V12 Increases Consumer Database Size by 50%, for an Industry-Leading Total of 327+ Million Records

V12, a leading provider of purchase intent insight and marketing services announced that its consumer database, ConsumerPlus, increased by 50%, for a total of 327+ million records.  Additional enhancements were also added including highly predictive CPG audiences based on purchase behavior and in-market shopping audiences. The enhanced consumer dataset creates an industry-leading product to help marketers deliver highly targeted, omnichannel campaigns at scale.

Read more: How AI is The Key to CPG Growth Amidst Channel Blurring

“Consumers demand personalization and relevancy across channels in the messaging they receive from brands. In order to customize at this level, marketers must be savvy in how they use and integrate data to understand their audience on a broader and deeper scale,” said Andy Frawley, CEO of V12. “V12’s consumer database offers the breadth and depth that many other offerings in the marketplace are lacking.”

In addition to a much larger dataset, enhancements include more highly predictive CPG data. These assets are highly-predictive segments, built using self-reported, deterministic in-store shopping data, V12’s third-party data and AI and machine learning technology.

Also available are in-market shopper audiences, powered by V12’s purchase intent solution, V12 Signals. These audiences have a high propensity to purchase within the next 90 days. They are built using the predictive learning power of V12’s AI and machine learning platforms, which blends rich data assets and V12 Signals in-market data to create audiences at mass-scale. Automotive and auto aftermarket audiences are currently available with additional audiences rolling out across retail industry segments.

Read More: HubSpot Marks 10th Anniversary Of Its Partner Program With The Launch Of Solutions Partner Program

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.

AIConsumerPlusinsight and marketingmachine learningNewsomnichannelTechnologyV12
Comments (0)
Add Comment