- Overview
- Datasets
- Use Cases
- Attributes
- FAQ
- Overview
- Datasets
- Use Cases
- Attributes
- FAQ
What is Ad Fraud Data?
Ad fraud data refers to information collected and analyzed to identify fraudulent activities in online advertising campaigns. It includes data points such as suspicious clicks, impressions, conversions, and other metrics that indicate fraudulent behavior. By analyzing this data, advertisers can detect and prevent ad fraud, which helps ensure the accuracy and effectiveness of their advertising efforts.
Examples of Ad Fraud Data include click fraud, impression fraud, and bot traffic. Ad Fraud Data is used to identify and prevent fraudulent activities in online advertising campaigns, ensuring advertisers’ budgets are not wasted on fake clicks or impressions. In this page, you’ll find the best data sources for Ad Fraud Data.
Best Ad Fraud Databases & Datasets
Here is our curated selection of top Ad Fraud 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.
Ads.txt / App-ads.txt for advertisement compliance
Factori Web Data | Global web browsing & activity data feed (4.2 Billion records)
US Consumer Demographics | Homeowners & Renters | Email & Mobile Phone | Bulk & Custom | 255M People
USA Mobile Broadband Data | Mobile IP Data | 1st Party Data | 100% users are Opt in
ThinkCX | Digital Advertising Audiences for North American Telecoms (200M Devices)
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Popular Use Cases for Ad Fraud Data
Ad Fraud Data is essential for a wide range of business applications, offering valuable insights and driving opportunities across industries. Below, we have highlighted the most significant use cases for Ad Fraud Data.
Main Attributes of Ad Fraud Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The domain name of a company website. Potential ID to match company records. | View 1 datasets | |
| String | The email address of a company. | View 1 datasets | |
| String | The full name of a contact (first, middle, and last name). | View 1 datasets | |
| String | The name of a country. | View 1 datasets | |
| String | The internet protocol (IP) address of an endpoint. | View 1 datasets | |
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 1 datasets |
Frequently Asked Questions
How is the Quality of Ad Fraud Data Maintained?
The quality of Ad Fraud 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 Ad Fraud Data Updated?
The update frequency for Ad Fraud 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 Ad Fraud Data Secure?
The security of Ad Fraud 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 Ad Fraud Data Delivered?
Ad Fraud 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 Ad Fraud Data.
How Much Does Ad Fraud Data Cost?
The cost of Ad Fraud 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 Ad Fraud Data for your needs.
