Skip to main content

Google Analytics 4 (GA4) introduced a more flexible and user-centric way of measuring user interactions compared to Universal Analytics (UA). One of the significant changes was in the way conversions (or what were previously known as “goals” in UA) are defined and tracked

Here’s a detailed explanation of conversions in Google Analytics 4:

What are Conversions in GA4?

In GA4, conversions refer to any valuable user actions on your website or app. These can be anything from a user making a purchase, signing up for a newsletter, downloading an ebook, or any other action that’s valuable to your business.

“Conversions can be counted for each time they happen or only one time for each session like on Universal Analytics.”

How to Set Up Conversions in GA4:

In GA4, any event can be marked as a conversion. This is different from UA, where only specific goals could be defined as conversions.

To set up a conversion:

  1. Go to your GA4 property.
  2. Click on “Events” under the “Configure” section.
  3. Locate the event you want to mark as a conversion and click on it.
  4. Toggle the “Mark as conversion” switch.
  5. Your event is now tracked as a conversion.

Conversions Reporting:

You can find data on your conversions in various parts of the GA4 interface.

The “Life Cycle” reports will show conversion data in the context of the user journey, from acquisition to engagement and finally to conversion.

The “User” reports help you understand more about the audience converting on your site.

The “Events” reports show detailed data about the conversion events you’ve marked.

Comparing Conversions Across Segments:

One of the powerful features in GA4 is the ability to quickly compare conversions across user segments. You can create segments based on various parameters and then see how different groups of users convert.

Value-driven Conversions:

In GA4, you can assign a monetary value to your conversions. This helps you quantify the impact of conversions on your business. It’s especially useful when analyzing return on ad spend or the overall value of your traffic.

Flexibility with Conversion Attribution:

GA4 introduces a more flexible approach to attribution. It allows for more sophisticated attribution models that can account for multiple touchpoints in a user’s conversion journey, unlike UA’s last-click model.

Source:

https://support.google.com/analytics/answer/13672281

Need training ?


People like you are reading:

  • AI Visibility Measurement: The Executive Rulebook for 2026
    How should CMOs measure brand visibility in AI answers across ChatGPT, Claude, and Gemini under the IAB AI visibility measurement standards? Context: In August 2026, the Interactive Advertising Bureau (IAB) released the Project Eidos framework for measuring brand visibility in artificial intelligence answer engines. The Problem: Traditional search traffic is declining rapidly (down 20% to 60% across publishers and corporate sites), while AI chatbot answers dominate product discovery. 20+ vendors sell conflicting visibility metrics with no shared accuracy baseline. The Framework: Organizes visibility into the Four Ps: Presence (Mention and Citation Rates), Prominence (Position and Content Utilisation), Portrayal (Sentiment, Framing, and Hallucination vs. Factual Inaccuracy), and Persuasion (Recommendation Strength and Post-Citation CTR). Quality Standard: Splits data into Directional Monitoring (for internal trends) and Decision-Grade Measurement (statistically robust with confidence intervals, 500+ query stratified libraries, and weekly cadence). Action for Leaders: Apply the eight-point vendor procurement checklist, implement the IDIRA Framework across GA4 and CRM data via secure MCP servers, and prepare teams via specialized IDIRA marketing framework training.
  • Agentic Marketing Transformation: How to Build Corporate Intelligence
    What is agentic marketing transformation, how does it solve the CMO say-do gap identified by BCG, and how can mid-market European enterprises move from isolated employee prompting to governed corporate intelligence under GDPR and the EU AI Act?
  • Marketing Decision Throughput: The Real AI Value Driver
    Evaluating AI by software licences or headcount cuts fails to show financial return. Real economic value comes from increasing marketing decision throughput, which measures the velocity of commercial choices informed, accelerated, or automated by AI. While bolt-on tools yield less than 1x ROI, redesigning workflows around the IDIRA framework and IDIRA.chat delivers a 20 per cent EBITDA uplift and a 3x return per euro invested. This approach converts static GA4 and CRM metrics into instant conversational dialogue while guaranteeing European data sovereignty under GDPR and the EU AI Act.
  • Why Should You Use Conversational AI with Your Own Marketing Data?
    Executive Summary The Executive Dilemma: Drowning in Dashboards, Starving for Answers Marketing directors and C-suite leaders face a persistent bottleneck. Systems collect gigabytes of customer data every day across web…
  • Everyone uses AI in Marketing, almost no organisation learns from it!
    Your AI in marketing should not be a helper. It should be the colleague who tells you the campaign is not working. What McKinsey, BCG, MIT and Gartner tell us…

This post is also available in: Português (Portuguese (Portugal)) Español (Spanish)

Leave a Reply