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June 3, 2026

How to Get More Out of Your A/B Tests

Staying relevant takes more than a good campaign, it requires commitment to keep testing, refining, and improving. Experimentation is central to everything we do. Through multivariate testing, we help partners turn each result into a smart and informed next step. Knowing how to act on those results is where companies can go further. We’ve put together a practical guide on how to implement A/B test results across your organisation. 

What is A/B Testing?

A/B testing is the practice of running two variations of a single campaign element simultaneously to determine which one performs better. The practice involves isolating one variable and splitting your audience into the two versions to collect data based on their performance, and implementing the winning variation. It’s a scientific approach that prioritises evidence over assumption. 

Example: Your team is unsure whether a call-to-action text “request a demo” or “see how it works” leads to more conversions on a landing page. Conducting an A/B test helps you make the decision based on data and evidence.

How to run an A/B test: A practical framework

1. Audit Your Current Performance: Begin by analysing existing campaign data (open rates, click-through rates, conversion rates, bounce rates, and on-site behaviour). Here, you can identify where performance is falling short. Web analytics and heatmap tools are particularly useful here.

2. Identify and Prioritise What to Test: Prioritise the elements that may have the most impact on the success of your campaign. Not every variable is worth testing first. High priority elements include: your headline, primary CTA, hero image, or email subject line. These will typically have more effect than changing button colour.

3. Isolate a Single Variable: Testing one element at a time allows you to make clear judgements based on that one element. Testing multiple elements makes it impossible to determine which factors led to your results. 

4. Define Your Goals Before You Launch: Whether it’s conversion rate, engagement, or revenue per visitor, your success metric should be in line with your campaign goals. 

5. Run Both Variations Simultaneously: Split your audience equally and randomly into each group. For email campaigns specifically, try to match your test groups by demographic profile.

6. Set a Timeline and Honour It: Set a deadline for how long your campaign will run for and abide by it. Don’t end the test too early or let it run for too long, because these conclusions may be based on unreliable data. 

7. Analyse, Implement, and Document: Once you have closed your test, it’s time to review the results. If your data indicates a winning version, then implement this into your future campaigns. If your results aren’t significant, refine your hypothesis and run the test again. Every test builds on the last.

8. Repeat Systematically: Work through your list of priorities. A/B testing is the most powerful when you practice it consistently. Giving you more refined results each time. 

Implement A/B testing across the organisation

Once you have your results, don’t stop at a single landing page or campaign. Here’s how to scale the results across your entire organisation. Apply your results across different platforms. If you revised a headline that increased conversions on a landing page, test this again across similar pages on different channels. One insight can elevate performance across your entire digital environment. To get even more detailed results, segment your audience for testing. What works for one segment may not work for another. Then, build tailored experiences for each segment based on these results. Create different content formats or message styles for different audience profiles. Integrate all of these test outcomes into your data management platform to make informed decisions on targeting, personalisation, and campaign planning for all future projects. 

Conclusion 

A/B testing is one of the most reliable tools available to improve performance and make confident strategic decisions. It replaces internal debate with empirical evidence and transforms your campaigns into a continuously improving asset.