A/B Testing
A/B Testing
The A/B Testing is commonly used in statistics, particularly in the A/B formula. It’s a method of comparing two versions (A and B) of a webpage, email, or other marketing asset to determine which one performs better.
Example
Here’s a simple formula to calculate the conversion rate in an A/B test:
Conversion Rate = (Conversions / Total Visitors) * 100%
Where:
-
Conversions are the number of people who completed the desired action (like clicking a button, making a purchase, etc.)
-
Total Visitors are the total number of people who visited the page or received the email.
Remember, the goal of A/B testing is to make data-driven decisions to improve your designs or strategies. It’s a powerful tool in the world of digital marketing and design.
