Practical explanation:
In simple terms, you change one small element, for example a headline or a button, and show each version to different users at the same time. By comparing the results, you can see which version people respond to better and use that insight to improve performance.
How it works:
Users are split into two groups. Each group sees a different version (A or B), and their actions are measured. To get clear results, only one element is changed at a time.
When to use it:
A/B testing is useful when you want to improve landing pages, ads, or emails, or when you are unsure which version of a message or design will perform better.
How Diligently uses A/B testing:
At Diligently, A/B testing is part of ongoing optimization work related to analytics and conversion improvement. It is used to compare different versions of ads or pages and identify which option delivers better results.
Related terms:
Conversion Rate Optimization (CRO), Analytics, Funnel