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A Guide to Behavioural Segmentation in Marketing for B2B Tech

  • Writer: Daryl Malaluan
    Daryl Malaluan
  • Jan 21
  • 14 min read

Ever feel like your marketing is just shouting into the void? You’ve got a solid product, you know it solves a real problem, but your messages aren't connecting. One campaign feels like a scattergun blast at everyone; the next is aimed at a persona so vague it’s practically fictional. Neither moves the needle.


It’s a frustratingly common place for founders to find themselves. But this isn't a sign you're bad at marketing. It’s a sign that you’re trying to speak to everyone at once, and a message designed for a broad audience rarely connects deeply with anyone. This is why your B2B tech marketing can feel so disconnected from actual business results.


The real issue is a lack of structure in how you see your audience. You’re probably thinking about them in broad strokes – industry, company size, or job title. That’s a start, but it doesn’t explain why one customer becomes a raving fan while another cancels their subscription after a month.


A man using a megaphone communicates ideas, speech bubbles, and arrows towards targets and an audience.


Shifting from Who to What


The small shift that changes everything is moving from who your customers are to what they do. This is the core idea behind behavioural segmentation. Don't worry, it's not another piece of marketing jargon to memorise; it's a simple, logical way to bring some much-needed clarity to your communication.


Instead of guessing what might resonate, you start looking at what people are actually doing. For instance, you could group customers based on:


  • Usage Frequency: Separate your daily power users from the folks who only log in once a month.

  • Feature Adoption: Pinpoint who's using your most valuable features versus those just scratching the surface.

  • Purchase History: Draw a clear line between first-time buyers and loyal, repeat customers.


This is where a sprint approach creates clarity quickly. By focusing on observable actions, you can build a simple but powerful framework for understanding your customers’ true intentions and needs.

This simple change in perspective is the first step toward building the structured, focused marketing you need to gain real momentum. You stop broadcasting generic messages and start having meaningful conversations with specific groups, all based on their real-world relationship with your product. When we embed with a team, this is often the very first gap we close—turning chaotic marketing into a calm, focused engine for your business.


Understanding Behavioural Segmentation


Let’s cut through the jargon. Behavioural segmentation isn’t some complex data science project only for massive corporations. At its heart, it’s a straightforward method of grouping customers based on what they actually do.


Think of it like a personal trainer. You wouldn’t hand the same workout plan to a first-time jogger and a seasoned marathon runner, even if they're the same age and live in the same neighbourhood. You’d adapt your guidance based on their actions, experience, and goals. Behavioural segmentation applies this same logic to your marketing.


This approach gives you immediate clarity because it moves past guessing what people want and instead focuses on observing their real-world actions. It’s all about creating conversations that are relevant to where they are in their journey with you, not just who they are on paper.


Two runners and a man pointing at a diagram explaining tailored guidance and behavioral rules.


The Four Core Types of Behavioural Segmentation


This is where most marketing teams get stuck. They try to overcomplicate things by tracking dozens of different behaviours at once. The best way to build structure and confidence is to start with the four fundamental types. Getting a handle on these gives you a simple, powerful framework you can build on later.


To really understand how customer actions can translate into marketing opportunities, it helps to grasp the principles of behavioral analytics. This discipline is all about finding the patterns behind the clicks, sign-ups, and purchases.


Here's a simple breakdown of the four main types, with a practical example for a B2B SaaS company to make it tangible.


Segmentation Type

What It Tracks

Example for a SaaS Company

Purchase Behaviour

How, when, and why customers buy. This looks at their purchase frequency, average value, and the complexity of their buying decision.

A group of customers who consistently purchase the premium subscription and add extra user seats every quarter. Their behaviour signals high value and deep satisfaction.

Occasion or Timing

When customers are most likely to buy or engage. This could be tied to universal events like the end of the financial year or personal triggers like a subscription renewal date.

Creating a segment for users whose annual contract is 90 days from renewal. This allows for a targeted campaign focused on demonstrating recent value and securing the renewal early.

Benefits Sought

The main value a customer is trying to get from your product. Are they looking for efficiency, cost savings, better data, or status?

One group might exclusively use your reporting features (seeking data insights), while another only uses project management tools (seeking efficiency).

Customer Journey Stage

Where a customer is in their relationship with you. This covers their level of awareness, how engaged they are, and their loyalty.

Segmenting new trial users who have completed onboarding from those who signed up but never logged back in. Each group needs a completely different message to guide them forward.


Looking at these types, you can see how they turn abstract data into clear, actionable groups.


