Multichannel Advertising: Budget Allocation in the Presence of Spillover and Carryover Effects

Huijun Chen (), Ying-Ju Chen (), Sung-Hyuk Park () and Dongwook Shin ()
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Huijun Chen: Department of Marketing, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
Ying-Ju Chen: Department of Information Systems, Business Statistics and Operations Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
Sung-Hyuk Park: College of Business, Korea Advanced Institute of Science and Technology, Hoegi-ro, Dongdaemun-gu, Seoul 02455, Republic of Korea
Dongwook Shin: Department of Information Systems, Business Statistics and Operations Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong

Manufacturing & Service Operations Management, 2025, vol. 27, issue 3, 862-880

Abstract: Problem definition : This paper explores budget allocation strategies for a multichannel ad campaign, where a marketing agency strives to maximize the total conversions by dynamically adjusting budget allocation over marketing channels. A salient feature of the problem is the interplay of spillover and carryover effects; namely, customers are exposed to ads through multiple channels, and thus ads from one channel affect the effectiveness of the subsequent ads from other channels. Methodology/results : We construct a simple model that captures the essential features of this problem. Our theoretical analysis yields two main insights. First, motivated by common practice based on the last-click attribution method, we examine a class of budget allocation policies that are oblivious to the spillover and carryover effects. If the agency decreases the budget on a channel based on past low conversions while neglecting to account for the fact that the ads from that channel induced conversions through other channels, then the conversions from that channel will decrease. Consequently, the agency will further decrease the budget on the channel. This pattern repeats, eventually leading to suboptimal performance in the long run. Second, we derive a fluid approximation to consumer dynamics across multiple channels, which lends itself to characterizing structural properties of optimal dynamic budget allocation policies that internalize the cross-channel interactions. To enable practical implementation, we propose a static budget allocation policy that is both tractable in practice and near optimal for long campaigns. Managerial implications : Our theoretical results provide normative guidance for budget allocation in multichannel ad campaigns. We illustrate the efficacy of our proposed method through a numerical study based on data from an online multichannel ad campaign.

Keywords: budget allocation; multichannel advertising; dynamic programming; fluid approximation (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormsom:v:27:y:2025:i:3:p:862-880

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