Netflix has a very large subscriber base and they obviously track a lot of different data points. Earlier today they released some data in relation to people’s viewing habits, more specifically at what point in a TV series run people get addicted.
What’s interesting is that the pilot episode isn’t a strong indicator of “addiction” or “getting hooked” to a show. In most cases people watch several episodes before they get “sucked in” and “hooked”.
So which episodes are the tipping point for some of the more popular shows? According to Netflix they are:
- Bates Motel, Episode 2
- Better Call Saul, Episode 4*
- Bloodline, Episode 4
- BoJack Horseman, Episode 5
- Breaking Bad, Episode 2*
- Dexter, Episode 3*
- Gossip Girl, Episode 3
- Grace & Frankie, Episode 4
- House of Cards, Episode 3*
- Marco Polo, Episode 3
- Marvel’s Daredevil, Episode 5
- Once Upon A Time, Episode 6*
- Orange is the New Black, Episode 3
- Pretty Little Liars, Episode 4
- Sense8, Episode 3
- Sons of Anarchy, Episode 2*
- Suits, Episode 2*
- The Killing, Episode 2
- The Walking Dead, Episode 2*
- Unbreakable Kimmy Schmidt, Episode 4*
Here’s the data in a more visual form – bear in mind that not all shows are available in all Netflix regions:
Netflix knows when you’re sleeping and when you’re away, but more importantly, when you’re addicted: http://t.co/nfyHbhNQdO
RT @blacknight: Netflix Uses Big Data To Detect The Addiction Tipping Point For TV Shows: http://t.co/6frbJjnUn9
Netflix Uses Big Data To Detect The Addiction Tipping Point For TV Shows http://t.co/yVhZBYeNlN via @blacknight
RT @mneylon: Netflix Uses Big Data To Detect The Addiction Tipping Point For TV Shows http://t.co/yVhZBYeNlN via @blacknight
RT @mneylon: Netflix Uses Big Data To Detect The Addiction Tipping Point For TV Shows http://t.co/yVhZBYeNlN via @blacknight
Netflix Uses Big Data To Detect The Addiction Tipping Point For TV Shows http://t.co/Xj4n8mBgWR ó @blacknight
Netflix Uses Big Data To Detect The Addiction Tipping Point For TV Shows http://t.co/hH42LHAOMq via @blacknight