Zeotap, the leading Customer Data Platform, has today announced the launch of Predictive Audiences as part of its award-winning Customer Intelligence Platform (CIP). Designed to help marketing users increase the impact of their campaigns, it enables the creation and application of machine-learned predictive segments in just a few clicks.
Predictive Audiences has been designed to solve some of the core problems faced by marketers looking for better return on investment from their efforts. While marketers have long known that traditional rule-based segmentation can lead to inefficiencies and wasted spend, the ability to generate machine-learned audiences has long required support from Data Science specialists. This support has been difficult to access for many marketers, and impossible for others.
Predictive Audiences changes all this by reducing the process of creating and activating machine learned segments into three easy steps:
“We’ve seen the story time and time again: marketers want to use customer data in order to drive more impactful campaigns, but they get stuck when they need Data Science support. Predictive Audiences is designed to solve this problem,” said Daniel Heer, founder and chief executive officer of Zeotap. “By putting the power of machine learning into the hands of the marketer, Predictive Audiences makes it easy to quickly boost the success of marketing efforts with just a few clicks - a game-changer for the data-driven team.”
More out-of-the-box models and the ability to apply custom models to Predictive Audiences will follow later this year in Customer Intelligence Platform, which was recently named a Leader in G2 Crowd’s Spring 2021 Grid Report for Customer Data Platform Software.
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