行銷ROI

NOTE
此主題包含使用原始架構和新架構的使用者端指示。 如果您在主工具列選取「管理資料」後有「Data Warehouse檢視」區段可用,即表示新架構

如果您正線上上廣告上花錢,您想要追蹤此花費的回報,並針對進一步的投資做出資料導向式決策。 此主題示範如何設定追蹤管道分析的控制面板,包括彙總及依行銷活動的ROI。

開始之前,您想要連線您的[Facebook Ads][Adwords][Google Ecommerce]帳戶,並引進任何其他線上廣告支出資料。 此分析包含進階計算資料行

整合的表格

原始架構: ​若要將各種來源(如Facebook Ads或Google Adwords)的花費彙整在一起,Adobe建議建立您所有廣告花費的​ 整合表格。 您需要分析人員為您完成此步驟。 如果您尚未提出支援要求,請提出主旨為[MARKETING ROI ANALYSIS]的支援要求,分析人員會建立此表格。

新架構: ​您可以依照此分析程式庫主題中的範例操作。 在新架構中,整合表格現在稱為Data Warehouse檢視。

計算欄

要建立的欄

  • Consolidated Digital Ad Spend ​資料表
  • Campaign name ​由Adobe分析人員建立,是您​ [行銷ROI ANALYSIS] ​票證的一部分

原始架構與新架構:

  • sales_flat_order ​資料表

    • Order's GA campaign

      • 選取定義: Joined Column

      • Create Path:

      • Many: sales_flat_order.increment_id

      • One: ecommerce####.transaction_id

      • 選取table: ecommerce####

      • 選取column: campaign

      • Path: sales_flat_order.increment_id = ecommerce#####.transactionID

    • Order's GA medium

      • 選取定義:聯結欄
      • 選取table: ecommerce####
      • 選取column: medium
      • Path: sales_flat_order.increment_id = e-commerce#####.transactionId
    • Order's GA source

      • 選取定義:聯結欄
      • 選取table: ecommerce####
      • 選取column: source
      • Path: sales_flat_order.increment_id = e-commerce#####.transactionId
        ^
  • customer_entity ​資料表

  • Customer's first order GA campaign

    • 選取定義: Max

    • 選取table: sales_flat_order

    • 選取column: Order's GA campaign

    • Path: sales_flat_order.customer_id = customer_entity.entity_id

    • Filter:

      • Orders we count
      • Customer's order number = 1
  • Customer's first order GA source

    • 選取定義: Max

    • 選取table: sales_flat_order

    • 選取column: Order's GA source

    • Path: sales_flat_order.customer_id = customer_entity.entity_id

    • Filter:

      • Orders we count
      • Customer's order number = 1
  • Customer's first order GA medium

    • 選取定義: Max

    • 選取table: sales_flat_order

    • 選取column: Order's GA medium

    • Path: sales_flat_order.customer_id = customer_entity.entity_id

    • Filter:

      • Orders we count
      • Customer's order number = 1
  • sales_flat_order ​資料表

  • Customer's first order GA campaign

    • 選取定義: Joined Column
    • 選取table: customer_entity
    • 選取column: Customer's first order GA campaign
    • Path: sales_flat_order.customer_id = customer_entity.entity_id
  • Customer's first order GA source

    • 選取定義:聯結欄
    • 選取table: customer_entity
    • 選取column: Customer's first order GA source
    • Path: sales_flat_order.customer_id = customer_entity.entity_id
  • Customer's first order GA medium

    • 選取定義: Joined Column
    • 選取table: customer_entity
    • 選取column: Customer's first order GA medium
    • Path: sales_flat_order.customer_id = customer_entity.entity_id

量度

  • 廣告支出

  • 在​ Consolidated Digital Ad Spend ​資料表中

  • 此量度執行​ 總和

  • 在​ adCost ​欄上

  • 依​ date ​時間戳記排序

  • 廣告曝光次數

  • 在​ Consolidated Digital Ad Spend ​資料表中

  • 此量度執行​ 總和

  • 在​ Impressions ​欄上

  • 依​ Month ​時間戳記排序

  • 廣告點按

  • 在​ Consolidated Digital Ad Spend ​資料表中

  • 此量度執行​ 總和

  • 在​ adClicks ​欄上

  • 依​ Month ​時間戳記排序

NOTE
在建立新報表之前,請務必將所有新欄新增為量度的維度。

報表

  • 廣告花費(所有時間)

