迁移畅销商品报告
本文档可帮助您从旧版畅销商品报告迁移到新版。用于导出 BestSellers_TopBrands_
、BestSellers_TopProducts_
和 BestSellers_TopProducts_Inventory_
表的旧版报告将于 2025 年 9 月 1 日弃用。
新版畅销商品报告提供以下信息:
与旧版报告保持一致,并与其他类似的 Google 产品(例如 Content API for Shopping 中的 BestSellersBrandView 和 BestSellerProductClusterView 字段)保持一致。
在 Google Merchant Center Analytics 中获取有关热门商品的更多数据洞见。
延长了回填功能(2 年,而不是 14 天)。
旧版和新版报告导出的表
下表比较了旧版和新版报告导出的表格:
旧报告 | 新报告 |
---|---|
BestSellers_TopBrands |
“BestSellersBrandWeekly ”和“BestSellersBrandMonthly ” |
BestSellers_TopProducts |
“BestSellersProductClusterWeekly ”和“BestSellersProductClusterMonthly ” |
BestSellers_TopProducts_Inventory |
BestSellersEntityProductMapping |
旧版报告包含一组汇总的畅销商品数据,涵盖未指定的时间范围。新报告会在请求时提供此类数据的最新周度和月度汇总数据。
比较 BestSellers_TopBrands
与 BestSellersBrandWeekly
和 BestSellersBrandMonthly
下表可帮助您确定 BestSellers_TopBrands
表中在 BestSellersBrandWeekly
和 BestSellersBrandMonthly
表中具有等效替换项的字段。旧表中的某些字段没有替代项。
BestSellers_TopBrands (旧版) |
BestSellersBrandWeekly 和 BestSellersBrandMonthly (新) |
---|---|
rank_timestamp |
“_PARTITIONDATE ”和“_PARTITIONTIME ” |
brand |
brand |
google_brand_id |
|
ranking_category |
category_id |
ranking_category_path.locale |
|
ranking_category_path.name |
|
ranking_country |
country_code |
rank_id |
|
rank |
rank |
previous_rank |
previous_rank |
relative_demand.bucket |
relative_demand |
relative_demand.min |
|
relative_demand.max |
|
previous_relative_demand.bucket |
previous_relative_demand |
previous_relative_demand.min |
|
previous_relative_demand.max |
|
relative_demand_change |
比较 BestSellers_TopProducts
与 BestSellersProductClusterWeekly
和 BestSellersProductClusterMonthly
下表可帮助您确定 BestSellers_TopProducts
表中在 BestSellersProductClusterWeekly
和 BestSellersProductClusterMonthly
表中具有等效替换项的字段。旧表中的某些字段没有替代项。
BestSellers_TopProducts (旧版) |
BestSellersProductClusterWeekly 和 BestSellersProductClusterMonthly (新) |
---|---|
rank_timestamp |
“_PARTITIONDATE ”和“_PARTITIONTIME ” |
rank_id |
entity_id |
rank |
rank |
previous_rank |
previous_rank |
ranking_country |
country_code |
ranking_category |
report_category_id |
ranking_category_path.locale |
|
ranking_category_path.name |
|
relative_demand.bucket |
relative_demand |
relative_demand.min |
|
relative_demand.max |
|
previous_relative_demand.bucket |
previous_relative_demand |
previous_relative_demand.min |
|
previous_relative_demand.max |
|
relative_demand_change |
|
product_title.locale |
|
product_title.name |
title (每个语言区域使用单个标题,而不是数组) |
gtins |
variant_gtins |
google_brand_id |
|
brand |
brand |
google_product_category |
|
category_l1 、category_l2 、category_l3 、category_l4 、category_l5 |
|
google_product_category_path.locale |
|
google_product_category_path.name |
|
price_range.min |
price_range.min_amount_micros |
price_range.max |
price_range.max_amount_micros |
price_range.currency |
price_range.currency_code |
product_inventory_status |
|
brand_inventory_status |
畅销商品数据的商品目录映射
在旧版畅销商品报告中,畅销商品数据会使用 TopProducts
表中的 rank_id
列映射到新生成的表中的商家目录数据。
在新版畅销商品报告中,BestSellersProductCluster
表中会导出 entity_id
列,该列会映射到 BestSellersEntityProductMapping
表中商家商品目录中的所有商品 ID。
BestSellers_TopProductsInventory (旧版) |
BestSellersEntityProductMapping (新) |
---|---|
rank_id (在 BestSellers_TopProducts 中找到) |
entity_id (可在 BestSellersProductClustersWeekly 和 BestSellersProductClustersMonthly 表中找到) |
product_id |
product_id |
merchant_id |
|
aggregator_id |
示例查询
本部分重点介绍了用于检索畅销商品数据的示例查询的变更。
示例 1:检索给定类别和国家/地区的热门商品
以下查询会返回给定类别和国家/地区的热门商品。
使用 BestSellers_TopProducts
表格(旧版)
SELECT
rank,
previous_rank,
relative_demand.bucket,
(SELECT name FROM top_products.product_title WHERE locale = 'en-US') AS product_title,
brand,
price_range,
google_product_category
FROM
`DATASET.BestSellers_TopProducts_MERCHANT_ID` AS top_products
WHERE
_PARTITIONDATE = 'DATE' AND
