# Segments from real behavior. Not self-reporting.

> We build audiences from what people actually do: buy, search, watch, switch. Weighted to the German census. And best of all: you can interview every segment directly.

Segments you can not only describe, but call.

## How it works

### 01 Find segments in behavior

Purchase rhythms, brand loyalty, media use, price sensitivity: segments emerge from patterns in real data, not typology questionnaires.

### 02 Make segments talk

Every segment is researchable: AI interviews and quant studies show how groups that differ in behavior actually think.

### 03 Track segments over time

Are your core segments growing? Drifting away? The panel shows movement between segments, month by month.

## What you get

### Behavioral segmentation

Clusters from purchases, searches and media use, linked per person.

### Researchable segments

Interview any segment directly, qual and quant.

### Census weighting

Segment sizes projected to the German population.

### Segment tracking

Movement between segments over time, in the same panel.

## Why our data wins here

- **150+** behavioral features per person, computed from real data, not asked.
- **12** platforms linked per person, segments consistent across channels.
- **Census** population weights make segments projectable.

## A question you could ask tomorrow

Which segments drive our growth, and how do they differ in media behavior?

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Source: https://www.datapods.app/en/use-cases/segmentation