Abstract
Marketing attribution is the process of allocating appropriate credit to each marketing touchpoint a customer has encountered before conducting the desired customer action, e.g., a purchase. Ideally, this credit should be capturing the incremental effect of the touchpoint on the customer action. Finding this incremental effect is relevant for marketers to decide on budget allocations and to decide how, when, and where to target which customer. This chapter introduces and discusses various marketing attribution techniques. The techniques range from basic attribution techniques, like touch-based attribution and Shapley values, to advanced attribution techniques, like randomized field experiments and Markov chains. The chapter discusses the up- and downsides of each attribution technique, discusses alternative methods if one method is inappropriate, and links this to the concept of incrementality and causality, i.e., to which degree the technique gives proper credits to the different channels or touchpoints the customer has encountered. This chapter is accompanied by the necessary R-scripts to generate the datasets and estimate the attribution techniques, which can also be downloaded at http://www.evertdehaan.com.
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de Haan, E. (2022). Attribution Modeling. In: Homburg, C., Klarmann, M., Vomberg, A. (eds) Handbook of Market Research. Springer, Cham. https://doi.org/10.1007/978-3-319-05542-8_39-1
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DOI: https://doi.org/10.1007/978-3-319-05542-8_39-1
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