Conversion Modeling

Conversion Modeling estimates conversions via AI models when cookie consent is missing or tracking gaps exist.

What Is Conversion Modeling?

Since cookie consent and privacy regulations restrict data collection, many advertisers only see a fraction of their actual conversions. Conversion Modeling fills these gaps and is the foundation that allows Smart Bidding to function despite data loss. Without modeled conversions, your bid strategies would optimize on distorted data and waste budget.

Conversion Modeling is Google’s AI-powered method for estimating conversions that cannot be directly measured due to missing cookie consent, browser restrictions, or cross-device switches. Since a growing share of users rejects tracking cookies or browsers like Safari and Firefox restrict cookies by default, significant gaps arise in conversion data.

Technically, Google’s model analyzes the conversion patterns of measurable users and transfers these statistically to unmeasurable users. Signals like device type, time of day, location, and campaign context are factored in. The modeled conversions appear in your reports as part of the total and are not visible individually there. You can recognize the modeling share only by decimal values, similar to Fractional Conversions.

For your campaign management, Conversion Modeling is a necessity: without modeled conversions, you would systematically underestimate actual campaign success and make wrong optimization decisions. At the same time, you should know its limits: the fewer directly measurable conversions available, the less accurate the model becomes. Strengthen your first-party data through Consent State Pings and server-side tracking to give the model as solid a data foundation as possible.