Disclaimer: This article is for general informational and educational purposes only. It does not constitute professional market research, financial, statistical, advertising or business advice. Organisations should undertake appropriate research and seek specialist advice before making commercial or strategic decisions based on demographic or socio-economic classifications.

Market Research UK Guidance

For decades, marketers and researchers have divided British consumers into familiar ABC1 and C2DE social groups. But changing employment patterns, household structures, technology and consumer behaviour are raising an important question: do these classifications still tell us enough about modern Britain?

For generations, the letters A, B, C1, C2, D and E have been part of the language of British marketing.

Businesses, advertisers, media organisations and market researchers have used social grade to help understand audiences, segment consumers and determine who might be most receptive to particular products, services or campaigns.

However, the way people live and work has changed dramatically.

Remote working, self-employment, portfolio careers, online businesses, multiple household incomes, the gig economy, digital entrepreneurship and changing patterns of wealth mean that someone’s occupation may no longer provide a complete picture of their purchasing power, lifestyle or consumer behaviour.

That is creating an important debate for the UK market-research industry: Is it time to move beyond ABC1?

What Does ABC1 Actually Mean?

The traditional UK social-grade classification is primarily based on occupation and employment status.

Broadly, the categories have historically included:

• A – Higher managerial, administrative and professional occupations
• B – Intermediate managerial, administrative and professional occupations
• C1 – Supervisory, clerical and junior managerial, administrative and professional occupations
• C2 – Skilled manual workers
• D – Semi-skilled and unskilled manual workers
• E – State pensioners, casual or lowest-grade workers and some people relying on state benefits

The National Readership Survey describes social grade as an occupation-based classification and notes that household classification has traditionally been determined using the occupation of the Chief Income Earner.

Importantly, income itself is not a component of the traditional social-grade classification, although occupation and income can correlate.

The Market Research Society describes Social Grade as a long-established “common currency” used throughout advertising, marketing and market research.

The system therefore still has practical value.

The question is whether it should continue to be treated as sufficient on its own.

Why Is the Debate Becoming More Relevant?

At the MRS Annual Conference 2026, an initiative called ReCLASSified brought together organisations from across media and research to examine alternatives to traditional socio-economic groupings.

Participants included representatives from OMD UK, Ipsos, Channel 4 and ITV.

The project reflects a wider industry discussion about whether ABC1 classifications accurately represent the complexity of modern consumers.

This matters because segmentation influences enormous numbers of decisions, including:

• Advertising targeting;
• Media planning;
• Product development;
• Pricing strategies;
• Customer profiling;
• Political and social research;
• Brand positioning;
• Audience measurement;
• Consumer research;
• Public-policy research.

If the underlying classification is too broad, organisations could misunderstand the very audiences they are attempting to reach.

Occupation Does Not Necessarily Equal Wealth

One of the most obvious limitations of occupational classification is that job title and financial circumstances are not necessarily the same thing.

Two people with similar occupations could have completely different financial situations.

One may:

• Own their property outright;
• Have substantial savings;
• Receive investment income;
• Have inherited wealth;
• Have low household expenditure.

Another person with exactly the same occupational classification might:

• Have a large mortgage;
• Pay high childcare costs;
• Have significant debts;
• Support several dependants;
• Live in an expensive part of the country.

Their theoretical social grade may be identical.

Their actual spending power could be very different.

The Rise of the Self-Employed and Digital Entrepreneur

Traditional employment categories can also struggle to describe modern entrepreneurship.

Consider somebody who runs an online business from their home.

They might simultaneously be:

• A business owner;
• Consultant;
• Content creator;
• Marketer;
• Web developer;
• Researcher;
• Freelancer;
• Investor.

What occupation accurately describes them?

Digital technology has blurred many traditional occupational boundaries.

A microbusiness owner may earn considerably more than somebody employed by a large organisation, while another entrepreneur may deliberately keep their personal income low while reinvesting profits into their business.

Occupation alone cannot reveal these differences.

A Household May Have Several Income Sources

The concept of one Chief Income Earner can also feel increasingly simplistic when applied to some modern households.

A household might receive money through:

• Salaries;
• Freelance work;
• Business profits;
• Pensions;
• Investments;
• Property;
• Royalties;
• Benefits;
• Online platforms;
• Multiple part-time jobs.

