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What is Bidstream Data? Examples, Datasets and Providers

Datarade Marketplace Logo
Eugenio Caterino
Editor & Data Industry Expert
Bidstream data includes information from real-time ad auctions, offering insights into consumer behavior and preferences. Here, you’ll find a guide and our top bidstream data providers, with the option to review their datasets.
On This Page:
  • Overview
  • Datasets
  • FAQ
On This Page:
  • Overview
  • Datasets
  • FAQ

What is Bidstream Data?

Bidstream data refers to the rich set of information that becomes available during the real-time bidding (RTB) process used to place advertisements on digital platforms. This data is generated every time an ad is auctioned, which occurs within milliseconds, and includes numerous details about the potential ad placement.

Key elements of bidstream data typically include:

  • User Information: Device type, browser used, IP address (which can suggest geographic location).
  • Contextual Data: Information about the webpage or app where the ad might appear, such as the URL, content type, and keywords associated with the content.
  • Ad Specifications: Details about the size and format of the ad, as well as the time and specific placement of the ad impression.

Marketers and advertisers use bidstream data to make informed decisions about where and how to place their ads, aiming to target specific audiences more effectively. The data helps in optimizing ad spend by identifying the most effective ad placements based on user engagement and demographic insights. However, the use of bidstream data also raises privacy concerns, as it involves the collection and use of detailed user information, often without explicit user consent.

Best Bidstream Databases & Datasets

Here is our curated selection of top Bidstream Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.

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Logo of Marcus Weather

WeatherDataAI | Single-Point Historical Weather Data | Global Coverage

by Marcus Weather
USA
UK
Germany
+247
Free sample preview
Pricing available upon request
Logo of Rwazi

Fruit Juice Retail Mapping - Product availability, pricing, shelf visibility, and outlet attributes for packaged fruit juices across retail locations

by Rwazi
USA
UK
Germany
+247
Free sample preview
API available
Pricing available upon request
Logo of Market Location

UK Business Data | Full UK B2B Coverage | Marketable or Analytical

by Market Location
UK
Free sample preview
API available
Pricing available upon request
Logo of Silencio Network

Large Language Model (LLM) Data | 10 Million POI Average Noise Levels | 35 B + Data Points | 100% Traceable Consent

by Silencio Network
USA
UK
Germany
+233
Free sample preview
Starts at
$5,000$4,500 / month
Logo of Wetter.com

Pollen Data | Pollen Forecast for 35+ Pollen Types | European Coverage | up to 7 days Forecast

by Wetter.com
UK
Germany
France
+32
API available
Pricing available upon request
Logo of Datago Technology Limited

Retail Investor Sentiment Analytics-South Korea (RISA-Korea) | Social Media Data | South Korea Coverage

by Datago Technology Limited
South Korea
Free sample preview
Pricing available upon request
Logo of Xverum

Store Location Data | 230M+ Global POIs & Retail Locations | 5000+ Categories with Restaurant, Retail & Business Coverage

by Xverum
5.0
USA
UK
Germany
+247
Free sample preview
Starts at
$2,000$1,800 / month
Logo of Sky Packets

Mobile Attribution Data | Mobile IP Data | 1st Party Data | 100% users are Opt in | USA | CSV format

by Sky Packets
USA
Free sample preview
Pricing available upon request
Logo of Michelin Mobility Intelligence

Truck Mobility Data | Europe & UK coverage

by Michelin Mobility Intelligence
UK
Germany
France
+14
Free sample preview
API available
Pricing available upon request
Logo of Solution Publishing

Identity Data | Enrichment | Appends | Enhancements | B2B and B2C

by Solution Publishing
5.0
USA
Pricing available upon request

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Frequently Asked Questions

How is the Quality of Bidstream Data Maintained?

The quality of Bidstream Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.

How Frequently is Bidstream Data Updated?

The update frequency for Bidstream Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.

Is Bidstream Data Secure?

The security of Bidstream Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.

How is Bidstream Data Delivered?

Bidstream Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Bidstream Data.

How Much Does Bidstream Data Cost?

The cost of Bidstream Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Bidstream Data for your needs.

Eugenio Caterino

Eugenio Caterino

Editor & Data Industry Expert @ Datarade

Eugenio is an editor and data industry expert with over a decade of experience specializing in B2B data marketplaces and e-commerce platforms. He has a strong background in data analytics, data science, and data management. Eugenio is passionate about helping companies leverage data and technology to drive innovation and business growth, ensuring they can easily and efficiently access the solutions they need.

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