From Theory to Practical Application


Once you start seeing your customers through these lenses, everything changes. It’s no longer about sending a single, generic email blast to everyone. Instead, you can tailor your communication with real precision.


For instance, a user who is only looking for the benefit of efficiency doesn't need to hear about your sophisticated analytics suite. They just need to see how your tool saves them time. This small shift makes your messaging instantly more relevant and far more effective.


When we start working with a new client, this is the exact gap we fix first. We help them move from chaotic, one-size-fits-all outreach to structured, relevant conversations. It gives them the confidence that their marketing is finally connecting with the right people.

By focusing on these simple behavioural groupings, you can stop shouting into the void and start building real momentum. You finally gain the clarity to know exactly what to say, who to say it to, and when to say it. This structure is the true foundation of marketing that delivers consistent results without the guesswork.


Finding Actionable Insights in Your Customer Data


Chances are, you’re sitting on a mountain of data you aren’t using. Website analytics, CRM notes, product usage logs—these are the raw materials for brilliant behavioural segmentation. But on their own, they’re just noise. It’s easy to feel like you need a data science degree to make sense of it all, but that's not the case.


The real goal isn’t to analyse everything. It’s to learn how to spot the simple patterns that reveal what your customers truly want. It’s about finding the signal in the noise.


A man uses a magnifying glass to analyze user behavior data and pricing insights on a laptop.


Where to Look for Meaningful Data


Most founders get overwhelmed because they think they need complex tools. The truth is, actionable insights are hiding in plain sight, right inside the systems you already use every day. Structure comes from knowing where to look.


Here are the three most valuable places to start digging:


  • Product Analytics Data: This is your best source of truth. Look at login frequency, which features get the most love, and which ones are being ignored. A user who logs in daily to use your advanced features is telling you they’re a power user. Someone who only logs in once a month is sending a very different signal.

  • Website Behaviour: Think of your website as a window into your prospect's mind. Keep an eye on which pages people visit repeatedly, like pricing or integrations. Notice what content they download—is it a specific case study or a whitepaper? These actions are breadcrumbs, clear indicators of their current problems and priorities. Understanding this is at the heart of our guide on what is customer journey mapping.

  • Purchase and CRM History: This data tells a clear story about value. Analyse Recency (how recently they bought), Frequency (how often they buy), and Monetary value (how much they spend). A customer making small, frequent purchases has completely different needs than one who makes a single large, one-off investment.


Beyond these traditional data points, the most powerful insights often come from actively interpreting customer actions. You can learn more about how to do this with signal-based selling strategies that turn these observations into structured, timely outreach.


A Founder Moment: Putting It All Together


Imagine the founder of an AgTech SaaS platform. For months, their marketing was a generic monthly newsletter blasted out to every single user. Unsurprisingly, engagement was low, and they couldn’t figure out why.


Frustrated, they spent one afternoon just digging into their user data, looking for simple patterns.


What they found were two completely distinct groups. One segment logged in daily, relying on the advanced irrigation scheduling tool. The other group logged in maybe once a week, just to check the basic weather forecasts.


That was the lightbulb moment. They weren’t serving one audience; they were serving at least two, each with totally different needs.


The next month, instead of one newsletter, they sent two. The power users got an email about a new water usage report feature. The casual users got a simple tip on preparing for an upcoming heatwave. Engagement rates tripled overnight.

This is the shift from seeing data as just numbers to seeing it as human behaviour. It’s where marketing finds its confidence and direction. Most teams struggle here because they’ve never had someone step in to structure the work of finding these insights. When we embed with a team, the first thing we do is fix this exact gap, turning fragmented data into a clear, actionable plan that builds real momentum.


Putting Behavioural Segments into Action


Okay, theory is one thing, but it’s useless until you apply it. This is where the rubber meets the road—turning insights from a whiteboard session into marketing that genuinely works. Many founders get bogged down at this stage because it feels overwhelmingly complex, but it doesn't have to be.


The entire point of this exercise is to add clarity and structure to your marketing. You're not aiming to create a dozen flawless segments overnight. You're looking for simple, meaningful splits in your audience that let you talk with them, not just at them.


A Real-World Example: An AgTech Company


Let's walk through a simple scenario to make this concrete.


Picture an Australian AgTech company with a SaaS platform for farm management. For a long time, their marketing was a single, generic monthly email to every user. It was a jumble of new features and company news, and predictably, the open and click-through rates were terrible.


It was a classic case of speaking to everyone and connecting with no one.


