A/b Split E-mail Testing-- A Summary

By Author: Oliver Costa
Total Articles: 3
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Specify Method of Testing

A/B or Split email testing is a method by which you partition (typically 20-40 %) of your email audience up into 2 segments for the purpose of checking the effectiveness of your Accounting firm marketing message or audience interaction message. The 'winning' e-mail message is then sent to the majority selected message instead of the entire list. The goal is to incrementally raise the standard and effectiveness of the e-mail message or any range such as different objectives like open rate, click through rate, or numerous different quantifiable systems.

Setting Goals
When partaking in an A/B e-mail experiment, proper organization is crucial to attaining quantitative results. Begin by creating a procedure for your objectives and decide what portion of your email you’d wish to improve upon.

Do you have below-trade average open rates?
Are your open rates enough, or are your clicks through rates non-existent or poor?

If you're getting people to your internet website with your e-mails - are those users taking successive action or initiating communication ...
... with you?

Plan of Action
When you outline your objectives you should plan ahead and create a plan of action and execution. Follow up your actions with a review process to analyze your results and track them over time. Testing using the A/B method will not likely yield significant results with a one-time test. The process will take several emails to test and refine your results.

Plan of Execution
When executing your new A/B e-mail testing method, you must take care in crafting your brand-new subject line. Complete the dual subject line selections and handpick the message you'd want to experiment with (as a percentage of the whole) and the duration you'd like to extend the A/B check to run (a few hours to a number of days). Look back at previous emails to reference the increase or decrease in overall average results

Take full advantage of Results
If improvements were revealed, continue with the new format and consider attempting additional email subject tests to help refine your best subject line format and optimize your open rates. If improved outcomes weren't accomplished with the 'B' selection, then return to the 'A' selection subject line and draft a replacement 'B' selection subject line and re-test the previous selection with subsequent emails.

Continue to Improve
This article does not encompass all aspects of A/B divided experimentation, rather it simply provides a summary of the subject and a recommendation on a means to implement split screening together with your email campaign’s subject titles. In addition, utilizing A/B split testing isn't a task you experiment with once and go back to traditional methods; it's a method of modifying and re-adjusting your e-mail message to constantly enhance your applied analytic results.

A: If you want to find out a more about A/B split e-mail testing, contact us at 317-564-5010.
B: Contact us now at 317-564-5010 to discover how A/B split e-mail testing will improve your results!

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