While you already know that an A/B test can help you compare and thus determine the best strategy to achieve success in your similar marketing campaigns , when implementing them, it is only mentioned that you must have “a significant sample” relative to your number of subscribers, in the case of AB tests for your eMail Marketing campaigns . The sample size in A/B tests is a key factor, so today we will tell you how to determine it.
We can easily know which factors to compare between different eMail Marketing campaigns to determine their effectiveness, but what is the sample size in the tests that will be effective in achieving a good result?
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The Truth About Sample Sizes in A/B Testing for Email Marketing Campaigns
Determine your sample size for email A/B testing
Evaluate if you have enough contacts on your list to perform the test
Select the time period that your A/B test should last
The Truth About Sample Sizes in A/B Testing for Email Marketing Campaigns
Based on theory, to determine which of the variables (A/B) of your eMail Marketing campaign is more effective, you will have to wait until you have enough results to verify any significant difference between both results.
The size of your samples will depend on your company, and can take accounting directors email lists from hours, days to weeks. So, based on theory alone, you should not limit the time to obtain the results you require, which is not practical for some email campaigns due to the following factors:
Each email send has a limited audience , unlike landing pages.
Spending too much time collecting A/B test results could mean you miss out on sending other emails.
Email marketing is based on optimization for delivery at specific times .
#ctaText??# The test email, an essential tool for a great campaign
Determine your sample size for email A/B testing
To get the most out of your A/B test, you'll need to determine what the smallest portion of an overall list is that will yield statistically significant results, and you can do this by:
Evaluate if you have enough contacts on your list to perform the test
If you want to carry out an A/B sample, you will need to have a list with a fairly large number , say at least a thousand contacts, since the fewer the number of contacts, the greater the proportion of the list you will need to carry out the test.
So if you have a small subscriber list, you'll need to use about 85% of it, so if that's the case, it's best to split the list in two and use them as samples for testing, sending each half a test.
Select the time period that your A/B test should last
If you're short on time for your A/B test to run, you can find out when your email open rates or click rates start to decline, so you can correct that information as you run the test.
These metrics need to be representative, for example if you find that the opening rate drops by 80% over the first 24 hours and by 5% the next day, it makes sense to limit the time frame to 24 hours as the results would be delayed to just gather a little more information.
Another way to constrain time is to figure out what is the longest time frame you can use to submit the most successful variant, without submitting it late.
