On This Page:
- Overview
- Datasets
- Providers
- Use Cases
- Attributes
- FAQ
On This Page:
- Overview
- Datasets
- Providers
- 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.
Ad Fraud Prevention for USA based on Deterministic & Probabilistic Data - Interceptd
Ads.txt / App-ads.txt for advertisement compliance
Factori Web Data | Global web browsing & activity data feed (4.2 Billion records)
Identity Linkage Data | IP Address <> MAIDs <> User Agent Matching Data | IP to Geolocation Data
Interceptd App Install Data USA for Online Fraud Analysis
US Consumer Demographics | Homeowners & Renters | Email & Mobile Phone | Bulk & Custom | 255M People
Global Mobile IP Data | IP Address <> MAIDs <> User Agent Matching Data | IP to Address Data
The Data Group's Hashed Email Data|Over 8 Billion US Records|Up to 90% Match Rates|Boost Onboarding & Indentity Graph Linkage|4 Bilion MAIDs Available
Global News-driven KYC Intelligence Data | Web News | News Data / Adverse Media Data / KYB, KYC Data
Mediasmart Programmatic Brand Marketing Platform for Europe
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Top Ad Fraud Data Providers & Companies
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Fraudlogix
CoverageUSAUK+242Fraudlogix helps the world’s largest advertising exchanges and networks prevent digital ad fraud through longstanding partnerships and integrations. We specialize in bot detection and ad verification solutions for Advertisers, DSPs, Networks, Exchanges & SSPs.1 BillionUnique Users Monitored300+ MURLs and APPs Tracked30%Internet Population Monthly -
QuoteWay
CoverageCanadaVWe were seeking customers who were looking to purchase life insurance. Social media and google platforms were used. The leads were converted quite often to clients and were clearly fresh leads. We received the leads in real time. The cost were fair, and there were no hidden fees. The platform was easy to use and navigate. And the lead provider easily integrated their system with our CRM. The speed of delivery of the leads were quite high, and the ad quality matched the expectations of our highly regulated industry.
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Interceptd
CoverageUSAInterceptd is your ingenious defence against mobile ad fraud to let you identify the best channels to spend your money, shield and protect your marketing data, and increase the profitability with better ROAS. -
Datandard
CoverageUSAUK+247Data should be easy to purchase and use. With Datandard you can get access to high quality datasets that are delivered in bulk in formats that are easy to ingest.AffordablePriced at 25% vs competitorsTimelyReal-time feeds availableGlobalData sourced globally -
IPQualityScore (IPQS)
CoverageUSAUK+238VWe purchased the IP address database from IPQS last year. Data purchases are always a gamble, but it has met and exceeded our expectations. The product managers have also been very happy with the account level support they receive, so communication has been great along with the data quality. Full coverage for worldwide support and it has really helped our fraud detection use case.
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 internet protocol (IP) address of an endpoint. | View 5 datasets | |
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 5 datasets | |
| String | The country code in Alpha-2 format (ISO 3166) | View 3 datasets | |
| String | The name of a language as per ISO 639. | View 3 datasets | |
| String | The Internet Protocol version 4 (IPv4) address of an endpoint. | View 2 datasets | |
| String | The domain name of a company website. Potential ID to match company records. | 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.
