Audience Targeting and Segmentation

Why Industries Cut Audiences Into Slices

From the industry's point of view, an audience is not a philosophical concept — it is a resource to be measured, segmented, reached and monetised. In this lesson we step from audience theory into audience practice. We look at how producers identify, classify and target audiences, using tools ranging from the decades-old NRS social grades to contemporary algorithmic segmentation. We return to demographics and psychographics introduced in Lesson 1, deepen them, and add newer frameworks — the long tail, niche audiences, data-driven behavioural targeting — that are essential for AQA's media industries and media audiences frameworks.

The Classic Demographic Tools

UK media industries still rely heavily on a set of classic demographic categories.

NRS Social Grades

The National Readership Survey social grades — A, B, C1, C2, D, E — were developed for newspapers in the 1950s and remain in use across print, TV and radio planning.

Grade	Approx. % UK (2020s)	Typical chief earner
A	4%	Senior managers, barristers, surgeons
B	23%	Middle managers, teachers, nurses
C1	28%	Junior managers, clerical, retail supervisors
C2	20%	Skilled manual workers
D	15%	Semi-/unskilled manual
E	10%	State pensioners, casual, unemployed

"ABC1" captures the higher-income, higher-education audience sought by advertisers of financial services, broadsheet newspapers and prestige drama. "C2DE" is targeted by tabloids, lottery brands, budget retailers and commercial entertainment. The categories are blunt: a nurse (B) may have less disposable income than a plumber (C2), yet the system places them in "higher" and "lower" grades.

Age and Generation

TV buying still uses age-banded demographics (16–34, 16–44, ABC1 adults). Generational labels — Baby Boomers, Gen X, Millennials, Gen Z, Gen Alpha — are popular in marketing but academically contested. They work as shorthand but do not predict individual behaviour reliably.

Generation	Typical birth years
Baby Boomers	1946–1964
Gen X	1965–1980
Millennials	1981–1996
Gen Z	1997–2012
Gen Alpha	2013–

Gender and Ethnicity

Gender targeting remains central to magazine and advertising markets, although increasingly contested for reinforcing binaries. Ethnic targeting is a growing priority for UK media industries aiming to serve diverse audiences.

Geography

Regional and local targeting matters enormously in news, radio and outdoor advertising. ACORN and Mosaic geodemographic systems segment UK postcodes into dozens of neighbourhood types — "Prestige Positions", "Modest Means", "Wealthy Executives" and so on.

Psychographics Revisited: VALS and Beyond

Demographics answer "what are you?". Psychographics answer "what do you value?". We met VALS in Lesson 1; here we place it alongside other frameworks.

VALS (Values and Lifestyles)

VALS groups consumers on two axes: primary motivation (ideals, achievement, self-expression) and resources (high to low).

Group	Motivation	Resources
Innovators	All three	High
Thinkers	Ideals	High
Believers	Ideals	Low
Achievers	Achievement	High
Strivers	Achievement	Low
Experiencers	Self-expression	High
Makers	Self-expression	Low
Survivors	Minimal	Very low

4Cs and Young & Rubicam's Cross-Cultural Consumer Characterization

Y&R's 4Cs divides consumers into seven groups: Resigned, Struggler, Mainstreamer, Aspirer, Succeeder, Explorer, Reformer. Each prefers different media, brand tones and narratives.

Maslow's Hierarchy of Needs

Marketers often map products and ads onto Maslow's pyramid — from physiological needs (food, shelter) through safety, belonging, esteem to self-actualisation. Premium brands pitch self-actualisation; insurance pitches safety; budget products pitch physiological security.

flowchart TD
    A[Self-actualisation:<br/>luxury, lifestyle] --> B[Esteem:<br/>status brands]
    B --> C[Belonging:<br/>community brands]
    C --> D[Safety:<br/>insurance, security]
    D --> E[Physiological:<br/>food, essentials]

Limitations of Psychographics

Psychographic frameworks are suggestive but often circular (we know people value "self-expression" because they buy self-expressive products). Used alongside demographics and behavioural data they help; used alone they can mislead.

Behavioural and Algorithmic Targeting

Digital platforms have supplemented demographic and psychographic targeting with behavioural targeting — inferences from actual online behaviour. Every click, scroll, dwell time, share and search is logged and turned into inputs for predictive models.

Key features of behavioural targeting: