A predefined view that retrieves Ecommerce purchase item category data.

Select

The connector 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 connector.

Columns

Name	Type	Dimension	DefaultMetric	DefaultDimension	Description
ItemCategory	String	True		True	A 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	A 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	A 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	A 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	A 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, this is the replacement for the AddToCarts metric.
CartToViewRate	Integer	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	Decimal	False	True		The total amount of tax. The 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

Pseudo column fields are used in the WHERE clause of SELECT statements and offer a more granular control over the tuples that are returned from the data source.

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