Featured work from Ranjan Dasgupta across programmatic advertising, CTV monetization, and Web & App monetization at scale.
Problem
Fragmented monetization across Web, App, and CTV platforms with no single stack for yield and demand optimization.
Strategy
Built end-to-end unified stack with header bidding, demand optimization, and floor pricing across all three surfaces.
Results
$200M+ revenue · Unified across 3 platforms · 5+ years sustained scale
Problem
Convergence of traditional web exchange with emerging CTV formats and buyer expectations.
Strategy
2030 product roadmap for exchange infrastructure and Agentic AI convergence. Cross-platform architecture and measurement.
Results
Exchange strategy defined · AI integration roadmap · Cross-platform architecture
Problem
Gap between AI capabilities and advertising technology application for decisioning and optimization.
Strategy
Platform at the intersection of Agentic AI and ad tech: audit tools, AI demo sandbox, and future-focused ad products.
Results
Live platform (adsgupta.com) · Audit tools · AI demo sandbox