EIX-Boosting Audience Engagement
Capture audience attention, drive results
EIX-Boosting Audience Engagement helps you connect more effectively with your audience. Powered by Hybrid AI, it streamlines content curation, turns diverse content formats into actionable insights, filters out redundant or trivial information, personalizes content and improves user satisfaction and engagement.
By aligning content with user intent and filtering out noise, EIX-Boosting Audience Engagement helps you increase audience engagement and satisfaction while ensuring the provenance of trusted and authoritative insights for transparency and traceability, all in support of your business goals and compliance requirements.
What it's for
Traditional engagement metrics rarely reflect real user satisfaction. Audiences are overwhelmed with repetitive or irrelevant content, leading to fatigue and disengagement. Short attention spans and fragmented data make it worse, while privacy and transparency requirements raise the stakes for recommendation systems.
EIX-Boosting Audience Engagement addresses these challenges with Hybrid AI and customizable knowledge graphs to process massive volumes of content, interpret specialized terminology, unify disconnected data sources, filter out redundant, outdated, or trivial (ROT) data, and deliver trusted, personalized experiences that respect privacy and compliance.
With EIX-Boosting Audience Engagement you can:
Accurately measure user satisfaction and the utility of recommendations.
Deliver personalized trusted content.
Convert unstructured data from multiple sources into structured actionable insights.
Ensure transparent auditable explanations for AI recommendations.
Drive real engagement that leads to measurable business results.
How it works
Aligning recommendations with user intent
By combining machine learning and symbolic reasoning, our Hybrid AI approach interprets nuanced user signals to ensure recommendations match their actual needs and preferences.
Pre-Built industry knowledge graphs
Built-in industry-specific knowledge (e.g. taxonomies) and customizable knowledge graphs help reduce ambiguity, interpret jargon, and reduce irrelevant suggestions, improving the accuracy and relevance of recommendations.
Auditable decision trails for every recommendation
Every recommendation comes with a transparent, traceable audit log showing how input data maps to recommendations, ensuring regulatory compliance while building user trust. Emphasizing provenance ensures insights remain explainable and verifiable.
Benefits
Increase accuracy by reducing irrelevant suggestions by 20%
Eliminate up to 30% of redundant outdated or trivial (ROT) content with context-aware targeting
Boost content engagement to grow and retain your audience
Unify insights from multiple data sources for a comprehensive view of your audience’s needs
Adopt AI that aligns with your business goals and compliance needs
AI you can explain. Outcomes you can measure.
Let expert.ai show you how to apply AI—securely, transparently and at scale.
