A/B testing, also known as split testing, has been a popular marketing tactic that involves quite an amount of manual efforts. The tactic was previously reserved only for Facebook paid ad campaigns. Nowadays, companies can easily experiment with different target audience as well as ad content to determine which format or post will deliver the best possible results.
A/B testing, or split testing, allows businesses and marketers to test two different pieces of contect with two separate groups of audiences, i.e. the control group and the test group. By analyzing and comparing the results, the tactic could be ideal for optimizing ad strategies.
Below is a summary of some best practice tips discussed in the below articles.
- Test one factor at a time: This will lead to more conclusive test results.
- Measure the impact: Keep a record of ads, variables and results.
- Significance check: Check your test results for statistical significance; 50 in general will be a big enough data set to draw a significant conclusion. (50 likes, 50 clicks, etc.)
- Test everything: Test as many different factors as you can.
For more information, please check out the below links.
https://www.practicalecommerce.com/creating-free-ab-tests-google-optimize
http://customerthink.com/5-ways-ab-testing-improves-mobile-app-download-and-revenue/
https://www.thedrum.com/opinion/2018/06/18/five-best-practice-tips-when-it-comes-ab-testing
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