A/B testing of email campaigns
Find out which type of email your subscribers like best
* No credit card required
Rely on statistics, not guesswork
A/B tests will reliably show which of the emails will receive the best response from your audience
What are A/B tests used for
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Sales increase
Test various options for selling email elements, their combinations, content and appearance. More opens and clicks = more sales
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Preference research
Check any ideas, from the content of emails to their design. Tests will show what your audience likes the most
What can be tested with
A/B campaigns in NiceSender
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Subject and preheader
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Content and template style
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Location of elements
A/B testing is easy!
Start split testing email campaigns in a few minutes
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Step 1
Create an A/B campaign
Make several options of the tested elements of the email
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Step 2
Customize criteria
Specify the conditions for choosing the winner of the A/B test: opens, clicks, complaints
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Step 3
Compare results
Evaluate how A/B testing improved email conversions
A/B testing cases
See what the results are after using A/B campaigns
We've never used emojis in email subject lines before, we thought the official approach was better. But we checked it in A\B test. As a result, open rates increased by 2.71% due to the use of emoticons alone. On a large volume of recipients, this is very noticeable.
Gianna F.
Milagro
We tested different email designs, measuring the number of clicks. The winner was the option in which the “Details” button was next to each online course, and there was not one for the entire block.
PAULA
Deleitar
I tested the button names "Add to Cart" and "Buy Now". After sending multiple emails, the click-through rate for the Add to Cart button was 3.72% higher. Through ab testing, we have determined that our customers prefer shopping through the shopping cart.
Andrew M.
Marketer at BGHome
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What is email A/B testing (split testing)?
Email A/B testing (or split testing) is a method where you compare two or more versions of an email (A and B) to see which one performs better. The service automatically sends different versions to a small test group, determines the "winner" by open or click rates, and then sends the most effective version to the rest of your audience. This allows you to rely on real data, not intuition.
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Which email elements can I test in NiceSender?
You can A/B test almost any email element to find the best solutions. The most common things to test are:
- Subject and preheader: To increase open rates.
- Content and Call-to-Action (CTA): To increase the click-through rate (CTR).
- Design and layout: To understand which email structure is most effective for your audience.
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How does the A/B testing process work in your email marketing platform?
We've made the process as simple and automated as possible:
- Create your email variations. For example, with two different subject lines.
- Choose the test group size. For example, 20% of your total mailing list.
- Set the winning criteria. For example, more opens or clicks, and the test duration. The service will automatically send the emails to the test group, determine the winner, and then automatically send the best version to the remaining 80% of your subscribers.
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Is there an extra fee for email A/B testing?
No, this is a core tool for advanced email marketing. The A/B testing feature is included in all of our plans, including the "Free Forever" plan.
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Can I test several ideas at once (for example, the subject line and a button)?
Technically, yes, but we do not recommend it. If you change both the subject and the button, and the winning email gets more clicks, you won't be able to figure out what exactly worked: did the new subject line attract more people, or was the new button design more effective? The golden rule of marketing is: one email A/B test, one hypothesis.
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What is the minimum mailing list size for a reliable email split testing?
To get statistically significant results you can rely on, we recommend conducting email A/B tests on segments with at least 1,000 active recipients. With a smaller audience, random factors can too heavily influence the result, and your conclusions may be incorrect.
Increase the conversion of your emails right now
A/B testing of email campaigns is the basis of your success
Enjoy!
