Shopify RFM Segments: Which Customers Deserve a Campaign

The Quick Verdict

You have a customer list and one campaign to send, so two decisions sit in front of you: which of the eleven groups deserves the send, and where you build that audience. This table settles the second one — find your case in column one. The first has its own section further down, which group gets your next campaign.

Shopify Already Sorted Your Customers

The usual advice on RFM segmentation is to build it yourself: export orders, score three columns, average two of them, and end up with a spreadsheet that is stale the week after you make it. For a Shopify store that work is already done, and it has been done against your live order data rather than against a snapshot.

There are eleven predefined RFM groups in the segment reference guide, each with its own value you can filter on. They appear in two places, and the difference matters: the RFM customer analysis report tells you how your customers are spread across the groups, while the rfm_group attribute in the segment editor is what turns one of those groups into an audience you can actually send something to. The report is for deciding; the filter is for doing. If you want the wider picture of what else Shopify measures for you, that belongs to our guide to Shopify Analytics.

How a Customer Lands in a Group

You do not have to reproduce this arithmetic to use the groups, but knowing it explains why a customer you think of as excellent shows up somewhere you did not expect. Two of the three dimensions are collapsed into one before the group is chosen.

A 5 Means Your Store's Top 20%, Not the Industry's

This is the single most misread thing about the feature. The group names sound absolute — a Champion sounds like a big spender, Dormant sounds like a lost cause — but every score behind them is a ranking inside your own business. Shopify is explicit that a score of 5 puts a customer in the top 20% of that dimension for your store while a 1 puts them in the bottom 20%, and that the calculation uses no industry standards and no third-party data.

Can You Even See RFM Groups Yet?

If you have researched this topic before landing here, you have probably met a sentence saying RFM becomes available after a hundred sales. It is worth being precise about where that sentence comes from, because it governs whether you go looking for the feature at all.

Across the segment reference guide, the customer reports page, the segmentation overview, the create-customer-segments page and the predicted spend tier page — read on August 13, 2026 — no page we found states a sales or order minimum for the RFM group filter. The one sales-minimum sentence we did find sits under a different filter entirely, and reads in full:

Reading three neighbouring filters side by side is the fastest way to see the shape of this: where Shopify does state an eligibility condition — as it does for predicted spend tier and for Companies — it states it under that filter's own entry, which is what makes the wording under each one worth comparing rather than assuming.

Shopify Help Center: segments reference guide and the predicted spend tier page, read August 13, 2026.

The place to look in your own admin is Customers, then Segments, where the filter list is what you browse for rfm_group. That is where the question gets settled for your store, rather than from any sentence on a documentation page.

What to Work On While the History Is Thin

A ranking needs something to rank. With a handful of orders behind you, every group built out of your buyers describes a very small number of people, and a campaign built on that is really a campaign built on a hunch about four customers.

The honest use of the report at that stage is as a monthly reading rather than a trigger: watch whether anyone is moving out of New at all. That single observation tells you more about your repeat business than any segment you could build this week, and it costs nothing to check.

All 11 Groups, and What Each One Is Worth

Below is the whole set with Shopify's definitions beside them, and the move each one earns. The definitions are the platform's; the moves are ours, and they are what the rest of this page defends. If reading all eleven is more than you came for, the quiz further down names the one your next campaign should start with.

Definitions from Shopify's customer reports documentation, read August 13, 2026. The recommended moves are editorial.

Champions and Loyal: Use Them, Don't Discount Them

A discount here is the campaign most likely to produce orders and least likely to produce extra ones. It lands on people who were already buying, so the money comes off orders you had earned anyway — which is why the moves in the table above are all things other than price.

The cheapest of them is a referral, because it only pays out on a sale you would not have made. If a formal rewards programme is where you are heading, the arithmetic of what a point really costs you is a subject of its own, and we worked it through in our loyalty programme guide.

Where the Money Usually Is: At Risk and Previously Loyal

The distinction worth acting on is the one Shopify draws between the two: a strong history for At risk, a very strong one for Previously loyal. That is your cue for how personal the message gets, and how little discounting it needs to do the work.

One disambiguation before you write anything. A campaign to these groups is not abandoned-checkout recovery: that fires on a session that ended minutes ago and is a different mechanism with different tooling, which we cover in the abandoned cart recovery guide. Here the last signal is months old and the question is whether the relationship is still alive.

