SUNNYVALE, CA — (Marketwired) — 10/27/15 — , the predictive marketing cloud company, today announced a series of industry-leading features that deliver a forward-looking, omni-channel customer view, empowering retailers to bridge the divide between buyers– online and offline brand experiences. The next generation AgilOne predictive marketing cloud now includes individual customer–s Predicted Lifetime Value, which shows both past and estimated future value of any customer across all channels. AgilOne also unveiled its distance-to-store feature, which shows the distance between customers and nearby or preferred stores and other specific locations, and its householding feature, which allows marketers to group buyers in the same household. AgilOne continues to advance the cutting edge of predictive marketing with these industry-first analytics capabilities that power personalized and profitable engagement across all channels.
AgilOne–s Predicted Lifetime Value is the first out-of-the box, omni-channel solution that enables retail marketers to see how much a customer is likely to spend with their business in the future, based on previous online and offline engagement and purchases. The new householding feature automatically groups buyers that belong to the same household, giving retailers an important new layer of context to understand and react to customer behavior. Finally, the next generation AgilOne cloud now allows marketers to segment and engage with customers based on their distance to nearby and preferred stores as well as other locations.
“Our new capabilities give retailers an opportunity to lead in this new era of predictive marketing and bridge the divide between digital and physical-world brand experiences,” said AgilOne CEO Omer Artun. “The ability to predict customer behavior across all channels will transform the way retailers engage and build relationships with their customers.”
Predicted Lifetime Value
The AgilOne predictive marketing cloud now includes the industry–s first out-of-the-box, omni-channel Predicted Lifetime Value capability, delivering a pre-built model that determines both past and estimated future value of any customer across all channels. In contrast to other lifetime value metrics that require lengthy customization and configuration, or those that build prediction models based on only one shopping channel rather than omni-channel data, AgilOne predicts holistic lifetime value based on the shopping behaviors of existing customers who share the same attributes and online and offline behaviors as newer customers without a long purchase history.
Many marketing offerings have tried to calculate a customer–s lifetime value, but the models to date have been simplistic estimates based on past purchase history. These models never really reached their full potential because they lacked the ability to provide precise predictions based on machine-learning models that leverage big data. With its new Predicted Lifetime Value functionality, AgilOne has fast-forwarded the industry, and helped the concept of lifetime value reach its full potential. Now marketers can seamlessly analyze and target the shoppers that will be their most valuable customers tomorrow, rather than just those who look like the most valuable customers today.
By combining Predicted Lifetime Value, with the other predictive analytics from AgilOne, marketers can immediately determine the right offer to the right group of customers to maximize potential spend. For example, retailers can send promotions to customers with low predicted likelihood to buy but high Predicted Lifetime Value or cross-sell and up-sell to customers with a high likelihood to buy but low lifetime value.
Householding
The ability to segment and target customers by household gives marketers crucial context around purchase patterns that paves the way for better customer experiences and a holistic view of shoppers– behavior. With the new capability, retailers can recognize VIP customers based on their total household spend. Retailers can also account for family members– influence on each others– buying behavior with consistent messaging for all members of the household. The householding feature permeates through every level of the AgilOne cloud, so that marketers can view any model through the lens of household rather than individual behaviors.
Distance-to-Store
AgilOne–s new distance-to-store feature delivers greater customer visibility and targeting capabilities by integrating data on customers– home address in comparison to nearby or preferred stores and other specific locations. With access to this info, marketers can identify the customers based on their distance to a store or a location, and then engage with them via any channel. They can also personalize this omni-channel engagement by including information about nearby stores or promotional events. Retailers also get a better understanding of where to open new store locations or hold events by viewing valuable customer segments that don–t live close to a store.
“AgilOne–s new functionalities gave us the power to deliver highly personal customer experiences unlike anything we have found available in the industry,” said David Mahoney, marketing director at Peter Glenn, the national outdoor sports retailer, which used a beta version of the new features. “With householding and distance-to-store functionality, we are able to include nearby store info in email campaigns and customize our Facebook campaigns, direct mail messages and event invites based on each customer–s location.”
Predicted Lifetime Value, householding and distance-to-store analytics are now available to all AgilOne customers out-of-the-box through its predictive marketing cloud. To learn more about these transformative capabilities or sign up for AgilOne, please contact .
AgilOne is the industry–s first predictive marketing cloud that allows marketers to deliver the most relevant and profitable customer relationships, online and offline, and simplifies the science of marketing with an easy-to-use, integrated solution. Leveraging breakthrough predictive analytics and machine learning technology, AgilOne empowers companies of all sizes to launch revenue-generating lifecycle marketing programs, including predictive cart recovery, cluster-based purchasing and loyalty appreciation, among others. With AgilOne, companies can convert more browsers to buyers and increase overall lifetime customer value.
Leading consumer brands, including The Body Shop, Shazam, Sports Authority, Moosejaw and shopPBS.org, use AgilOne to boost customer engagement and revenue. Headquartered in Silicon Valley, AgilOne investors include Sequoia Capital, the Mayfield Fund, and Tenaya Capital. For more information, please visit .
Rebecca Mettler
BOCA Communications
+1.914.215.0113
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