![]() The _id value is a unique primary key for the dataset. The _id field is included to show the relationship to the original hit. This next query explodes the productListItems array and returns each merchandising eVar and event per product. ProductListItems._1.valueĪND productListItems._.eVar1 IS NOT NULLĪND productListItems._1.value IS NOT NULLĮxplode the productListItems array and return the merchandising eVar and event for each product. The query below returns a merchandising eVar and event for the first product found in the productListItems array. The following use cases focus on returning a merchandising eVar from the productListItems array using SQL. event#: The specific custom event variable that you are accessing.evar#: The specific eVar variable that you are accessing.Ĭustom events productListItems._#.value.#: The index of the array you are accessing.The sections below outline the XDM fields needed to access the merchandising variables in your Analytics dataset: eVars productListItems._.evar# To learn more about using the product syntax, please read the Adobe Analytics documentation on implementing eVars using product syntax. ![]() This allows for the collection of information, such as a per-product “discount amount” or information about the product’s “location on page” in the customer’s search results. These variables are referred to as product syntax merchandising variables. The difference between these variables and their typical use is that they represent a separate value for each product found on the hit rather than only a single value for the hit. These are based on either an eVar or custom events. In Adobe Analytics, custom product-level data can be collected through specially configured variables called merchandising variables. You can select the events that act as binding events. Conversion Variable Syntax: Associates the eVar with a product only if a binding event occurs.Product Syntax: Associates the eVar value to a product.Merchandising variables can follow one of two syntaxes: See the documentation for more information on how to ingest and map Adobe Analytics data through the Analytics source Merchandising variables The following sections provide sample queries that you can use to access the merchandising variables in your Analytics datasets. Use Query Service to manage the data ingested from Adobe Analytics into Adobe Experience Platform as datasets. Return and use merchandising variables from analytics data
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