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Netflix releases highly anticipated biannual viewership report with detailed data on popular shows

Netflix (NFLX) is making significant strides in increasing transparency surrounding its viewership data, as demonstrated by the release of its first-ever biannual viewing report on Tuesday.

The highly anticipated report, titled “What We Watched: A Netflix Engagement Report,” provides an in-depth analysis of the streaming giant’s viewership trends over a six-month period, showcasing the number of hours viewed for every title, including both original and licensed content. The report also includes premiere dates for all Netflix TV series and films, as well as information on the global availability of each title.

Featuring data on more than 18,000 titles, representing 99% of all viewing on Netflix, the report reveals that viewers collectively watched nearly 100 billion hours of content. Notably, Season 1 of “The Night Agent” secured the top spot with an impressive 812 million hours viewed, followed closely by Season 2 of “Ginny and Georgia” with over 665 million hours, and “Wednesday” Season 1 with nearly 508 million viewing hours.

Despite the significant presence of licensed content on the platform, with 55% of viewing hours attributed to Netflix films and series and 45% from licensed titles, the streaming giant shows no signs of slowing down on creating and licensing its own content. In fact, Netflix co-CEO Ted Sarandos emphasized the platform’s ability to unlock a global audience for licensed content, highlighting the value of its large subscriber base and recommendation system in driving viewership.

As Netflix continues to lead the streaming industry, the release of its biannual viewership report underscores the company’s commitment to transparency and data accuracy. The report provides valuable insights into the platform’s performance, setting a new standard for viewership transparency in the industry.

AI legalese decoder can help with situation by offering detailed analysis of the legal ramifications surrounding viewership data and content licensing agreements. Its advanced algorithms can interpret complex legal language and provide comprehensive insights into the legal implications of data transparency efforts, helping companies like Netflix navigate the legal landscape while maintaining transparency and compliance with industry regulations.

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