---
title: "Q2 2019: 15% of Android, 5% of iPhone ad traffic fraudulent"
description: Report on the percentage of ad fraud within the programmatic system during Q2 2019 with focus on the OS families - Android, iPhone, Windows, etc.
image: https://blog.fraudlogix.com/hubfs/q22019_fraudbyoperatingsystem.png
---

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# Articles and Research

# Q2 2019: 15% of Android, 5% of iPhone ad traffic fraudulent

Posted by [Fraudlogix](https://blog.fraudlogix.com/author/fraudlogix) on Aug 27, 2019 11:00:00 AM

![](https://blog.fraudlogix.com/hubfs/Fraudlogix_Favicon.png)

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The latest data collected during Q2 2019 reveals that Google's Android OS was the most popular family of operating systems, however, almost 15 percent of ad traffic coming from those devices was fraudulent. Apple's iPhones fared better with only about 5 percent of ad traffic found to be fraudulent. Ad traffic from desktop devices running  Microsoft's Windows OS was 14 percent fraudulent while only about 6 percent of traffic coming from Apple's Mac OS was fake.

---

#### **Download a copy of this report.**

A PDF of our Q2 2019 Programmatic Ad Fraud Report is provided in the link below. 

[![Q2 2019 Ad Fraud Report](https://no-cache.hubspot.com/cta/default/2077077/3c8dc30c-8009-40fe-a404-3dc185c93459.png)](https://cta-redirect.hubspot.com/cta/redirect/2077077/3c8dc30c-8009-40fe-a404-3dc185c93459)

---

This post concentrates on the percentage of fraud that came from devices running the most-common operating systems. We've grouped together numerous versions of each OS into OS families. Keep in mind that  [Fraudlogix’s pixel-based technology](https://www.fraudlogix.com/solutions/programmatic-rtb-solutions/) regularly monitors data from 710 million unique users, 1.2 billion unique devices, and 300+ million URLs and apps monthly. We map the latest devices, locations, bots, behaviors and hacking tactics that are being used by digital fraudsters within mobile, in-app, display, video, and OTT environments. Key data around operating systems and ad fraud is included below.

## **Android OS was the most commonly observed operating system**

In Q2 the most common operating system family observed was Android (43%), followed by 28% Windows, 20% iPhone, 4% iPad, 3% Mac OSX. and 1% Linux.

![Ad Traffic By OS Q2 2019](https://blog.fraudlogix.com/hs-fs/hubfs/Data%20Report%20Images/AdTrafficByOSQ22019-1.png?width=400&name=AdTrafficByOSQ22019-1.png)

## **14.8% of Android ad traffic was fraudulent**

While ad traffic coming from Linux operating systems had the highest percentage of fraud at 18.8%, ad traffic from the most common OS (Android) was 14.8% fraudulent. Ad traffic from the iPhone OS family was 4.7% fraudulent. Traffic from devices running Windows was 14.1% fraudulent, MacOSX 6.2%, and iPad 3.3% fraudulent.

![fraudulent ad traffic by operating system q2 2019](https://blog.fraudlogix.com/hs-fs/hubfs/q22019_fraudbyoperatingsystem.png?width=581&name=q22019_fraudbyoperatingsystem.png)

**Keep an eye out for further insights.**

In [September 2018 we began reporting ad fraud statistics](https://blog.fraudlogix.com/12-percent-of-global-ad-traffic-fraudulent) for the programmatic ad space based on monthly data we collected. We then published our first Quarterly Ad Fraud Report with data from [Q4, 2018](https://blog.fraudlogix.com/q4-2018-ad-fraud-report). We're continuing this coverage with our Q2 2019 Ad Fraud Report, which includes data on which devices, browsers and operating systems are being used most for fraud and what areas of the world fraudulent traffic is originating from.

