What is conversion modeling?
Conversion modeling refers to the import of observable conversions into Google Ads that model only the best quality conversions.
Conversion modeling refers to the process of creating custom columns in Google Ads to model your conversion data and performance.
Conversion modeling refers to measuring marketing using machine learning when a subset of conversions can’t connect to ad interactions.
Conversion modeling refers to observed conversions and uses cookies to connect between ad interactions and conversions.
Explanation:
Conversion modeling is the correct answer because it addresses the modern measurement gap where privacy regulations, browser restrictions, or cross-device journeys prevent a direct, observable link between a click and a sale. By using machine learning to analyze historical trends and enormous datasets, Google can accurately predict the likelihood of conversions from a subset of conversions that can’t connect to ad interactions, ensuring that advertisers have a complete and holistic view of their performance without compromising user privacy.