Understanding Customer Data: A Guide to the Key Data Categories

In today’s data-driven world, the effective use of customer data is key to delivering personalized services, targeted marketing, and long-term customer loyalty. But which types of data really matter? Below, we present eight essential data categories that help businesses build a comprehensive understanding of their customers:

1. Behavioral Data

These insights reveal how customers interact with digital offerings, such as:

• Website or app interactions

• Usage frequency and time patterns

• Transaction behavior

• Location and device-related activity

2. Master / CRM Data

These are classic profile and master data, including:

• Age, gender, address

• Occupation and household size

• Customer ID and contact information

3. Transaction Data

This data provides insights into purchasing behavior:

• Time, value, and type of transactions

• Purchase frequency and payment methods

• Merchant category codes

4. Product Data

Product-related information is especially important for assortment analysis and pricing strategies:

• Product ID, category, price

• Availability and performance

• Product attributes

5. Financial Data

These help assess customers’ financial status and creditworthiness:

• Income, credit rating

• Payment defaults, CLV (Customer Lifetime Value)

• Payment and purchasing behavior

6. Third-Party Data

External data sources provide deeper insights:

• Demographic and socioeconomic data

• Geolocation data, online tracking profiles

• Scoring values (e.g., credit scores)

7. Account Data

Important insights from payment accounts:

• IBAN, account balance, debtor information

• Payment references and transaction amounts

• SEPA categories and spending classifications

8. Loyalty & Service Data

Crucial for customer retention:

• Loyalty program status

• Collected points, redemptions, rewards usage

• Program duration and service interactions