about Usecase
Wellbeing apps often offer large libraries of meditation, mindfulness, and audio content. When recommendations are generic, users can struggle to find content that matches their needs, goals, or current state, leading to lower engagement and higher drop-off.
This use case enables personalised content discovery by tailoring recommendations based on existing descriptions, transcripts, and content metadata. User behaviour and preferences are used to surface relevant sessions that feel timely and meaningful.
By making content easier to discover and more relevant, wellbeing platforms can improve engagement, encourage regular use, and strengthen long-term relationships with users.
Key Features
- Personalise content recommendations based on user behaviour and preferences
- Use content descriptions, transcripts, and metadata to improve relevance
- Help users discover sessions aligned with mood, goals, or interests
- Reduce friction in browsing large content libraries
- Increase repeat engagement and session completion
- Support a more tailored and supportive user experience
