Data Privacy Scores

A Ranking of Companies Based on Data Privacy


Neutronian Data Privacy Scores (DPS) provide verification and ranking of companies and domains based on an assessment of data privacy. With an increasing number of high-profile privacy fines and lawsuits, it is clear that more transparency is needed across the marketing ecosystem. Neutronian’s Data Privacy Scores establish a standard for data privacy verification that provides this transparency and allows organizations to evaluate partners more effectively.

Over 3,000 companies and domains have been scored for the January 2023 release. This includes traditional third-party data providers, analytics partners and ad tech platforms as well as brands, retailers and publishers that collect first party data.

Data Privacy Scores

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Sample Data Privacy Score Reports

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Check out our white paper to learn more about our scoring framework and methodology.

Contact us to find out how you can receive feedback on your scores or to learn more about our in-depth audit and certification process.

Complete our feedback form to submit items for consideration in the next release of the scores (Q2 2023).

Benefits and Use Cases

The Data Privacy Scores allow companies to have better transparency and verification of data privacy. The main benefits of the Scores include:

  • Transparency and Verification: The Data Privacy Scores provide clear guidance on data privacy risk when deciding which data and media partners to work with. 

  • Monitoring and Benchmarking: The Scores also help companies monitor their own scores and benchmark their competitors or partners against the industry average.

  • Campaign Verification and Optimization: The Scores help ensure that campaigns are delivered in trusted and privacy safe environments.


The Data Privacy Scores are generated based on a review of the publicly available data about each entity. Examples of the types of data reviewed include a company’s Privacy Policy, privacy regulation (ex. GDPR/CCPA) disclosures, opt-out and DSAR processes, sensitive information disclosures, and company background details.

Data is collected using a mix of three collection approaches: 

  • Automated/crawler tools:  Data pertaining to the website or mobile app that is crawled and automatically collected directly from the domain/app itself or from publicly available sources and processed by Neutronian to support the scoring process.
  • Human review: Review by Neutronian audit staff trained in data collection and scoring methodologies. These reviews serve to form complete data privacy scores, quality check data gathered by Neutronian crawlers, and to train machine learning models assigning scores on an automated basis.
  • Input from rated entities: Neutronian provides a web-based form where rated entities can submit information or request review of their data privacy score based on publicly available information. For firms seeking full Neutronian certification separate from the Data Privacy Scores, input from both publicly available data and private/confidential information is taken into consideration.

Scores are then generated based on the data that has been collected for each of the companies that are reviewed. Scores are based on the Data Privacy Scoring framework covering three core categories – Privacy & Compliance, Data Disclosures and Company Background. Multiple aspects are reviewed within each category and then scores are calculated for each category as well as an overall score. You can learn more about the Data Privacy Scoring framework by downloading our methodology white paper here.