Using machine learning to break through your CDP data bottlenecks

How a CDP and machine learning enables digital experts to break through their data bottlenecks

The rapid adoption of Customer Data Platforms (CDPs) is the result of a simple promise: to assemble unified customer profiles by bringing together all the fragmented customer data from across the enterprise. However, unified customer profiles have no value in themselves, and companies adopting a CDP face the challenge of how to effectively use their CDP data to improve the results of their marketing.

The beauty of having huge volumes of data in one place with a CDP, is that it is the perfect source of data to power accurate predictions through machine learning. In this ebook, a collaboration between Relay42 and The CDP Institute, we explain how machine learning can help you break through data bottlenecks and optimize your marketing programs.

Get this guide and learn more about:

• The challenge of having too much data
• How machine learning breaks the data bottleneck
• Examples of successful case studies using machine learning to optimize their marketing
• How to prepare your team and organization for implementing machine learning