Reduce churn, improve customer experience, and streamline operations
In the highly competitive OTT environment, consumers can easily hop from one service to another. This white paper investigates the drivers and use cases for artificial intelligence (AI) and machine learning (ML)-enabled data and explores strategies to implement these solutions. Identify best practices and real-world examples, and learn how to deliver highly targeted and engaging services by analyzing large data sets.
Featuring the latest OTT consumer research from Parks Associates, this white paper covers:
- Trends in subscriber behavior, cancellation, and service stacking
- 6 types of data you can analyze with AI and machine learning
- Audience acquisition, retention, and churn reduction strategies
- How to optimize your content portfolio with AI data analysis
- Best practices for managing complex “big data” sets