The founder felt stuck. They knew their platform was valuable, but the message wasn't landing. This is a perfect example of where a focused, sprint-style approach can quickly create clarity by zeroing in on one specific problem.


Identifying the First Two Segments


Instead of trying to boil the ocean, they decided to focus on a single, simple behaviour: feature adoption. Digging into their product analytics, they quickly spotted two very different groups of users:


  1. The Power Users: These folks were logging in almost daily. They were all over the platform's advanced crop yield forecasting tool, showing they were deeply engaged and relied on it for critical business decisions.

  2. The Hesitant Adopters: This group logged in maybe once a week but had never finished the key setup steps for the advanced tools. They were using the basics but seemed stuck, either unable or unwilling to unlock the platform's real value.


Just by separating users based on what they did, the marketing team suddenly had a clear direction. They now had two distinct groups with very different needs. It was time to stop broadcasting and start communicating.


Tailoring the Message to Match the Behaviour


With these two segments defined, the team built two completely different campaigns. This is the moment where your marketing finally clicks into place, driven by a solid understanding of your customer.


For the Power Users:


  • The Message: Their communication was all about mastery and efficiency. The subject line got straight to the point: "A faster way to analyse your yield data."

  • The Content: No generic newsletter here. Instead, they received a short, sharp video tutorial showing a new shortcut in the forecasting tool they already loved.

  • The Goal: The aim was to deepen their engagement and reinforce the feeling that they'd made the right choice. It made them feel seen and rewarded for their expertise.


For the Hesitant Adopters:


  • The Message: The tone was supportive and focused on removing friction. The subject line was encouraging: "One simple step to unlock better forecasts."

  • The Content: They got a simple, step-by-step guide on how to complete the setup for the forecasting tool, highlighting a quick win they could achieve in less than five minutes.

  • The Goal: The focus here was to reduce their feeling of being overwhelmed and guide them towards that 'aha' moment. The message wasn’t about buying more; it was about getting more value from what they already had.


This shift from a one-to-many to a one-to-few approach is fundamental. It demonstrates capability through helpfulness, not just promotion, and is a core principle behind effective relationship marketing examples for B2B tech.

The results were almost immediate. Engagement from both segments jumped because the content was finally relevant to them. The Power Users felt valued, and a good chunk of the Hesitant Adopters finally completed their setup, moving them much further down the path to becoming loyal customers.


In the Australian market, this kind of targeted messaging generates up to 58% of total revenue for brands that get it right. Data from Australian CRM systems even shows a staggering 760% revenue uplift from segmented email campaigns compared to generic ones.


By focusing on what people actually do, you can stop guessing and start building a structured, predictable pipeline. If you want to dig deeper into the data behind this, the insights on behavioural segmentation from Qualtrics are a great place to start.


Measuring What Matters to Stop Guessing



How do you know if any of this is actually working? It’s a question that keeps a lot of founders up at night. You're putting in the effort, spending the budget, but you're still not entirely sure if it’s moving the needle. It feels like you're guessing, and that lack of certainty is exhausting.


The problem usually isn’t the effort; it’s measuring the wrong things. Too many teams get fixated on vanity metrics—impressions, social media likes, or overall website traffic. These numbers might look good on a report, but they don't tell you a thing about the health of your business. They create noise, not clarity.


To get real confidence in your marketing, you have to measure what matters. That means shifting your focus from broad activity to specific, segment-level outcomes. This is how you build a marketing engine that learns and improves.


This visual shows the simple loop of turning segmentation into measurable results: identify, target, and then measure the impact.


Flowchart outlining the Segmentation Activation Process: Identify user groups, Target efforts, and Measure results.


This flow shows that measurement isn't an afterthought. It’s a core part of the process.


Core Metrics That Provide Clarity


Most teams stumble here because they’ve never had someone step in and give their measurement a proper structure. They get lost in a sea of data, tracking dozens of metrics that don't lead to better decisions.


You don't need a complicated dashboard. You just need to focus on a few core metrics that directly connect your segmentation efforts to business results. Here are the three most important ones to start with:


  1. Conversion Rate Per Segment: This is the most direct way to see if your messaging is landing. Stop looking at your overall website conversion rate—it’s a blended average that hides the truth. Instead, track conversions for each behavioural segment. Are your 'Power Users' converting on an upsell offer at a higher rate than your 'Hesitant Adopters'? If so, your targeting is working. This metric gives you immediate, undeniable proof of what’s resonating.

