Understanding Google Signals in Google Analytics 4: How It Works and a Use Case with Demographic Data

Google Signals is a powerful feature in Google Analytics that enables cross-device tracking and enriches your data with users who have turned on Ads Personalization. When activated in GA4, it enhances your reporting with insights such as:

  • Cross-device user journeys
  • Enhanced remarketing audiences
  • More detailed demographic and interest data

Let’s explore how it works and walk through a practical use case using demographic data.

How Google Signals Works

When enabled in GA4, Google Signals:

  1. Associates user data from signed-in Google accounts (where Ads Personalization is on).
  2. Aggregates and anonymizes this data to comply with privacy standards.
  3. Enhances reports with demographics, devices, and cross-device insights.

The data is always aggregated and subject to privacy thresholds. It also requires users to have given consent via your site’s cookie banner or consent mode implementation.

How to Activate Google Signals in GA4

To turn it on:

  1. Go to Admin > Data Settings > Data Collection.
  2. Enable Google Signals data collection.
  3. Review and accept the terms and conditions.

Once activated, you’ll start seeing data in GA4 reports such as:

  • Demographics (Age, Gender, Interests)
  • Technology reports (Devices & Platforms)
  • Path exploration for cross-device behavior

Use Case: Using Demographic Data to Refine Your Marketing Strategy

Scenario:

An e-commerce fashion brand wants to understand who their best converting users are, to refine their paid media targeting.

Steps:

  1. Enable Google Signals in GA4 to collect richer demographic data.
  2. Navigate to Reports > User > Demographics > Overview.
  3. Create a segment for users who triggered the purchase event.
  4. Analyze:
    • Top age groups (e.g., 25–34 years old)
    • Gender distribution
    • Top interest categories (e.g., Fashionistas, Shoppers)
  5. Export this audience and sync with Google Ads for remarketing or similar audiences.
  6. Adjust campaign messaging to better resonate with high-converting segments.

Outcome: Improved ROAS and more personalized, data-driven advertising campaigns.

Final Thoughts

Google Signals in GA4 is essential for businesses seeking cross-device insights and privacy-compliant demographic data. It enables smarter segmentation, campaign optimization, and more effective remarketing.

Keep in mind:

  • Always honor user consent preferences.
  • Data may be limited due to privacy thresholds.
  • Use the insights as a complement—not a replacement—for your marketing intuition.

Need help interpreting your GA4 reports or making the most of Google Signals? Don’t hesitate to reach out to your analytics expert. 😉

Laurent Fidahoussen
Laurent Fidahoussen

Ads & Tracking & Analytics & Dataviz for better Data Marketing and boost digital performance

25 years in IT, 10+ in digital data projects — I connect the dots between tech, analytics, reporting & media (not a pure Ads expert—but I’ll make your campaigns work for you)
- Finding it hard to launch, track, or measure your digital campaigns?
- Not sure if your marketing budget is working—or how your audiences behave?
- Messy tracking makes reporting a nightmare, and fast decisions impossible?
- Still wrestling with Excel to build dashboards, without real actionable insights?

I can help you:
- Launch and manage ad campaigns (Google, Meta, LinkedIn…)
- Set up robust, clean tracking—so you know what every euro gives you back
- Build and optimize events: visits, product views, carts, checkout, purchases, abandons
- Create dashboards and analytics tools that turn your data into real growth drivers
- Streamline reporting and visualization for simple, fast decisions

Curious? Let’s connect—my promise: clear, no jargon, just better results.

Stack:
Ads (Google Ads, Meta Ads, LinkedIn Ads) | Analytics (Adobe Analytics, GA4, GTM client & server-side) | Dataviz (Looker Studio, Power BI, Python/Jupyter)

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