AI Targeting
Using AI to identify and reach the right audience for advertising – based on behavioral and prediction models.
Post-cookie era: AI targeting becomes more important than third-party cookies. First-party data + AI = new gold.
Explanation
Evolution beyond demographic targeting: AI analyzes thousands of signals (browsing, purchase behavior, content consumption) to predict conversion probability. Lookalike audiences, predictive audiences, custom intent are examples.
Marketing Relevance
Post-cookie era: AI targeting becomes more important than third-party cookies. First-party data + AI = new gold.
Example
Google Performance Max: AI automatically finds users with highest conversion probability across all channels.
Common Pitfalls
Black-box algorithms. Control over targeting diminishes. Privacy regulations restrictive.
Origin & History
AI Targeting is an established concept in the field of Marketing. The concept has evolved alongside the growing importance of AI and data-driven methods.