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Euclid Analytics and AgilOne Create Enhanced, Single View of the Customer Journey

By   /  May 12, 2017  /  No Comments

by Angela Guess

According to a recent press release, “Euclid Analytics, the leader in retail analytics and omni-channel engagement, today announced a new integration with AgilOne, the leading enterprise customer data platform, to bring an enhanced, single view across the customer journey to retail marketers. For retailers, this integration provides the ability to build meaningful relationships with their shoppers across mediums, personalize the shopping experience, and influence their path to purchase. By integrating Euclid’s dynamic in-store profiles into AgilOne’s customer data and engagement hub, retail marketers can bridge the offline/online divide, delivering consistent, orchestrated personalization across channels.”

The release goes on, “Although online purchases remain strong, more than 90 percent of smartphone owners visit brick-and-mortar stores at least once a week, and 67 percent shop in store because they like to see, hold and try on products before buying. With an increasingly distracted, mobile-first consumer, the only way to convert shoppers across different channels is through integrated, cross-channel marketing campaigns that build unique and personalized experiences. Together, Euclid and AgilOne build authentic customer relationships that span the digital and physical journey, maximizing customer lifetime value at every touchpoint.”

It continues, “Euclid collects first-party data, with permission, through existing Wi-Fi to power customer acquisition, behavior-driven messaging and attribution efforts, helping to identify individual store shoppers and understand visit behavior. AgilOne uses predictive models to understand customer behavior and real-time APIs to orchestrate personalized engagement across all touchpoints. By leveraging these permission-based, in-store profiles, Euclid enhances AgilOne’s single customer profiles with new, high-intent audience segments complete with behavioral attributes that illuminate in-store behavior regardless of purchase. When these insights are used to build lookalike audiences for social media advertising, for example, retail marketers can effectively expand their reach, acquire new customers, and increase return on ad spend.”

Read more at Marketwired.

Photo credit: Euclid Analytics

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