‘Wednesday’ Takes Over Top Spot on Parrot’s Television Demand Chart
December 19, 2022
Netflix’s spooky mystery series “Wednesday” took over the No. 1 spot on Parrot Analytics’ digital originals U.S. rankings the week ended Dec. 16, as well as Parrot’s list of all TV shows. The “Addams Family”-inspired series had a 27.7% rise in demand expressions, the proprietary metric Parrot uses to gauge a show’s popularity, giving it 77.8 times the demand of an average series.
Another Netflix series, the supernatural thriller “Stranger Things,” slipped to No. 2 on the digital originals chart after 35 consecutive weeks in the top spot. “Stranger Things,” which was No. 5 on Parrot’s list of overall TV shows, had a 10.1% drop in demand expressions, giving it 58.1 times the demand of an average series.
Maintaining No. 3 was the Disney+ “Star Wars” series “The Mandalorian,” which had a 4.7% drop in demand expressions to give it 38.7 times average demand.
Netflix’s “The Witcher” climbed a spot to No. 4, grabbing 37.4 times average demand after a 5.1% increase in demand expressions. Buzz for the series has increased in the lead-up to the Dec. 25 premiere of prequel series “The Witcher: Blood Origin.”
HBO Max’s superhero series “Titans” slid to No. 5 with a 4.6% drop in demand expressions, giving it 37.1 times average demand. The show is in the midst of its fourth season, with the first batch of six episodes concluding Dec. 1. The remaining six of the season will bow in 2023.
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+.
After “Wednesday,” the No. 2 overall TV series in terms of online demand was “SpongeBob SquarePants” with 69.1 times average demand.
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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.