  2. Customer Lifetime Value (CLV) by Segment: It’s a simple truth: not all customers are created equal. By calculating the average CLV for each of your behavioural segments, you can quickly spot your most profitable groups. You might discover that your 'Loyal Repeat Buyers' are 5x more valuable over their lifetime than 'Occasional Shoppers'. That insight is gold. It tells you exactly where to focus your retention efforts and marketing spend.

  3. Churn Reduction in At-Risk Segments: One of the most powerful uses of behavioural segmentation is catching customers who are drifting away. You can create a segment of 'At-Risk Users' based on behaviours like declining login frequency. The key metric here is simple: are your re-engagement campaigns for this specific group actually lowering their churn rate? Tracking this tells you if your retention strategies are saving customers you would have otherwise lost.


By focusing on these core metrics, you move from hoping your marketing works to knowing precisely how and why it does. You gain the confidence to double down on what’s effective and cut what’s not.

A Practical Application


Let's make this real. Imagine you’ve segmented your SaaS users into ‘Active Users’ and ‘Declining Users’. You run a campaign offering a new feature guide to the ‘Declining’ group.


Instead of just looking at email opens, you measure the right thing: Did their product usage increase in the 30 days after the campaign?


That’s a metric that matters. It tells you if your marketing actually changed behaviour. It provides the clarity and direction needed to stop guessing and start building a marketing function that delivers predictable, measurable results—giving you the momentum you've been looking for.


So, What's Your Next Move?


Feeling like this is all a bit much? That's perfectly okay. It’s easy to feel like you're drowning in data and theory when you first dive into segmentation. You’re not falling behind; you just need a simple, practical starting point.


The biggest mistake I see founders make is trying to build a perfect, multi-layered segmentation model from day one. They aim for a dozen intricate segments and end up with a complex mess that goes nowhere.


That’s not the game we’re playing. The real goal is to find just one or two powerful behavioural divides that sharpen your messaging and give you some quick wins. It’s all about building momentum.


So, forget about creating some grand model for now. Instead, do just one thing first.


Start with Your Best Customers


The most potent insights are hiding in plain sight, right inside your customer base. Your first job is to pinpoint what separates your absolute best customers from the rest of the pack. I'm not talking about abstract personas or gut feelings here—I mean looking at the hard data.


Ask yourself these questions:


  • What do our highest-value, most loyal, and stickiest customers actually do?

  • Is there a specific feature they can't live without?

  • Do they log in at a different cadence?

  • Did a bunch of them happen to read the same case study right before they converted?


Answering that one core question is your first step out of the fog. It gives you an immediate, high-impact segment to work with—your A-team—and replaces guesswork with genuine clarity. This is often the perfect focus for a short, sharp sprint that can deliver real progress and point your marketing in the right direction.


Frequently Asked Questions


It’s completely normal to have a few questions when you first start digging into behavioural segmentation. It can feel like a big, complex topic, so let's clear up some of the common queries we hear from founders looking for a clearer path forward.


How Is Behavioural Segmentation Different from Demographic Segmentation?


That's a great question, and understanding the difference is key. Think of it this way: demographic segmentation groups people by who they are – their age, their location, their job title. It’s a good starting point, but it's often too broad to give you real insight.


Behavioural segmentation, on the other hand, groups people by what they do. It focuses on their actions and interactions with your business, like which features they use in your software, how often they log in, or what content they’ve downloaded. It’s far more powerful because it’s based on actual intent, which helps you create marketing that feels genuinely relevant and helpful.


Do I Need Expensive Tools to Get Started?


Absolutely not. This is a common hurdle where many founders get stuck, thinking they need a fancy, expensive data platform right out of the gate. While specialised tools can certainly help down the track, you can start with the data you already have.


Chances are, your Google Analytics, CRM, and email marketing platform are already overflowing with valuable behavioural data. The trick is to start simple. Pick one or two high-impact actions—like a user who keeps visiting your pricing page but never signs up—and build your first segment around that. Always focus on your structure first; the tools can come later.


How Many Segments Should I Create?


It’s tempting to slice and dice your audience into dozens of tiny segments, but that's a classic trap that just leads to confusion and inaction. When we embed with a team, this is often the first thing we fix to create immediate clarity. Our advice? Start with just two or three that will have the biggest impact.


For a SaaS company, a powerful and manageable starting point is creating segments for 'Active Users,' 'Inactive Users,' and 'Users Trialling a Key Feature.'

This simple structure immediately allows you to design distinct, meaningful campaigns for each group. It gives you quick wins, building the confidence and momentum you need to keep moving forward without feeling overwhelmed. You’re not trying to boil the ocean; you’re just trying to have a better conversation with the people who matter most.


 
 
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