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Descargar Netflix v3.15.0 build 5235 APK 

SAN FRANCISCO: Netflix added a record seven million subscribers over the past quarter as part of its global expansion drive, fuelling a surge in revenue and profit for the streaming television giant. California-based Netflix said in its quarterly report Wednesday it ended the year with nearly 94 million subscribers, adding five million outside the United States in the last three months of the year. "This was the largest quarter of net additions in our history and was driven by strong acquisition trends in both our US and international segments," Netflix said in its quarterly update. That growth helped push net profit up 55 percent in the fourth quarter to $66.7 million, while revenues were up 36 percent from a year earlier to $2.5 billion. The stronger-than-expected results lifted Netflix shares more than eight percent in after-hours trade. "This quarter marks the 10-year anniversary of our launch of streaming," said Netflix. "The next decade will be even more amazing and tumultuous as internet TV supplants linear TV, and as we strive to remain a leader." Netflix added nearly 20 million new customers globally in the full year after announcing last January its plan to expand to some 190 countries to become a "global television network." "We are learning rapidly how best to match content with audience tastes around the world," said the companys quarterly letter to shareholders. "It is clear to us that high-quality content travels well across borders." Netflix said its expects to see strong growth ahead even as it faces more competitors such as Amazon, which is also expanding globally. The letter said Netflix expects 5.2 million new customers globally, including 3.7 million outside the US in the first quarter. "We will seek to steadily increase revenue and operating margin as we balance growth and profitability," the statement said. "We are in no rush to push margins up too quickly, as we want to ensure we are investing aggressively enough to continue to lead internet TV around the world." The expansion drive has meant that nearly half -- 47 percent -- of Netflix users are now outside the United States, a proportion expected to increase as it adds more customers. Netflix, known for its broad array of on-demand content and original productions such as "House of Cards" and "Marco Polo," said it continues to invest in new content. "We continue to invest in local programming to complement our content offering and as a means to introduce new members to our global library," the statement said. "We are focusing on local content that travels pan-regionally or across multiple territories, such as Japanese anime and Turkish dramas."

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El servicio de streaming de Netflix funciona con un reproductor basado en Microsoft Silverlight para evitar que el contenido audiovisual fuera descargado, aunque también cuenta con la opción de usar un reproductor creado con HTML5. Bajo Linux se puede ver Netflix usando el navegador Google Chrome, versión 38 o más reciente.¹¹ Cuando se entra a una película, Netflix precarga una pequeña parte de esta antes para evitar los cortes por almacenamiento en búfer.

David Morris wrote an article this week for Fortune titled, "Netflix: Geography, Age, and Gender are Garbage for Predicting Taste." Morris writes, 

Why is this statement so fascinating?  To me, it speaks directly to Netflixs competitive advantage.  If geography, age, and gender were, in fact, accurate predictors of viewers preferences, then Netflix would have a far less formidable advantage over rivals.  Why?  Well, those variables are easy to identify and measure.  Others can get access to that data quite easily and build predictive algorithms using that information.  However, if more accurate predictive algorithms involve data that are not as publicly available, then Netflix has a key advantage.  In other words, if the predictive power rests with variables that come from proprietary data that Netflix has collected about us, then the sustainability of Netflixs advantage over competitors rises substantially.  The same holds true for any company trying to take advantage of "big data" to develop predictive algorithms.   The key is to unearth variables that matter, but hopefully, variables that are not easily identified and measured by others.