文档Customer Journey AnalyticsCustomer Journey Analytics 指南

使用对象数组

Last update: Thu Jan 04 2024 00:00:00 GMT+0000 (Coordinated Universal Time)

创建对象：

  • Admin

某些平台模式可以具有对象数组。Adobe Customer Journey Analytics支持摄取和报告事件、查找和配置文件数据中的对象数组。 最常见的示例之一是包含多个产品的购物车。每个产品都有一个名称、SKU、类别、价格、数量以及要跟踪的任何其他维度。所有这些方面都有不同的要求，但必须都属于相同点击。

在以前版本的 Adobe Analytics 中，此功能是通过 products 变量实现的。它是一个连接字符串，用分号 (;) 分隔以区分产品不同方面，同时用逗号 (,) 描述不同产品。它是有限支持“对象数组”的唯一变量。多值变量（如列表变量）可以支持数组的等效内容，但它们不能支持“对象数组”。Customer Journey Analytics通过支持单行数据中任意深度的层次结构扩展了这一概念，任何以前版本的Adobe Analytics均不提供该功能。

相同事件示例

以下事件是一个JSON对象，它表示客户购买洗衣机和烘干机。

{
  "ID": "1",
  "product": [
    {
      "SKU": "1234",
      "category": "Washing Machines",
      "name": "LG Washing Machine 2000",
      "orders": 1,
      "revenue": 1600,
      "units": 1,
      "order_id":"abc123",
      "warranty": [
        {
          "coverage": "full coverage",
          "length": "2 year",
          "name": "LG 2000 standard",
          "orders": 1,
          "revenue": 200
        },
        {
          "coverage": "extended",
          "length": "1 year",
          "orders": 1,
          "revenue": 50,
          "type": "LG 2000 addon"
        }
      ]
    },
    {
      "SKU": "4567",
      "category": "Dryers",
      "name": "LG Dryer 2000",
      "orders": 1,
      "revenue": 500,
      "units": 1
    }
  ],
  "timestamp": 1534219229
}

创建数据视图时，以下维度和量度可用（基于架构）：

  • 维度：

    • ID
    • product : SKU
    • product : name
    • product : order_id
    • product : warranty : coverage
    • prodcut : warranty : length
    • product : warranty : name
    • product : warranty : type

  • 量度：

    • product : orders
    • product : units
    • product : revenue
    • product : warranty
    • product : warranty : revenue

相同事件示例（报表行为）

仅使用上述事件，下表显示了包含某些维度和量度组合的工作区报表。

product : name
product : orders
product : revenue
LG Washing Machine 2000
1
1600
LG Dryer 2000
1
500
Total
1
2100

Customer Journey Analytics会根据表有选择地查看对象的维度和量度。

{
  "ID": "1",
+  "product": [
+    {
      "SKU": "1234",
      "category": "Washing Machines",
+      "name": "LG Washing Machine 2000",
+      "orders": 1,
+      "revenue": 1600,
      "units": 1,
      "order_id":"abc123",
      "warranty": [
        {
          "coverage": "full coverage",
          "length": "2 year",
          "name": "LG 2000 standard",
          "orders": 1,
          "revenue": 200
        },
        {
          "coverage": "extended",
          "length": "1 year",
          "orders": 1,
          "revenue": 50,
          "type": "LG 2000 addon"
        }
      ]
+    },
+    {
      "SKU": "4567",
      "category": "Dryers",
+      "name": "LG Dryer 2000",
+      "orders": 1,
+      "revenue": 500,
      "units": 1
+    }
+  ],
+  "timestamp": 1534219229
+}

如果您仅希望报告保修收入，则您的项目将类似于以下内容：

product : warranty : coverage
product : warranty : revenue
full coverage
200
extended
50
Total
250

Customer Journey Analytics会查看事件的这些部分以生成报表：

{
  "ID": "1",
+  "product": [
+    {
      "SKU": "1234",
      "category": "Washing Machines",
      "name": "LG Washing Machine 2000",
      "orders": 1,
      "revenue": 1600,
      "units": 1,
      "order_id":"abc123",
+      "warranty": [
+        {
+          "coverage": "full coverage",
          "length": "2 year",
          "name": "LG 2000 standard",
          "orders": 1,
+          "revenue": 200
+        },
+        {
+          "coverage": "extended",
          "length": "1 year",
          "orders": 1,
+          "revenue": 50,
          "type": "LG 2000 addon"
+        }
+      ]
+    },
    {
      "SKU": "4567",
      "category": "Dryers",
      "name": "LG Dryer 2000",
      "orders": 1,
      "revenue": 500,
      "units": 1
    }
+  ],
+  "timestamp": 1534219229
+}

由于烘干机不包含保修，因此未纳入表中。

由于您可以将任何维度与量度组合，下表显示了数据如何包含未指定的维度项目：

product : warranty : name
product : orders
product : warranty : orders
LG 2000 standard
1
1
Unspecified
2
1
Total
2
2

产品订单存在，却不包含与其关联的保修名称，因此该维度项目属于“未指定”。产品保修订单也存在相同情况：

{
  "ID": "1",
+  "product": [
+    {
      "SKU": "1234",
      "category": "Washing Machines",
      "name": "LG Washing Machine 2000",
+      "orders": 1,
      "revenue": 1600,
      "units": 1,
      "order_id":"abc123",
+      "warranty": [
+        {
          "coverage": "full coverage",
          "length": "2 year",
+          "name": "LG 2000 standard",
+          "orders": 1,
          "revenue": 200
+        },
+        {
          "coverage": "extended",
          "length": "1 year",
+          "orders": 1,
          "revenue": 50,
          "type": "LG 2000 addon"
+        }
+      ]
+    },
+    {
      "SKU": "4567",
      "category": "Dryers",
      "name": "LG Dryer 2000",
+      "orders": 1,
      "revenue": 500,
      "units": 1
+    }
+  ],
+  "timestamp": 1534219229
+}

请注意那些没有关联名称的订单。它们是归因于“未指定”维度项目的订单。

组合量度

如果Customer Journey Analytics在不同的对象级别上，则它本身不会组合名称相似的指标。

product : category
product : revenue
product : warranty : revenue
Washing Machines
1600
250
Dryers
500
0
Total
2100
250

但是，您可以创建将所需量度组合在一起的计算量度：

计算量度“总收入”：[product : revenue] + [product : warranty : revenue]

应用此计算量度可显示所需的结果：

product : warranty : name
Total revenue (calculated metric)
Washing Machines
1850
Dryers
500
Total
2350
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