PHILADELPHIA – Monetate, a leading technology solution provider that allows online marketers to leverage big data to create personalized online customer experiences, announced that LivePredict, it’s customer segment discovery tool, will be available in the summer of 2013. LivePredict automates the customer segment discovery process, surfacing valuable customer segments and eliminating the need for marketers to sift through disparate data sets to look for the segments they want to target.
LivePredict will allow online marketers to:
– Uncover groups that respond most positively to specific campaigns or promotions
– Identify valuable customer segments in a brand’s visitors and purchasers, and
– Take immediate action to market to those segments specifically, creating unique experiences targeted to them in real-time.
“LivePredict is really the first product that tells online marketers what they need to do and who they need to do it for,” said Bruce Ernst, vice president of product management at Monetate “Until now, online marketers who wanted to target specific customer groups with personalized content or offers had to predefine the segment based on a hunch or a time-consuming deep dive of data. LivePredict takes the guesswork out of targeting by autosurfacing customer groups that have similar needs, reactions or behaviors, allowing brands to target those groups with the most relevant experiences.”
LivePredict is in pre-release and will be generally availability this summer.
About the Monetate Agility Summit
The third annual Agility Summit (#agilitysummit) is taking place this week at The Westin in Philadelphia. Conference attendees include online marketing professionals from over 100 leading retail, hospitality, travel and financial services brands, who are responsible for developing digital customer experience strategies. The summit provides attendees the opportunity to hear from top marketers on how to unlock industry best practices for generating revenue lift, lowering customer acquisition costs and creating higher customer lifetime value through the use of optimized personal experiences
