Using A/B Testing To Shape Successful Campaigns

Looking for new ways to achieve even better email marketing results? Discover how to use A/B testing to refine your approach and improve campaign performance.

What is A/B testing?

A/B testing, also known as split testing, is widely used in digital marketing. It involves comparing two versions of something (A and B) to see which performs better. It's a proven method that can help you refine your campaigns and achieve better results. In email marketing, it means creating two slightly different versions of your email and sending them out to a subset of your subscribers to see which one works best. 

Why should you care about A/B testing?

Because it helps you discover what approach works best for your audience. Whether you're experimenting with subject lines, call-to-action buttons, email content or timing, A/B testing helps you fine-tune your campaigns for maximum impact.

Getting started with A/B testing

Start with a clear hypothesis. This means making an educated guess about how changing one variable in your email is likely to affect its performance. Create two versions of your email (A and B), changing only one variable between them. For example, you might assume that including a personalised subject line will get more people to open your email than a generic one, so for this test you would create one version with personalisation and one without.

Setting up your A/B test

Once you have your variations ready, it's time to set up your A/B test. Most email marketing platforms, including Smart Messenger, offer built-in A/B testing functionality. For smaller databases, we recommend splitting the data evenly into two groups and sending each group a different email variant. This allows for a direct comparison between the two variants, and the results from this test can inform future campaigns.

With larger databases, it's often more practical to send the two variants to smaller subsets of the audience initially. This preliminary test helps identify which variant performs better before sending the winning version to the larger remaining portion of the database. This method ensures the majority of your audience receives the most effective email variant.

Analysing the results

At the end of the test, review key metrics like open rates, click-through rates and conversion rates. Which version of your email was most effective? Use the insights you gain to inform future email campaigns and refine your overall strategy.

Best practices for A/B testing

Start with small tests, focusing on changing just one thing at a time. Keep experiments organised and take notes to track progress. Continuously refine your approach based on what you learn from each test.

Ready to try it?

A/B testing helps your emails stand out. It's all about using data to improve your campaigns. Try different things, see what works and learn from it. Ready to get started? Contact us today and our email marketing experts will be happy to help you optimise your campaigns to achieve your business goals.

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