Why a segmentation should be a living framework, not a one-off project

In our previous piece, How to brief a segmentation your business will actually use, we argued that actionability starts long before the final presentation. Thinking early about the decisions a segmentation needs to support, who will use it and how it might connect to the wider business gives it a much better chance of landing successfully.

But even the best-designed segmentation should not be treated as complete the moment the final report is delivered.

A segmentation is usually expected to work hard. It might inform strategy, identify growth audiences, shape communications, guide innovation, support customer experience and, eventually, connect into CRM or other business systems. Different teams will ask different questions of it, often at different points in time.

Trying to anticipate and answer every one of those questions in the original study is rarely the right approach. As we argued in our previous piece, loading every possible objective into the core project can make the research more complicated and the eventual segmentation less clear.

The better approach is to think of the initial segmentation as the foundation of a business framework: it provides the organisation with an over-arching view of the market, but one through which marketing strategy, communications, NPD, CX and brand strategy questions can be answered.

How do you embed a segmentation?

Identifying the segments is only the beginning. The next challenge is making sure people start using it.

Rolling out and embedding a segmentation will look different depending on your organisational structure and the intended end users; there is no one-size-fits-all solution.

We touched on this on our last article, ‘How to brief a segmentation your business will actually use’, and we’ll cover it in more detail in our next one, ‘What makes a segmentation actually usable’. But essentially, different teams will need different information, communicated in different ways. This often means a combination of workshops, playbooks, short segment profiles, videos and interactive tools.

This rollout becomes part of your segmentation framework: knowing what kind of outputs you will need at the end means they can be incorporated into the approach from the start, helping to ensure you have the right tools when you need them.

What happens next?

So, you have your segmentation, people know about it and they are starting to use it. Inevitably, that starts to generate questions – often lots of them – and that is a good thing.

Having unanswered questions does not mean the original segmentation failed. In fact, one sign that a segmentation is being used successfully is that it starts generating new questions. Once a team has decided that a particular segment represents an opportunity, the conversation naturally becomes more specific. What exactly should we offer them? Which features matter most? What would persuade them to switch? Where can we reach them? How should the experience differ?

You probably anticipated many of these at the beginning of the process. Some will have been the ‘nice-to-haves’ that couldn’t be squeezed into the survey without compromising higher-priority objectives; others may have been included in the survey but did not make it into the final deliverables – there is a limit to how many PowerPoint slides people will read in one sitting!

This is where thinking of the segmentation as the initial stage of a framework becomes useful. Once you know your priorities, the segmentation can become the backbone of subsequent insight gathering – whether that means working with data you already have or learning something new.

Use what you already have before gathering new information

A segmentation study usually produces far more information than appears in the final report.

To build and understand the segments, the research may have collected information about the wider category, competitors, behaviours, attitudes, needs, media habits, purchase journeys, product preferences and much more. Only a proportion of this will make it into the initial story – the first report needs to stay focused on the decisions that matter most.

Imagine the business identifies one segment as a strong audience for a new product. The original work may already tell you a great deal about the needs that product should address and the features that audience values. Months later, when the focus moves from proposition development to launch, the same dataset might reveal useful information about their media consumption, category repertoire or sources of influence.

If a segmentation is treated as a closed project, much of this information can end up buried in a large dataset. Your insight team may have access to it all, but not the time to delve back into it, so useful answers can easily get lost.

When a segmentation is considered as a living framework, it opens the door to additional analysis and more answers to your stakeholders’ changing needs. Follow up stages to the segmentation that utilise the existing dataset can give you far greater value, whether that’s understanding more about specific concerns of individual segments, or looking at the macro view of the category landscape. Utilising the segmentation data can deliver valuable insight, and at a far lower cost than commissioning a separate research project to find the same information.

Treating the segmentation as an ongoing asset rather than a single report gives it a longer shelf life: the same dataset can be revisited again and again to answer the different questions that emerge as the business turns the segmentation into action.

How do you build on a segmentation?

At some point, the questions the business asks will go beyond what the original research can answer. This is where the next layer of the segmentation framework comes in: using the segmentation as a springboard for future research.

