Bayesian forecasting and dynamic models (2nd ed.)
Bayesian forecasting and dynamic models (2nd ed.)
Measuring dynamic effects of display advertising in the absence of user tracking information
Proceedings of the Sixth International Workshop on Data Mining for Online Advertising and Internet Economy
Dynamic effects of ad impressions on commercial actions in display advertising
Proceedings of the 21st ACM international conference on Information and knowledge management
Dynamic evaluation of online display advertising with randomized experiments: an aggregated approach
Proceedings of the 22nd international conference on World Wide Web companion
| Hi-index | 0.00 |
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.