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mParticle acquires AI startup Vidora to help teams augment customer profiles and improve their marketing stacks

The combined offering improves the value of customer engagement and analytics tools with predictive and prescriptive AI modeling capabilities. NEW YORK, Aug. 3, 2022 /PRNewswire/ mParticle, a leader in customer data infrastructure, announced today that it has acquired Vidora, an AI personalization platform for customer data. With the acquisition, teams can now easily create and deploy models across mParticle's partner ecosystem of 300+ API integrations to improve decisioning, segmentation, and personalization. The benefits of the combined offering include: Enhanced utilization of marketing and analytics tools. The power of AI means teams are able to get more value from their existing systems - making them smarter and improving customer engagement holistically. Improved conversion and ROI at scale.Teams can easily build and deploy user scores for next-best-action and next-best-offer across their digital properties and marketing channels to maximize conversions and ROI. Predictive ....

New York , United States , Alex Holub , Michael Katz , Restaurant Brands International , New York City , The Combined Offering Improves Value Of Customer Engagement And Analytics Tools With Predictive Prescriptive Ai Modeling Capabilities New York , Ug 3 , 022 Prnewswire Mparticle , A Leader In Customer Data Infrastructure , Nnounced Today That It Has Acquired Vidora , N Ai Personalization Platform For Customer Data With The Acquisition , Eams Can Now Easily Create And Deploy Models Across Mparticle 39s Partner Ecosystem Of 300 Api Integrations To Improve Decisioning , Nd Personalization The Benefits Of Combined Offering Include Enhanced Utilization Marketing And Analytics Tools Power Ai Means Teams Are Able To Get More Value From Their Existing Systems Making Them Smarter Improving Customer Engagement Holistically Improved Conversion Roi At Scale Can Easily Build Deploy User Scores For Next Best Action Offer Across Digital Properties Channels Maximize Conversions Predictive Audience Segmentation Create Lookalike Audiences , Utomate Goal Seeking Audiences , Nd Deploy Predictive Uplift Models To Increase Engagement And Roi , T Scale This Is Mparticle 39s Second Acquisition In The Last Seven Months , Nd With It , Arketers Are Able To Create The Most Relevant , Ersonalized Experiences Across Any Channel , Ithout Needing Data Engineering Expertise Teams Are Able To Enhance Customer Context With Ai , Reating Rich Attributes Around Predicted Spend , Churn Risk , Next Best Action , Ost Likely Next Purchase , Nd More These Attributes Are Made Available And Actionable In Real Time To Any Of The 300 Partners Mparticle Ecosystem Quot Teams Need Do With Less We Believe That Begins By Doing Better Data ,