The A/B Testing section generates a summary of the results of rules marked as A/B testing rules.
A/B testing is a method of comparing the effectiveness of two or more merchandising or content spotlighting alternatives. Individual rules are presented to subsets of end-users, and the A/B Testing reports allows business users to compare the results.
The report section allows you to answer questions like, “How does the merchandising performed by the rules in set A compare to the merchandising performed by the rules in set B?” or “Which of these competing rules has the best conversion rate?”