    • Metric:廣告支出
  • 量度A:廣告支出

  • Time period: All time


  • 間隔: None


  • Chart Type: Scalar

  • 廣告客戶贏取(所有時間)

    • Metric: New customers

    • Filters:

      • User's first order's source LIKE %google%
      • User's first order's source LIKE %facebook%
      • User's first order's source LIKE %fb%
      • User's first order's medium IN cpc, ppc
      • 篩選器邏輯: ([A]或[B]或[C])和[D]
  • 量度AAd customer acquisitions

  • Time period: All time


  • 間隔: None


  • Chart Type: Scalar

  • 廣告ROI

    • Metric:廣告支出

    • Metric: New customers

    • Filters:

      • User's first order's source LIKE %google%
      • User's first order's source LIKE %facebook%
      • User's first order's source LIKE %fb%
      • User's first order's medium IN cpc, ppc
      • 篩選器邏輯: ([A]或[B]或[C])和[D]
    • Metric:平均期限收入

    • Filters:

      • User's first order's source LIKE %google%
      • User's first order's source LIKE %facebook%
      • User's first order's source LIKE %fb%
      • User's first order's medium IN cpc, ppc
      • 篩選器邏輯: ([A]或[B]或[C])和[D]
    • Formula: ((C - (A / B)) / (A / B))

    • Format: Percentage

  • 量度AAd Spend (hide)

  • 量度BAd customer acquisitions (hide)

  • 量度CAverage LTV (hide)

  • Formula: Ads ROI

  • Time period: All time


  • 間隔: None


  • Chart Type: Scalar

  • 訂單(依ga中)

    • 公制: Orders

  • 量度AOrders

  • Time period: All time

  • Interval: By Month

  • Group by: Order's medium


  • Chart Type: Area

  • 依據行銷活動的廣告ROI

    • Metric: Ad Spend

    • Metric:New customers

    • Filters:

      • User's first order's source LIKE %google%
      • User's first order's source LIKE %facebook%
      • User's first order's source LIKE %fb%
      • User's first order's medium IN cpc, ppc
      • 篩選器邏輯: ([A]或[B]或[C])和[D]
    • Metric:平均期限收入

    • Filters:

      • User's first order's source LIKE %google%
      • User's first order's source LIKE %facebook%
      • User's first order's source LIKE %fb%
      • User's first order's medium IN cpc, ppc
      • 篩選器邏輯: ([A]或[B]或[C])和[D]
    • Metric:平均期限訂單數

    • Filters:

      • User's first order's source LIKE %google%
      • User's first order's source LIKE %facebook%
      • User's first order's source LIKE %fb%
      • User's first order's medium IN cpc, ppc
      • 篩選器邏輯: ([A]或[B]或[C])和[D]
    • Formula: (A / B)

    • Format: Currency

    • Formula: (C - (A / B))

    • Format: Currency

    • Formula: ((C - (A / B)) / (A / B))

    • Format: Percentage

    • Metric: Ad Clicks

    • Metric: Ad Impressions

    • Formula: (H / I)

    • Format: Percentage

    • Formula: (A / H)

    • Format: Currency

  • 量度AAd Spend (隱藏)

  • 量度BAd customer acquisitions

  • 量度CAverage LTV

  • 量度DAverage lifetime # of orders


  • 公式: CAC

  • Formula: Avg return

  • Formula: Ads ROI

  • 量度HadClicks

  • 量度IImpressions


  • 公式: CTR


  • 公式: CPC

  • Time period: All time


  • 間隔: None


  • 群組依據: campaign (將「客戶的第一個訂單」行銷活動用於非廣告支出表格量度)


  • Chart Type: Table

如果您在建立此分析時遇到任何問題,或只是想與專業服務團隊互動,請聯絡支援人員

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