Google ads on mobile devices have an advantage over those on desktop browsers because they have fewer technical challenges and can be customized to work on different devices, according to a new study.
The study, published by the Internet Advertising Bureau, is the first to show how ad targeting differs based on devices.
It was funded by Google and its partners, including Facebook, but it was funded in part by the nonprofit nonprofit group Demand Progress.
Advertisers have been using ad technology to target users to their websites since at least 2010, when Google launched the YouTube Video Search tool and began offering it to advertisers.
Ads on YouTube are based on YouTube videos and videos are uploaded to YouTube as well as the Google Play Store and the Google Cloud Platform, a cloud service where users upload and watch videos.
The video search tool lets advertisers target their ads based on user behavior, including the videos viewed, the times watched, and the duration of the videos.
The new study, titled “Advertiser targeting on YouTube video search: How Google and Facebook differentiate and contrast?” analyzed ads from YouTube’s ad network, AdSense, and from Google’s AdMob, a mobile ad service.
It found that Google ads were significantly more accurate than those on YouTube and that advertisers had more control over the ad placement and placement times of ads on YouTube.
The results showed that YouTube ads had an edge because of the fact that they were easier to customize and could be tailored to specific devices.
Google ads also had lower costs because the ads were tailored to mobile devices, which were easier for advertisers to target.
Advertising dollars have risen from $13 billion in 2010 to $26 billion in 2017, according the study.
The study found that mobile ad spending has doubled since then, to $1.3 billion.
The ad networks have come under increasing criticism over their practices and lack of transparency, especially after it was revealed in 2016 that AdSense used its network to charge publishers hundreds of thousands of dollars for clicks and retargeting.
The issue of online manipulation has become particularly sensitive following a series of high-profile ad fraud cases.
Ads that appear to target viewers based on their behavior are often designed to get users to click on ads or to open pages that are not actually ads.
In a 2015 study published in the journal Science, researchers identified a set of ads that appeared to target Facebook users based on the behavior of the users’ friends and family members, but that were actually designed to trick Facebook users into clicking on a link that led to an advertisement for a product that was not a Facebook product.
The researchers found that when users clicked on the ads, they were redirected to a page that was only displayed on Facebook, rather than the actual ad.
The same researchers found in 2016 another group of ads designed to appear to be from a company called Affinity Analytics that was supposed to be targeting users based off the behavior and purchases of their friends and acquaintances.
But the research showed that the same group of videos were also placed on YouTube, but were actually aimed at Facebook users, rather like the first group of YouTube ads.
The ads have become a major headache for advertisers, who often find that they have to pay for ad placement time to get the ads to appear.