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本頁面說明如何透過 Cortex Looker Block 取得跨媒體和產品連結洞察資料。有了這個 Looker Block，您就能將多個付費媒體平台 (包括 Google Ads、Meta、TikTok 和 YouTube (搭配 DV360)) 的廣告活動資料，透過 Google Cloud Cortex Framework for Marketing 提供的預先封裝擷取管道和報表檢視畫面，匯入 BigQuery，全面掌握廣告活動支出和成效。
這個管道也提供選項，可使用 Vertex AI 上的 Gemini 文字生成模型，將媒體廣告活動的文字表示與單一產品階層節點相符。舉例來說，名為「BMX - Reels - Reach」的廣告活動會與產品階層節點 ['Fitness & Sports', 'Bicycles', 'Special Bikes','BMX Bikes'] 相符。
查看與特定產品類別和產品相關的廣告活動，在各個平台上的曝光次數和點擊次數高階明細。
可用的深入分析資訊
Cortex Framework 中的 Looker Block for Cross Media & Product Connected Insights 提供下列洞察資訊。
概略瞭解高層級成效和參與度指標，包括：
- 曝光總數
- 總點擊次數
- 點閱率 (CTR)
- 總費用
- 千次曝光出價 (CPM)
- 單次點擊出價 (CPC)
- 按月和媒體平台劃分的支出
- 每月累計總支出，以及各媒體平台的支出
- 依時間順序顯示的廣告活動
- 各媒體平台、廣告活動和國家/地區的曝光次數、點擊次數、點閱率和每千次曝光出價
- 依廣告活動和國家/地區顯示詳細成效
必要資料
如要取得這個區塊所需的 BigQuery 資料集，請按照 Cortex Framework 的安裝說明操作。
存放區
如要存取 Cortex Looker Block for Cross Media & Product Connected Insights，請前往官方 GitHub 存放區：block-cortex-cross-media。這個存放區包含必要的檢視畫面、探索和資訊主頁，可讓您將資料順暢整合至 Looker 環境。這些資源可做為基礎，協助您建立符合特定需求的自訂報表、視覺化效果和資訊主頁。
部署作業
如需瞭解如何部署 Cortex Looker Block，以取得跨媒體和產品連結洞察資料，請參閱「部署 Cortex Framework 的 Looker Block」。
其他注意事項
如要提升 Looker Block for Cross Media & Product Connected Insights 的效能和功能，請考慮下列事項：
- Liquid 範本語言：部分常數、檢視區塊、Explore 和資訊主頁會使用 Liquid 範本語言。詳情請參閱 Looker 的 Liquid 變數參考資料說明文件。
- 取消隱藏其他維度和指標：為簡化畫面，許多維度和指標都會隱藏。如果發現缺少任何有價值的項目，請在相關檢視畫面中，將欄位的
hidden 參數值設為 No。
除非另有註明，否則本頁面中的內容是採用創用 CC 姓名標示 4.0 授權，程式碼範例則為阿帕契 2.0 授權。詳情請參閱《Google Developers 網站政策》。Java 是 Oracle 和/或其關聯企業的註冊商標。
上次更新時間：2025-09-04 (世界標準時間)。
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