In today’s ultra-competitive environment, video services often lack adequate data about their service’s core audience and their usage behaviors. The lack of relevant and actionable data can cause services to operate inefficiently, target the wrong segments, lose engagement with viewers, and increase their churn rate. Data available to services for use in customer acquisition, engagement, and retention efforts is becoming more sophisticated with the advent of advanced techniques such as artificial intelligence and machine learning. These advancements are allowing services to be more proactive in their efforts to stabilize and grow their revenue and user base. This industry report addresses the latest developments and use cases in data and analytics that help video services across all aspects of their business operations.
Table of Contents
Bottom LineVendor Landscape: Competition EverywhereCustomer Satisfaction
New Era of Video Services
Types of Data
Applications for Data
Artificial Intelligence and Machine Learning
Data Collection Challenges
Implications and Recommendations
Appendix
List of Figures