Book or paper recommendations in the field of Marketing and Advertising Statistics I come from a stats background, but am currently working in a marketing/advertising statistics setting. I would like to see how stats is applied to this field so I don't have to reinvent the wheel. I would love to see, for example, how mixed models are used to asses promotion effectiveness, if such material exists. Any resources to help me get grounded would be useful. 
 A: This book is quite well-reviewed, and has a bunch of interesting marketing case studies.

Rossi, Peter E., Greg M. Allenby, and Rob McCulloch. Bayesian
  statistics and marketing. John Wiley & Sons, 2012.

Two interesting papers I liked on online advertising and marketing which are a bit more statistical were: 

Brodersen KH, Gallusser F, Koehler J, Remy N, Scott SL. Inferring
  causal impact using Bayesian structural time-series models. Annals of
  Applied Statistics, 2015, Vol. 9, No. 1, 247-274.
  http://research.google.com/pubs/pub41854.html

and

Blake, Thomas, Chris Nosko, and Steven Tadelis. "Consumer
  heterogeneity and paid search effectiveness: A large‐scale field
  experiment." Econometrica 83.1 (2015): 155-174.

There's also some quite interesting research that comes out of Google and Facey on these topics, although again it's more focused on online stuff. See for instance:

Wang, Yueqing, et al. "A Hierarchical Bayesian Approach to Improve
  Media Mix Models Using Category Data." (2017).

or 

He, Xinran, et al. "Practical lessons from predicting clicks on ads at
  facebook." Proceedings of the Eighth International Workshop on Data
  Mining for Online Advertising. ACM, 2014.

