November 22, 2021
Netflix’s animated fantasy series “Arcane” took over the No. 1 spot on Parrot Analytics’ digital originals U.S. chart the week ended Nov. 19. The “League of Legends” prequel had a 43.6% rise in demand expressions, the proprietary metric Parrot uses to gauge a show’s popularity, to give it 46.6 times the demand of an average show. It had been No. 6 the previous week following its Nov. 6 debut. “Arcane” was No. 4 on the list of overall TV shows.
Netflix’s perennially popular “Stranger Things” slipped to No. 2 on the digital originals chart, taking 39.8 times average demand after a 23.9% drop in demand expressions. “Stranger Things” was No. 7 on the list of overall TV shows.
The Disney+ “Star Wars” series “The Mandalorian” dropped to No. 3 on the digital originals chart. It had a 0.7% jump in demand expressions to give it 37.2 times the demand of an average series.
The Apple TV+ soccer comedy “Ted Lasso” climbed three spots to No. 4 despite a 1.8% drop in demand expressions, recording 31.2 times average demand.
HBO Max’s “Titans” dropped two spots to No. 5 on the digital originals chart. The superhero series had an 11.5% dip in demand expressions to give it 30.8 times the demand of an average show.
The biggest jump into the top 10 was from the Paramount+ series “Star Trek: Discovery,” which rose to No. 9 after taking No. 24 the previous week. The series had its fourth-season premiere Nov. 18. It had a 30% rise in demand expressions to give it 25.1 times average demand.
A “digital original” is Parrot’s term for a multi-episode series in which the most recent season was first made available on a streaming platform such as Netflix, Amazon Prime Video, Hulu or Disney+.
The No. 1 overall TV series in terms of online demand was “SpongeBob SquarePants,” with 69.1 times average demand.
Media Play News has teamed with Parrot Analytics to provide readers with a weekly top 10 of the most popular digital original TV series in the United States, based on the firm’s proprietary metric called Demand Expressions, which measures demand for TV content in a given market through a wide variety of data sources, including video streaming, social media activity, photo sharing, blogging, commenting on fan and critic rating platforms, and downloading and streaming via peer-to-peer protocols and file sharing sites. Results are expressed as a comparison with the average demand for a TV show of any kind in the market.