‘Stranger Things,’ ‘Mandalorian,’ ‘Wednesday’ Remain Top 3 on Parrot Digital Originals Chart

Netflix’s supernatural thriller “Stranger Things” remained No. 1 on Parrot Analytics’ digital originals U.S. rankings the week ended Jan. 27. The series had 7.7% drop in demand expressions, the proprietary metric Parrot uses to gauge a show’s popularity, giving it 59.8 times the demand of an average series. “Stranger Things” was No. 6 on Parrot’s list of overall TV shows.

Remaining No. 2 on the digital originals chart was the Disney+ “Star Wars” series “The Mandalorian,” which had a 10% dip in demand expressions to give it 47.1 times average demand. The show’s third season bows March 1.

The No. 3 digital original was again Netflix’s “Wednesday,” which had a 12.9% drop in demand expressions to give it 36.5 times average demand.

Netflix’s “The Witcher” rose a spot to No. 4 on the digital originals chart, with a 0.73% rise in demand expressions, giving it 33.9 times average demand.

No. 5 was Netflix’s “Cobra Kai,” up six spots from the previous week and back into the top 10 following the announcement that the “Karate Kid” spinoff was returning for its sixth and final season. It had a 25.9% rise in demand expressions to give it 33.5 times average demand.

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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 “Saturday Night Live” with 69.2 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.


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