Andrew Leonard raises a concern about future programming on the site:
Netflix doesn’t just know that you are more likely to be watching a thriller on Saturday night than on Monday afternoon, but it also knows what you are more likely to be watching on your tablet as compared to your phone or laptop; or what people in a particular ZIP code like to watch on their tablets on a Sunday afternoon. Netflix even tracks how many people start tuning out when the credits start to roll.
He views House of Cards as “one of the first major test cases of this Big Data-driven creative strategy”:
For almost a year, Netflix executives have told us that their detailed knowledge of Netflix subscriber viewing preferences clinched their decision to license a remake of the popular and critically well regarded 1990 BBC miniseries. Netflix’s data indicated that the same subscribers who loved the original BBC production also gobbled down movies starring Kevin Spacey or directed by David Fincher. Therefore, concluded Netflix executives, a remake of the BBC drama with Spacey and Fincher attached was a no-brainer, to the point that the company committed $100 million for two 13-episode seasons. …
We’ve seen what happens when news publications specialize in just delivering online content that maximizes page views. It isn’t always the most edifying spectacle. Do we really want creative decisions about how a show looks and feels to be made according to an algorithm counting how many times we’ve bailed out of other shows?
Previous Dish on the series here.