Open Access Oxford
Using AI to analyse user behaviour patterns and improve content discovery across Oxford's open access platforms.
The challenge
Open Access Oxford needed to better understand user behavior and improve content discoverability across their digital resources. They had vast amounts of academic content but lacked insights into how users were finding and interacting with it.
Our solution
We deployed AI-powered analytics tools to analyze user interactions and provide actionable insights for content strategy. This included behavior pattern analysis, content recommendation algorithms, and search optimization.
Results & impact
The implementation delivered measurable improvements across all key performance indicators.
Enhanced Content Discovery
AI-powered search and recommendation features for better resource finding
Data-Driven Insights
Comprehensive user behavior analysis and actionable recommendations
Improved User Experience
Streamlined navigation and personalized content recommendations
Effective Content Organization
Optimized content structure based on user interaction patterns
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