AvailabilityThe new predictive marketing workflow is expected to be available in Adobe Analytics Premium in May. About Adobe Marketing Cloud Now there’s a place that puts everything digital marketers need in one spot. It’s called Adobe Marketing Cloud. It includes a complete set of analytics, social, advertising, targeting and Web experience management solutions and a social-enabled UI that brings together everything marketers need to know about their campaigns. So marketers can get from data to insights to action, faster and smarter than ever. Visit www.marketing.adobe.com to learn more. About Adobe Systems Incorporated Adobe is changing the world through digital experiences. For more information, visit www.adobe.com. © 2013 Adobe Systems Incorporated. All rights reserved. Adobe and the Adobe logo are either registered trademarks or trademarks of Adobe Systems Incorporated in the United States and/or other countries. All other trademarks are the property of their respective owners.
Adobe Summit, The Digital Marketing Conference — Adobe Systems Incorporated (Nasdaq:ADBE) today announced a new predictive marketing workflow in Adobe® Analytics, which lets marketers quickly identify and target high value audiences in minutes. Adobe Analytics is a key element of the Adobe Marketing Cloud. Traditionally marketers have relied on a cumbersome and time-consuming process that requires crunching large quantities of data over weeks or months to help them identify high-value audiences. The complexity and expense of this approach has led some marketers to bypass the use of data analysis altogether and end up defining audiences based on opinions or assumptions. The new predictive marketing workflow in Adobe Analytics is designed to help marketers and marketing analysts sort through terabytes of data quickly to uncover valuable audiences. In a matter of minutes, the marketer can identify audiences based on shared characteristics and predictively score them according to how likely they are to convert. This allows marketers to then use Adobe Target to create tailored offers best suited to each distinct audience. “The ability to quickly and consistently unearth critical audience data hidden in multichannel data is essential to marketing,” said Brad Rencher, senior vice president and general manager, Digital Marketing Business, Adobe. “We are saving digital marketers both dollars and time, cutting out weeks or even months of laborious data mining to find the right audiences to target, at the right time and on the right device.” Predictive Marketing Workflow in Action The new workflow can help marketers answer critical business questions. For example, the CMO of a car rental company would like to maximize revenue from car rentals in Florida during the winter holiday season. To accomplish this, she needs to know which potential audiences would be most likely to respond to a holiday car rental campaign for Florida. She then leverages Adobe Analytics to analyze terabytes of multichannel data to uncover previously unidentified, high-value audiences, perhaps families of five or more and retired couples from the Midwest, among others. These audiences are ranked by their likelihood of converting, which in this case is defined as the customer actually picking up the car they reserve. Each distinct audience is then seamlessly fed into Adobe Target, another of Adobe’s Marketing Cloud solutions, to receive tailored offers that match their unique interests. For instance, a six-person family would be offered a minivan or SUV and snow birds from Michigan, a sedan. This workflow can be completed in minutes, and gives marketers the kind of agility they need in a world that moves increasingly at the speed of digital. “Adobe’s new predictive marketing workflow represents a significant step forward for the digital analytics community as a whole. It will provide an integrated one-stop solution for all our statistical modeling needs. This is what the community has been waiting for, as it replaces cumbersome and time-consuming processes where we had to import data into other statistical platforms,” said Ashish Braganza, senior manager, Global Business Intelligence, Lenovo. “I’m excited because finally, we can build predictive models and push them live to target customers in real-time and then test their efficacy.”