Even state-of-the-art classifiers cannot achieve 100% precision.
Tag Archives: Computational Advertising
Predicting Marketing Performance from Early Attribution Indicators
DoorDash uses machine learning to determine where best to spend its advertising dollars, but a rapidly changing market combined with frequent delays in data collection hampered our optimization efforts.
Running Experiments with Google Adwords for Campaign Optimization
Running experiments on marketing channels involves many challenges, yet at DoorDash, we found a number of ways to optimize our marketing with rigorous testing on our digital ad platforms.
Optimizing DoorDash’s Marketing Spend with Machine Learning
Over a hundred years ago, John Wanamaker famously said “Half the money I spend on advertising is wasted; the trouble is, I don’t know which half”.