MediaMath
17 Case Studies
A MediaMath Case Study
MediaMath partnered with Skylads to support an international restaurant chain’s high-volume promotional campaigns across the US. The brand ran multi-strategy campaigns in English and Spanish targeting diverse ages, locations and interests, and measured success by massive reach and precise impression delivery at an ambitious CPM—creating scalability and bidding-performance challenges that required automated optimization.
Skylads’ R.Skott.io™, a machine-learning engine, worked alongside MediaMath’s bidding algorithm (The Brain) to analyze strategy- and campaign-level performance and adjust bids, frequency caps and pacing hourly. R.Skott.io dynamically shifted budgets to buy at lower CPMs, improve delivery and reach, and helped the campaigns meet target budget delivery and CPM ranges.