In this paper we address the problem of inferring marketing channel importance for the customerudjourney to online purchase, using sequential data analysis ideas. We suggest a method for inferringudthe relative value of channels using historical data. We propose metrics for source, intermediary, anduddestination channels based on two- and three-step transitions in fragments of the customer journey. Weudcomment on the difficulties of formal hypothesis testing. We illustrate the ideas and computations usinguddata from a major UK online retailer.
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