受众至上的媒体测量为每个人带来更好的结果
Audience-first media measurement means accurately counting and reporting the viewing habits of everybody, everywhere.
受众至上的媒体测量
不断创新，为您提供更好的服务
Our mission is to deliver measurement that powers a better media future for all people. As the industry leader and currency of choice, we’re always working to provide independently audited, unbiased and accredited measurement. We are continually innovating to help move the industry forward. Our unique approach of using big data validated by the real consumer viewing behavior captured through our representative panel makes us the only measurement company that can accurately measure the evolving face of America.
Our mission relies upon measurement integrity—
accurate, equitable, unbiased, and reliable media
measurement that works for everyone
准确
我们将无与伦比的大数据覆盖范围（跨线性、CTV 和流媒体）与利用我们强大的个人层面面板验证数据的独特能力相结合。通过利用直接出版商集成、数字墙、网络和流媒体服务测量以及最先进的数据科学，我们实现了所有平台的真正可比性以及重复受众的能力。因此，我们能为业界提供最清晰的信息，让他们了解谁在观看什么节目。
公平
我们对不同种族、民族、收入和地域的所有受众进行测量。通过计算和代表真实的人，并用我们的小组中 101,000 多人的真实观看行为来验证我们的大数据集，我们能够代表所有受众，包括通常被忽视的难以测量的少数群体。
不偏不倚
我们完全独立，只对受众负责。我们提供客观的核算，确保所有媒体买家和卖家都能公平竞争。历史证明，主要的衡量标准不能来自于自利的一方。
可靠
We remain committed to regular, independent validation of our TV and digital measurement services so that you can continue to transact with confidence today and well into the future. Our commitment ensures that media companies can depend on metrics that meet the industry’s standards and principles.
尼尔森创新
随着受众行为的变化，尼尔森也在不断创新
我们不断创新，拥抱最新的技术能力，包括大数据、云计算和人工智能。每天，我们 500 多名数据科学家都在努力改进我们现有的产品，并致力于打造全新的、具有前瞻性的测量形式。
了解有关尼尔森近期创新的更多信息
大数据 + 小组
尼尔森在 "受众第一 "的测量中释放大数据的力量，同时利用我们以人为基础的样本库来降低大数据的典型风险，如偏差和噪音。利用先进的数据科学和行业领先的选择加入面板，我们可以识别对准确测量至关重要的行为模式。
开放网络中的身份识别
尼尔森拥有领先的身份识别解决方案，该解决方案专为测量而设计，能够整合媒体行业的数百万个数据点。这些数据点包括由参与的广告商和出版商提供的标识符，以及著名的身份数据提供商提供的标识符，所有这些标识符都经过我们以人为基础的面板验证。因此，我们具有独一无二的能力，能够准确测量所有平台和设备上的受众。
获取事实
受众至上的媒体衡量真相
小说：
小组讨论已经过时，未来的衡量标准是一种纯粹的大数据方法。
事实：
Big data is an incredibly powerful tool–and Nielsen is at the forefront of using big data sets to deliver accurate measurement. Big data (set top box or ACR) cannot alone be used for measurement. The reality is that big data sets are inherently unrepresentative. Relying solely on those sets results in undercounting and underrepresentation of Black, Hispanic, and other audiences. They also lead to fundamentally inaccurate measurement. Using panels in combination with big data makes it possible to benefit from the power of that data while ensuring true representation. In 2022, Nielsen measured over 500,000 people in the U.S. who agreed to be a panelist across TV, digital and audio with approaches ranging from direct metering to data calibration and validation, and so far this year, that number continues to grow to more than 750,000 people.
小说：
市场上的所有测量产品都提供受众至上的媒体测量。
事实：
Unfortunately that’s not the case. Many of the alternative measurement solutions rely solely on sources like certain credit data models to project audiences. The result would be a drastic undercounting and underrepresentation of minority communities that are captured by Nielsen but often ignored by other measurement companies. In addition, many of the alternative measurement providers do not adhere to rigorous measurement standards that reflect current audience realities and platform capabilities that are critical for any measurement company. The Media Rating Council (MRC) recently made clear that Nielsen is currently the only measurement provider currently accredited for its TV ratings service, and that Nielsen is the only provider that has remained fully audited over the past 12 months. Nielsen provides a measurement currency you can trust.
小说：
尼尔森只测量老式线性电视的收视率。
事实：
Nielsen provides the most comprehensive media measurement available. We measure a wide range of media, from linear TV, to digital, streaming, audio, and even out of home viewing. For example, our 数字广告评级 measures 87% of total digital spend across Computer, Mobile, and CTV. Nielsen has the most robust streaming measurement solution in the market. And we utilize the latest technology and more big data than any other measurement company out there.
