Audiences vs. Google Ad Manager: How Publishers Can Build and Monetize Their Own Audiences

GPT-generated. Audiences in Google Ad Manager
GPT-generated. Audiences in Google Ad Manager

In an era where the end of third-party cookies is dramatically changing the digital advertising landscape, first-party data are becoming the publisher's most valuable currency. The ability to effectively collect, segment, and target your own audience directly impacts your revenue (eCPM).

Google Ad Manager (GAM) offers robust Audience Management tools. Let's explore the ways publishers can create their own audiences and how to best utilize them.

What are First-Party Audiences in GAM?

Custom audiences are user segments that you create based on their behavior on your websites or in your apps. Unlike purchased third-party data, this data is privacy-safe (GDPR) and fully under your control.

In the game, you can use it for:

  • More precise targeting Direct sales
  • Increase in inventory value in programmatic sales (Private Marketplaces, Preferred Deals).
  • Frequency Limit (Frequency capping) for specific user groups.

Main ways to create custom audiences in GAM

Publishers have several ways to get data into GAM and transform it into monetizable audiences:

1. Based on website behavior (Behavioral rules in GAM)

The simplest way that doesn't require modifying the website's code. You define the rules directly in the GAM interface based on existing ad units.

  • Example: You want to create an audience called "Sports Enthusiasts." In GAM, you set the rule: "If a user has visited the /sport section (Ad Unit) at least 3 times in the last 14 days, add them to this segment."
  • Settings Options Frequency (number of views) and review (for what period of time).

It can also be used Audience Pixel – a special pixel is inserted into the page code. When a user visits a specific subpage, it is recorded in the corresponding segment.

2. Using Custom Key-Values (Custom Variables)

This method is a bit more advanced, but extremely flexible. You implement dynamic variables in the ad tag (GPT tag) on the website, which tell GAM more about the context or the user.

  • Example: If you have a car portal, you can send auto_brand=bmw in the tag. In GAM, you will then create a segment: All users where the tag with the variable auto_brand=bmw was triggered.
  • Usage: Great for capturing purchase intent or specific interests based on article tags.

3. Publisher Provided Identifiers (PPID)

If you have website registration (paywall, newsletter, discussion forum), PPID is your strongest weapon. It allows you to identify a logged-in user across devices (desktop, mobile, tablet) without linking to personal data (GDPR compliant).

  • How it works When the user logs in, your system generates a hashed ID (PPID) and sends it to GAM.
  • Advantage The audience remains accurate and stable even when the user deletes cookies or switches devices. Ideal for building premium audiences for advertisers.

4. Import data from external systems (DMP / CDP / Google Analytics)

If you use external platforms for data management, GAM can absorb them.

  • Google Analytics 4 (GA4): If you have linked accounts (GA4 and GAM 360), audiences created in Analytics based on in-depth behavior (e.g., video interaction) can be directly synchronized to GAM.
  • DMP / CDP (Data Management Platforms): Via the API or supported integrations, you can upload offline data, CRM data (e.g., subscriber segments), or data from other platforms into GAM.

Advantages and disadvantages of individual approaches:

Method of creationImplementation difficultyMain advantageWhat to watch out for
Audience PixelLowSimple setup for static sections.Cookie-dependent, less flexible.
Key-ValuesMediumMassive flexibility and dynamic building.Requires a good structure of ad tags on the website.
PPID (Logged-in users)HighCross-device targeting, cookie-resistant.Requires web login infrastructure.
GA4 IntegrationLow (if connected)Leveraging advanced behavioral data from analytics.Full integration with GAM is often part of paid versions.

Best Practices for Working with Publications

Tip for effectiveness: Before you create dozens of audiences, consider whether they are large enough. Too narrow an audience (e.g., 500 people) cannot realistically be reinvested by the advertiser.

When building audiences, follow these rules:

  • Track audience size and (Membership lifespan): Set correctly how long a user should remain in a segment (e.g., a car buyer for 30 days, but a tech enthusiast for 180 days).
  • Combine segments: GAM allows for logical operations (AND, OR, NOT). You can thus create a segment: "Users who read about technology BUT ARE NOT subscribers".
  • Respect Privacy (Privacy): Always ensure you have the correct consent from users to process data for advertising targeting purposes (e.g., via TCF v2.2 CMP bar). Without user consent, GAM will not add them to an audience.

Summary

The shift to first-party data is not just a necessity due to legislation and browsers, but it's a huge business opportunity for publishers. By leveraging Behavioral rules, Key-values and Parent Process ID In Google Ad Manager, you can create unique audiences that advertisers won't find anywhere else – and that's precisely how you can justify higher ad prices on your site.

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