Sinus-Milieus and Music Taste: Why TikTok Trends Do Not Define Your Generation

By Gerald Czech, Mag., EMBA, doctoral researcher at WU Vienna — 15 August 2026

Why does my feed represent an entire generation when I reject every second trend? Why can two 25-year-olds listen as if their playlists came from different centuries? Why does “Gen Z” explain less than whether someone seeks security, status or social change?

Ignoring a social-media trend does not mean you have missed your generation. Age influences taste but is not a complete model of society. People born in the same year differ in education, social position, values, scenes and biographies. Milieu models begin here.

A generation is not a personality

Generational labels compress millions of people into a convenient category. Cohort experiences still matter: growing up with streaming differs from saving for a CD. French data analysed by Glevarec and Cibois reveal generational and historical structures in music and film tastes; age cannot be isolated from education, knowledge and social position.

Shared age does not create a shared lifeworld. Two 25-year-olds may have different education, incomes, expectations and networks. One uses techno for networking, another listens to folk music with family, and a third collects experimental cassettes. Age remains insufficient.

In my research, I repeatedly encounter the weakness of single-variable explanations. Musical taste is a good example: experienced as personal, publicly effective as a signal and changeable across situations.

What are Sinus-Milieus?

The Sinus-Milieus are a social model maintained by the SINUS Institute. It groups people with similar values, outlooks, lifestyles and social positions. Transitions are fluid; milieus are neither rigid boxes nor diagnoses.

The models are country-specific. The ten German milieus cannot simply be transferred to Austria, Switzerland or elsewhere. A website must state which country an assignment concerns.

The currently presented German model consists of ten milieus:

1. Conservative Established Milieu: responsible, established high achievers with classical bourgeois values.
2. Post-Materialist Milieu: educated, individualistic and oriented towards justice, sustainability and conscious living.
3. Performer Milieu: efficiency-, achievement- and progress-oriented, with high standards of style.
4. Expeditive Milieu: ambitious, creative, experimental and cosmopolitan.
5. Neo-Ecological Milieu: progressive but realistic, ready for transformation and pragmatically sustainable.
6. Adaptive-Pragmatic Middle: flexible, utility-oriented and modern, while seeking security and belonging.
7. Consumer-Hedonistic Milieu: pleasure- and experience-oriented, positioned between adaptation and rebellion.
8. Precarious Milieu: striving for participation, recognition and economic security, often with experiences of social disadvantage.
9. Nostalgic-Bourgeois Milieu: oriented towards order and harmony, seeking stability and sceptical of accelerated change.
10. Traditional Milieu: down-to-earth, duty- and security-oriented, attached to established models of life.

These summaries are deliberately not music profiles. The official model does not say, “Performers listen to charts; post-materialists listen to vinyl.” Such equations would be stereotypes, not milieu research.

Why music can still be a milieu marker

Music is part of everyday life. It costs time, attention and sometimes money, and happens in concert halls, clubs, festivals, kitchens or on trains. It carries values such as authenticity, achievement, tradition, community and protest. Milieu orientations may therefore appear as probable patterns, not unambiguous assignments.

Bourdieu’s concept of cultural capital helps explain these patterns. People differ not only in what they hear but also in knowledge, confidence of judgement, access to culture and the ability to express taste effectively in social situations. An unknown artist may indicate genuine curiosity; they may also serve as an object of distinction. Mainstream music may be passive habit—or a deliberately shared language of community.

Two 25-year-olds, two lifeworlds

Imagine Leon and Mira. Both are 25, live in Berlin and use the same platforms.

Leon works for an international consultancy, invests in career and fitness, and uses electronic events for networking. His playlist combines dance tracks, ambient music for concentration and selected classics. This fictional profile is compatible with the Performer Milieu—but proves nothing.

Mira works for an environmental initiative, buys used recordings and considers artists’ production conditions. She listens to independent music, folk, global pop and political songwriters. This could fit a post-materialist or neo-ecological orientation. Music remains one indicator among several.