The most common follow-up research is qualitative. It can transform how you talk about the segments, bringing them to life and making the tools used to embed the segmentation within the business far more effective. Quantitative research establishes the patterns that define the segments, while qualitative work deepens our understanding of the people behind them and the contexts in which those needs and behaviours play out. Hearing directly from consumers through videos, soundbites or quotes can be far more persuasive and memorable than a graph.

But there are many other reasons you might conduct further research following a segmentation. Segmentation research generally needs breadth. It has to understand enough about a market to identify meaningful patterns across different people, rather than disappearing too far down one particular rabbit hole.

Once priority segments have been identified, however, the focus narrows. You might need to investigate a particular proposition, category or behaviour. Behavioural or customer data could help you understand how the segments manifest in real-world activity. A programme that began across the whole market might later concentrate on one or two audiences, customer journeys or strategic questions.

As the segmentation is used more widely throughout the organisation, new challenges will arise as teams apply it in new ways. Your segmentation gives you a more targeted lens through which to address them – whether through further exploration, concept development, pricing or measurement.

This is exactly why you have golden questions: a small selection of questions, accompanied by an algorithm, that allows you to identify the segments in subsequent research. They provide the bridge between the initial study and future work, enabling you to continually build your knowledge of the audiences that matter to your business.

How often should segmentation be updated?

There is no universal expiry date for a segmentation. Some categories change quickly. New products, behaviours, competitors and cultural norms can alter the way people think about them in a relatively short period. Elsewhere, the underlying needs that distinguish people may remain remarkably stable even while brands and technology around them change.

That is why “we did our last segmentation three years ago” is not, by itself, a reason to start again. The more useful question is: what has changed since it was built?

Perhaps a new competitor has fundamentally altered expectations. A product or behaviour that was once niche may have become normal. New technology may have changed how people experience the category. The balance between segments may have shifted, even if the segments themselves still make sense. Or the market may look relatively similar, while the business has moved into new areas that the original research never needed to cover.

Or perhaps the change is not in the category, but in your organisation. Teams change, knowledge gets lost and people may no longer be clear on how to apply the segmentation.

Rather than putting a segmentation on an arbitrary replacement cycle, it is usually better to validate it against what is happening in the category and the business.

Validation might mean checking whether the defining characteristics of the segments still hold. Are the same groups still visible? Have their relative sizes changed? Do the needs that separated them remain meaningful? Can the existing allocation approach still identify people reliably? Are there important new behaviours, products or attitudes that now need to sit around the framework?

It is also worth considering how the segmentation is being used within the business. A completely new segmentation is much easier to introduce when there is not already one embedded in decision-making. If the existing segmentation is still being used, it may be more valuable to re-size the segments, understand how they interact with emerging media and trends that were not covered originally (for example, how each is using AI to discover products), and add new colour. Starting again risks undermining the basis for stakeholders’ recent decisions and creates the need to re-educate the business.

And if a segmentation is being replaced because an old one has fallen out of use, it is important to ask the uncomfortable question: why? Only by understanding what caused the previous segmentation to fall out of use can you reduce the risk of the new one meeting the same fate.

A segmentation should create a platform for learning

An effective segmentation does more than divide a market into groups; it forms the basis for ongoing decision-making, which in turn will naturally raise more questions.

Thinking of a segmentation as a framework creates space for these later additions and allows you to remain flexible, adapting to stakeholders’ needs and refreshing your understanding of the audience as the category and business gradually change.

The segmentation study itself is the springboard for these next steps. You do not need to predict every question the business will ask over the next five years, nor should you try to cram every possible question into the original study.

You need a strong enough foundation that, when those questions arise, you have a framework through which to answer them.

Treat segmentation as a one-off project and its value can gradually disappear into a report that fewer and fewer people open. Treat it as a living framework, and it can continue to shape learning, guide decisions and become more useful as the business learns more.

And of course, central to all of this, is the effectiveness of the segmentation itself. If it isn’t trusted, easily understood, or memorable, people won’t take action. How to ensure your segmentation doesn’t fall into these traps is what we’ll be exploring in our next topic: What makes a segmentation actually usable?