Research: 30% of US internet homes are OTT hoppers
November 21, 2022
Consumer research from Parks Associates finds that 83 per cent of US internet households now subscribe to at least one OTT service, while 45 per cent still subscribe to the traditional linear pay-TV service model.
Parks Associates’ whitepaper, Engaging Next-Gen Video Viewers: Leveraging AI and ML, developed in partnership with FPT Software, addresses the increased use of video services, content preferences, discovery challenges, and the role of bundles.
“The most successful video services going forward will be dominated by innovative technologies, including AI and ML, that drive sustained high levels of engagement with consumers through advanced content moderation and curation,” commented Sarah Lee, Research Analyst, Parks Associates.
AI and ML can create a personal experience by leveraging data to understand patterns and relationships at a very granular level, beyond recommendations that ‘standard’ big-data-based systems.
“There is a vast range of AI and ML use cases in media and entertainment – companies are only starting to scratch the surface. These can range from generating richer metadata that can be used to drive experiences to reducing time required for content preparation to driving deeper advertising engagement,” said Ira Dworkin, Managing Director of Communications, Media and Entertainment, FPT Software. “Leveraging and extending the data that already exists for many M&E companies to build bespoke AI/ML models can help to drive new insights, ultimately reducing churn and improving subscriber loyalty.”
Parks Associates research finds that 30 per cent of US internet households are ‘service hoppers’ or streaming video subscribers who frequently switch services and re-subscribe multiple times. Businesses that harness AI can develop more effective and efficient strategies to keep these viewers from hopping.
“By understanding the viewer on a deeper, personal level, businesses can deliver a more positive, individualised experience that drives acquisition, satisfaction, and retention,” Lee said. “AI and ML models can provide this understanding and identify factors that result in higher customer acquisition and long-term subscriptions.”