Both may like the same TikTok sound. Leon saves it for a workout; Mira uses it to discover an artist and then reads an interview. Same track, different embedding. A genre model sees equality; a habitus analysis asks about function, context and meaning.

Figure: Fictional profiles, not official Sinus assignments and not real user data. “Milieu proximity” should be used in publication only if the distinction from the licensed original model is unambiguous.

What the TikTok feed actually shows

TikTok says its “For You” feed ranks content using interactions and expressed interests. It is not a representative survey of an age group, but a personalised selection shaped by behaviour, platform logic and popularity.

This creates two illusions. A personalised trend can appear ubiquitous through repetition, while a widespread sound may remain invisible when user behaviour sends different signals. “Everyone is listening” often means: “My algorithmic environment shows it frequently.”

Streaming platforms do not automatically homogenise taste either. Research published in 2025 even suggests that platform use can increase diversity in cultural consumption. At the same time, the increase may be socially unequal. Algorithms do not remove differences; they interact with existing resources and dispositions.

How HabitusMatch can use milieu proximity responsibly

A serious profile should not jump directly from a song to a milieu. A transparent sequence of testable approximations is more appropriate:

1. Observation: Which artists, genres, periods and levels of popularity appear in the list?
2. Pattern: How broad, exploratory, traditional, community- or status-oriented does the selection appear?
3. Context: What is known about listening situations, selection and biographical meaning?
4. Hypothesis: Which value and lifestyle orientations are compatible with these patterns?
5. Milieu proximity: Which milieu descriptions fit—and which counter-indicators exist?
6. Uncertainty: Which statements are weak because data are missing or several explanations are equally plausible?

If HabitusMatch uses only music lists, an official Sinus classification cannot be justified methodologically. An exploratory and clearly labelled description of similarity may be possible. It would become more robust only with additional validated questions about values, social position and lifestyle, plus external testing using data with lawfully collected milieu assignments.

Ten milieus are a simplification

Every typology reduces complexity. People hold contradictory orientations, change over time and move along milieu boundaries. Social position and values do not always align neatly. The SINUS Institute also emphasises fluid transitions.

A milieu profile should therefore not say, “This is what you are.” A better formulation is: “Some patterns in your selection resemble this lifeworld, while others resemble that one.” Ambiguity is not a technical defect; it is part of social reality.

This position also guards against condescension. No milieu possesses the superior taste in music. Cultural hierarchies are themselves objects of investigation. Anyone who quickly judges people for schlager, gangsta rap or classical music mainly demonstrates their own boundary-making.

Conclusion: listening differently is not an algorithmic error

Social-media trends tell us something about circulation and attention. Age tells us something about life stage and cultural formation. Milieus tell us something about values, lifestyle and social position. None of these levels alone explains why a person loves a song.

HabitusMatch can bring them together if it uses cautious language: not as a machine sorting people into ten boxes, but as a tool that reveals connections between cultural choices and social lifeworlds.

If your feed claims that everyone is excited and you feel nothing, this is not a personal failure. Perhaps you inhabit a different lifeworld. Perhaps the algorithm knows you poorly. Perhaps the song is simply not very good. Occasionally, that explanation is allowed too.

Continue: Sinus-Milieus and habitus · Analyse your own profile · How HabitusMatch works

Sources

• SINUS Institute. Sinus-Milieus Germany (continually updated official description; accessed 13 August 2026). Official page
• SINUS Institute. What are Sinus-Milieus? Official methodology page
• Bourdieu, P. (1984). Distinction: A Social Critique of the Judgement of Taste. Harvard University Press
• Coavoux, S., & Aussant, A. (2025). Streaming Platforms, Filter Bubbles, and Cultural Inequalities. Sociological Science, 12, 572–600. DOI
• Glevarec, H., & Cibois, P. (2021). Structure and Historicity of Cultural Tastes: The Case of Music and Movies. Cultural Sociology, 15(2), 271–291. DOI
• TikTok (2020). How TikTok Recommends Videos #ForYou. Official explanation