The latest English-language film chart for June 12-18 was dominated by the Chris Hemsworth
led the way with 42.8m views – calculated by dividing 88.38m hours The streamer described views on its blog on Tuesday as a “good evolution” in a sector where it conceded there is no perfect streaming metric.
Going forward Netflix’s Top 10 lists will be ranked by views and the qualifying time will be stretched out from 28 days to 91 in recognition that titles can gain traction over a longer period of time.The latest June 12-18 English-language film chart was led by the Chris Hemsworth Extraction
action franchise claiming the top two spots.New arrival Extraction 2
led the way on 42.8m views – calculated by dividing 88.38m hours viewed by the two hours and seven minutes run time – followed by the 2020 original on 9.6m views (18.8m hours viewed divided by one hour and 68 minutes).
Netflix said in the blog it hoped the new metric would offer “better insights into what success in streaming looks like more generally”.
Filmmakers, Wall Street and the press have long commented on the streamer’s lack of transparency over its data. The Writers Guild Of America has made a number of demands, including increased streamer residuals based on better access to viewership data. The number of hours watched divided by the total running time. We have always said that there is no perfect streaming metric. But we believe that views combined with total hours viewed is a good evolution because it’s:
Anchored in engagement — our best measure of member satisfaction and a key driver of retention (which in turn drives our business);
Ensures longer titles don’t get an advantage; and
Enables third parties to compare the relative impact of movies and series — despite their different run times.
- Our hope is that by being consistent and transparent about what people are watching, Netflix can give everyone — consumers, creators, analysts and press — better insights into what success in streaming looks like more generally. We will continue to provide more detailed data to creators and listen to their feedback.