按广告产品、漏斗指标和品牌规模对零售媒体进行数据驱动的预算分配

IF 4 Q2 BUSINESS Journal of Marketing Analytics Pub Date : 2024-03-01 DOI:10.1057/s41270-024-00294-2
Vivian Qin, Koen Pauwels, Bobby Zhou
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引用次数: 0

摘要

亚马逊网站等在线市场上的卖家使用各种零售和零售媒体广告服务来提高品牌业绩,包括知名度、考虑度和收入。但他们如何衡量自己的进展并推动这些指标的实现呢?针对 122,000 个品牌,我们测量了亚马逊购物者的品牌认知度、考虑度和购买量,并测试了它们如何随广告和零售行动而变化。此外,我们还将这些品牌过去的媒体组合与基于模型系数的推荐分配进行了比较。我们发现,新产品发布和上层渠道零售媒体广告对小品牌尤为有效。中型和大型品牌则从下漏斗广告中获益最多。在漏斗阶段,所有三个指标都能从新评论数量、折扣百分比、否定关键词和地理推广活动中获益。在不同的产品类别中,这些结果都是稳健的,但我们发现上层和中层漏斗广告产品在促进销售方面存在明显差异。
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Data-driven budget allocation of retail media by ad product, funnel metric, and brand size

Sellers on online marketplaces such as Amazon.com use a variety of retail and retail media advertising services to improve their brand performance, including awareness, consideration, and revenue. But how can they measure their progress and drive these metrics? For 122,000 brands, we measure Amazon shoppers’ brand awareness, consideration, and purchases and test how they change with ad and retail actions. Furthermore, we compare these brands’ past media mix with the recommended allocation based on the model’s coefficients. We find that new product launches and upper-funnel retail media advertising are particularly effective for small brands. Medium-sized and large brands benefit most from lower-funnel advertising. For the funnel stages, all three metrics benefit from the number of new reviews, % discount, negative keywords, and geo-reach campaigns. These results are robust across different product categories, but we find notable differences in how upper- and middle-funnel ad products succeed in driving sales.

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来源期刊
CiteScore
5.40
自引率
16.70%
发文量
46
期刊介绍: Data has become the new ore in today’s knowledge economy. However, merely storing and reporting are not enough to thrive in today’s increasingly competitive markets. What is called for is the ability to make sense of all these oceans of data, and to apply those insights to the way companies approach their markets, adjust to changing market conditions, and respond to new competitors. Marketing analytics lies at the heart of this contemporary wave of data driven decision-making. Companies can no longer survive when they rely on gut instinct to make decisions. Strategic leverage of data is one of the few remaining sources of sustainable competitive advantage. New products can be copied faster than ever before. Staff are becoming less loyal as well as more mobile, and business centers themselves are moving across the globe in a world that is getting flatter and flatter. The Journal of Marketing Analytics brings together applied research and practice papers in this blossoming field. A unique blend of applied academic research, combined with insights from commercial best practices makes the Journal of Marketing Analytics a perfect companion for academics and practitioners alike. Academics can stay in touch with the latest developments in this field. Marketing analytics professionals can read about the latest trends, and cutting edge academic research in this discipline. The Journal of Marketing Analytics will feature applied research papers on topics like targeting, segmentation, big data, customer loyalty and lifecycle management, cross-selling, CRM, data quality management, multi-channel marketing, and marketing strategy. The Journal of Marketing Analytics aims to combine the rigor of carefully controlled scientific research methods with applicability of real world case studies. Our double blind review process ensures that papers are selected on their content and merits alone, selecting the best possible papers in this field.
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