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Data-driven budget allocation of retail media by ad product, funnel metric, and brand size

Author

Listed:
  • Vivian Qin

    (Amazon Ads)

  • Koen Pauwels

    (Amazon Ads)

  • Bobby Zhou

    (Amazon Ads)

Abstract

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.

Suggested Citation

  • Vivian Qin & Koen Pauwels & Bobby Zhou, 2024. "Data-driven budget allocation of retail media by ad product, funnel metric, and brand size," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 235-249, June.
    • Handle: RePEc:pal:jmarka:v:12:y:2024:i:2:d:10.1057_s41270-024-00294-2
    DOI: 10.1057/s41270-024-00294-2
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