Segmentation and Targeting: From Demographics to Behavior Patterns
Why behavior data outperforms demographic assumptions in campaign planning
Why behavior data outperforms demographic assumptions in campaign planning
Segmentation means splitting your audience into smaller groups. Students typically start with demographics: age, gender, location, income. You create a persona named Sarah, 28, lives in Kyiv, earns a certain salary. Then you write ads for Sarah.
Experienced marketers segment by behavior instead. Dmytro Kovalenko manages campaigns for a fitness app. He stopped targeting 25 to 35 year olds and started targeting people who searched for home workouts three times in the past month but never completed a signup form.
A beginner segments everyone who bought once into loyal customers. Someone with campaign experience knows that one purchase means nothing. They look at frequency, recency, and basket size together.
An online bookstore found that customers who bought two books in their first order came back within 30 days. Those who bought one book rarely returned. They created a first-order discount that only applied when you added a second item. Repeat purchase rate jumped from 12 to 31 percent.
The shift happens when you stop guessing who might want your product and start watching what people actually do before they buy.