🆚 MGID vs. Outbrain

Compare technologies based on real-world usage data *

Type

Advertising technology
Advertising technology

About

MGID is a performance-driven platform for real-time buying, selling and management of native ads.

Outbrain is a content discovery and native advertising platform that helps advertisers promote sponsored content and recommendations on publisher sites.

It uses AI-driven targeting to deliver native ads and personalized content recommendations, supports multiple ad formats including native, carousel, video and app install ads, offers audience segmentation and real-time optimization, and serves billions of impressions monthly across more than 55 countries.

Headquarters

Santa Monica, California, United States
New York, United States

Website

Pricing

Revenue share70%

Categories

Advertising › Rank #39
Advertising › Rank #22

Popularity

Determined by the number of sites using each technology.

Outbrain advertising technology is 1.9 times more popular than MGID.
Total websites

Market share

Advertising

Popularity by country

Determined by the number of sites detected from each country.

Outbrain is more popular in the United States, Germany, and Turkey, while MGID is more popular in Indonesia, Brazil, and India.
United States
Germany
Turkey
United Kingdom
Italy
France
Indonesia
Israel
Brazil
India

Awards

Popularity by domain category

Determined by the number of sites in each category.

Outbrain is more popular than MGID in all market segments.
General News
Online Shopping
Business
Blogs/Wiki
Sports
Marketing/Merchandising
Entertainment
Fashion/Beauty
Finance/Banking
Internet Services

Top sites

Top-ranked sites that use these technologies.

Name
Rank
xoso.com.vn
#820
#1,448
View more ➝
Name
Rank
View more ➝

See also

* According to recent studies, many of online reviews are fake.
When making your decision, it is better to rely on data that cannot be falsified.
Our service evaluates the popularity of technologies by the number of websites using them.

Statistics were last calculated on .
For details, see our methodology and disclaimer.