Audience Comparison Review: Google Analytics Audiences vs. Adobe

Audience Comparison Review: Google Analytics Audiences vs. Adobe
Estimated Reading Time: 4 minutes

Having the ability to build out audiences to leverage for your paid marketing efforts is one of the most valuable features of a digital analytics tool. As I’m sure you are aware, both Google Analytics as well as its Adobe Analytics counterpart have the capability to do this and to be honest, the configuration and level of effort is about the same for each.

Since our teams at InfoTrust commonly work with both Adobe as well as Google products, we wanted to dig deep to understand differences in areas such as audience configuration, volume, and integration with other marketing tools. After a good bit of research and also talking with Google and Adobe product teams, we were able to consolidate our findings as well as put together a side-by-side comparison highlighting the various features and key differences.

Audience Configuration Comparison

The level of effort to create an audience between the tools is about the same—it takes approximately 10 minutes on average to create an audience in both Adobe and Google Analytics. 

The configuration is also similar in that they both use definition logic to include and/or exclude traffic based on conditions. Configuration settings such as sequences, which allow you to base your audience off a sequence of conditions, is also possible in both Adobe and Google.

One key difference we noticed is that once you create an audience in Google Analytics, the approximate volume is available in the UI. Specifically, you are able to see audience size for Google Ads Display as well as Google Search. From what we gathered, Adobe does not have this functionality.

Another capability that Google has that does not appear to be included within Adobe is its ability to permanently exclude users from your audience if they match a specific condition. This is huge for ecommerce companies who most commonly want to create audiences around users that interact with a product (aka Add to Cart) but never have purchased. It ensures that you are only targeting those who have yet to purchase a product as they will be excluded from the list. Here’s some documentation from Google on this in case you are interested in learning more about this feature.

Audience Integrations

The integrations that Google Analytics has to connect your audiences with other Google products is the main advantage we found when compared to Adobe. Here are some specifics:

  • Audience Upload to Google Ads: This was automatic from the Google Analytics UI and available same day. For Adobe, there were multiple steps to complete and the audience data would not be in Google Ads for 24-48 hours.
  • Native Integrations: As you would expect, Google Analytics has native integrations with its other marketing products. Specifically, you can find native integrations for Google Analytics to Campaign Manager, Display and Video 360, Publisher Integrations (DFP/Adx/AdSense), and Audience Center DMP.

Summary of Findings: Comparison Chart

After reviewing both tools in detail, we found they were very comparable when it comes to configuration and the various abilities you have to segment audiences. We also tested audience volume when applied to a Google Ads campaign and were unable to find a clear winner after months of monitoring.

From what we found, the major differences have to do with the various integrations that Google has with its other products. If your main advertising is within Google Ads itself, you may find that it’s a lot easier to get an audience up and running and you will be able to get audience volume estimates right in the UI immediately to understand advertising reach.

Finally, if you are using any other Google advertising products (DV-360, DFP, etc.) you are able to integrate these natively within Google Analytics if you have a premium account.

Here’s a high-level comparison summary for Adobe vs. Google Analytics for reference:

FunctionGoogle AnalyticsAdobe
Audience creation level of effortApprox 10 minutesApprox 10 minutes
ConfigurationDefinition logic to include and exclude data based on conditionsDefinition logic to include and exclude data based on conditions.
Lookback windowCan be editedCan be edited. Must be done in AA if a Lookback Window is required.
SequencesAble to be definedAble to be defined
Audience volume Available in GA UI. Shows Google Ads display audience size and search audience sizeAvailable in Adobe UI. Does not show Google Ads data.
IntegrationCan be integrated with Google Signals for cross-device reportingAdobe has “Cross Device Analytics” functionality “Stitch User Visits Across Devices”. Can be applied via a “Person segment container” in the Segment builder.
Upload to Google AdsAutomatic from Google Analytics interface. Available same day.Not automatic and multiple steps. AA to AAM, etc.
Timeline: Audience data in Google AdsSame day24/48 hours
Permanently exclude users based on conditionsAble to configure within GANot possible
PixelsGA audience configuration does not require pixels to implementCan configure without pixels

Need help with your audiences?

