Netflix uses which type of analytics to suggest movies and develop new content?

Netflix primarily uses predictive analytics to suggest movies and develop new content. Predictive analytics involves analyzing historical data and user behavior to forecast future trends and preferences. By examining viewing patterns, ratings, and user interactions, Netflix can identify what genres, themes, or specific titles are likely to resonate with individual users or broader audiences. This capability allows them to tailor their recommendations effectively and also guides their decisions in creating original content that aligns with anticipated viewer interests.

In contrast, descriptive analytics focuses on interpreting historical data to understand what has happened in the past without predicting future trends. Prescriptive analytics goes a step further by not only predicting outcomes but also providing recommendations for actions based on the predicted data. Diagnostic analytics, meanwhile, seeks to determine the causes of past behavior or outcomes rather than forecasting future ones. Therefore, predictive analytics is the best fit for Netflix's approach to enhancing user engagement and content strategy.