Which data analytics metric directly reflects the effectiveness of product listing A/B testing on Temu?

Conversion rate is the data analytics metric that most directly reflects the effectiveness of product listing A/B testing. A/B testing involves creating two versions of a product listing (A and B) with slight variations, such as different titles, images, or descriptions, and then tracking which version performs better. Conversion rate, which is the percentage of visitors who make a purchase after viewing the listing, directly indicates which listing variation is more effective at converting visitors into customers. For example, if listing A has a conversion rate of 2% and listing B has a conversion rate of 4%, listing B is demonstrably more effective. While other metrics like click-through rate (CTR) and bounce rate are also valuable, conversion rate directly ties listing changes to revenue generation, making it the ultimate measure of A/B testing success.