Consumer purchasing decisions may also be made collectively rather than by the person traditionally regarded as the principal earner.

Researchers therefore need to understand the economic structure of the household, not simply attach a letter to it.

Cost of Living Has Changed Consumer Segmentation

Where somebody lives can dramatically affect their disposable income.

A £40,000 salary does not necessarily produce the same standard of living everywhere in Britain.

Housing costs, transport, childcare, energy costs and regional living expenses can create major differences.

This means market researchers increasingly need to consider measures such as:

• Household income;
• Disposable income;
• Housing costs;
• Geographic location;
• Household size;
• Debt commitments;
• Savings;
• Financial resilience.

Understanding what somebody earns is useful.

Understanding what they can actually afford to spend can be considerably more useful.

Wealth and Income Are Not the Same

Another important distinction is the difference between income and wealth.

A pensioner might technically have a relatively modest annual income but own a high-value property outright and have substantial savings.

Conversely, somebody earning a professional salary could have very little accumulated wealth.

Market researchers studying areas such as:

• Financial services;
• Retirement;
• Luxury goods;
• Property;
• Travel;
• Insurance;
• Investments, may therefore benefit from considering wealth alongside income and occupation.

Consumer Identity Is Increasingly Behavioural

Modern market research has access to something earlier generations of researchers could only have imagined: Behavioural data.

Consumers continually produce signals through their interactions with businesses.

Depending upon permissions, privacy requirements and research methodology, organisations can study behaviours such as:

• Purchasing frequency;
• Brand loyalty;
• Subscription behaviour;
• Website activity;
• Product preferences;
• Price sensitivity;
• Search behaviour;
• Customer-service interactions;
• Shopping channels;
• Media consumption.

This can reveal far more about a customer’s relationship with a market than an occupational category alone.

Psychographics Add Another Dimension

Demographics tell researchers who someone is.

Psychographics can help researchers understand why they behave in a particular way.

Psychographic research may examine:

• Values;
• Attitudes;
• Motivations;
• Aspirations;
• Beliefs;
• Interests;
• Priorities;
• Lifestyles;
• Risk tolerance;
• Environmental concerns;
• Attitudes towards technology.

Consider two people who are identical in age, income and occupation.

One might prioritise sustainability and willingly pay more for environmentally responsible products.

The other might prioritise price above everything else.

Traditional demographic segmentation could place them in the same category.

Their purchasing behaviour could be completely different.

Life Stage Can Be More Valuable Than Social Grade

Life stage can also provide powerful insight.

Consumers may behave differently depending on whether they are:

• Students;
• First-time workers;
• New parents;
• Homeowners;
• Carers;
• People approaching retirement;
• Retirees;
• People starting businesses;
• People experiencing redundancy;
• People living alone.

Needs change throughout life.

A consumer’s occupation might remain broadly similar for years while their financial priorities change dramatically.

Disability Should Not Be Ignored in Consumer Research

Another consideration is disability and long-term health conditions.

Disabled consumers represent a substantial part of the population, yet disability has historically been overlooked within some forms of consumer segmentation.

Accessibility can directly influence:

• Purchasing decisions;
• Brand loyalty;
• Digital behaviour;
• Transport choices;
• Product requirements;
• Customer-service preferences;
• Communication channels.

Two consumers with similar demographic profiles may interact with a brand very differently if one requires accessible services or assistive technology.

Inclusive market research therefore needs to ensure disabled participants are represented appropriately rather than treated as an afterthought.

From Demographics to Multidimensional Segmentation

The future may not require abandoning social grade entirely.

Instead, researchers could combine it with richer variables.

A modern segmentation framework might incorporate:

1. Demographics
   Age, gender, household composition and geographic location.
2. Socio-economic information
   Occupation, employment status, income and education.
3. Financial circumstances
   Disposable income, housing status, debt, savings and financial resilience.
4. Behavioural information
   Actual purchasing and engagement patterns.
5. Psychographics
   Values, motivations, attitudes and lifestyle.
6. Life stage
   Parenthood, retirement, caring responsibilities or home ownership.
7. Digital behaviour
   Online shopping, technology adoption and media consumption.
8. Accessibility and inclusion
   Factors influencing how people interact with products, services and communications.

