Klaviyo Segmentation Strategy for D2C Brands: Beyond the Basics
Most Klaviyo accounts we audit have fewer than five active segments. The brands getting 30–40% of their revenue from email? They usually have ten or more. That gap isn't a coincidence.
Segmentation is the difference between emailing your list and actually talking to your customers. When it's working, the right message reaches the right person at the right time. When it's not, you're sending the same email to someone who just bought yesterday and someone who hasn't opened anything in eight months.
Segmented campaigns drive up to 760% more revenue than non-segmented sends. That number sounds dramatic, but once you see what segmentation actually changes, it makes sense.
This article covers what segmentation actually is, which segments are worth building first, and how to use tools like RFM and Klaviyo's predictive features to get more out of your list — without needing a data team or a technical background.
What email segmentation actually means (and why "send to everyone" is costing you)
Segmentation just means splitting your email list into smaller groups based on what you know about people — then sending each group something relevant to them, rather than blasting everyone with the same thing.
In Klaviyo, there are two ways to organise your contacts: lists and segments. Lists are static — someone gets added and stays there until they're removed. Segments are dynamic. Klaviyo automatically updates them based on rules you set, so a segment of "customers who bought in the last 30 days" always reflects who actually bought in the last 30 days.
That distinction matters more than it sounds. Most brands rely too heavily on static lists and never build the dynamic segments that make email genuinely useful.
Here's what not segmenting is actually costing you:
Emails going to people who haven't opened anything in six months — which quietly damages your sender reputation and makes it harder to reach the people who do want to hear from you.
Discount offers landing in the inbox of customers who were about to pay full price.
Win-back messages going to people who only bought last week.
None of this is intentional. It's just what happens when you treat your list as one big group instead of many smaller ones.
The segments every D2C brand should have before anything else
You don't need twenty segments on day one. You need the right five. These are the ones we build first when we take on a new account — because they have the highest impact and they make everything else work better.
Engaged vs. unengaged subscribers
This is the first thing to separate out, and the most important for your long-term deliverability. Engaged contacts are people who've opened or clicked something in the last 30, 60, or 90 days. Unengaged contacts are everyone else.
Why does it matter? Email providers like Gmail pay close attention to how your subscribers respond. If a significant portion of your list is ignoring you, that starts to affect whether your emails reach the engaged people too. Keeping these groups separate means you can be more active with people who are paying attention, and much more cautious with those who aren't.
First-time buyers
Someone who just made their first purchase is at a critical point. They've taken a chance on your brand — now the question is whether they'll come back. The window to influence that decision is short.
Klaviyo's retention data consistently shows that the post-purchase window is where repeat purchase behaviour is won or lost — and that the brands following up within 48 hours of a first order see meaningfully better second-purchase rates.
Repeat buyers
These are your most valuable customers. They've bought more than once, which means they like what you're doing — and they're worth treating differently. Repeat buyers shouldn't receive the same messaging as someone on their first order. They already know your brand. They don't need a welcome offer or a "here's what we're about" email. They need content that rewards their loyalty and keeps them coming back.
Lapsed customers
These are people who used to buy from you but haven't in a while — typically 90 days or more, depending on your product's natural repurchase cycle. They knew you, tried you, and went quiet. That's actually a better starting point than a cold subscriber, because there's already a relationship to lean on. A lapsed segment lets you run a targeted win-back sequence without bothering customers who are still actively buying.
Understanding RFM: the simplest way to see who your best customers actually are
RFM is one of those terms that sounds more complicated than it is. It stands for Recency, Frequency, and Monetary value — three questions about every customer on your list:
Recency: When did they last buy?
Frequency: How often do they buy?
Monetary: How much do they spend?
Put those three together and you get a clear picture of who your best customers are — and who's about to leave.
A simple example: Customer A bought three times in the last 60 days and spends $150 per order. Customer B bought once, eight months ago, and spent $30. They're both on your list. But they are not the same customer, and they shouldn't be getting the same email.
Why RFM matters for retention
The most useful thing about RFM isn't identifying your best customers — it's spotting the ones who are about to stop. A customer who used to buy every month and hasn't bought in 75 days is showing you something. Without RFM logic in your segmentation, that signal gets lost. With it, you can act before they're gone. That's what retention marketing is really about — not just keeping customers on your list, but catching the ones who are quietly slipping away before it's too late. Think of RFM less as a data model and more as the engine that makes retention marketing actually work.
The five customer types RFM reveals
Once you look at your list through an RFM lens, five groups tend to emerge:
Champions: Bought recently, buy often, spend well. Your best customers — treat them like it.
Loyal customers: Buy regularly but maybe not at the highest value. Worth nurturing.
At-risk customers: Used to be engaged but haven't bought recently. The most urgent group to act on.
Lapsed customers: Have been gone a while. Harder to win back, but not impossible.
One-and-done buyers: Bought once, haven't returned. A big opportunity most brands under-invest in.
How Klaviyo makes RFM doable
You don't need a data analyst or a spreadsheet to do this. Klaviyo tracks purchase date, order count, and total spend natively — meaning that data is already sitting in your account, attached to every customer profile.
