static discount
The same 10% off for everyone, whatever their tenure or reason. That is a margin leak, not retention.
Skips and pauses are ignored as pre-churn signals
Two skipped deliveries in a row means 4 times the cancel risk within 60 days.
No visibility into which cohort has the worst retention
Without cohort data, you cannot tell if the problem is the channel, product, or cadence.

What we actually do

A churn model built from your Recharge or Skio skip and pause signals. Save offers show before the cancel page, when they still work.

What's included

Recharge or Skio pipeline for skip, pause, cancel signals
Churn prediction model updated daily per subscriber
Pre-cancel save offer triggered at churn-risk threshold
Cancel page with dynamic offer matched to cancel reason
Cohort retention dashboard by channel and product
A/B framework for save offers: delay, discount, swap, gift

How it works

Audit

We baseline churn, skips, and cancel reasons.

Model

We build a churn model from your Recharge or Skio data.

Intervene

We launch pre-cancel offers and a dynamic cancel flow.

Report

We track churn, save rate, and LTV monthly.

The Meatery
AI Voice CRM, Shopify multi-tenant
Read the case study

Requires Recharge or Skio. Model build included in month one.

Frequently asked

Ready to get started?

Let's build your subscription optimization system

Hire Us on Upwork