Email Marketing: How to Segment your Email List (Step-by-Step Tutorial)

Chase Dimond | Email Marketing
39 followers
7 Video Views·Sep 17, 2026
I walk through multiple ways to best segment your email list. I'll explain each segment + show you exactly what criteria needs to be added to create the associated segment.
AI Generated·May contain errors
Video Summary
AI GeneratedThis video provides a comprehensive guide to email list segmentation, focusing on how to target specific audience groups to improve open rates and relevance. The presenter explains various segmentation strategies—including engagement levels, demographics, geography, and purchase history—to help marketers optimize their campaign performance and deliver personalized content.
Hey guys, in this video I'm going to be talking about list segmentation. There's different ways
to segment it and whatnot, so I'll be diving into that. Before we start, if you're not already on
my newsletter, please sign up, join, subscribe, you'll get awesome weekly tips just like this
video. So just go to Chase Diamond, there's no A in diamond, a backslash newsletter, click here to
start, enter your email. All right, let's drive into some segmentation. So when we think about
segmentation, there's a couple ways that we segment audiences. The first is based off engagement.
So whether someone has opened or clicked an email in X number of days, so a 30-day engaged,
60-day engaged, a 90-day engaged, and so on. So I'm going to walk you guys through right now how
to create, for example, a 30-day engaged, and here's how I think about creating these segments
of who you should send. So when you send a campaign, the benchmark for the open rates should
be 20% or higher. And if you send every single day, then the segment that you should hit should
be more restrictive and more limited. So if you send campaign every single day, which most
people don't, you should be leveraging maybe a 30-day or 45-day engaged segment. The reason for
that is you've sent 30 to 45 emails. If someone hasn't opened or engaged with a single email,
the likelihood of them continuing to engage or ever open an email is probably pretty slim.
Whereas if you send a few times a week, a few times a month, you can probably get away sending
to a 60, 90, 120-day engaged, potentially even all the way up to 180. You just have to monitor
kind of your open rates. And if you're well above 20%, then you can kind of go from a 90-day engaged
to a 120-day engaged. But let's talk into a 30-day engaged. So let's chase 30-day engaged.
So you're going to start, I always just add this by saying someone is not suppressed. And then
this one's going to be pretty simple. It's just going to be that someone has opened email at
least once in the last 30 days, or someone has clicked an email at least once in the last 30
days. So that segment, super simple. There's a lot of other things you can add. Maybe someone
hasn't purchased, or maybe someone has purchased, et cetera. But just for a really high level 30-day
engaged, someone's not suppressed, and they've opened or clicked in the last 30 days. So that's
one example. Say we want to do that, but we want to just target the second option, which is gender.
So 30-day engaged targeting men. So in Klaviyo, they have something called predictive analytics.
And that will actually tell you whether someone's likely female, likely male, or they're unsure.
So if we go over here to predictive analytics, then we look for gender. If we say someone is
likely male. So this is the 30-day engaged targeting men. So if we have a product that we
sell just for men, or just for women, or just for kids, we're going to want to send people in the
product that are relevant to them. So let's update this. So we had 8,800 before that were
in that window. Now it's saying right about half, a little less than half of them are men.
So same thing if we want to do this for women. So we'd say someone's likely female. Again,
this isn't a perfect science, but it gives you a rough estimate and a good use case. So
it's a quick check. Pauletta, Alexis, Ruth, looks like women. So this company has less women on
their list. And you'll see that obviously there was 3,000 something before. There's 1,500 here
now. There's a percentage that Klaviyo is unsure about, which means that they won't tell you that.
They won't give you that. They'll basically say they're uncertain. So that's where the
remaining people went. So that's another way to segment is based off engagement plus gender.
Another thing that we do, for example, when recording this video, it's on June 30th. For
the 4th of July, which is this weekend, you'll be watching this video after 4th of July. You don't
want to hit everyone in the world about that. You only want to hit people here in the US.
So we could do something like someone is located here in the US. So I'll just have to update this,
but this is 30 day engaged of people here in the US. So ignore the title. So that means everyone
that's not in this segment is outside of the US. So location is another one, especially for
holidays that are relevant to specific places. We can do a 30 day engaged. Say we sell products
where we sell flip-flops, shorts, sandals, beanies, hoodies, you name it. Say it was the winter or the
spring, we might want to send people on the West Coast and email with the sandals and the flip-flops
because it's always nice where we are on the West Coast. On the East Coast, we want to probably
send people that are wearing beanies and whatnot. So what we could do is 30 day engaged
based on West Coast. What we could do is go over here, basically say someone's proximity to a
location. So we could say someone's within 500 miles of my zip code. I live in Orange County,
California, and they're based here in the US. So we can obviously, we would have to add a couple
other cities and a couple other radiuses, but just as an idea, there's a thousand people that
live in this area within California. So you could send emails to these people with products for
warmer weather, whereas on the East Coast, maybe in the winter or the spring, you send people
different types of products. So again, kind of quickly going through what we had, we were
segmenting based off engagement, 30 days, 60 days, 90 days, et cetera. We were segmenting based off
gender. We were segmenting based off of geo, and those are a couple of ways to do it. Now,
the other way to do it is based off of people purchasing or not purchasing. So again, I don't
want to give away too much info on this company, so I'm not going to kind of go any further, but
you could say you have a product A and product B, and those are typically bought together.
You could say someone has, you know, purchased, placed an order, and you can kind of add a filter
for, you know, the collection or the specific item or the specific SKU, right, and say that
people bought product A but not product B. You want to send an email to the people that brought
product A, introducing product B and saying it pairs well with product A for reasons X, Y, and
Z. So this is kind of at a high level, some stuff about segmentation, and I hope this helps. If you
have any questions, as always, hit me up on Twitter, reply to this email, and once again,
if you're not already on my list, please do subscribe. Thank you.
