Mustard’s Richard Walker says “Yes it is!”. BUT, then again, shouldn’t every year be?
A strong case can be made for proclaiming 2026 as the year for segmentation research, with many organisations rethinking how they model and activate audiences.
I didn’t want to turn this into yet another blog about technological, cultural, societal, economic and political change, but there is a certain inevitably to this.
We all know change is happening – but so what?
This blog is precisely about ALL those changes – but with a much-needed focus on the “so what?” which, for those of you that know us well, is somewhat of a Mustard Mantra. So what of that seismic change in how people spend? So what if people are socialising in different ways? So what if they’re changing how they consume and connect? The more pressing question for clients isn’t what’s changing — it’s what that change means for how you understand your audience.
The chances are, if your segmentation model pre-dates 2024, then it’s out of date. People are thinking and behaving differently and, in many instances, less rationally than ever. Segmentation models built on “rational” data are likely missing the nuance and the influences of hybrid, fluid and algorithmically influenced behaviour. Consumers are harder to pin down, not because they’re unpredictable, but because they’re shaped by micro-moments and personalised journeys that didn’t exist just a few years ago.
The problem with legacy segmentation
Many organisations are still working with models built for a pre-AI world, when behaviours were easier to define and digital touchpoints were fewer.
Rewind to when you briefed in that last segmentation. You likely hoped for a segmentation that felt solid, static and future-proofed. Things have changed.
Financial brands are seeing loyalty that shifts at the tap of an app. Membership organisations are learning that “belonging” is now a fluid concept, one that competes with digital communities and more flexible affiliations. Leisure and tourism operators are finding that “family” or “millennial explorer” no longer describe people — they describe moods, shaped by context, social trends and screen time.
The world has changed. Your segmentation needs to change with it.
The rise of the living segmentation model
At Mustard, we believe that future segmentation models must evolve from static data snapshots to living, behaviourally informed systems that adapt in real time. Segmentation should be treated as a living system — one that adapts to changing behaviours, technologies and contexts. That’s easy to say, but much harder to operationalise.
Most businesses still operate in silos. Insight teams, CRM, digital and media often use different data sources and platforms. Creating a unified view of customers means re-thinking structures, not just methodologies. But those who get it right will move from knowing audiences to anticipating them.
Here’s what that shift looks like in practice.
1. Fuse traditional insight with digital signals
The strongest segmentations blend attitudinal and behavioural data — survey insight combined with digital footprints, social sentiment and even AI-generated patterns. This creates a dynamic model that evolves with real-world behaviour rather than relying on a single moment in time.
2. Segment by mindset Think “why” not “what”. Behavioural economics shows that decisions are often driven by state, not just by type. Understanding the “why” behind choices (motivations, moods, intentions) is crucial. But mindset segmentation brings challenges too: it fluctuates, and it demands an always-on approach.
3. Design for evolution, not presentation A segmentation isn’t a deck of static slides. It should live within your CRM, your media targeting and your campaign planning. A hybrid approach, defining segments by attitudes and updating them with behavioural and digital data, allows for both depth and agility. AI can help detect movement between segments, signaling when attitudes shift and interventions are needed.
Why 2026 Matters
2026 isn’t the year segmentation suddenly becomes important. It’s the year when the gap between static audience models and real-world behaviour becomes too wide to ignore.
AI and automation are accelerating faster than most audience strategies can keep up with. People are interacting across fragmented channels, and decisions are increasingly made in milliseconds. The organisations that thrive will be those with segmentations that learn, adapt and evolve in real time.
But let’s be clear: technology alone won’t solve this. AI can reveal patterns, but it takes human intelligence to translate them into meaning. The insight still needs to tell a story that connects data to decision, and decision to action.
Final thoughts
So, is 2026 the year of segmentation? Probably. But it should really be the start of something bigger, a shift towards segmentation as a living discipline.
Segmentation in 2026 and beyond isn’t just about data — it’s about the strategic integration of behavioural, attitudinal and digital insight to drive smarter decisions.
Segmentation is not a project to commission every few years, but an organisational mindset: one that connects teams, integrates data, and turns audience understanding into a source of competitive advantage.
Your audiences aren’t disappearing. They’re just moving faster than your model.
If you’d like to explore what a future-fit segmentation could look like for your organisation, get in touch.