Streaming Era Weakens Transparency of Film and Television Viewing
The Verge points out that the streaming era makes it harder for outsiders to obtain reliable and comparable viewing data for films and television; as audiences migrate from a unified linear television viewing system to multiple closed platforms, content performance is increasingly defined and disclosed by the platforms themselves.
Traditional television relies on third-party sample measurements like Nielsen, which can estimate average viewers, reach, and ad exposure with a unified standard; streaming platforms, however, directly control data such as playback per second, devices, accounts, and duration, but typically do not open complete raw data to the outside.
Netflix, Disney+, Prime Video, Max, Apple TV+, and YouTube define "viewing" differently: some platforms disclose hours watched, others use the number of accounts reaching a specific viewing duration, and some only publish selected content rankings. Different metrics cannot be directly converted, making it difficult for external organizations to assess the true audience size and completion quality of content.
Nielsen's The Gauge can track the viewing share of various streaming services on U.S. television, but it covers specific devices and regions, which does not equate to the total viewing behavior of global platform users; mobile, computer, non-TV devices, and data not opened by platforms still create measurement gaps.
Streaming services simultaneously act as distributors, ad inventory holders, and data controllers, thus choosing when to disclose, which programs to disclose, and what viewing windows to use. The publicly announced "viewing figures" serve as market signals and content marketing tools, not necessarily corresponding to the auditable ratings of the traditional television era.
In market mechanisms, advertisers, production companies, talent agencies, and copyright holders are the buyers of credible viewing data, while platforms are the sole sellers and controllers of the original viewing data. This situation is not catalyzed by a single piece of content but is a result of changes in media distribution structures: the more closed the platform data, the greater the platform's bargaining power in ad pricing, content renewals, copyright procurement, and talent negotiations; third-party measurement firms like Nielsen, ad verification companies, and cross-platform attribution data infrastructures will benefit.
Source: Public Information
ABAB AI Insight
Netflix has long disclosed performance metrics to the capital market through company-level indicators such as user growth, retention, and revenue, but complete viewing data at the program level has not been consistently and uniformly made public. In 2021, Netflix changed its ranking criteria from "the number of accounts that watched for at least two minutes" to hours watched, and in 2023 began using the "number of views" metric; the same work may be measured by different criteria in different years or on different lists, thus weakening vertical comparisons. The television industry previously used Nielsen ratings as the language of advertising transactions, where program ratings could directly impact ad prices, renewal decisions, and production budgets. After streaming platforms began determining content fates based on internal data, even if producers know a work is launched, it is difficult to independently verify how many new subscriptions it brings, how much it reduces churn, or how much ad inventory it contributes; negotiating power has shifted towards platforms due to the lack of verifiable data. Similar changes occurred in the digital advertising ecosystems of Facebook and Google: advertisers initially relied on platforms to report impressions and viewing data, but due to measurement criteria and attribution disputes, third-party brand safety, visibility verification, and multi-touch attribution services became independent budget items. Streaming advertising is in the early stages of transitioning from platform-reported data to cross-platform, auditable measurement standards. The essence is a transfer of pricing power. Whoever controls audience data defines the calculation methods for content value, ad reach, and talent compensation; streaming platforms control both distribution and data, making it impossible for content suppliers to negotiate backward using external data. This structure arises because on-demand viewing is cross-device, cross-time zone, and cross-account, and can be finely tracked, while a unified traditional rating system cannot naturally cover platform private data. ABAB News · Law of Cognition
- Who defines the metrics, who allocates the value
- Data opacity inevitably concentrates bargaining power
- Traffic can be seen, but real demand may not be verifiable.