This adaptive content engine utilizes generative AI and proprietary large language models to allow advertisers to automatically customize messages.
As the holiday season approaches, the fashion industry is actively seeking new innovative tools to help enhance the customer experience and create more personalized shopping interactions, a demand that consumers are increasingly asking for.
In fact, research by consulting firm McKinsey & Company shows that 71 percent of consumers expect personalized interactions from companies, and 76 percent become frustrated when that expectation is not met.launched ACE, a new AI-powered tool.
ACE will leverage an advertiser’s first-party data, including demographic information, payment preferences and shopping history, to tailor messages for each segment.This approach not only empowers advertising and marketing teams to maintain full control over their campaigns — enabling them to approve, modify or reject each message variant before distribution — but also helps maximize their return on ad spend.
“Marketers need tools that free them from having to manually revise every message hundreds of times to appeal to different customer segments, but still keep them in full control of their content,” said Noel Curtis, senior vice president of engineering at. “ACE is designed to augment the power of human creativity by making it effortless to generate multiple ad variants, each customized based on first-party data and intelligence gleaned from the more than 4.
“It’s fully scaled to macys.com but we continue to iterate and make changes to improve the performance of the ad placement,” Michael Krans, vice president of Macy’s Media Network,, adding that Macy’s originally started testing its partnership with Rokt last fall, and with a phased approach to testing and integration, slowly ramped up exposure to additional portions of Macy’s traffic online.
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