RevTrax, an offer management platform for e-Commerce sites, has added machine learning and AI capabilities to its offering to improve speed and efficiency. The updated software lets the tool replay events, determine causality and measure results based on a criteria set by the retailer.
RevTrax can use these techniques to rerun traffic through modeled scenarios and find optimal outcomes, as well as adjust the flow of traffic for segments of users in real time to maximize sales. The platform derives its insights from more than 11 years of anonymous consumer offer-behavior, taking past activity and results and applying different sets of offer-values to see how shoppers will react.
Retailers can use this information to optimize their discounting effort by detecting promotions that over-discount or fail to properly increase sales. This can work alongside the overall RevTrax platform, which includes features that are designed to help retailers:
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- Personalize and track offers to drive customer acquisition;
- Better understand the path-to-purchase; and
- Offer single-use links, customizable print limits and individualized barcodes to prevent fraud.
RevTrax, an offer management platform for e-Commerce sites, has added machine learning and AI capabilities to its offering to improve speed and efficiency. The updated software lets the tool replay events, determine causality and measure results based on a criteria set by the retailer.
