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Incrementality(增量 / 增量测试)

Incrementality 指的是这笔成交到底是不是广告多带来的:用曝光组和一个条件相当的未曝光对照组做差,看增量销量、lift 百分比或 incremental ROAS,而不是后台归因出来的那串销售额。

账户里 ACOS 最漂亮的那条线,往往增量最差:last touch 只认最后一次点击或曝光,防御性品牌词和 retargeting 天生就坐在离下单最近的位置。要看因果只能靠对照组:Brand Lift 用 Amazon Shopper Panel 向曝光组和未曝光组发问卷,比两边回答率之差,但测的是品牌认知不是销量,也不含 Sponsored Products;AMC 里“曝光 vs 未曝光”的 SQL 是观察性对比,不是实验,未曝光的人正是竞价系统主动不投的,lift 只会虚高。真 holdout 要先随机再屏蔽投放,这属于 DSP 的能力,DSP 受众要满 2,000 匹配用户才激活,Sponsored Products 没有受众排除,只能退到分区域、分时段或对照 ASIN 看总销量;两周、单 ASIN 什么都测不出来。

关键数字

费率与规则以官方英文原文为准,保留原文:

  • Amazon states its standard attribution is last touch — one conversion credited to a single ad click or view — and its multi-touch alternative, which divides credit among earlier ads using experiments and machine learning, is a US beta shown alongside the last-touch metrics.
  • Amazon Brand Lift is survey-based — it surveys an ad-exposed audience and an unexposed control through the Amazon Shopper Panel and reports absolute lift as the difference in response rates — and it measures brand perception, not sales, with Sponsored Products ineligible.
  • Amazon DSP requires at least 2,000 matched audience members before an audience becomes active, and AMC privacy rules never return user_id in workflow output and require at least 100 distinct users per output row for medium- and high-sensitivity columns.

官方来源:Amazon Ads - Multi-touch attribution (beta): last-touch definition and beta scope · Amazon Ads - Brand Lift (exposed vs. unexposed control methodology) · Amazon Ads API - AMC data aggregation thresholds

本词条另有英文完整版