营销ROI

NOTE
本主题包含有关使用原始架构和新架构的客户端的说明。 如果您在主工具栏中选择“管理数据”后有“Data Warehouse视图”部分可用,则您位于新架构

如果您正在在线广告上花钱,则希望跟踪您的投资回报,并在进一步投资方面做出以数据为导向的决策。 本主题将演示如何设置一个功能板来跟踪您的渠道分析,包括汇总的ROI和按促销活动列出的分析。

在开始之前,您需要连接您的[Facebook Ads][Adwords][Google Ecommerce]帐户,并引入任何其他在线广告支出数据。 此分析包含高级计算列

统一表

原始架构: ​若要汇总来自各种来源(如Facebook Ads或Google Adwords)的支出,Adobe建议创建所有广告支出的​ 整合表。 您需要一名分析师为您完成此步骤。 如果您尚未这样做,请提交主题为[MARKETING ROI ANALYSIS]的支持请求,分析人员将创建此表。

新架构: ​您可以按照此分析库主题中的示例进行操作。 在新体系结构中,统一表现在称为Data Warehouse视图。

计算列

要创建的列

  • Consolidated Digital Ad Spend ​表
  • Campaign name ​由Adobe分析师创建,作为​ [MARKETING ROI ANALYSIS] ​票证的一部分

原始架构和新架构:

  • sales_flat_order ​表

    • Order's GA campaign

      • 选择定义: Joined Column

      • Create Path:

      • Many: sales_flat_order.increment_id

      • One: ecommerce####.transaction_id

      • 选择table: ecommerce####

      • 选择column: campaign

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

    • Order's GA medium

      • 选择定义:联接列
      • 选择table: ecommerce####
      • 选择column: medium
      • Path: sales_flat_order.increment_id = e-commerce#####.transactionId
    • Order's GA source

      • 选择定义:联接列
      • 选择table: ecommerce####
      • 选择column: source
      • Path: sales_flat_order.increment_id = e-commerce#####.transactionId
        ^
  • customer_entity ​表

  • Customer's first order GA campaign

    • 选择定义: Max

    • 选择table: sales_flat_order

    • 选择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

    • 选择定义: Max

    • 选择table: sales_flat_order

    • 选择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

    • 选择定义: Max

    • 选择table: sales_flat_order

    • 选择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 ​表

  • Customer's first order GA campaign

    • 选择定义: Joined Column
    • 选择table: customer_entity
    • 选择column: Customer's first order GA campaign
    • Path: sales_flat_order.customer_id = customer_entity.entity_id
  • Customer's first order GA source

    • 选择定义:联接列
    • 选择table: customer_entity
    • 选择column: Customer's first order GA source
    • Path: sales_flat_order.customer_id = customer_entity.entity_id
  • Customer's first order GA medium

    • 选择定义: Joined Column
    • 选择table: customer_entity
    • 选择column: Customer's first order GA medium
    • Path: sales_flat_order.customer_id = customer_entity.entity_id

量度

  • 广告支出

  • 在​ Consolidated Digital Ad Spend ​表中

  • 此量度执行​ 总和

  • 在​ adCost ​列上

  • 按​ date ​时间戳排序

  • 广告展示次数

  • 在​ Consolidated Digital Ad Spend ​表中

  • 此量度执行​ 总和

  • 在​ Impressions ​列上

  • 按​ Month ​时间戳排序

  • 广告点击次数

  • 在​ Consolidated Digital Ad Spend ​表中

  • 此量度执行​ 总和

  • 在​ adClicks ​列上

  • 按​ Month ​时间戳排序

NOTE
确保在生成新报告之前将所有新列作为维度添加到量度

报告

  • 广告花费(所有时间)

    • Metric:广告支出
  • 量度A:广告支出

  • Time period: All time


  • 间隔: None


  • Chart Type: Scalar

  • 广告客户获取(所有时间)

    • 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
      • 筛选器逻辑: ([A]或[B]或[C])和[D]
  • 量度AAd customer acquisitions

  • Time period: All time


  • 间隔: None


  • Chart Type: Scalar

  • 广告ROI

    • Metric:广告支出

    • 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
      • 筛选器逻辑: ([A]或[B]或[C])和[D]
    • Metric:平均生命周期收入

    • 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
      • 筛选器逻辑: ([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


  • 间隔: None


  • Chart Type: Scalar

  • 按Ga排列的订单数

    • 量度: Orders

  • 量度AOrders

  • Time period: All time

  • Interval: By Month

  • Group by: Order's medium


  • Chart Type: Area

  • 按营销活动划分的广告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
      • 筛选器逻辑: ([A]或[B]或[C])和[D]
    • Metric:平均生命周期收入

    • 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
      • 筛选器逻辑: ([A]或[B]或[C])和[D]
    • Metric:平均生命周期订单数

    • 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
      • 筛选器逻辑: ([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 (隐藏)

  • 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


  • 间隔: None


  • 分组依据: campaign (将“客户的第一个订单”促销活动用于非广告支出表量度)


  • Chart Type: Table

如果您在构建此分析时遇到任何问题,或只是想与专业服务团队接洽,请联系支持人员

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