North Marketing
ESEN
Book your diagnosis

Topic

Win back inactive customers

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

SegmentWhat to offerWhy
At risk: used to spend a lot and are drifting awayAn exclusive benefit, no discountProtects margin with people who pay full price
Bought only onceA reason for a second visit: double stamp or a new dishThe second visit is what builds the habit
Dormant: twice their intervalAn offer with a deadlineThey need a concrete reason and a date
No clicks in six monthsA stay-or-go question, then unsubscribeProtects 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

  1. It created "back in stock" emails for people waiting on an item.
  2. It sent them in small batches, so a size wouldn't sell out all at once.
  3. It sent different follow-ups depending on the review each customer left.
  4. 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

  1. Interest recordedsold-out item
  2. Back in stockevent
  3. Sent in batches~10 people
  4. Follow-up by reviewbased on their opinion
  5. A/B testdiscount vs. contest

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).

Sources: Klaviyo

Let’s start with a free diagnosis

30 minutes to see where your business is losing customers and what to do first. If you don’t see results in 30 days, we give your money back.

Book your diagnosis

We’ll message you on Instagram with times.