Your guide to conversion modeling

How to improve your modeling

You can enrich the data you provide to Google to strengthen your measurement and improve your automated bidding. Before you use conversion modeling, you should set up your Google tag. Using a Google tag ensures stronger, more accurate conversion modeling by mitigating unobserved conversions. The Google tag helps reduce disruption by unlocking multiple durable identifiers (for example, first-party cookies, and PII).

This icon represents the enhanced conversions for web solution.

Enhanced conversions for web

  • What it does: Helps improve the accuracy of your account-wide conversion measurement by increasing observable data and improving overall quality of conversion modeling. Your first-party data is matched with signed-in Google users who engaged with your ads. When a match happens, a conversion is recorded. This matching is privacy safe and happens in an encrypted environment. It uses a secure one-way hashing algorithm called SHA256 on your first-party customer data, such as email addresses, before sending to Google.
  • Who it’s for: Advertisers who want to measure web conversions. Learn how to set up enhanced conversions for web manually with your Google tag or set up enhanced conversions for web manually with Google Tag Manager.
  • Performance impact: For conversions affected by Apple's ITP, enhanced conversions help advertisers recover up to 15% additional conversions compared to advertisers who haven’t implemented enhanced conversions. Advertisers who implement enhanced conversions also see a conversion uplift of 17% on YouTube and 3.5% impact on Search bidding.

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This icon represents the consent mode solution.

Consent mode

  • What it does: Automatically adjusts how your Google tags behave based on the cookie consent status of your users and enables Google to model for gaps in conversions.

  • Who it’s for: Advertisers who want to recover conversions from users who don't consent to ads cookies through a consent banner. This is especially relevant for advertisers in the EEA, UK, CH regions whose measurement is affected by the ePrivacy Directive.
  • You’ll need to have:
  • Performance impact: Results from Google Ads have shown that, on average, conversion modeling through consent mode recovers more than half of ad-click-to-conversion journeys lost. Those results may vary depending on consent rates and your consent mode setup (for example, if you use advanced settings, you can recover 2 times more on average.)

 

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This icon represents the on-device conversion measurement solution.

On-device conversion measurement

  • What it does: Helps recover observability for in-app conversions otherwise not counted as a result of decreasing The Identifier for Advertisers (IDFA) on iOS post-ATT. On-device attribution connects a user to their user-provided email, for example, collected by your app’s sign-in experience through Google Analytics for Firebase (GA4F). Our on-device conversion approach protects a user's data by ensuring that no identifying user information is sent off the device in an identifiable way. This matching and attribution is facilitated by the Google Analytics for Firebase SDK.
  • Who’s it for: App developers who want to run iOS app promotion campaigns and have 1P user-provided email addresses available.
  • Performance impact: Increases observable data for app campaigns, leading to improvements in measurement and modeling and enabling better performance.

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