Adobe Analytics Enhanced with Predictive Marketing Capabilities

Digital Marketers Can Now Quickly Discover High-Value Audiences and Target Those Predicted Most Likely to Convert

SALT LAKE CITY–(BUSINESS WIRE)– Adobe Summit, The Digital Marketing Conference — Adobe Systems Incorporated (NAS: 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 …read more
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