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Predictive Audiences Definition
Predictive audiences are audience segments generated by analyzing user behavior and predicting future actions, such as conversions or churn. Machine learning models identify high-potential users, enabling more effective targeting in advertising campaigns.
How Predictive Audiences Works
- Platforms analyze historical user interactions and attributes.
- Predictive models score users based on their likelihood to convert.
- High-probability users are grouped into predictive audiences.
- Advertisers target these audiences for optimized performance.
Example of Predictive Audiences
A streaming service targets predictive audiences identified as likely to subscribe based on previous content engagement.
Why Predictive Audiences Matters in Advertising
- Enhances targeting efficiency and campaign effectiveness
- Increases conversions by focusing on high-potential users
- Reduces wasted spend on low-intent audiences
- Supports smarter, AI-driven marketing strategies
