Qubit Unveils Machine Learning Engine To Identify Revenue Opportunities

Qubit has deployed a machine learning engine as part of its digital experience management (DXM) platform.

The engine’s “opportunity mining” feature can automatically identify and prioritize customer groups by their largest revenue opportunities, using predictive analytics and cutting-edge unsupervised machine learning methods. With these predictive capabilities, brands can now focus on the segments that warrant the most attention.

Qubit also has streamlined the deployment of high-value “programmatic experiences” based on A/B testing analysis of more than 2,000 e-Commerce experiments, to provide:


  • Abandonment recovery;

  • Social proof messaging; and

  • Product recommendations.

To support these capabilities, Qubit also addressed a critical collaboration challenge facing organizations. Through a new experience design workflow, business users can define and control the rules for many advanced digital experiences and then bring in developers to customize and activate when ready. This workflow reduces friction between departmental silos and creates a proper balance between ease of use and power, ultimately resulting in greater velocity of experience deployments.

This update follows on the successful spring 2016 release that included Qubit Live Tap, which gives companies direct and immediate access to all customer data in Qubit Visitor Cloud.

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