What is a Headless CDP? | RudderStack

By neub9
3 Min Read

Many in the industry have repeatedly stated that the current CDP architecture is not effective. Every vendor claims to be the solution to the problem, but they often overlook the fact that it will take an ecosystem to solve all customer data use cases across a wide range of tools and downstream teams.

CDPs were created to address two main issues with existing toolsets: customer data ingestion at scale and omni-channel experiences. Traditional marketing suites were not designed to handle multiple types of customer data at scale, and early marketing tools were primarily built for delivering digital experiences in one channel.

However, CDPs attempted to solve these problems but failed in several ways. They were traditionally built and sold to marketing teams with limited support from data and engineering teams, and they also struggled to compete with more advanced marketing tools that lacked robust data.

Therefore, the CDP needs to be reinvented. Instead of trying to be the source of truth for customer data or competing with the UI/workflow/delivery layer, the CDP should focus on solving the fundamental challenge faced by all stakeholders – the lack of access to a complete view of the customer.

This is where the concept of a Headless CDP comes in. A Headless CDP is a tool with open architecture, purpose built for data and engineering teams, that makes it easy to collect customer data from every source and build a customer 360 in your own warehouse, then make that data available to your entire stack.

This architecture solves the pain points of traditional CDPs and other business tools by providing data teams with full control over data management and access to the customer 360, while allowing marketing and every other business team to use their tools of choice and have access to the full customer 360.

The beauty of this architecture is that it allows for multiple integration patterns for putting the customer 360 to work across downstream systems. Whether a tool requires direct integrations into the data warehouse or needs 1st party data sent directly to its API, the Headless CDP can manage the connection and ensure the data is delivered or synced.

In conclusion, cloud data warehouses have solved the data problem and business tools are better than ever. Now is the time for a robust layer that completes the relationship between the data stack and the business stack – the headless CDP.

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