About Related Products Feature in Google Analytics

About Related Products Feature in Google Analytics - Google Analytics can automatically generate a list of related products per product for your Ecommerce enabled property based on transaction data.

Ecommerce users can benefit from information about related products to enable and improve activities such as:

• product bundling
• merchandising
• product recommendations
• remarketing
• email campaigns

Related products data can be used to increase sales, conversion rates, and average order value.

The requirements that must be met in order for related products data to be available for your property are:

• You must have Ecommerce tracking implemented on your property. Both Classic Analytics (ga.js) and Universal Analytics (analytics.js) are supported.
• In order to infer meaningful relationships between products, a minimum amount of transaction data and number of products is required.
• 30 days of data are used to generate the related products lists.

Note: If either of the above requirements are not met then you will not see any related products data for your property.

Querying Related Products data

Related products data is available through the Core Reporting API.

Valid Queries

• All queries must include ga:queryProductId, ga:relatedProductId, and at least one Related Product metric.
• Do not include other product dimensions.

Note: ga:queryProductQuantity is the total number of unique purchases of the query product within the last 30 days, and is included to provide a measure of transaction volume per product, but should not necessarily match other Google Analytics ecommerce metrics.

Example Queries

• Retrieve the correlation between every product and all of its related products. Use a filter to retrieve the score for a single product.
  

  dimensions=ga:queryProductId,ga:relatedProductId
  metrics=ga:correlationScore,ga:queryProductQuantity,ga:relatedProductQuantity
  

  Try it now in the Query Explorer.
• Retrieve the queried and related product names sorted by the largest volume of query products. This query could be used to determine whether some of the most popular products have any related products that might be viable to use for a cross selling promotional marketing activity.
  

  dimensions=ga:queryProductName,ga:relatedProductName,ga:queryProductId,ga:relatedProductId
  metrics=ga:correlationScore,ga:queryProductQuantity,ga:relatedProductQuantity
  sort=-ga:queryProductQuantity
  

  Try it now in the Query Explorer.

The complete list of dimensions and metrics is available in the Dimensions and Metrics Explorer under the Related Products section.

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