Skip to main content

Many people are getting their hands on Google Analytics 4 aka GA4 and they need to understand:

1. Session Source/Medium Dimension: For sessions lacking the automatically captured session_start event, the report will show “not set” under the session source/medium.

2. Landing Page Dimension: The term “not set” may appear under the landing page dimension if a session doesn’t include a page_view event.

3. Content Group Dimension:

  • When pairing the content group dimension with automatically collected events like session_start or first_visit, “not set” may appear. This discrepancy arises because these automatically captured events don’t recognize the content_group parameter, making the data combination invalid.
  • Additionally, “not set” will display if an event transmits the content_group parameter with an empty value, e.g., (content_group: “”).

4. Auto-Tagging Status: Ensure auto-tagging is activated. If not, familiarize yourself with the steps to enable it. (regarding Google Ads). Do not use UTM’s and Auto Tagging with Google Ads, if you do not know what are the consequences because data will be mismatched

5. Traffic from Unlinked Google Ads Accounts: Should the GCLID parameter persist on your Google Ads final URLs, verify if there are other Google Ads accounts promoting your website that haven’t been linked to your GA4 account. Traffic from these unlinked accounts will be denoted as “not set” in Google Ads reports, given the inability to associate these conversion events with a specific click.

6. Manually Tagged Destination URLs: When using manual tagging of destination URLs with UTM parameters instead of auto-tagging, “not set” may appear for URLs with incorrect or missing parameters. Such URLs could originate from Google Ads accounts and other platforms like social networks, blogs, or distinct websites. In cases where Analytics fails to get the required parameters to determine the origin of traffic from manually tagged URLs, it defaults to “not set”.

7. Consent Mode V2 not correctly configured: When using a consent banner solution you should take care if the right signals are sent when the user consents or does not consent (see article about consent mode v2)

If you’re experiencing challenges with your data analytics, we offer a complimentary Quick Audit to assess the status of your Google Analytics 4 migration. Visit our website at https://ittechbuz.com/quick-audit-google-analytics-4 to learn more.

reference:

https://support.google.com/analytics/answer/13504892

Recent Content that 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