類似目標對象區隔
透過集合功能整理內容
你可以依據偏好儲存及分類內容。
您可以使用類似區隔，指定與其他使用者相似且特徵相同的使用者。類似區隔是根據第一方資料建立，例如曾購買特定產品或使用特定服務的顧客名單。
如要進一步瞭解相似區隔，請前往 Google Ads 說明中心。
建立使用者清單
建立類似使用者名單的程序，與建立其他UserList類型名單的程序相同。如要建立類似目標對象使用者名單，請使用 UserListService，並透過 LookalikeUserListInfo 物件設定 lookalike_user_list 欄位。
LookalikeUserListInfo 是根據現有目標對象區隔建立，建立類似區隔時，您需要在 seed_user_list_ids 欄位中傳遞這些現有目標對象區隔。
需求條件
所有種子名單加總必須包含至少 1,000 位符合指定條件的活躍使用者。
將 expansion_level 設為 NARROW、BALANCED 或 BROAD，即可設定目標相似區隔的大小。如要瞭解各個等級的詳細資訊，請前往說明中心。
最佳做法
建立新廣告活動後，可能需要一段時間，類似區隔才能有效運作。建議您提前 2 到 3 天建立廣告活動和類似區隔，確保類似區隔在廣告開始放送時可供使用。
系統會根據可用的顧客數位資料，每 1 到 2 天自動更新類似區隔。如果未達到最低活躍使用者人數，系統最多可能需要 3 天的時間，才能反映類似區隔不符合規定，並停止指定潛在顧客。查詢 user_list.size_range_for_display 和 user_list.size_range_for_search，確認使用者清單有足夠的使用者。
程式碼範例
建立及指定類似目標對象使用者名單的程序，與建立rule_based_user_list類似。您可以找到建立及指定rule_based_user_list的範例程式碼，並根據網站訪客調整為類似使用者名單。
如要收集目標對象區隔的成效資料，請對 ad_group_audience_view 或 campaign_audience_view 資源發出搜尋要求。舉例來說，您可以查看conversions或cost_per_conversion，判斷指定目標目標對象區隔是否確實帶來更多轉換，然後據此調整出價調整幅度。
SELECT
ad_group_criterion.criterion_id,
metrics.conversions,
metrics.cost_per_conversion
FROM ad_group_audience_view
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上次更新時間：2025-08-27 (世界標準時間)。
[null,null,["上次更新時間：2025-08-27 (世界標準時間)。"],[[["\u003cp\u003eLookalike segments allow you to target potential customers similar to your existing customer base using first-party data for Demand Gen campaigns.\u003c/p\u003e\n"],["\u003cp\u003eCreating Lookalike segments involves providing seed user lists with a minimum of 1,000 active matched people and specifying an expansion level (Narrow, Balanced, or Broad).\u003c/p\u003e\n"],["\u003cp\u003eFor optimal performance, it is recommended to create your campaign and Lookalike segment 2-3 days in advance to allow for data processing.\u003c/p\u003e\n"],["\u003cp\u003eLookalike segments refresh automatically, but require a minimum active user count, and performance can be monitored using ad_group_audience_view or campaign_audience_view resources.\u003c/p\u003e\n"],["\u003cp\u003eYou can find additional information and expansion level details in the Google Ads Help Center.\u003c/p\u003e\n"]]],[],null,["# Lookalike audience segments\n\nYou can target audiences that are similar and share characteristics with others\nusing Lookalike segments. Lookalike segments are built from first-party data,\nfor example, a list of customers who have purchased specific products or used\nspecific services.\n| **Important:** Lookalike segments are only available for Demand Gen campaigns.\n\nYou can learn more about Lookalike segments in the [Google Ads Help\nCenter](//support.google.com/google-ads/answer/13541369).\n\nCreate the user list\n--------------------\n\nCreating a Lookalike user list follows the same process of creating other\n[`UserList`](/google-ads/api/reference/rpc/v21/UserList) types. Lookalike user lists are created\nwith the [`UserListService`](/google-ads/api/reference/rpc/v21/UserListService) by setting the\n[`lookalike_user_list`](/google-ads/api/reference/rpc/v21/UserList#lookalike_user_list) field with a\n[`LookalikeUserListInfo`](/google-ads/api/reference/rpc/v21/LookalikeUserListInfo) object.\n\n[`LookalikeUserListInfo`](/google-ads/api/reference/rpc/v21/LookalikeUserListInfo) is created based\non existing audience segments. When creating a Lookalike segment, you need to\npass these existing audience segments in the `seed_user_list_ids` field.\n\n### Requirements\n\n1. The sum of all seed lists must include a minimum of 1,000 active matched\n people.\n\n2. Set the [`expansion_level`](/google-ads/api/reference/rpc/v21/LookalikeExpansionLevelEnum) to\n `NARROW`, `BALANCED`, or `BROAD` to configure the size of the lookalike\n segment. Find details on each level in the [Help\n Center](//support.google.com/google-ads/answer/13541369).\n\n### Best practices\n\nIt could take some time after creating your new campaign before you can\neffectively use your Lookalike segment. As a best practice, we recommend\ncreating your campaign and Lookalike segment two to three days in advance to\nhelp ensure that it's ready when you want to start serving ads.\n\nLookalike segments refresh automatically every 1-2 days based on your available\ncustomer data. If the minimum count of active users is not met, it could take up\nto 3 days for your Lookalike segment to reflect the failed seed list requirement\nand stop targeting potential customers. Check that your user list has enough\nusers by querying for\n[`user_list.size_range_for_display`](/google-ads/api/fields/v21/user_list#user_list.size_range_for_display)\nand\n[`user_list.size_range_for_search`](/google-ads/api/fields/v21/user_list#user_list.size_range_for_search).\n\n### Code example\n\nThe process of creating and targeting a Lookalike user list is similar to\ncreating a `rule_based_user_list`. You can find example code to create and\ntarget a `rule_based_user_list`, which can be adapted to a Lookalike user list,\nin [Visitors to your\nwebsite](/google-ads/api/docs/remarketing/audience-segments/website-visitors).\n\nReview list performance\n-----------------------\n\nIn order to collect performance data for your audience segments, issue a search\nrequest against the [`ad_group_audience_view`](/google-ads/api/fields/v21/ad_group_audience_view)\nor the [`campaign_audience_view`](/google-ads/api/fields/v21/campaign_audience_view) resource.\nFor example, you might look at the `conversions` or `cost_per_conversion` to\ndetermine if targeting the audience segment is actually leading to more\nconversions, then adjust your bid modifiers accordingly. \n\n SELECT\n ad_group_criterion.criterion_id,\n metrics.conversions,\n metrics.cost_per_conversion\n FROM ad_group_audience_view"]]
