ADO.NET Provider for Google Analytics

Build 24.0.9062

EcommPurchasesItemCategoryReportCombined

A predefined view that retrieves Ecommerce purchase item category data.

Select

The 本製品 uses the Google Analytics API to process WHERE clause conditions built with the following columns and operators:

  • PropertyId supports the following operator: =
  • ItemCategory supports the following operator: =
  • ItemCategory2 supports the following operator: =
  • ItemCategory3 supports the following operator: =
  • ItemCategory3 supports the following operator: =
  • ItemCategory5 supports the following operator: =
  • Date supports the following operators: =,>=,<=,<,>

For example, the following queries are processed server-side:

SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE PropertyId = 342020667
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE ItemCategory = 'Apparel' 
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE ItemCategory2 = 'Mens' 
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE ItemCategory3 = 'Summer' 
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE ItemCategory4 = 'Shirts' 
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE ItemCategory5 = 'T-shirts' 
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE Date = '01/05/2023' 
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE PropertyId = 342020667  AND ItemCategory = 'Apparel' AND Date = '01/05/2023'
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE Date >= '01/01/2022' AND <= '01/05/2023'
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE Date >= '01/01/2022'
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE Date <= '01/01/2022'
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE Date >  '01/01/2022'
SELECT * FROM EcommPurchasesItemCategoryReportCombined WHERE Date < '01/01/2022'
The rest of the filter is executed client-side in the 本製品.

Columns

Name Type Dimension DefaultMetric DefaultDimension Description
ItemCategory String True True Hierarchical category in which the item is classified. For example, in Apparel/Mens/Summer/Shirts/T-shirts, Apparel is the item category.
ItemCategory2 String True True Hierarchical category in which the item is classified. For example, in Apparel/Mens/Summer/Shirts/T-shirts, Mens is the item category2
ItemCategory3 String True True Hierarchical category in which the item is classified. For example, in Apparel/Mens/Summer/Shirts/T-shirts, Summer is the item category3.
ItemCategory4 String True True Hierarchical category in which the item is classified. For example, in Apparel/Mens/Summer/Shirts/T-shirts, Shirts is the item category4.
ItemCategory5 String True True Hierarchical category in which the item is classified. For example, in Apparel/Mens/Summer/Shirts/T-shirts, T-shirts is the item category5.
Date Date True True The date of the session formatted as YYYYMMDD.
ItemsAddedToCart Integer False True The number of times users added items to their shopping carts. Since AddToCarts is not compatible with item-scoped dimensions, hence this is the replacement of the AddToCarts metric.
CartToViewRate Decimal False True The number of users who added a product(s) to their cart divided by the number of users who viewed the same product(s).
EcommercePurchases Integer False The number of times users completed a purchase. This metric is not compatible with item-scoped dimensions.
PurchaseToViewRate Decimal False True The total cost of shipping.
ItemsPurchased Integer False True The total amount of tax. ItemPurchaseQuantity metric has been renamed to this metric.
ItemRevenue Decimal False True The total revenue from items only. Item revenue is the product of its price and quantity.
ItemsViewed Integer False True The number of units viewed for a single item. This metric counts the quantity of items in 'view_item' events.

Pseudo-Columns

SELECT ステートメントのWHERE 句では、疑似列フィールドを使用して、データソースから返されるタプルを詳細に制御することができます。

Name Type Description
PropertyId String Property ID value to be used when querying this table.

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Build 24.0.9062