Predictive Personalization

An innovative personalization platform that incorporates live, streaming data with dynamic personalization to ensure accurate, predictive outcomes that surpass consumers' high expectations.

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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.

Schedule proactively

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.

Resources

Datasheet

Company Overview

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Reimagining Customer Engagement with Differentiated Personalized Experiences

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From Many to One

ZineOne Intelligent Customer Engagement (ICE) platform

Despite the hundreds of millions of dollars spent on advertising, search, and promotions to drive traffic to your digital sites, the average conversion rate range from 2% to 4%. To convert more traffic, you need to deliver relevant, engaging, 1:1 ‘in-the-moment’ experiences. AI-based predictions can provide highly relevant and accurate recommendations that can influence purchases and increase loyalty across all of your channels on a single platform.

Use Cases

Financial Services

Retail

Quick Service Restaurants

Capabilities