The result is potentially a much more detailed representation of the individual.

The Danger of Over-Segmentation

More data does not automatically mean better research.

Researchers must also avoid creating so many categories that segmentation becomes unusable.

A successful segmentation model should be:

• Understandable;
• Measurable;
• Statistically meaningful;
• Commercially useful;
• Ethically collected;
• Reproducible;
• Sufficiently stable;
• Actionable.

There is little value in identifying hundreds of consumer micro-segments if businesses cannot meaningfully act upon them.

Privacy Must Remain Central

More sophisticated consumer profiling also creates greater responsibility.

Researchers and organisations must consider:

• UK GDPR;
• Data protection;
• Transparency;
• Consent;
• Lawful processing;
• Data minimisation;
• Profiling risks;
• Algorithmic bias;
• Data security.

The ability to collect information does not automatically mean organisations should collect everything available.

Good market research needs both powerful insight and ethical restraint.

AI Could Accelerate Multidimensional Segmentation

Artificial intelligence is likely to make complex segmentation easier.

Machine-learning systems can identify patterns within large datasets that may be difficult for researchers to identify manually.

AI could potentially examine combinations of:

• Customer transactions;
• Behavioural research;
• Survey responses;
• Demographic data;
• Qualitative interviews;
• Social-listening data;
• Customer feedback.

Researchers could then identify groups based on meaningful behavioural similarities rather than relying exclusively on predetermined demographic categories.

However, human oversight remains essential.

An algorithm may identify a statistical pattern.

A skilled researcher must determine whether that pattern is meaningful, ethical and capable of answering the research question.

Market Researchers Are Becoming Interpreters of Complexity

The wider UK research and insight profession is itself evolving.

The Market Research Society reported in its 2025–26 Annual Review that the broader UK evidence sector contributes an estimated £18.74 billion in gross value added and supports approximately 350,000 jobs.

MRS has also highlighted investment across the sector in data quality, AI, analytics, professional skills and digital transformation.

This illustrates something important.

Market research is no longer simply about conducting surveys.

Modern insight professionals increasingly combine:

• Research methodology;
• Behavioural science;
• Analytics;
• Technology;
• Commercial understanding;
• Qualitative interpretation;
• Strategic thinking.

Segmentation methodologies will naturally evolve alongside those capabilities.

Does ABC1 Still Have a Place?

Probably, but perhaps not as the entire story.

Social grade remains widely recognised, relatively simple and useful for comparisons across large datasets and historical research.

Even the National Readership Survey notes that social grade was never designed to explain every element of society or consumer motivation and that it can be combined with variables such as income, age, family stage and lifestyle.

The important distinction may therefore be between using ABC1 as one research variable and using it as a complete description of the consumer.

A person’s occupation tells researchers something.

It does not tell them everything.

The Future of Market Segmentation

The biggest shift in market research may ultimately be moving away from asking:

“Which category does this person belong to?”

and towards asking:

“What combination of circumstances, behaviours, needs and motivations explains this person’s decisions?”

That difference may appear subtle, but it represents a fundamental change in how businesses understand consumers.

Traditional demographic classification created convenient boxes.

Modern research increasingly has the ability to examine the individual behind the box.

The challenge will be achieving this without creating excessive complexity, invading privacy or allowing automated systems to make assumptions that researchers cannot justify.

Conclusion

ABC1 segmentation has played an important role in British advertising and market research for decades and is unlikely to disappear overnight.

However, Britain itself has changed.

• Employment is different.
• Households are different.
• Technology is different.
• Consumer behaviour is different.

The research tools available to understand those consumers are also dramatically different.

The emerging debate around alternative socio-economic classifications therefore reflects something much bigger than whether researchers should continue using the letters A, B, C1, C2, D and E.

It represents a wider shift towards multidimensional consumer understanding.

The future of segmentation may not involve replacing one classification with another.

Instead, the most effective market research may combine demographic, economic, behavioural, psychological and contextual data to build a more realistic picture of the people behind purchasing decisions.

For market researchers, businesses and policymakers, one principle should remain constant:

Never mistake a convenient classification for the complexity of a human being.

---