How to Set Up Free A/B Tests in Clickvoyant with GA4 Audience Tracking

Posted on by Mia Umanos
26
Jun

How to Set Up Free A/B Tests in Clickvoyant with GA4 Audience Tracking

Clickvoyant Free A/B Testing Tool: Split URL Test Setup Instructions

If you’re looking for a free A/B testing tool that integrates seamlessly with Google Analytics 4, Clickvoyant is a smart choice. This guide walks you through setting up a split URL test, tagging it correctly with Google Tag Manager, and creating GA4 audiences to analyze customer behavior and conversion performance.

Step 1: Accessing the Split URL Test

  1. Log into Clickvoyant.
  2. Navigate to the “Split URL Test” section.

Step 2: Creating a New Test

  1. Click “Add Split URL Test.”
  2. (Optional) Choose a Client Folder.
  3. Enter your:
    • Control URL (e.g., https://site.com/page-A)
    • Variant URL (e.g., https://site.com/page-B)
  4. Save the test.

Step 3: Add Clickvoyant Tag via Google Tag Manager (GTM)

  1. Go to the test’s detail view and copy the JavaScript snippet.
  2. In GTM:
    • Create a Custom HTML tag.
    • Paste the snippet.
    • Set a trigger for the relevant page (e.g., page path matches /page-A).
    • Publish your changes.

Step 4: Create GA4 Audiences for Test Segmentation

Why Audiences?

Creating audiences based on Control and Variant URLs allows you to:

  • Measure user behavior differences
  • Track conversion rates
  • Run statistical significance analysis between groups

How to Create Audiences in GA4

  1. Go to GA4 Admin > Audiences > New Audience
  2. Set up the audience:
    • Audience Name: Use a clear convention like:
      • ABTest_Homepage_Control_Jun2025
      • ABTest_Homepage_Variant_Jun2025
    • Condition:
      • For Control: page_location contains /page-A
      • For Variant: page_location contains /page-B
    • Click Save.

Tip: You can also add dimensions like device category or session source if you want to compare behavior across segments.

Step 5: Measure Performance

Use These Metrics in GA4:

  • Session conversion rate
  • Average engagement time
  • Event count per user
  • Revenue per user (if ecommerce tracking is set)

Run a Statistical Significance Test

Use an A/B test calculator (like AB Test Guide) to:

  • Enter the number of conversions and users for each group.
  • Determine if your results are statistically significant.