Building RFM-based segments means setting conditions based on those properties: "placed order in the last 60 days AND has placed more than 3 orders AND total spend is over $200." That's it. Klaviyo does the rest.
One real example: we took on a client whose list was roughly 40% at-risk customers — people who'd bought before but hadn't heard from the brand in months. Zero targeted communication. Once we built that segment and ran a proper re-engagement sequence, they won these folks back.
The research backs this up: a 5% increase in customer retention can increase profits by 25–95%. RFM-targeted emails generate up to 3x more revenue than standard sends. The segment is the work — the payoff follows.
Going further: using Klaviyo's predictive tools to get ahead of churn
Once your foundational segments are in place, Klaviyo offers something most brands never use: the ability to predict what a customer is likely to do next.
These are called predictive analytics, and they're built directly into Klaviyo using your store's purchase history. No extra integrations, no additional tools — it's already there if you know where to look.
Predicted lifetime value
Klaviyo calculates a predicted lifetime value (CLV) for each customer — essentially an estimate of how much they'll spend with your brand over time, based on their behaviour so far. The practical application is straightforward: treat high-CLV customers differently. Different email cadence. Different offers. A more considered experience. You don't need to spend more to serve them better, you just need to know who they are.
Predicted churn risk
This is the one that catches most brands off guard. Klaviyo can flag customers who are showing signs of disengagement — before they actually lapse. That means you have a window to act.
The mistake we see most often: brands wait until someone has been gone for 120 days before trying to win them back. But the win-back window closes quickly. Acting at 45 days — when the churn risk signal is fresh, is far more effective than waiting until the relationship has already gone cold.
An honest note on predictive features
These features work best when Klaviyo has enough purchase data to build reliable predictions — typically a few hundred transactions or more over several months. If your store is newer or your list is smaller, the predictions may not be accurate yet. Start with the behavioural and RFM segments first, and layer in predictive logic once there's enough data to support it.
The bigger issue we see is actually the opposite: brands that have been on Klaviyo for years and have never connected these predictions to any segment or flow. The capability is just sitting there, unused.
Segmentation mistakes we see in almost every account we audit
These aren't edge cases. They show up in the majority of accounts we look at, regardless of brand size.
Emailing everyone, all the time. Sending to unengaged contacts isn't just ineffective — it actively harms your ability to reach the people who do want to hear from you. Email providers watch how your subscribers respond, and a large unengaged list drags down your sender reputation across the board.
Treating new buyers the same as loyal ones. Someone on their first order and someone on their sixth are at completely different points in their relationship with your brand. The messaging that resonates with a loyal customer will often fall flat with a new one, and vice versa.
Never cleaning up old segments. Most accounts we look at have segments no one has touched in over a year. They slow things down and create confusion about what's actually active. A quarterly segment audit prevents this from building up.
Ignoring what people actually bought. Segmenting only by email behaviour — opens, clicks — and not by purchase history means missing the most valuable signal you have. Klaviyo can see the difference between a customer who's bought from your skincare range three times and one who bought a one-off gift set. You just have to build that into your segments.
Building segments that nothing uses. Segments sitting in Klaviyo with no flow or campaign connected to them are more common than you'd think. A segment is only as valuable as what you send to it.
Where to start: a practical order for building your segments
The question we get most often is: "I know I need to do this — where do I actually begin?" Here's the order we follow when we start working on a new account:
Engagement tiers first. Separate active subscribers from unengaged ones before you do anything else. This protects your deliverability from day one.
Purchase behaviour next. Build your first-time buyer, repeat buyer, and lapsed customer segments. These three alone will unlock significantly better targeting for your flows and campaigns.
RFM segments once those are stable. Layer in champions, at-risk, and one-and-done segments once you have a clear picture of purchase patterns. These need a bit more data to be meaningful.
Predictive segments last. Once you have enough purchase history in Klaviyo, connect predicted CLV and churn risk data to your segment logic. This is where things get genuinely powerful.
You don't need to build everything at once. The value of segmentation compounds — each segment you add makes the ones you already have more precise.
Segmentation only works if your emails do too
A well-built segment with a generic email still underperforms. The two things have to work together.
The brands we see getting 35%+ of revenue from email have both sides working: the right people grouped into the right segments, receiving messages that are actually relevant to where they are as a customer. Segmentation gets you to the right audience. The email content closes the gap.
If your flows and campaigns are still broad and untargeted, better segmentation will expose that quickly — and that's a good thing. It tells you exactly where to focus next.
The bottom line
Segmentation isn't a complicated technical problem. It's a prioritisation one. Most brands know they should be doing it — they just never get around to building it properly.
Start with what's already in your Klaviyo account: engagement data, purchase history, and order frequency. Build the foundational segments first. Then layer in RFM and predictive logic as your data matures. Done in the right order, this is what moves email from a broadcast channel into a real retention engine.
If you want to know where your current segmentation stands, we offer free Klaviyo account audits for D2C brands. We'll look at what you have, what's missing, and what's worth building next.
Book your free Klaviyo audit →