New, Promising, Active and Needs Attention: The Second-Order Push

This lane is where value is still ahead of you rather than behind you. New and Promising have bought recently and little; Active has moderate spend and some orders; Needs attention has recent purchases and moderate spend but is drifting. The campaign is not a discount — it is a reason and a moment.

Timing does most of the work here, and it is the part a segment alone cannot give you. What pairs with what they bought, how to reach a human if something is wrong, and what happens on a second order are all cheaper than a price cut, and they compound. Needs attention deserves its own send rather than being folded in with New: these are customers who already know you and are quietly losing the habit.

The Groups That Should Not Get Your Next Campaign

Deciding who not to send to is the least glamorous part of a campaign and the one that most often decides whether it pays. Shopify describes both as customers without recent purchases, so the useful question is not whether to write to them — it is what would have to change before they earn a send again, and writing that answer down turns a mood into a rule you can reuse.

Which Group Gets Your Next Campaign

Eleven groups is a good reference table and a bad to-do list. The verdict at the top of this page answers by tool — where the audience should be built. This answers by symptom: which of the eleven groups your next campaign should target, and what it should say when it gets there. Answer as your store is today, not as you would like it to be.

Building the Segment — and Narrowing It

Applying rfm_group as a filter is the easy half. The half that decides whether the campaign reads as personal is what you add on top of it, and Shopify documents the pattern itself rather than leaving you to invent one.

The example in the RFM customer list documentation works like this: read the average customer spend for the Champions group as a whole in the RFM customer analysis report, then filter your customer list to champions whose spend sits 50% above that average. The group answers who; the second filter answers which of them. The same move works on any group — At risk narrowed by spend, New narrowed by what they bought first.

The routine below is the whole job in order. Steps one and two come before any campaign decision, because reading the group sizes changes what is worth writing. Step five is the one most people skip and the one that does the most for the result, and step six — deciding the exclusions — is what keeps the send small enough to deserve the effort.

Where the Native Groups Stop

None of these is a flaw to work around so much as a boundary to plan inside. All four are stated by Shopify in its own documentation, which is the useful kind of limit: you can design a campaign around a limit you can read.

Read together, these limits explain why the native feature is a campaign targeting tool rather than a customer-relationship database. If what you actually wanted was a pipeline, a lead score and a log of every conversation, that is a different question, and we answered it separately in does Shopify have a CRM.

When Paying for Something Earns Its Fee

This is deliberately not a catalogue. Two App Store listings were read in full for this article on August 13, 2026, and they are here as examples of two different jobs — not as a ranking, and not as the complete set of what exists. The question to ask of any of them is narrow: what does it do that the native filter never claimed to do?

App Store listings for Loyal and Segments read August 13, 2026; vendor prices are the vendors' own and move. Klaviyo's report conditions come from its RFM Analysis help article, read the same day.

The Klaviyo row is the one most often misread, so it is worth stating plainly. Klaviyo documents its own RFM Analysis, and the 500-customer floor above counts people who have actually placed an order rather than total profiles. Its segment builder exposes its own Current RFM group and Previous RFM group dimensions. If your sends already live there, the practical question is what that segmentation engine can do — which is a subject our Klaviyo guide takes on directly.

The two App Store listings are worth judging the same way. Loyal's value proposition is movement — tagging customers and exporting lists for advertising platforms — while Segments sells a query interface over your own data. Both are the vendors' own descriptions of their products, and neither is an independent assessment of how well they work.

Pulling the Group Through the API

There is a third route between the admin and a monthly app fee, and it is the one that matters if your reporting lives somewhere else. Shopify announced the field with a single sentence of intent.

In practice the field lives on the CustomerStatistics object, described simply as the RFM group of the customer, and reading it requires the read_customers access scope. The same eleven values appear as an enum in the current API documentation, so the developer route and the admin route are naming the same thing.

Three cases where this is the right route rather than an app:

• Your reporting lives in a warehouse. Pulling the group alongside order data lets you segment in the same place you already analyse, instead of exporting a list every time.
• You sync audiences on a schedule. A nightly job that pushes group membership into an ad platform is a small piece of code and no monthly fee.
• You want the group visible in an internal tool. Support and sales screens that show the group next to a customer make it usable by people who never open the admin's reports.

The Bottom Line

Most of the effort spent on RFM by Shopify merchants goes into recreating something the platform already maintains. The work that actually changes revenue starts one step later: picking a group, narrowing it, writing for it, and deciding out loud who you are not sending to.

Frequently Asked Questions