Almost every business has hundreds of people who bought once and never came back. Usually because nobody gave them a reason. Winning them back costs less than finding new customers, as long as you choose well who to write to and measure how many come back because of the message.
North team · Updated October 7, 2026 · 2 min read
How it is done
Who counts as inactive in your business
It depends on how often a typical customer comes back. We calculate the median interval between purchases and mark as inactive anyone who has gone twice that long without returning.
Two Casa Aurora audiencescalculation
Audience Median interval Inactive after
Diners 38 days 76 days
Returning guests 11 months 22 months
Recommendation. A fixed range ("3 to 12 months") confuses a dormant diner with a guest who was not due back yet.
A short sequence, with an exit
Three emails. The first one reminds, the second gives a reason with a date and the third asks whether the person wants to keep receiving messages.
Come-back sequencetext
Email 1 · day 0 "Three months ago you had dinner with us. The menu has changed."
Email 2 · day 4 Seasonal menu, Tuesdays and Wednesdays only, until the 30th
Email 3 · day 9 "Should we keep writing to you?"
No click or reply → removed from regular sends
Recommendation. Removing people who do not respond protects deliverability for the whole base. Rip Curl did it this way: if a lapsed customer did not react, they only received the important announcements.
How many came back because of the message
A random 10% of the segment is held out and receives nothing. The difference between the two groups is what the sequence generated.
"At risk" segment · 9,600 peoplecalculation
Got the sequence 8,640 came back in 30 days 268 3.1%
Control group 960 came back in 30 days 12 1.3%
Effect 1.8 pts × 8,640 ≈ 156 customers who came back because of the message
Recommendation. Without the control group, 268 would have been counted. The honest figure is 156, and that is what you use to decide whether the offer pays off.
What to offer by segment
Segment
What to offer
Why
At risk: used to spend a lot and are drifting away
An exclusive benefit, no discount
Protects margin with people who pay full price
Bought only once
A reason for a second visit: double stamp or a new dish
The second visit is what builds the habit
Dormant: twice their interval
An offer with a deadline
They need a concrete reason and a date
No clicks in six months
A stay-or-go question, then unsubscribe
Protects deliverability for everyone else
Case analysis
Brava Fabrics: letting people know when stock is back
Brava Fabrics · Barcelona
The fair-trade menswear brand used email to talk again to people who had already shown interest.
What they did, step by step
It created "back in stock" emails for people waiting on an item.
It sent them in small batches, so a size wouldn't sell out all at once.
It sent different follow-ups depending on the review each customer left.
To grow subscribers it tested two incentives: a contest with a 300-euro prize performed the same as a 10% discount for everyone.
+76%in email revenue in one year
60%of that revenue comes from automated emails
The mechanism
Interest recordedsold-out item
Back in stockevent
Sent in batches~10 people
Follow-up by reviewbased on their opinion
A/B testdiscount vs. contest
Sending in batches keeps the size from selling out in the first minute and spreads the opportunity.
Why it worked. It wrote to each person when it had something specific for them, and it tested before giving away margin.
Analysis of a public case. North Marketing did not take part in this work. The figures are the ones published by the vendor (Klaviyo).