Predictive Analysis Netflix

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Introduction
Predictive analysis is a practice wherein analysis of historical data of customer is done in order to accurately predict his probable preferences in the future. Amongst its umpteen applications, the one pertaining to emails is that it allows individuals to personalize emails based on previous engagement and browsing behavior including google searches and AdWords. It also allows predictions about the product and the brand preferences, the likelihood to buy and their lifetime value.
Today, in this digital age, various interactions of humans with others and their entertainment, shopping and other day to day activities involve a significant amount of involvement of digital media, services and devices.
The primary benefits of predictive analysis for marketers is that it provides a targeted customer base to
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Netflix is a data driven company. It chooses the new content using predictive analysis and pick movies and television accordingly. It helps them gain insights into customers and help serve customers better. Catering to 98.75 million customers allows Netflix to obtain magnificent data and they use this data to understand engagement at a deep level. Using predictive analysis, Netflix uses the information regarding its users and this large user base allows Netflix to see trends and formulate opinions quickly. Netflix asks new users to rate their interest in movie genres and rate any movies they’ve already seen. Why do they do this right up front? Because helping users discover new movies and TV shows they’ll enjoy is integral to Netflix’s success.
It is because they have a direct relationship with consumers, they know what people like to watch and that is what helps them understand how big the interest is going to be for a given show.

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