Retention Playbook
Retention, in practice.
Field notes on predicting churn from data you already have, timing campaigns to each customer’s own rhythm, and proving what retention actually recovered.
Retention automation without the spam: caps, cooldowns and quiet hours
The hard part of retention automation is not deciding what to send. It is the send-safety layer that stops an automated system from burning your list, y...
The retention metrics that actually predict revenue
Repeat purchase rate is a vanity metric on its own. These are the retention metrics that move first, predict revenue, and tell you which lever to pull.
RFM is not enough: why rules-based segments miss churn
RFM is a good first model and a bad last one. It describes the past, treats every customer on the same clock, and cannot see the reason anyone is leaving.
Failed payments are silent churn: payment recovery for subscriptions
A meaningful share of subscription cancellations are not decisions — they are expired cards. Involuntary churn is the cheapest retention win available, ...
Replenishment timing: selling the refill before they run out
Consumable brands lose most repeat revenue to timing, not preference. Here is how to compute each customer's reorder window and send inside it, instead ...
Attribution is not impact: measuring retention with holdout groups
If you email 5,000 lapsed customers and 300 buy, you did not recover 300 customers. Holdout testing is the only way to separate revenue you caused from ...
Win-back campaigns that actually work: timing, offer and channel
Most win-back campaigns are a 20% off email sent to everyone who went quiet. Here is how to segment by reason, time the send to each customer's own rhyt...
Customer churn prediction for Shopify stores: a practical guide
Ecommerce churn is silent — nobody cancels, they just stop. Here is how to define it, how to predict it from Shopify order data, and how to avoid the tr...
AI autopilot for ecommerce retention: what it should and shouldn't do
AI autopilot should decide who to contact, when, on which channel, and with what offer — inside limits you set. It should not be a black box that mails ...
Retention AI: how predictive retention actually works
Retention AI is not a chatbot bolted onto your email tool. It is a model that reads the order history you already have, scores every customer for churn ...
See it on your own customers.
Telltale reads your Shopify order history and returns your first retention report in two to five minutes.