Media Revenue Management with Audience Uncertainty: Balancing Upfront and Spot Market Sales

V. F. Araman, I. Popescu
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引用次数: 45

Abstract

An important challenge faced by media broadcasting companies is how to allocate limited advertising space between upfront (forward) contracts and the spot market (referred to in advertising as the scatter market) to maximize profits and meet contractual commitments. We develop stylized optimization models of airtime capacity planning and allocation across multiple clients under audience uncertainty. In a short-term profit maximizing setting, our results provide insight for capacity planning decisions upfront and during the broadcasting season. Our results suggest that broadcasting companies should prioritize upfront clients according to marginal revenue per audience unit. We find that accepted upfront market contracts can be aggregated across clients and served in proportion to the audience demanded. Closed-form solutions are obtained in a static setting. These results remain valid in a dynamic setting, when considering the opportunity to increase allocation by airing make-goods during the broadcasting season. Our structural results characterize the impact of contracting parameters, time, and audience uncertainty on profits and capacity decisions. The results hold under general audience and spot market profit models. Overall, we find that ignoring audience uncertainty can have a significant cost for media capacity planning and allocation.
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具有受众不确定性的媒体收益管理:平衡前期和现货市场销售
媒体广播公司面临的一个重要挑战是如何在前期(远期)合同和现货市场(广告中称为分散市场)之间分配有限的广告空间,以实现利润最大化并履行合同承诺。在受众不确定的情况下,我们开发了多客户端广播时间容量规划和分配的风格化优化模型。在短期利润最大化设置中,我们的结果为广播季节前期和期间的容量规划决策提供了洞察力。我们的研究结果表明,广播公司应该根据每观众单位的边际收入来优先考虑预付客户。我们发现,可接受的预先市场合同可以在客户之间汇总,并按受众需求的比例提供服务。在静态环境下得到封闭解。当考虑到在广播季节通过播放制成品来增加分配的机会时,这些结果在动态环境中仍然有效。我们的结构性结果描述了合同参数、时间和受众不确定性对利润和产能决策的影响。该结果适用于一般受众和现货市场盈利模式。总体而言,我们发现忽视受众的不确定性会给媒体容量的规划和分配带来巨大的成本。
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