How to combine first-party data, third-party data & AI derived insights for a more effective B2C customer intelligence stack
For: Consumer insights, research, analytics, strategy and marketing leaders who want to build a more effective B2C customer intelligence stack.
First-party data, third-party data, and AI’s interpretations aren’t competing approaches to customer intelligence. Each plays a different but valuable role. In this session, we'll explore how they complement each other, and how getting the right balance will deliver a more helpful customer view. We'll discuss how evolving privacy regulations, platform changes and developments in AI, have reshaped the role of first- and third-party data, and why the accuracy of AI-generated insights is so dependent on the quality of the underlying evidence. We’ll demonstrate how leading B2C brands are combining sources to improve their audience discovery, campaign planning, customer acquisition, and retention. You'll leave with a practical understanding of how to assess your customer intelligence stack in an era of algorithms and AI.
What you can expect to take away: · How first-party data, third-party data and AI-derived insights complement each other to create a more helpful customer view. · How privacy regulations, platform changes and developments in AI have reshaped the role of customer data. · How leading B2C brands combine data sources to improve audience discovery, campaign planning, customer acquisition and retention.
Level it’s for: Manager, Head of, Director and Executive

