To optimize TV commercial spends by synchronizing TV commercial spots (offline) and paid search campaigns (online) to identify best performing slots.
For more information, contact us
The client’s online and offline campaigns were not coordinated and they were unable to understand the ROI on their TV commercial spends.
A proprietary machine learning attribution algorithm was designed to analyze 3500 ads, each with distinct baseline and viewership patterns. A technology stack that used HDFS, Flask, MongoDB, AWS was used.