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Audience Intelligence Glossary

What Is Audience Analysis?

Audience analysis is the systematic description of a group of people — who they are, where they are, what else they engage with, and how that is changing. Done properly it replaces assumptions with something that can be checked; done badly it confirms whatever the team already believed.

The five layers

A complete analysis answers five questions. Most analyses answer the first and stop, which is why so many strategy documents describe an audience that could be almost anyone.

  • Demographics — age, gender, household situation. Necessary, insufficient, and the layer with the least decision value.
  • Geography — where the audience actually concentrates, down to region or postal code rather than country.
  • Interests and affinities — what else this audience engages with disproportionately. The layer that produces partnership and messaging decisions.
  • Media behavior — which channels reach them, which do not, and at what relative efficiency.
  • Development — whether the audience is growing, flat or contracting, which a single snapshot cannot show.

Three mistakes that make an analysis unusable

  • No baseline. "62% of our audience is male" means nothing until it is compared against the category or the population. Without a reference, every figure is decoration.
  • One market treated as all markets. An audience differs by country in composition, not just in size. A German profile used to plan a Spanish campaign will be wrong in ways nobody notices until the campaign underperforms.
  • Describing customers instead of the audience. Analysing existing buyers describes who was already won. It systematically excludes the people growth has to come from.

Survey-based and behavior-based analysis

The two established approaches answer different questions well. Survey research can ask why — motivations, attitudes, stated preference — on a sample of a few thousand. Behavior-based analysis observes what people actually did, at far larger scale and finer geographic resolution, but cannot ask a question that was not already implied by a behavior.

The practical division: use behavioral data to decide where and with whom, use survey research to understand why. Problems begin when one is asked to do the other's job.

How Rascasse approaches it

Rascasse builds audience profiles from observed behavioral signals — search demand, social activity, event attendance, brand co-occurrence — rather than from survey responses, and computes them separately for each of 31 built-out markets. Every profile carries all five layers, and every affinity names the reference population it was measured against.

Live example

A complete profile with all five layers: Tesla in the United States. The same entity in another market produces a different profile, not a scaled copy.

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