Yesterday’s personalization tools cannot keep up with the high expectations consumers have today. The answer lies in a personalization platform that can incorporate live, streaming data, combined with stored and third-party data, powered by highly-accurate machine learning models that allow today’s marketers to dynamically adust how they engage with visitors on-the-fly. Expect this and much more from your personalization platform.
Triggered Personalized Experiences
Timely messages and relevant & engaging interactions can convert a visitor into a customer and keep a customer loyal.
Today’s marketers need more than segments based on pre-defined rules, they need the ability to define segments based on triggers or events (in-session behavior) such as the sequence of pages visited, the amount of active time spent viewing a certain category of products or a user’s location at that moment, compared to their usual, known location at that time of day. These triggers or events enable you to maximize a visitor’s experience in a highly contextual manner resulting in great user experience, one that is rewarded by their loyalty.
Target Users Dynamically
Targeting users effectively involves taking that visitor’s activity into account and applying context to an interaction. Effective context means you must incorporate the time of day, the weather, the location, and compare it to what’s normal or usual for that visitor when making a recommendation. ZineOne’s deep learning and machine learning models incorporate dozens of different variables, form insights, and recommend the best action that is most likely to get the user to respond.
On the right is an example of some of the information we capture to provide personalized experiences.
TheZineOne platform provides an endless array of options to engage your visitors. You can define a segment based on demographic and behavioral characteristics and pre-enroll users or let the machine learning models enroll visitors into new or existing segments based on their behavior. You also have the flexibility of defining the rules for when a segment is full and should stop enrolling new members so you are always in control of your promotion budget.
Mapping the Consumer Genome
Nikhil Chandurkar, Formerly of Kohl’s: Automating Retention Strategies in a World of Machine Learning
*Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences, and do not represent the views of Gartner or its affiliates.