Rethinking Segmentation for a More Fluid Consumer Reality

For decades, social class has been a useful shorthand for understanding consumers. Income, occupation, and geography have been used as proxies for purchasing power, preference, and brand behavior.

However, new consumer data suggests this framework is becoming less reliable as a predictor of behavior.

Rather than identifying with one fixed social class, many consumers now describe their identity in more fluid terms, shaped by financial pressure, life stage, and context. The result is a more layered view of class, where multiple reference points can coexist.

For retailers, this creates a limitation in traditional segmentation. Models built on fixed demographic inputs are increasingly misaligned with how consumers behave across different moments.

To keep pace, segmentation needs to move beyond static definitions toward behavioral, contextual, and attitudinal signals.

Class Identity is Becoming More Fluid

Attest’s research among 2,000 U.S. consumers highlights a shift in how class is defined and experienced.

Income remains the most commonly cited marker of social class (46 percent), followed by geography (34 percent) and occupation (33 percent).

But class identity is no longer singular for many people. Sixteen percent say they identify with more than one social class, suggesting a more layered sense of status.

This sits alongside uneven financial reality: just over a third of Americans feel financially comfortable, while a similar share are just about managing, and nearly a quarter are struggling.

Meet the 'Polyclass' Consumer

This overlap gives rise to the “polyclass” consumer.

Many people hold multiple reference points at once — where they grew up, where they are now, and where they aspire to be.

This reflects how class is increasingly experienced as something more fluid than a fixed position. While 16 percent of consumers identify with more than one social class at the same time, 43 percent would like to move up.

In practice, this means consumers may move between different mindsets without changing “segment.” A single consumer may move between price-conscious and premium behaviors without changing how they're classified.

Ultimately, this creates a layered structure of identity, where past experience, present reality, and future aspiration coexist and are activated differently depending on context.

How These Consumers Are Reshaping Segmentation

Traditional segmentation assumes income, occupation, or life stage can precisely predict behavior. But consumers are shifting between mindsets in real time.

Recent research highlights why:

• Consumers with similar demographics can interpret their social class very differently.
• Many consumers hold more than one class identity at the same time.
• Static segmentation can miss the gap between perceived class and financial reality.

This misalignment between how audiences are defined and how they behave reflects the limits of single-label segmentation. Consumers are drawing on multiple identities that a single label cannot capture.

As a result, static segmentation is losing precision. Instead, retailers should rely on segmentation that combines multiple signal types:

• Behavioral data shows movement across categories, price points, and channels.
• Contextual signals explain the conditions around decisions, such as timing, occasion, or promotion.
• Attitudinal indicators capture how consumers see themselves, including financial comfort and perceived mobility.

These signals highlight the need for the breadth of quantitative research and the depth of qualitative insight to understand not just what's happening at scale, but also go deep into why it's happening beneath the surface.

Moving From Static Segments to Fluid Understanding

Building lasting brand connections increasingly depends on a deeper understanding of consumers, not just fixed segment definitions.

A connected view of the consumer helps retailers turn complexity into clarity. It’s what allows retailers to consistently reach their audiences and make decisions with confidence in how consumers will respond.

Sam Killip is the vice president of insights at Attest, an AI consumer insights engine for global B2C brands.