研究搜索引擎广告中厂商与零售商的动态合作策略,对比有无竞争时的最优广告方案。
Dynamic Cooperative Strategies in Search Engine Advertising Market: With and Without Retail Competition
- 构建动态质量分下的双场景合作广告模型,支持直接与间接广告补贴。
- 发现质量分和毛利率变化会显著影响最优广告投入与利润分配。
- 适合电商运营、数字营销决策者参考,尤其关注渠道竞争的场景。
在搜索引擎广告(SEA)市场中,零售商间竞争激烈且多维度,厂商与零售商之间的渠道协调成为影响广告策略效果的关键因素。本文通过建模两种合作广告决策场景,为SEA环境下的协同广告提供管理指导。场景一为单一制造商与零售商组成的简单合作渠道;场景二则引入一个独立零售商,与前一场景中的制造商-零售商联盟形成竞争。提出一种新型合作广告优化模型,允许制造商通过直接投放SEA广告或资助其零售商实现间接广告。为凸显SEA特性,模型引入动态质量得分,并设定有限时间周期。在两个场景中均推导出各参与方最优策略的可行均衡解。进一步通过数值实验对质量得分和毛利进行敏感性分析,并探讨了场景二中竞争零售商初始市场份额的影响。最终揭示零售竞争如何改变合作联盟的最优策略及渠道绩效。基于均衡与数值分析所得结论,为参与SEA协同广告的各方提供了关键洞见。
原文摘要 · Abstract (English)
In search engine advertising (SEA) market, where competition among retailers is intense and multifaceted, channel coordination between retailers and manufacturers emerges as a critical factor, which significantly influences the effectiveness of advertising strategies. This research attempts to provide managerial guidelines for cooperative advertising in the SEA context by modeling two cooperative advertising decision scenarios. Scenario I defines a simple cooperative channel consisting of one manufacturer and one retailer. In Scenario II, we consider a more general setting where there is an independent retailer who competes with the Manufacturer-Retailer alliance in Scenario I. We propose a novel cooperative advertising optimization model, wherein a manufacturer can advertise product directly through SEA campaigns and indirectly by subsidizing its retailer. To highlight the distinctive features of SEA, our model incorporates dynamic quality scores and focuses on a finite time horizon. In each scenario, we provide a feasible equilibrium solution of optimal policies for all members. Subsequently, we conduct numerical experiments to perform sensitivity analysis for both the quality score and gross margin. Additionally, we explore the impact of the initial market share of the competing retailer in Scenario II. Finally, we investigate how retail competition affects the cooperative alliance's optimal strategy and channel performance. Our identified properties derived from the equilibrium and numerical analyses offer crucial insights for participants engaged in cooperative advertising within the SEA market.
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