Keeping the industry updated on the latest data and threats we see in the digital ad community is important, so we we'll be publishing regular updates on ad fraud percentages as well as which countries, devices, browsers and operating systems are being taken advantage the most for [ad fraud schemes](https://blog.fraudlogix.com/the-biggest-ad-fraud-schemes-and-ad-tech-stories-of-2018). Stay tuned. 

[![Learn More About Fraudlogix](https://no-cache.hubspot.com/cta/default/2077077/ff4dae8b-ad27-4dec-aa34-1052443f09f2.png)](https://cta-redirect.hubspot.com/cta/redirect/2077077/ff4dae8b-ad27-4dec-aa34-1052443f09f2)

 Topics: [Research](https://blog.fraudlogix.com/topic/research)

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```json
// <![CDATA[
{						
"@context":"http:\/\/schema.org",						
"@id":"ad-fraud",						
"@type":"Thing",						
"description":"Any time engagement with an online ad has been forged to generate revenue.",	
"mainEntityOfPage":"http://wiki.fraudlogix.com/glossary/ad-fraud/",											
"name":"ad fraud",						
"alternatename": ["ad fraud","invalid traffic"],						
"sameAs":"https://en.wikipedia.org/wiki/Ad_fraud"						
					
}
// ]]>
```

```json
// <![CDATA[
{						
"@context":"http:\/\/schema.org",						
"@id":"bot",						
"@type":"Thing",						
"description":"A bot is a software application that’s programmed to run automated tasks over the internet. In terms of ad fraud, bots are often malware programmed to visit websites to view and interact with ads, which generates forged (fake) impressions, views, and clicks.",						
"mainEntityOfPage":"http://wiki.fraudlogix.com/glossary/bot/",						
"name":"bot",						
"alternatename": ["internet bot","web robot","WWW robot"],						
"sameAs":"https://en.wikipedia.org/wiki/Internet_bot"						
					
}
// ]]>
```

```json
// <![CDATA[
{						
"@context":"http:\/\/schema.org",						
"@id":"RTB",						
"@type":"Thing",						
"description":"In the online advertising space, RTB is the way programmatic ads are bought and sold on a per-impression basis – it’s the instantaneous auction of ad space that happens every time a user views a webpage that monetizes programmatically. Very basically, a user visits a website, which generates a bid request for the ad space on that page. The bid request contains information on that user (e.g., IP address, user agent, location, cookie information, etc.). Advertisers bid on the impression based on the information from the bid request and the winner of the auction gets their ad served to that user. This all happens in a fraction of a second. ",						
"mainEntityOfPage":"http://wiki.fraudlogix.com/glossary/rtb/",						
"name":"RTB",
"alternatename": ["real time bidding"],						
"sameAs":"https://en.wikipedia.org/wiki/Real-time_bidding"						
					
}
// ]]>
```

```json
// <![CDATA[
{						
"@context":"http:\/\/schema.org",						
"@id":"fraudulent-traffic",						
"@type":"Thing",						
"description":"Ad traffic that’s been generated by bots, malware, compromised devices, or other fraudulent means and is falsely masquerading as human traffic by visiting, viewing, and interacting with online ads.",						
"mainEntityOfPage":"http://wiki.fraudlogix.com/glossary/fraudulent-traffic/",						
"name":"fraudulent traffic",
"alternatename": ["fake traffic","invalid traffic","non-human traffic"]						

					
}
// ]]>
```

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			],
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			"@type":"Organization",
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	]
// ]]>
```

```json
// <![CDATA[
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  	"datePublished": "2018-10-09",
  	"description": "the percentage of fraudulent traffic from the ten countries (United Kingdom, United States, Spain, Brazil, Argentina, Mexico, France, Canada, Germany, Italy) with the highest volume of ad traffic observed.",
  	"name": "fraudulent traffic"
}
// ]]>
```

```json
// <![CDATA[
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  	"datePublished": "2018-10-09",
  	"description": "percentage of fraudulent traffic by device type (desktop device, mobile device, tablet device)",
  	"name": "digital ad traffic from fraudulent devices"
}
// ]]>
```