How does conversion modeling benefit a client’s business?
- 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.
Explanation:
The selected answer is correct because conversion modeling enables advertisers to optimize campaigns and bidding strategies without compromising user privacy. By using aggregated and anonymized data, it ensures that client measurement practices align with privacy regulations while still providing valuable insights into campaign performance. This approach allows for more efficient targeting and optimization without relying on individual user tracking, thus maintaining privacy safety.
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.