A/B Test Feature

A/B testing is a powerful tool for evaluating pricing strategy performance. It allows users to assess different pricing strategies by assigning subsets of products to each strategy and tracking their performance over time.

An A/B test consists of two or more sub-groups representing the evaluated strategies. Users have the option to assign products to each sub-group randomly or manually. In random assignment mode, a filter and percentage allocation are defined, and products meeting the filter criteria are assigned to sub-groups based on the specified percentages. Users can create multiple sub-groups and manually assign products to each in manual mode.

Once an A/B test is defined, it can be activated by clicking the start button and stopping using the stop button. During an active test, the assigned pricing strategies precede predefined pricing groups. Products associated with an active A/B test will be priced based on the sub-group and pricing group's strategies.

Upon stopping the test, products will revert to being priced using the relevant pricing group strategy. A product can only be associated with one A/B test at a time. To assign a product to a different A/B test, it must be disassociated from the current test by either stopping the relevant test in filter-based tests or removing the product from the current test's list in item-based tests.

 

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https://docs.quicklizard.com/hc/en-150/articles/9518291008796-A-B-Testing-using-a-pricing-strategy