Netflix’s “The Umbrella Academy” remained in the No. 1 spot on Parrot Analytics’ digital originals rankings, as well as the data firm’s list of all TV shows, the week ended Aug. 15, its second consecutive week atop both charts. The series had 126 times the demand of the average series, while demand for the show rose 4.1% from the previous week.
Holding at No. 2 was Netflix’s “Stranger Things,” which had 56.2 times the demand of the average series, while the show was down 1.5% in demand expressions, the proprietary metric Parrot uses to gauge a show’s popularity.
The Disney+ live-action “Star Wars” series “The Mandalorian” remained at No. 3 for the week. It had 42.7 times the demand of the average show, with expressions down 6.1%.
DC Universe’s “Titans” rose to the No. 4 spot with 38 times average demand and expressions up 7.6%.
The Disney+ animated series “Star Wars: The Clone Wars” rose a spot to No. 5 with 35.4 times average demand and expressions up 5.6%.
The DC Comics-based series “Stargirl” climbed four spots to take No. 10 after the release of its first-season finale Aug. 10 on DC Universe. The series is shared between the streaming service and the CW broadcast network, which airs episodes a day after they debut online. Demand expressions rose 14.7% during the week to push the show to 28.4 times average demand. However, the show will no longer count as a digital original going forward as season two will debut solely on the CW.
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+.
Following “Umbrella Academy,” the No. 2 overall TV series was “SpongeBob SquarePants,” with 112 times average demand. “Stranger Things” was No. 5 on the overall TV list.
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.