Resonate Launches rAI for Consumer Data at Scale

In the US, consumer data and intelligence specialist Resonate has launched an AI modeling infrastructure called rAI, transforming massive amounts of raw data into continuously updated attributes allowing users to understand some 230 million consumers.

rAI (pronounced 'Ray') includes predictive models, tuned to dynamically generate scaled consumer data; as well as a multi-sourced identity graph to align Resonate data to consumers and their related devices. The solution consumes three types of data: real-time consumer behavioral data, including more than 30 billion daily deterministic, consumer observations; off-line consumer data for an understanding of consumer and household demographics; and Resonate's proprietary data combined with respondents' online behavior.

rAI produces the Resonate Elements data set, more than 14,000 attributes for 230 million consumer profiles, which the firm says shows US consumers as they are, complete with the psychographics, intent, preferences, behavior, media consumption and demographics required for marketers to engage, convert and retain them as customers.

CEO Bryan Gernert (pictured) comments: 'Our data science and engineering teams have devoted more than a decade to perfecting rAI's modeling capabilities, ensuring a level of precision unparalleled in the industry. Gone are the days when brands and agencies had to settle for outdated, cookie-cutter third-party data from our competitors. rAI delivers data that is rich, relevant and privacy-safe, including the epitome of consumer-decision criteria combined with consumer intent'.

Web site: www.resonate.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.