Intelligent analytics

Measure customer engagement and improve customer lifetime value using AI and machine learning to model, predict, and recommend the optimal experience and derive the next, best customer experience.

Performance reports

Evaluate engagement using several out-of-the-box widgets that include audience, campaign, and segment analyses.


Use advanced analytics to investigate and understand exactly why things happened the way they did.

Recency, frequency, and monetary (RFM) value analysis

Determine which are your most valuable customers by understanding recency and frequency of purchase along with how much they spend.

Activitate insights from campaigns

Instantly compare campaign results through an interactive user interface. Optimize your campaigns by increasing the scale of high-performing attributes and changing strategies for lower performers.

Intelligence workbench

Create, analyze, and optimize data science models to achieve the benefits of machine learning and artificial intelligence.

Ready-to-use data science models

Use prebuilt data science models to gain new insights to identify new opportunities and optimize campaigns or audiences.

Unify insights for activation

Map machine learning outcomes to your data model, segmentation, campaigns, analytics, and more.

Explore data-science–driven use cases

Target top performing channels, optimize communication with customers, and enhance personalized messages with relevant recommendations.

Oracle Content Management for CX

Customer Experience is a key differentiator.

Focus on prioritising your immediate quick wins, while establishing a plan on how to deliver against strategic objectives.

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