The Friday Deploy

The plain English newsletter for people who run the business, not the tech stack. No jargon. Every Friday.

How to Target Your Monthly Newsletter by Segment and Interest

September 18, 2026

The last two posts in this series covered what your sales data can tell you about your customers and how to turn those segments into offers. This post is about the simplest way to put that to work, without touching your send schedule at all.

If you’re sending the same email to your list every month and just starting to target by segment, don’t change when you email people yet, just change what you send. Then once you get the hang of that, look into varying your send timing based on customer behaviour.

The problem isn’t your cadence, it’s your content

If you’re already sending a regular monthly newsletter, that’s not the thing to fix. A predictable, familiar cadence is worth keeping, people get used to it, and changing send frequency introduces its own risk of feeling erratic or spammy.

The problem with a single monthly send is that everyone gets the same email regardless of who they are. A customer who buys art history books and a customer who buys true crime get identical content, and neither gets what they’re interested in. Fixing this requires delivering a different version of that email to people, based on their interests.

What decides which version someone gets

Two things, layered together:

  1. RFM (Recency, Frequency, Monetary)
  2. Purchase history

RFM segment decides tone and offer. A Champion doesn’t need a discount to keep buying, early access or recognition of their support is what motivates them. Someone in At Risk or Can’t Lose Them needs a stronger incentive and more direct language, because the cost of losing them is real. The segment decides how the email talks to someone.

Purchase history decides content. Within whatever tone and offer the segment calls for, the content featured should come from what that customer has bought before, weighted toward what they buy most, adjusted for recency so a single old interest doesn’t outrank something they’ve bought into consistently.

Put together: a Champion who’s built a habit of buying art history titles gets not a discount, but early access, or first look at the newest release in that field before it’s announced to anyone else. An At Risk customer with the same interest gets the same kind of list, new art history titles, but framed as a reason to come back rather than an exclusive first look, with a real incentive attached.

Same template, different inputs. Here’s what changes across two entirely different customers, one at each end of the segment spectrum:

Field Champion, art history At Risk, true crime
Subject line (segment) “First look: new in art history, just for you” “New true crime, and an offer just for you”
Featured titles (purchase history) Pulls the newest art history releases Pulls the newest true crime releases
Offer / CTA (segment) Links to early access Includes a discount code
Secondary block (purchase history) Surfaces another title by an author they’ve bought Pairs with an earlier book in a series they started

Two customers, two interests, two very different messages, built from the same four fields every time.

Where interest data is thin, and what to do about it

A small group of customers will have no interest signal at all, no purchases, or metadata too broad to mean anything.

The fallback for this group is a mixed version of the send, built from your most well liked or top selling titles. If you have your analytics set up right you’ll be able to tell what content they engage with and get a better idea of what they’re interested in for the next email.

Proving it’s worth doing

Before going into fully segmented sends every month, check whether targeted content moves the needle over your existing campaign method.

The customers without enough data for an interest profile give you a way to check this; they keep getting the mixed version every cycle, while everyone else gets content matched to their segment and interest. Watch both groups’ performance over several sends, because a single good result could be from a strong subject line rather than proof the approach works. If the segmented group’s open, click, and conversion numbers pull ahead of the mixed group’s over a few cycles, and the mixed group holds steady, that’s a solid signal the targeting is working.

This isn’t a scientifically perfect comparison, the two groups aren’t identical and people with enough purchase history to profile are probably a bit different to those without. But when the goal is deciding whether to keep investing in the process, not publishing a research paper, that level of evidence is enough to make the call.

What to do with this

You don’t have to build every segment and interest combination on day one. Start with your highest value segments, Champions and At Risk are the ones where getting the tone and offer right matters most, and the two most straightforward interest categories in your catalogue. Get that combination working properly before expanding to the rest.

Same send date, same frequency your list is used to. Just a different version of the email landing in different inboxes, built from what you already know about who’s reading it.

Read more Decision Guides

Customer Segmentation, RFM Segmentation, Email Marketing, Purchase History, Ecommerce Automation

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The Friday Deploy

The plain English newsletter for people who run the business, not the tech stack. No jargon. Every Friday.