Google Merchant Center top brands table schema

Top brands table schema

Best sellers data helps merchants understand the most popular brands and products in Shopping ads and unpaid listings. For more information about best sellers, see the description in Supported reports.

If you are using an individual Merchant ID, the data is written to a table named BestSellers_TopBrands_merchant_id. If you are using a multi-client account (MCA), the data is written to a table named BestSellers_TopBrands_aggregator_id.

The BestSellers_TopBrands_ table has the following schema:

Column BigQuery data type Description Example data
rank_timestamp TIMESTAMP Date and time when the rank was published. 2020-05-30 00:00:00 UTC
rank_id STRING Unique identifier for the rank. 2020-05-30:FR:264:120:brand
rank INTEGER The popularity rank of the brand on Shopping ads and unpaid listings for the ranking_country and ranking_category. Popularity is based on the estimated number of products sold. The rank updates daily. The data included in metrics might be delayed by up 2 days. 120
previous_rank INTEGER The change in rank over the previous 7 days. 86
ranking_country STRING Country code used for ranking. FR
ranking_category INTEGER Google product category ID used for ranking. 264
ranking_category_path RECORD, REPEATED The full path of the Google product category used for ranking in each locale.
ranking_category_path.locale STRING The locale of the category path. en-US
ranking_category_path.name STRING A human-readable name for the category path. Electronics > Communications > Telephony > Mobile Phone Accessories
relative_demand RECORD A brand's estimated demand in relation to the brand with the highest popularity rank in the same category and country.
relative_demand.bucket STRING Very high
relative_demand.min INTEGER 51
relative_demand.max INTEGER 100
previous_relative_demand RECORD A brand's estimated demand in relation to the brand with the highest popularity rank in the same category and country over the previous 7 days.
previous_relative_demand.bucket STRING Very high
previous_relative_demand.min INTEGER 51
previous_relative_demand.max INTEGER 100
brand STRING Brand of the item. Example Brand Name
google_brand_id STRING Google brand ID of the item. 11887454107284768325