Yugen.ai

The client is one of the leading global players in the mobile advertising and app monetization space. It facilitates running offers for advertising companies across multiple platforms in its partner network. This in turn helps both advertisers as well as publishers in customer acquisition and retention. The client has operations in more than 100 countries with 15M+ daily active users who complete 80M+ advertiser offers daily through its interface on publisher mobile applications. The carrot used by advertisers for users to complete offers is rewards in the form of in-app currency or dollars. The client had multiple product lines which catered to multiple types of offers like Videos, Shopping Offers etc. All of these offers compete against each other to get user attention. However, just getting user attention isn’t enough. To get the most out of the interaction, the user has to complete the offer. Some of these offers are lengthy or complex offering substantial rewards whereas some of the offers are simpler offering lower rewards. Some users drop off during the attempt, some may be disqualified by the advertiser whereas some others may try to game the system. As an Ad-network, the client had to show contextually relevant offers to these users to improve the probability of conversion and hence monetization rates Yugen.ai team built a real-time recommendation engine which shows personalized Advertisements to users from an AD inventory of 1000's of Advertisements. The system was exposed as an API hosted on AWS supported by state of the art business intelligence, explainability & monitoring framework along with a dedicated feature store.