YEC member Stephen Gill recently launched Tiller, a platform that uses machine learning to optimize recommended-content ads. It helps publishers simplify their ad operations by first offering a powerful ad management solution that streamlines the process of hard-coding ads on their pages to accommodate native formats.
Where publishers previously spent countless hours and dollars manually managing tags and comparing data, Gill hopes to expedite this process.
Says Gill: "In my 10 years of experience working with digital publishers and building industry-leading advertising technology, I've watched native skyrocket and identified the gaps that hinder adoption. Tiller gives publishers one tag to rule them all-consolidating management of advertising partners into a single global site tag and freeing up resources to create excellent content and execute on analytics to maximize revenue."
Tiller's infrastructure serves from over 200,000 global end-points. Its lightweight tag management system and robust analytics allow for data-driven decisions and, ultimately, higher revenue. To top it off, Tiller is already serving over 100 publisher clients despite having launched just a few weeks ago.