Fraudsters are pretty smart. We’re smarter.


Non-Human Invalid Traffic (IVT)

We flag invalid traffic across billions of bid requests, impressions and clicks every day, keeping you safe from botnets, data center traffic, click farms, proxies, hijacked devices, malicious ad injectors, and more.

Mobile Fraud

Industry known for our mobile fraud protection, our powerful algorithms and ethical hackers protect you from invalid app installs and device hijacking, as well as app, device and browser spoofing.

Hidden Ads

We can tell you when an ad has been intentionally hidden behind other ads, placed outside a website’s bounds or injected into the user’s browser through hidden or multiple iFrames.

Performance & Install Fraud

We protect you from malicious actors who manipulate the attribution processes and falsely earn credit for conversions by stuffing cookies, faking installs and injecting ads where they don’t belong.

Domain Fraud

Fraudsters can mask or fake how ads are loaded. We see through multiple iFrames to report the true domain where your ad appeared, helping you audit your supply sources and get the inventory you paid for.

Ad Viewability

Viewability isn’t always a fraud issue, but paying for ads that weren’t seen is still wasted budget. We detect whether ads are seen by real people and for how long, helping you to optimize beyond IAB guidelines.


Fraud Intelligence Database

Fraudsters tend to commit bad acts repetitively. Our massive fraud intelligence database includes IP and forensic reputation data updated in real time for reliable visitor screening. It continually learns and evolves with each new piece of data and through the work of our data science team.

True URL

Landing on unintended pages can create negative feelings toward your brand. True URL addresses issues related to brand safety and inaccurate targeting by showing you the URL where your ad appeared, even when the ad has been iFramed multiple times or the publisher is not reporting an accurate URL to the exchange.

Device Manipulation Recognition

Fraudsters often use operating systems and browser manipulation to spoof their real identity and simulate real traffic. We look for anomalies within traffic to identify instances of manipulation, where a fraudulent user or bot would display a specific pattern within the HTTP request and JavaScript characteristics of the browser.

Automated Traffic Detection

Our sophisticated machine learning algorithms and global review of billions of ad impressions every day keep us steps ahead of the bad actors. Our automated detection methods accurately identify invalid traffic from botnets, hijacked devices, malicious script injection and other means of stealing your ad budget.

Proxy Unmasking

We have an incredible wealth of experience examining IP addresses and users based on their historical characteristics and behavior. Our detection algorithms can see behind the proxies that fraudsters hide behind and identify the tactics they use to generate fake impressions, clicks and conversions.

Cookie Stuffing Detection

Fraudulent partners steal conversion credit by forcing clicks through hidden iFrames, browser toolbars, pop-under windows and injected ads. This bad behavior diverts revenue from high-quality partners and forces you to pay for organic traffic. Our algorithms consider behavior, anomalies and time patterns to detect these actions.

Download the Yeahmobi Case Study