Smarter digital relationships need powerful data: meet CDP.
If you’re a marketer, you’ve probably felt your creative powers being squeezed by shrinking budgets, tighter privacy regulations, and the promised extinction of cookies. Today, you need hyper-relevant insights from accessible, usable data to capture customers and prospects’ attention. Customer data platforms (CDPs) are here to help you find and act on data that was once hidden.
This 64-page, 8 chapter ebook covers everything you need to know about marketing with a CDP. Pushed for time? Jump to the chapters you’re most interested in.
CDP for Dummies will show you how to:
Run deeper analysis to create smarter campaigns
Build a data powerhouse to outlast third-party cookies
Equip wider business units with marketing data
Choose the right CDP for your team
Comply with tightening regulations
Just starting your CDP journey? You’re in the right place. You’ll learn:
What CDPs are and why they matter to marketers
Why CDPs are the natural next step for marketing in a post-cookie world
How to decide what CDP functionality is crucial for your business
Tactics for deciding where CDP fits into your tech stack
Chapter 1 Introducing Customer Data Platforms
IN THIS CHAPTER
What customer data platform is
Customer data platforms in marketing
Key features of customer data platforms
Chapter 2 Enjoying the Benefits of Customer Data Platforms
IN THIS CHAPTER
The role of customer data platforms in marketing
Benefits of customer data platforms to marketers
Chapter 3 Choosing the Right Customer Data Platform for Your Organisation
IN THIS CHAPTER
Factors to consider when choosing a CDP
Best practices for integrating a CDP with existing technology
Chapter 4 Collecting, Integrating, and Managing Your Deluge of Data
IN THIS CHAPTER
Understanding technical data aspects of customer data
Seeing howintegrationscanbring your data to life
Chapter 5 Knowing Your Audience: Customer Profiles and Segmentation
IN THIS CHAPTER
Understanding the challenges of identity management
Using deterministic and probabilistic methods for identity resolution
Learning about grouping customers into segments
Analyzing segments with respect to a variety of business dimensions