Explaining the Business of Entertainment
Deep dives into Nielsen and other data that provide insights into streaming.
In what is now a recurring column, over at Decider I took a look at all the ratings data I could find to declare the streaming winner in the US for November. This one is packed with with charts, tables and data. (If you’re curious for the older editions, here’s
Last December, I unveiled my theory for how big organizations use PR. Big entities—be they corporations, governments, non-profits, even news outlets—share their good information and actively hide bad information. It’s like the iceberg principle on steroids. Especially with digital companies like Netflix: (By the way, in government, the CIA is
(This is the third part of a multi-part series exploring one specific Netflix number. To read the other pieces: – Introducting “Datecdotes”, when Streaming Companies use Data to Win the PR Wars – Did More People Watch Crazy Rich Asians or a Netflix Rom Com Last Summer? – Netflix versus
(For Part I of this series on Netflix versus Crazy Rich Asians, click here.) If you can’t tell by my article last week, I had a lot of fun with my comparison between Netflix romantic comedies and Crazy Rich Asians. Unfortunately, I had a lot of ideas for that article
(This is the third part of a multi-part series exploring one specific Netflix number. To read the other pieces: – Introducting “Datecdotes”, when Streaming Companies use Data to Win the PR Wars – Did More People Watch Crazy Rich Asians or a Netflix Rom Com Last Summer? – Netflix versus
Here are some fun stats. What do they tell us? – Netflix over the summer had 80 million customer accounts watch one of their Netflix Original Romantic Comedies. – Netflix had 20 million streams for The Christmas Chronicles over the last weekend. – Amazon Prime/Video/Studios had 14.7 million total customers
A few weeks back, I explained why “small sample size” dooms any effort to use big data to predict box office performance of feature films. But what about TV shows? What about streaming services? Can’t they use advanced algorithms to predict success there? Nope. As “No, Seriously, Why Don’t You
No. That’s a quick article! Just one word and you can continue on to elsewhere in your internet with too many articles to read. Oh, you’re still here. Well, I do have some more thoughts, so let’s keep going. Since this website is still gaining steam, I haven’t had time
If you want to know the “holy grail” for data scientists, I’ll tell you: Predicting box office performance of movie scripts. Here’s how it goes. An aspiring data scientist—ranging from bright undergraduate in computer science to a Ph.D. candidate in statistics to even tenured professors—looks for a new topic. They’re