Conversion modeling benefits a client’s business by ensuring measurement remains privacy-safe while fueling more efficient campaign optimization and bidding.
- Deprioritizes users who have a lower reported performance to ensure the campaign is optimized to strong performance.
- Helps marketers identify people who are similar to their converters, so they can reach the entire interest group.
- Helps clients learn from the models by reverse-engineering algorithms and building their own models.
- Ensures the client’s measurement remains privacy-safe, while fueling more efficient campaign optimization and bidding.
The correct answer is: Ensures the client’s measurement remains privacy-safe, while fueling more efficient campaign optimization and bidding
Explanation: Conversion modeling benefits businesses by maintaining privacy-safe measurement practices and enhancing campaign optimization. It uses machine learning to fill gaps when conversions cannot be directly tied to ad interactions, thus providing a comprehensive view of performance. This helps in making better-informed bidding and optimization decisions, improving overall campaign efficiency and results, even as privacy regulations limit data availability.
Reference article: Measure Data Accurately and Evolve Your Strategy