The false statement is that conversion modeling can’t provide a complete picture of your performance when the path between ad interactions and conversions isn’t visible.
- Conversion modeling uses the behavior of observed groups to predict the behavior of other groups without identifying any single individual.
- Google’s modeled data is automatically surfaced in campaign reporting and automatically powers optimization and bidding.
- Google’s models are customized to your business, meaning they’re unique to specific customer behavior.
- Conversion modeling can’t provide a complete picture of your performance when the path between ad interactions and conversions isn’t visible.
The correct answer is: Conversion modeling can’t provide a complete picture of your performance when the path between ad interactions and conversions isn’t visible
Explanation: This statement is false because conversion modeling is specifically designed to address gaps in data where the path between ad interactions and conversions isn’t clear. It uses machine learning to fill these gaps, providing a more accurate picture of performance while maintaining privacy. Conversion modeling ensures that advertisers can still measure and optimize their campaigns effectively, even when some user data is not directly observable.
Reference article: Measure Data Accurately and Evolve Your Strategy