The InfoTrust team is here when you need us.

Author

  • Andrew Witherow

    Andrew Witherow is a Lead of Enterprise Technology and Consulting on the Health and Fitness Team. IAs part of his job, he aids companies in overcoming healthcare obstacles and has a strong interest in teaching both clients and colleagues about technical setups for gathering data across various systems. In his free time, Andrew loves to travel the world and as a Florida resident, is likely spending his weekend on a boat in the Gulf of Mexico.

Facebook
Twitter
LinkedIn
Email
Originally Published: September 1, 2021

Subscribe To Our Newsletter

September 1, 2021

Other Articles You Will Enjoy

App Install Attribution in Google Analytics 4: What You Need to Know

App Install Attribution in Google Analytics 4: What You Need to Know

App install attribution in Google Analytics for Firebase (GA4) is a feature that helps you understand how users discover and install your app. It…

6-minute read
Tracking User Behavior with Events in Google Analytics 4: Examples and Use Cases

Tracking User Behavior with Events in Google Analytics 4: Examples and Use Cases

So you’ve created your Google Analytics 4 (GA4) properties, created your data stream(s), and followed all the necessary steps to configure your property. Now…

5-minute read
What Is Consent Mode in Google Analytics 4 and How Does It Work? | A Beginner’s Guide

What Is Consent Mode in Google Analytics 4 and How Does It Work? | A Beginner’s Guide

Consent Mode in Google Analytics 4 (GA4) is a helpful tool for website owners to respect user privacy preferences when it comes to tracking…

3-minute read
Predictive Analytics in Google Analytics 4: How to Use Machine Learning to Forecast User Behavior and Outcomes

Predictive Analytics in Google Analytics 4: How to Use Machine Learning to Forecast User Behavior and Outcomes

Google Analytics 4 (GA4) is embracing the power of machine learning by incorporating predictive analytics within the platform so that you can use your…

7-minute read
Google Analytics 4 Implementation Checklist: Ensure You’re Tracking Everything You Need

Google Analytics 4 Implementation Checklist: Ensure You’re Tracking Everything You Need

In the dynamic landscape of digital marketing, data is supreme. Understanding user behavior, preferences, and interactions on your website is crucial for making informed…

4-minute read
Google Tag Best Practices for Google Analytics 4

Google Tag Best Practices for Google Analytics 4

After collaborating with several of my colleagues at InfoTrust including Bryan Lamb, Head of Capabilities, Corey Chapman, Senior Tag Management Engineer, Chinonso Emma-Ebere, Tech…

4-minute read
How Data Maturity Can Cultivate a Data-Driven Culture

How Data Maturity Can Cultivate a Data-Driven Culture

Data-driven decisions are a buzz topic in Martech. It is essential for C-suite executives to understand and more importantly, use their data to move…

4-minute read
Leveraging Custom Dimensions and Metrics in Google Analytics 4 for Content Performance Measurement: Best Practices and Real-World Examples

Leveraging Custom Dimensions and Metrics in Google Analytics 4 for Content Performance Measurement: Best Practices and Real-World Examples

In today’s digital landscape where content reigns supreme, understanding how your audience interacts with your content is paramount for success. For news and media…

5-minute read
Advanced Analysis Techniques in Google Analytics 4: How to Use AI-Powered Insights and Predictive Analytics for Effective Marketing

Advanced Analysis Techniques in Google Analytics 4: How to Use AI-Powered Insights and Predictive Analytics for Effective Marketing

AI-powered insights and predictive analytics are revolutionary tools reshaping the modern marketing landscape. These advanced analytics techniques, particularly prominent in Google Analytics 4 (GA4),…

8-minute read

Get Your Assessment

Thank you! We will be in touch with your results soon.
{{ field.placeholder }}
{{ option.name }}

Talk To Us

Talk To Us

Receive Book Updates

Fill out this form to receive email announcements about Crawl, Walk, Run: Advancing Analytics Maturity with Google Marketing Platform. This includes pre-sale dates, official publishing dates, and more.

Search InfoTrust

Leave Us A Review

Leave a review and let us know how we’re doing. Only actual clients, please.