datafuelX

datafuelX: Engineer Better Outcomes

Do you love to see ads for products you need, but didn’t know existed?

Do you wonder how it made its way to you and curious about how to improve the ad experience in the future?

Media companies, agencies and marketers are continually looking for new audiences to drive revenue growth, while also ensuring their message gets to the right customer at the right time.
Most solutions in market today look to the PAST to show what ads were delivered to what audiences, coupled with context around “why” campaigns over- or under-performed.

datafuelX looks to the FUTURE, providing two modern, plug-n-play optimization solutions that PREDICT and FORECAST where target audiences will be tuning in, enabling clients to unlock the full value of their ad inventory.
outcomeX: Powered by aggregated consumer behavior and outcome data sets, combined with audience compositions across the linear TV landscape, this model builds FUTURE- looking estimates for outcome behaviors by program and daypart for specific networks. This allows publishers and marketers to build modernized, focused, optimized campaign schedules based on forecasted outcomes and predicted FUTURE behaviors.
precisionX: Based on the foundations of outcomeX, this data-agnostic convergence tool for video advertising dynamically manages reach and frequency. It uses best-in-class linear audience models and extends the solution to other premium video advertising channels such as addressable or digital. By modeling individual viewership characteristics and incorporating real-time ad exposure data, this model uses consumer ID data to target outside traditional linear spend to other inventory types.

datafuelX is headed by media industry veterans Jay Amato, President, the former General Manager of OpenAP; Howard Shimmel, Head of Strategy, President of Janus Strategy and Insights and former Chief Research Officer at Turner Broadcasting; and Spencer Lambert, Manager, Product and Partnership Success, formerly with Horizon Media, along with a data science & engineering team with years of media industry experience.