January 10, 2022
Netflix’s “Cobra Kai” rose to No. 1 on both Parrot Analytics’ digital originals rankings and the data firm’s list of all TV shows the week ended Jan. 7. In the week following the Dec. 31 premiere of its fourth season, the “Karate Kid” sequel series had 87.8 times the demand of the average series with another 99.1% increase in demand expressions, the proprietary metric Parrot uses to gauge a show’s popularity.
Netflix’s fantasy series “The Witcher” slipped to No. 2 on the digital originals chart after two weeks in the top spot, with 65.4 times the demand of an average series during the week after a 12.3% drop in demand expressions. “The Witcher” was No. 3 on the list of overall TV shows.
The Disney+ “Star Wars” series “The Mandalorian” rose two spots to No. 3 on the digital originals chart with a 3.6% rise in demand expressions to give it 40.6 times the demand of an average series. “The Mandalorian” was No. 10 on the list of overall TV shows.
“Mandalorian” spin-off “The Book of Boba Fett” rose two spots to No. 4, with its second of seven episodes bowing during the week following the “Star Wars” show’s Dec. 29 premiere. It had 39.5 times the demand of an average series following a 54.9% rise in demand expressions.
The Disney+ Marvel series “Hawkeye” slipped a spot to No. 5 on the digital originals list. It had a 9.8% drop in demand expressions to give it 36.1 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. 2 overall TV series in terms of online demand was “SpongeBob SquarePants,” with 72.9 times average demand. It had been No. 1 the previous week.
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.