Which Type of Data Can the Real-Time Customer Data Platform Can Combine With?


Scott Campbell

Real-Time Customer Data Platforms (CDPs) have revolutionized the way businesses collect, analyze, and utilize customer data. By combining various types of data, CDPs provide businesses with a comprehensive understanding of their customers, enabling personalized marketing strategies and improved customer experiences. In this article, we will explore the different types of data that a real-time CDP can combine to deliver actionable insights.

Demographic Data

Demographic data provides information about customers’ characteristics such as age, gender, income level, education level, and occupation. This type of data helps businesses create Targeted marketing campaigns based on specific demographic segments. Real-time CDPs can combine demographic data from various sources like online surveys, social media profiles, and purchase history to build a complete picture of each customer.

Behavioral Data

Behavioral data includes information about customers’ actions and interactions with a business. It includes website browsing behavior, purchase history, email engagement metrics, app usage patterns, and more.

By combining behavioral data with other types of data in real-time CDPs, businesses can gain insights into customer preferences and behaviors. This allows for personalized recommendations, tailored messaging, and Targeted promotions.

Transactional Data

Transactional data refers to details about customers’ transactions with a business. It includes information about purchases made, product preferences, average order value, frequency of purchases, and more. Real-time CDPs can integrate transactional data from various sources like point-of-sale systems or e-commerce platforms to track customers’ buying habits and identify opportunities for upselling or cross-selling.

Social Media Data

Social media platforms generate vast amounts of valuable customer data every day. Real-time CDPs can collect social media data such as post interactions (likes, comments, shares), followers, social media profiles, and mentions.

By combining this data with other customer data, businesses can gain insights into customers’ social media behavior and preferences. This allows for Targeted social media advertising and engagement strategies.

Survey Data

Conducting surveys is an effective way for businesses to directly collect customer feedback and opinions. Real-time CDPs can combine survey data with other types of data to understand customers’ preferences, satisfaction levels, and pain points better. By leveraging this information, businesses can make data-driven decisions to improve their products, services, or overall customer experience.

Geographic Data

Geographic data provides insights into customers’ locations. It includes information like country, city, zip code, or even GPS coordinates.

Real-time CDPs can merge geographic data with other customer data to create location-based marketing campaigns. This enables businesses to Target specific regions with relevant offers or promotions tailored to the local market.


A real-time Customer Data Platform (CDP) can combine various types of data to provide businesses with a holistic view of their customers. By integrating demographic data, behavioral data, transactional data, social media data, survey data, and geographic data into a single platform, businesses can gain actionable insights that drive personalized marketing strategies and improved customer experiences.

By leveraging the power of real-time CDPs and combining different types of customer data intelligently, businesses can stay ahead of the competition in today’s fast-paced digital landscape.

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