Marketing tools

A/B Testing Tool Overview

The A/B testing tool in Limecube is designed to help you determine which of two pages performs better from a marketing perspective. This is particularly useful for paid marketing campaigns, such as social media ads or Google Ads.

Key Points:

  • Purpose: Split test between two pages to see which drives better results.
  • Best Use: Ideal for paid campaigns; not recommended for SEO, as constantly changing pages can negatively impact Google rankings.

How to Use the A/B Testing Tool

Accessing the Tool

Navigate to the A/B testing section in Limecube's marketing tools:

  • Go to the top administration menu in Limecube.
  • Go to the Settings page.
  • On the left-hand side, click on the Marketing tab.

Setting Up Your A/B Test

Choose the two pages you want to compare and set the duration of the test:

  • Create Two Versions of a Page: Set up two different versions of a landing page that you want to test under 
  • Page A: This is the URL you will use in your paid marketing campaigns. Limecube automatically rotates between Page A and Page B.
  • Traffic Rotation: Limecube ensures an even 50-50 split of traffic between the two pages, alternating visitor views to see which page performs better.

Run Your Campaign:

Direct traffic from your paid ads to the A/B test, ensuring each version receives a portion of the traffic.

Important Note: Avoid using A/B testing for SEO purposes, as it might negatively affect your search rankings due to confusing Google.

This setup allows you to effectively test and optimise your marketing campaigns by comparing how well each page performs with your target audience.

Analyse Results

After the test period, review which page version performed better based on metrics like conversions or click-through rates.

Analysing Results with Google Analytics

Ensure Google Analytics Setup:
Before starting your A/B test, make sure Google Analytics (GA4) is set up on your website. This is essential for tracking and comparing the performance of your pages.

How to Analyse Results:

  1. Access GA4: Log in to your Google Analytics account.
  2. Navigate to Reports:
    • Go to Reports > Engagement > Pages and screens.
  3. Compare Pages:
    • Use the search function to find and compare the performance of your two pages (Page A and Page B).
    • Look at metrics such as page views, average engagement time, and key events to determine which page is performing better.

Since Limecube does not currently offer built-in reporting for A/B testing, all analysis should be conducted through Google Analytics.

Tips

  1. Use Clear and Measurable Goals: Before setting up your A/B test, define clear goals such as conversion rate or click-through rate. This will help you measure the success of each variant.
  2. Test One Element at a Time: To get the most accurate results, focus on testing one element at a time, such as the headline, call-to-action, or image. This ensures that any changes in performance can be attributed to that specific element.
  3. Run Tests for a Sufficient Duration: Ensure that your test runs for a long enough period to gather meaningful data. Short tests may lead to inconclusive or misleading results.
  4. Avoid Frequent Changes: While A/B testing is about experimentation, avoid making frequent changes to your live test, as this can confuse visitors and skew results.

FAQs

Currently, the A/B testing tool in Limecube is designed for comparing two pages at a time. If you want to test more variations, you can set up additional A/B tests with different page pairs.

The duration of your test depends on the amount of traffic your pages receive. Generally, it’s recommended to run the test for at least a few weeks to ensure you have enough data to make an informed decision.

It’s not recommended to use A/B testing for SEO, as constantly changing pages might negatively impact your search engine rankings.

After your test has run for the desired duration, you can analyse the results within the A/B testing tool. Metrics like conversion rate or click-through rate can help you determine which page was more effective.

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