We've covered targeting by who people are (demographics) and where they are (location). Now let's explore behavioral targeting - reaching people based on what they actually do online.
This gets us closer to understanding intent and predicting future actions.
Engagement Message
Which seems more powerful for predicting purchases - age or recent shopping behavior?
Behavioral targeting uses digital footprints people leave behind. Every website visit, search query, video watched, and purchase creates data about interests and intentions.
Think of it as reading digital body language to understand what someone might want next.
Engagement Message
What recent online behavior of yours would predict your next purchase?
Website Activity: Pages visited, time spent, products viewed, items in cart. Someone browsing running shoes for 20 minutes shows strong interest.
Search History: Queries reveal immediate needs. Searching "best laptops 2024" signals purchase readiness.
Engagement Message
Why would time spent on a product page be more valuable than just visiting it?
Purchase History: Past buying patterns predict future purchases. Someone who buys organic food regularly will likely continue doing so.
App Usage: Time in apps, features used, in-app purchases show engagement levels and interests.
Engagement Message
If someone frequently uses a fitness app, what products might interest them?
Engagement Patterns: Email opens, ad clicks, social media interactions, video completion rates. These show what content resonates and drives action.
Each behavior signal gets stronger when combined with others - multiple signals create behavior profiles.
Engagement Message
