24i launches 24iQ personalisation and recommendations service
End-to-end video streaming company 24i has launched an advanced new personalisation and content recommendations service, 24iQ.
This managed service is the result of the rapid integration of 24i’s existing data team with the technologies and data science expertise of UK-based company The Filter, which was acquired by 24i in April 2022. The 24iQ service is based on the same capabilities that have enabled some of The Filter’s customers to increase engagement by as much as 300%.
“Content discovery is one of the biggest challenges faced by any streaming service today. Whatever your business model, increased engagement is essential to customer retention and revenue growth. With 24iQ, we’re using the most advanced tools data science has to offer to solve this challenge to deliver a step-change in streaming personalisation. We’re excited to help more OTT and pay-TV companies benefit from the improvements our customers have already seen in both the volume and range of content viewed when these techniques are deployed,” said 24i CEO Dr Neale Foster.
Through metadata enhancements, advanced algorithms and scalable APIs, 24iQ provides high-quality content suggestions based on the previous viewing behaviour of each individual consumer. This enables streaming services to populate user-specific sections such as ‘recommended for you’, ‘more like this’, and ‘trending’ as well as auto-play functions shown when a programme ends.
By taking users’ tastes into account when displaying results, 24iQ enables personalised recommendations for content that’s about to start in live streamed TV channels.
User-focused content recommendations can be extended into push notifications and email marketing campaigns to drive return visits to a streaming service.
24iQ is available to both OTT and pay-TV service providers and can be used with any streaming backend, content management system or application. It is based on techniques including collaborative filtering, neural networks, user clustering, natural language processing and model blending.