CDD

Big Data Turns Your TV into Powerful Digital Spy

Targeted TV ad company Simulmedia is partnering with Oracle Data Cloud, a data service company, to target advertisements to consumers based on their in-store purchases.

Data-driven advertising is picking up in the linear TV world as cable companies look to cash in on the big data trends that digital platforms base their decisions on already. The data that Oracle Data Cloud is providing via Simulmedia is worth more than $3 trillion in household-level purchase data, according to the announcement (link is external). Simulmedia’s “VAMOS” platform creates data-driven audiences, predicts viewership of the audiences, builds optimized performance-based media plans and reports on media delivery and outcomes.

“Bringing Oracle Data Cloud’s purchase-based audiences to national television is a defining moment in the transformation of TV to a data-driven, audience targeted business,” said Dave Morgan, founder and CEO of Simulmedia, in a statement. “By using Simulmedia’s VAMOS platform to precision target Oracle audiences on national TV, brands can align their audience strategies across TV and digital and improve the overall ROI of their advertising spend.”

Joe Kyriakoza, vice president-general manager for automotive and TV for Oracle Data Cloud, told MediaPost (link is external)Thursday that this is the first announced partnership in the TV space—though for years the company has already been targeting ads this way in digital.

Simulmedia claimed that advertisers will receive an average of between 30% and 100% higher ROI for every campaign. Oracle Data Cloud’s audience numbers quantifying offline transactions are aggregated through data from Oracle’s relationship with Visa Advertising Solutions and DLX Auto audiences, powered by Polk from IHS Markit. Marketers will also be able to deliver ad campaigns to syndicated and custom audience segments from Oracle’s BlueKai Marketplace, as well as onboard their custom CRM and other first-party data.

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For the full article, visit http://bit.ly/2xCxIlD (link is external)