# Customer Segmentation with Demographic Data

> How to perform customer segmentation with demographic data: using age, income, education and household structure for regional targeting that works.

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GENEL · 16 MAY 2025 · 2 MIN READ

## How to Perform Customer Segmentation with Demographic Data?

Regional segmentation techniques used in marketing and sales targeting.

A pale grey map of Istanbul with cells shaded into four density bands.

Cells banded by density.

Reaching the right customer, in the right place, with the right message is every business’s goal. However, the way to achieve this goal is based not only on sales data but also on demographic segmentation. Basic data such as age, income, education, and household structure are among the most effective ways to understand who customers are, where they live, and how they behave.

So, how is customer segmentation done with demographic data? In this article, we examine the ways to separate customer groups using location-based data analytics and how this information contributes to marketing and sales.

What is Customer Segmentation?

Customer segmentation is the process of grouping existing or potential customers according to similar characteristics. The aim is to develop specific strategies for each group, use resources more efficiently, and increase customer interaction.

When segmentation is done based on data, analytical results are obtained, not intuitive ones. For this, one of the most basic resources is demographic data.

What Demographic Data is Used?

The main demographic data headings used in customer segmentation are:

Age groups (young, adult, elderly population)

Gender distribution

Household size (single, family, crowded structures)

Education level

Income level

Socioeconomic status

Population density

Settlement type (urban / rural)

Migration trends (stable / mobile population)

These data can be analyzed at the neighborhood, district, or province level, and the regions where the target audience is concentrated can be clarified.

How is it Done?

### Identify Data Sources

TUIK statistics, location analytics platforms, and information obtained from your customer database form the basis of segmentation.

### Determine Your Target Audience

It should be clarified for which product or service segmentation will be done. Each target audience should be analyzed according to different criteria.

### Perform Demographic Filtering

Data is filtered on the map according to the determined criteria.

For example: “Neighborhoods with high income level + high young population density”.

### Create Segment Profiles

Meaningful names are given to the resulting clusters: “Young Professionals”, “Rural Retirees”, “Urban Families”, etc.

These segments are differentiated according to marketing language, channel preference, and product offerings.

Where is it Used?

New store location selection

Campaign targeting

Personalization of marketing messages

Product positioning

Franchise area planning

Planning field sales regions

Customer segmentation based on demographic data shows businesses not only who the target audience is but also where this audience lives and how it behaves. In this way, marketing strategies become more focused and sales processes become more efficient. Investing in the right region and the right segment is the cornerstone of growth.

To build segments on the map, see our segmentation solution, and connect the results to store decisions with our location analysis web module.

NEXT STEP

### Want this analysis for your own locations?

We answer the questions in this article with your own candidate sites, your own catchment and your own competitors — as a score, a catchment map and a written report.

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