March 19, 2019
Netflix’s “The Umbrella Academy” remains the most popular digital original series according to Parrot Analytics’ Demand Expressions chart for the week ended March 16, its fourth straight week in the top spot.
Demand for “Umbrella Academy” grew another 7.3% from the previous week, up to 53.3 million average daily Demand Expressions, the proprietary metric used by Parrot Analytics to measure global demand for TV content.
The Demand Expressions metric draws from 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.
A “digital original” is a multi-episode series in which the most recent season was first made available on a streaming platform such as Netflix, Amazon Prime Video or Hulu.
The digital originals top five were the same shows from the previous week, but in a different order.
DC Universe’s “Titans” kept the No. 2 spot with a 6% gain in expressions, to 27.9 million.
“Star Trek: Discovery,” from CBS All Access, rose to No. 3 with 26.8 million expressions, up 8.8%. Netflix’s “Stranger Things” rose 2.7% to 24.9 million expressions, but slipped to slipped to No. 4.
DC Universe’s “Doom Patrol” slipped to No. 5 with 24.2 million expressions, down 6.2% from the prior week.
Elsewhere on the chart, Netflix’s coming-of-age dramedy “On My Block” jumped to No. 7 on the chart with 21.5 million expressions, a 50.2% increase that coincides with its March 16 debut. It had been No. 18 the previous week.
“One Day at a Time,” which was canceled by Netflix March 14 after three seasons, was up a spot to No. 9 on the chart with 19.4 million expressions, an 11.1% increase over 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 global demand for TV content 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.