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Lookalike audiences(相似受众 / 扩量人群)

亚马逊说 lookalike,一般指 AMC 那条路:用 SQL 圈出 500 到 500,000 个 user_id 当种子,模型扩出相似人群,再拿去 DSP 和 Sponsored Display 定向、在 SP 和 SB 里做提价;但它不是唯一一条路——DSP 自己也会扩量,而且默认就开着。

AMC 的 lookalike 是用 SQL 圈 500–500,000 个 user_id 做种子扩量,再去 DSP/Sponsored Display 定向、在 SP/SB 提价;亚马逊未公开模型特征或 lift 基准。最容易翻车的是种子数:query editor 里数出来的和模型拿到的不是一个数——亚马逊写明只有 adUserId 可定向、90% 覆盖率是限制完整人群规模的重要因素,已 opt-out 的用户和被判定为儿童的用户会剔除,还提醒超过 500 的种子若不在 matched population 里照样会被判「太小」,几小时后才在 statusReason 里报 FAILED。所以种子放到几千,从 MOST_SIMILAR 起步;五档是绝对区间且层层包含,往上调是稀释不是换人。同步 2–24 小时,refreshRateDays 只收 7 到 21。另外 DSP 的 Reach similar audiences 是另一回事,按亚马逊帮助文档它默认自动打开。

关键数字

费率与规则以官方英文原文为准,保留原文:

  • AMC lookalike seeds must resolve to between 500 and 500,000 user_id values, and the 2,000-record minimum often quoted alongside is Amazon's documented floor for plain rule-based audiences on the same page — not for lookalike seeds.
  • Size comes from the required lookalikeAudienceExpectedReach parameter — five absolute, region-dependent, cumulative tiers rather than a percentage dial, running from MOST_SIMILAR 500K–1M to MOST_BROAD 3M–10M in Europe and the Americas (Ads API docs, checked September 2026).
  • Amazon DSP's 'Reach similar audiences' is a separate feature — no AMC instance or SQL, it just expands an ad group's existing audiences — and Amazon's DSP targeting help page says it now turns on automatically once you add an audience.

官方来源:Amazon Ads API — Rule-based lookalike audiences (AMC) · Amazon Ads API — AMC rule-based audience creation · Amazon Ads Support — Rule-based lookalike audiences (tier nesting, matched-population failure)

本词条另有英文完整版