Consider this: Your manager asks you to improve the click-through rate of your monthly newsletter. How would you go about conducting an experiment? What would you be looking to improve (and why)?
I would create 2 seperate sets of emails. I would change the headline to sample A and for sample B I would change the body but keep the headline to try and see if there’s a difference in the way it is being received.
The email’s body copy, design, images, CTA and signature. Perhaps the content is not resinating with our customers. A/B testing between two different emails should give me the results I need to improve the monthly news letter.
I would have a specific purpose for why I am testing and what I hope to get out of it. Next, I would design the test. I would test for elements for click rates by focusing on one goal at a time.
To address anemic open rates, test the subject line (as a start). Create 2 emails with different subject lines but all other elements the same. Deploy and analyze results. If the test results are statisically significant, and one population has better open rates than the other, use it to inform subject line best practices in the future.
I would have a specific purpose for why I am testing and what I hope to get out of it. Next, I would design the test. I would test for elements for click rates by focusing on one goal at a time.
We need to understand what is causing the click-through rate to remain at unsatisfactory levels. This would require multiple tests with each requiring different versions. By the end of the test period (say two quarters), we need to know if it’s the copy, the visual design, the images used, the call to action, the email signature, or a combination of these elements that requires improvement. Each test would need at least two versions, so this whole batch of testing needs at least 10 emails to be sent out, and for the open rate to be monitored to make sure you weren’t sending out too many in a short space of time. More emails might be required, but by the end of the intitial test period, it’s hoped you should have at least some idea of what might need further testing or further work.
Using A/B testing, I would create 2 versions of the newsletter with different subject line and preview text. Since the newsletter is monthly, I would test over a 2-3 month period to analyze the click-through rates with the intent to improve contact engagement levels.