Redmob operates a programmatic advertising exchange that connects in-app publishers directly with advertisers, filtering out wasted requests and fake traffic before bids are placed. The platform uses machine learning to score every impression based on buyers' past wins, ensuring advertisers pay only for real users in real apps. It provides transparent reporting that tags each won impression with the reason it won, such as app, geo, format, user, or price.
Funding
Funding not disclosed
Founders
Product
Problem
In-app publishers and advertisers face significant revenue loss from wasted ad requests, fake traffic from bots and VPNs, and opaque reporting that obscures why ads were purchased. These issues reduce monetization efficiency and undermine trust in programmatic advertising transactions.
Solution
Redmob operates a programmatic advertising exchange that sits between the app and the buyer, scoring every request before it goes out to ensure only viable impressions reach bidders. The platform filters out bots, VPNs, hosting IPs, and reset device IDs in milliseconds, guaranteeing that every impression represents a real person. Redmob's self-tuning machine learning model learns from every auction win and loss, adapting to buyer behavior without requiring manual threshold maintenance. The platform also provides transparent reporting that tags each won impression with the reason it won—app, geo, format, user, or price—so publishers understand what drives bids and can adjust traffic accordingly.
Target Audience
Primary customers are in-app publishers and supply-side platforms seeking higher monetization yields, as well as demand-side platforms and ad exchanges looking for verified human traffic and transparent auction data.
Features
- Pre-bid filtering that scores every request based on buyers' past wins rather than static rules, eliminating wasted requests before they reach demand partners
- Real-time fraud detection that drops bots, VPNs, hosting IPs, and reset device IDs in milliseconds before requests reach buyers
- Self-tuning machine learning model that retrains on every auction win and loss, requiring no manual threshold configuration
- Transparent reporting that tags each won impression with the reason it won (app, geo, format, user, price) to explain bid drivers
- Supports OpenRTB 2.5 and 2.6 protocols with sellers.json and IAB TCF certification for compliance and direct supply chain transparency