ABSTRACT
We develop an approach for measuring the effectiveness of online display advertising at the campaign level. We present a Kalman filtering approach to deseasonalize and estimate the percentage changes of online sales on a daily basis. For this study, we analyze 3828 campaigns for 961 products on the Advertising.com network.
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Index Terms
- Measuring the effectiveness of display advertising: a time series approach
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