more than 100 million subscribers around the world who generate an extraordinary amount of data to analyze, Netflix has access to many insights about its viewers that help drive its success. It’s not just the amount of data they have available that give the company a competitive edge and to make their viewers happy with the user experience, it’s Netflix’s commitment to data and tools to analyze the data that help them extract meaning from it that makes it powerful. When the company was just a DVD-mailing business, they had just four data points to analyze that included customer ID, movie ID, rating and the date the movie was watched. Once they transitioned to a streaming service, a lot more data was available to review.
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Netflix knows what we like
Netflix’s ability to gather valuable insights from the data it collects is vital to its success. The faster the platform is able to recommend to its viewers what they should watch, the better the user experience. The company’s analysis has found that a typical Netflix customer will lose interest in 60 to 90 seconds when choosing something to watch. In that time, they view 10 to 20 titles. Interestingly, 80% of the content we watch on Netflix is influenced by the company’s recommendation system. This was such an important element to the company it launched a competition in 2006 with a cash prize of $1 million to the group that could create the best algorithm to predict how a customer would rate a movie based on how they rated previous movies.
Netflix even has a list of films that the data shows are so scary that users won’t finish them. They determined that if a viewer watched at least 70% of the movie—a data point that the streaming service is able to calculate—but then turned it off, it was because it was too horrifying to watch. But couldn’t they also turn off the movie just because they didn’t care for it at all? According to Netflix, if people truly dislike a movie, they would turn it off well before they get to the 70% threshold.
According to their list, here are the top 10 movies that are too scary to finish:
Cabin Fever (2016)
Carnage Park (2016)
México Bárbaro (2014)
Piranha (2010)
Raw (2016)
Teeth (2007)
The Conjuring (2013)
The Human Centipede 2: Full Sequence (2011)
The Void (2016)
Jeruzalem (2015)
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With more than 100 million subscribers around the world who generate an extraordinary amount of data to analyze, Netflix has access to many insights about its viewers that help drive its success. It’s not just the amount of data they have available that give the company a competitive edge and to make their viewers happy with the user experience, it’s Netflix’s commitment to data and tools to analyze the data that help them extract meaning from it that makes it powerful. When the company was just a DVD-mailing business, they had just four data points to analyze that included customer ID, movie ID, rating and the date the movie was watched. Once they transitioned to a streaming service, a lot more data was available to review.
Adobe Stock
Netflix knows what we like
Netflix’s ability to gather valuable insights from the data it collects is vital to its success. The faster the platform is able to recommend to its viewers what they should watch, the better the user experience. The company’s analysis has found that a typical Netflix customer will lose interest in 60 to 90 seconds when choosing something to watch. In that time, they view 10 to 20 titles. Interestingly, 80% of the content we watch on Netflix is influenced by the company’s recommendation system. This was such an important element to the company it launched a competition in 2006 with a cash prize of $1 million to the group that could create the best algorithm to predict how a customer would rate a movie based on how they rated previous movies.
Netflix even has a list of films that the data shows are so scary that users won’t finish them. They determined that if a viewer watched at least 70% of the movie—a data point that the streaming service is able to calculate—but then turned it off, it was because it was too horrifying to watch. But couldn’t they also turn off the movie just because they didn’t care for it at all? According to Netflix, if people truly dislike a movie, they would turn it off well before they get to the 70% threshold.
According to their list, here are the top 10 movies that are too scary to finish:
Cabin Fever (2016)
Carnage Park (2016)
México Bárbaro (2014)
Piranha (2010)
Raw (2016)
Teeth (2007)
The Conjuring (2013)
The Human Centipede 2: Full Sequence (2011)
The Void (2016)
Jeruzalem (2015)
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