🆚 Yieldlab vs. Yieldlove

Type

Advertising technology
Advertising technology

About

Yieldlab is a German supply-side platform that enables publishers and media companies to automate real-time monetization of digital advertising inventory across programmatic channels.

It provides yield optimization, private marketplace management, header bidding, and cross-channel monetization for display, mobile, video, and connected TV.

Read more…

Yieldlove is a programmatic advertising and revenue optimization platform that helps publishers maximize advertising yield across display, AMP, and in-app inventory through managed header bidding and ad stack optimization.

The platform combines proprietary machine learning-based yield optimization, multi-SSP header bidding, dynamic floor pricing, business intelligence tools, and access to premium demand partners.

Read more…

Headquarters

Freiburg im Breisgau, Germany
Hamburg, Germany

Website

Categories

Advertising › Rank #97
Advertising › Rank #163

Popularity

Determined by the number of sites using each technology.

Yieldlab advertising technology is 5 times more popular than Yieldlove.
Total websites

Market share

Advertising

Popularity by country

Determined by the number of sites detected from each country.

Yieldlab is more popular than Yieldlove in all countries.
Germany
France
United Kingdom
Italy
United States
Poland
Spain
Netherlands
Switzerland
Austria

Awards

Popularity by domain category

Determined by the number of sites in each category.

Yieldlab is more popular among sites focused on online shopping, fashion and beauty, and business, while Yieldlove is more commonly used on blogs and wiki, education and reference, and sports sites.
Online Shopping
Fashion/Beauty
Business
Marketing/Merchandising
Blogs/Wiki
Travel
Real Estate
Finance/Banking
Health
Entertainment

Top sites

Top-ranked sites that use these technologies.

Name
Rank
nesine.com
#662
#2,417
#2,596
#2,831
#2,894
View more ➝
Name
Rank
#3,568
#3,642
#3,653
#9,600
View more ➝

See also

🗃️ About This Data