Customer segmentation tools group your customers by behaviour, purchases or traits so you can send each group something relevant. They come in two layers: data tools that build the segment from your customer data, and messaging platforms that use segments to send email, SMS and push. Many teams need one of each. Ten tools follow in no particular order.
Segmentation sounds like one job, but most businesses split it across two tools without noticing. One holds the data and decides who belongs where. The other sends the campaign. Knowing which half you're shopping for saves a lot of demos.
The ten tools below are listed alphabetically and in no particular order, and every description comes from each vendor's own website, read as of Oct 2026.
Segmentation tools at a glance
| Tool | Type | Good for |
|---|---|---|
| Blueshift | Customer engagement platform with CDP | Unified profiles and cross-channel sends |
| Encharge | Marketing automation for SaaS | Segmenting SaaS users by product events |
| Hightouch | Composable CDP and AI agents | Building audiences from warehouse data |
| Insider | AI customer engagement platform | Segments plus personalisation across touchpoints |
| Iterable | AI customer engagement platform | Marketer-run audiences, journeys and tests |
| Loops | Email platform for SaaS | Marketing, product and transactional email in one |
| mParticle | Customer data and audience platform | Predictive audiences built through conversation |
| Omnisend | Ecommerce email and SMS | Store segments by behaviour and purchases |
| RudderStack | Agentic customer data platform | Collecting and unifying event data |
| Segment | Customer data platform from Twilio | A customer data platform from Twilio |
Ten tools for building and using customer segments
Blueshift
Best for: Marketers who want behavioural, transactional and identity data in one real-time profile, then email, SMS, push and in-app from the same platform.
Encharge
Best for: SaaS companies wanting user segments built from product events, plus broadcasts to the whole audience or a single segment.
Hightouch
Best for: Teams with customer data in a warehouse who want a no-code audience builder and journeys across their channels, now with message sending too.
Insider
Best for: Brands wanting a CDP view of customers to sharpen segmentation, with personalisation and AI agents acting on intent across channels.
Iterable
Best for: Consumer apps and retailers that want marketers to control audiences, journeys and experiments directly, with Nova agents to speed up the work.
Loops
Best for: SaaS founders sending marketing, product and transactional lifecycle email from one place, from the waitlist onward.
mParticle
Best for: Data and growth teams wanting audiences, predictions and data exploration, with an agent that helps build audiences through conversation.
Omnisend
Best for: Online stores segmenting by behaviour, purchase history and engagement, with AI that analyses the audience and builds segments for email and SMS.
RudderStack
Best for: Engineering-led teams wanting to collect, unify and activate customer data, with chat interfaces that let business teams segment without waiting on data.
Segment
Best for: Companies wanting Twilio's customer data platform, starting with a free trial that needs no credit card.
Where segments get built and where they get used
Here's what I found reading the vendor pages. On the data side, Hightouch calls itself a customer data and AI platform for marketers and its page says it can send messages now, RudderStack is the agentic customer data platform, and Twilio Segment is a customer data platform with a free trial that needs no card. Blueshift says it will unify behavioural, transactional and identity data into a single, real-time profile.
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On the messaging side, Omnisend says its AI analyses your audience and builds segments, Encharge sends broadcasts to your audience or a segment, Loops is an email platform for SaaS, and Iterable gives marketers direct control over audiences, journeys and experimentation. The lines are blurring, with data tools adding sending and senders adding data features, but the split still decides which one you buy first.
Four kinds of customer segment worth building
- Behaviour. What people do: pages viewed, features used, emails opened. The most useful kind for SaaS.
- Purchase history. What, when and how often they buy. The backbone of ecommerce segmentation.
- Lifecycle stage. New signup, active user, lapsed customer. Simple, and it covers most automated journeys.
- Traits. Plan, company size, location or role, usually from your CRM or signup form.
How to choose a segmentation tool
- Where does your customer data live today: a warehouse, your product database, your store platform or your email tool?
- Who builds segments? A no-code builder matters if marketers do it without the data team.
- Do you need segments to update in real time, or is daily enough?
- Which channels will use them: email, SMS, push, in-app or ads?
- Do you already have a data layer? If you do, you may only need the messaging half.
- Can you test a segment on a small send before rolling it out?
A segment only pays off when you act on it, and my guide to segmenting your audience to improve marketing results shows how.
Do you make customer data or segmentation software? Tool makers can ask to be considered for a featured place on this list.
My plain advice on customer segmentation tools
Look at where your data sits before you look at features. If it's spread across several systems and you've got a warehouse, a data-layer tool that builds segments and pushes them out is the place to start. If you're a store or a small SaaS team with everything in one place, a messaging platform with good built-in segmentation is usually enough on its own. Start with three or four segments you'll send to straight away, and add more once those are earning their keep.
If you're still choosing where customer records live, my guide to customer database software covers it, and my list of email marketing software for small business covers the sending side.
Want your tool on this list? Featured spots and reviews here are paid partnerships. Here's how to partner with me.
Frequently asked questions
What is customer segmentation software?
It groups customers by behaviour, purchases, lifecycle stage or traits so you can target each group with different messages, offers or experiences.
What's the difference between a CDP and an email platform for segmentation?
A customer data platform collects and unifies customer data from many sources and builds segments from it. An email or messaging platform uses segments to send. Some tools now do both.
Do I need a CDP to segment customers?
Not always. If your data sits in one store platform or one email tool, its built-in segmentation may be enough. A CDP helps when data is spread across several systems.
What are the main types of customer segmentation?
The common ones are behavioural, purchase history, lifecycle stage and traits such as plan, location or company size.
Can segments update in real time?
Many tools on this list describe real-time profiles or audiences. Check whether your chosen tool updates segments live or on a schedule.
How many customer segments should I start with?
A few you'll send to straight away, such as new customers, active customers and lapsed customers, then add more once you see what works.
