Integrating Google Ads and Google Analytics 4 (GA4) provides a powerful combination for optimizing ad performance and understanding user behavior. Google Ads delivers detailed data on campaign metrics, while GA4 brings insights into user engagement across websites and apps.
When used together, these tools offer end-to-end visibility — from ad click to site conversion — making it easier to see which campaigns, keywords and audiences drive the most valuable interactions. Here's how to get started unlocking insights and driving better results with these tools.
Establish a measurement foundation
To make the most of Google Ads and Google Analytics, you’ll need to establish a solid measurement foundation. This ensures accurate tracking and reliable data for optimization.
Google Ads
Tagging setup
Check your tagging setup to ensure your Google tag or Google Tag Manager (GTM) setup captures conversion actions such as online purchases or lead form submissions accurately across your website. This ensures that the first-party (1P) data used by Google's AI-powered solutions is comprehensive and reliable.
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- We recommend using Google Ads conversion tracking via Google tag or GTM as the primary method for conversion tracking.
- When using GTM for conversion tracking, we recommend adding the following to ensure your setup is as durable as possible:
- A gTag for the global event snippet to fire on all pages
- A conversion linker tag to fire on all pages
- Google Ads Conversion tag(s) to fire on desired conversion events
First-party data integrations
Connect additional first-party data sources with Google Ads Data Manager to access your data wherever it lives. You’ll want to include a range of technologies to both store and manage customer information, such as cloud data storage, CRMs, customer data platforms, or marketing technologies.
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- For example, connecting Salesforce to Google Ads allows you to import offline conversions from Salesforce into Ads.
- Note: You may need additional information within your first-party dataset, such as the passing of a gclid value in a hidden field when a form is submitted and sent to your CRM.
Enhanced conversions
Use enhanced conversions for durable, accurate measurement.
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- Enable enhanced conversions for web to supplement your existing conversion tags.
- Make use of enhanced conversions for leads to share offline conversion data.
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- Recover conversions that otherwise wouldn’t have been measured
- Improve bidding optimization through better data
- Maintain user privacy by hashing first-party customer data
Attribution models
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- Utilize data-driven attribution models for a more accurate distribution of value across your customers' journey. This helps you understand the true impact of each touchpoint on conversions and helps automated bid strategies optimize the campaigns across the entire buying journey.
- Leverage Google Ads auto-tagging by ensuring it’s set up and functioning correctly.
- Note: You may want to also consider utilizing manual UTM tracking in tandem for maximum durability. This will enable you to compare the auto-tagging attribution vs. manual UTMs in Google Analytics.
Setting up a Google Ads purchase conversion:
Ensure the click-through conversion window aligns with other tracking platforms like Google Analytics’ attribution settings key event lookback window and data-driven attribution.
Enable enhanced conversions to increase conversion coverage and accuracy.
Depending on your campaign and organization’s goals, you may want to consider updating your engaged-view conversion or view-through conversion windows.
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- Note: These recommendations are for a purchase conversion in which counting every conversion makes sense. However, depending on the conversion action, you may want to consider other count settings. For example, consider setting the count to one per user for lead actions in case a user fills out multiple forms.
Google Analytics (GA4)
Use Google Analytics (GA4) for secondary insights
While we recommend native Google Ads conversion tags as a primary tracking method, you can also import GA4 key events as secondary conversion actions to compare attribution differences.
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- Send key events to Google Analytics. This allows the option to import them into Google Ads as conversions and use them for ad bidding and conversion optimization.
- Leverage the data-driven attribution model to allocate credit for each key event based on actual performance data, providing a more precise view of each interaction's contribution to conversions. It's different from the other models because it uses your account's data to calculate the actual contribution of each click interaction.
- Compare data-driven and last-click attribution using the Advertising reports in Google Analytics.
- Note: Google Analytics uses Paid and Organic as the default attribution setting. It divides the credit across all channels. If you want the Google Analytics conversion actions to be similar to the native conversion actions (minus the enhanced conversion and view-through capabilities), we recommend switching to the Google Paid Only setting.
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- Reporting attribution model = data-driven
- This setting will affect how key events get credited in reports, but it doesn’t affect user and session data.
- Changing the reporting attribution model is reflected in all key event reports and explorations that use event-scoped traffic dimensions. For example, Source, Medium, Campaign and Default channel group. In Explore, you can view a full list of dimensions compatible with attribution. User and session-scoped traffic dimensions, such as session source or first user medium, are unaffected by changes to the reporting attribution model.
- Note: The default reports that don’t use key events will still use last non-direct attribution (last click).
- Key event lookback window defaults:
- Click-through key events = 30 days
- All other key events = 90 days
- Engaged-view key events = 3 days
Be aware of data discrepancies
You might see discrepancies in the conversion numbers between Google Analytics and Google Ads conversion tracking. Learn how to fix your conversion discrepancies.
If you've double-checked that your setup is correct, check Google’s documentation for why you might see this.
In my experience, many brands struggle with data discrepancies that can lead to poor decision making. By implementing these Google Analytics and Google Ads best practices, you ensure a durable measurement foundation that captures the true impact of every touchpoint. This level of accuracy allows you to stop guessing and start scaling based on what is actually working.
Better together: Connect Google Ads and Google Analytics (GA4)
Integrating Google Ads and Google Analytics provides a seamless experience with the following benefits:
Enhanced reporting
Create Google Ads conversions based on your GA4 key events. Importing Google Analytics key events can provide a secondary reporting view using Google Analytics conversions. This can provide supplemental insight with respect to other marketing channels and attribution settings, such as last-click.
Unlock additional reports, dimensions, and metrics
View the performance of your Google Ads conversions. Linking Google Ads to Google Analytics will unlock additional reports, dimensions, and metrics to use in various spots within Google Analytics.
Audience re-engagement
Re-engage users based on their behavior in your app or on your site. Importing GA audiences allows you to remarket to users interacting with your website.
By integrating Google Ads and Google Analytics, you can streamline your marketing insights, improve attribution accuracy, and drive better campaign results. Need help getting started? Reach out to see how we can help!