Netflix’s animated fantasy series “Arcane” remained No. 1 on Parrot Analytics’ digital originals U.S. chart the week ended Nov. 26. The “League of Legends” prequel had an 8.7% rise in demand expressions, the proprietary metric Parrot uses to gauge a show’s popularity, to give it 50.6 times the demand of an average show. “Arcane” was No. 3 on the list of overall TV shows.
Amazon Prime Video’s “The Wheel of Time” had a huge jump into the top 10, climbing 13 spots to No. 2 on the digital originals chart after its Nov 19 debut. Based on a series of fantasy novels, the show had 45.2 times the demand of an average series after a 99% rise in demand expressions for the week. “The Wheel of Time” was No. 6 on the list of overall TV shows.
Netflix’s perennially popular “Stranger Things” slipped to No. 3 on the digital originals chart, taking 37.7 times average demand after a 5.3% drop in demand expressions.
The Disney+ “Star Wars” series “The Mandalorian” dropped to No. 4 on the digital originals chart. It had a 0.6% jump in demand expressions to give it 37.3 times the demand of an average series.
The Apple TV+ soccer comedy “Ted Lasso” slid to No. 5 with a 5.7% drop in demand expressions, recording 29.4 times average demand.
The biggest jump into the top 10 was from the Disney+ Marvel series “Hawkeye,” which rose to No. 10 after taking No. 31 the previous week. The limited series premiered its first two episodes Nov. 24. It had a 48.8% rise in demand expressions to give it 25.3 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 74 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.