Optimizing TV Ad Spend

Optimizing TV ad spend

Business Goal:

To optimize TV commercial spends by synchronizing TV commercial spots (offline) and paid search campaigns (online) to identify best performing slots.

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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.

Real Time Ad detection and attribution

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