ranking_category = 267 /*Smartphones*/ AND
ranking_country = 'US'
ORDER BY
rank;
使用 BestSellersProductClusterWeekly
或 BestSellersProductClusterMonthly
表格(新)
SELECT
rank,
previous_rank,
relative_demand,
title AS product_title,
brand,
price_range,
category_l1,
category_l2
FROM
`DATASET.BestSellersProductClusterWeekly_MERCHANT_ID` AS top_products
WHERE
_PARTITIONDATE = 'DATE' AND
report_category_id = 267 /*Smartphones*/ AND
country_code = 'US'
ORDER BY
rank;
示例 2:检索商品目录中的热门商品
以下查询会返回商品目录中的热门商品列表。
使用 BestSellers_TopProducts
表格(旧版)
WITH latest_top_products AS
(
SELECT
*
FROM
`DATASET.BestSellers_TopProducts_MERCHANT_ID`
WHERE
_PARTITIONDATE = 'DATE'
),
latest_top_products_inventory AS
(
SELECT
*
FROM
`DATASET.BestSellers_TopProducts_Inventory_MERCHANT_ID`
WHERE
_PARTITIONDATE = 'DATE'
)
SELECT
top_products.rank,
inventory.product_id,
(SELECT ANY_VALUE(name) FROM top_products.product_title) AS product_title,
top_products.brand,
top_products.gtins
FROM
latest_top_products AS top_products
INNER JOIN
latest_top_products_inventory AS inventory
USING (rank_id);
使用 BestSellersProductClusterWeekly
或 BestSellersProductClusterMonthly
表格(新)
WITH latest_top_products AS
(
SELECT
*
FROM
`DATASET.BestSellersProductClusterWeekly_MERCHANT_ID`
WHERE
_PARTITIONDATE = 'DATE'
),
latest_top_products_inventory AS
(
SELECT
*
FROM
`DATASET.BestSellersEntityProductMapping_MERCHANT_ID`
WHERE
_PARTITIONDATE = 'DATE'
)
SELECT
top_products.rank,
inventory.product_id,
top_products.title AS product_title,
top_products.brand,
top_products.variant_gtins
FROM
latest_top_products AS top_products
INNER JOIN
latest_top_products_inventory AS inventory
USING (entity_id);
此外,如果您想查找商品目录中畅销商品或品牌的数量,请使用 product_inventory_status
或 brand_inventory_status
列对 BestSellerProductClusterWeekly
或 BestSellerProductClusterMonthly
表运行查询。请参阅以下示例查询:
SELECT
*
FROM
`DATASET.BestSellersProductClusterMonthly_MERCHANT_ID`
WHERE
_PARTITIONDATE = 'DATE' AND
product_inventory_status != 'NOT_IN_INVENTORY'
ORDER BY
rank;
示例 3:检索给定类别和国家/地区的热门品牌
以下查询会返回给定类别和国家/地区的热门品牌列表。
使用 BestSellers_TopBrands
表格(旧版)
SELECT
rank,
previous_rank,
brand
FROM
`DATASET.BestSellers_TopBrands_MERCHANT_ID`
WHERE
_PARTITIONDATE = 'DATE' AND
ranking_category = 267 /*Smartphones*/ AND
ranking_country = 'US'
ORDER BY
rank;
使用 BestSellersTopBrandsWeekly
或 BestSellersTopBrandsMonthly
表格(新)
SELECT
rank,
previous_rank,
brand
FROM
`DATASET.BestSellersTopBrandsWeekly_MERCHANT_ID`
WHERE
_PARTITIONDATE = 'DATE' AND
report_category_id = 267 /*Smartphones*/ AND
country_code = 'US'
ORDER BY
rank;
示例 4:检索商品目录中热门品牌的商品
以下查询会返回商品目录中热门品牌的商品列表。
使用 BestSellers_TopBrands
表格(旧版)
WITH latest_top_brands AS
(
SELECT
*
FROM
`DATASET.BestSellers_TopBrands_MERCHANT_ID`
WHERE
_PARTITIONDATE = 'DATE'
),
latest_products AS
(
SELECT
product.*,
product_category_id
FROM
`DATASET.Products_MERCHANT_ID` AS product,
UNNEST(product.google_product_category_ids) AS product_category_id,
UNNEST(destinations) AS destination,
UNNEST(destination.approved_countries) AS approved_country
WHERE
_PARTITIONDATE = 'DATE'
)
SELECT
top_brands.brand,
(SELECT name FROM top_brands.ranking_category_path
WHERE locale = 'en-US') AS ranking_category,
top_brands.ranking_country,
top_brands.rank,
products.product_id,
products.title
FROM
latest_top_brands AS top_brands
INNER JOIN
latest_products AS products
ON top_brands.google_brand_id = products.google_brand_id AND
top_brands.ranking_category = product_category_id AND
top_brands.ranking_country = products.approved_country;
使用 BestSellersTopBrandsWeekly
或 BestSellersTopBrandsMonthly
表格(新)
WITH latest_top_brands AS
(
SELECT
*
FROM
`DATASET.BestSellersBrandMonthly_MERCHANT_ID`
WHERE
_PARTITIONDATE = 'DATE'
),
latest_products AS
(
SELECT
product.*,
product_category_id
FROM
`DATASET.Products_MERCHANT_ID` AS product,
UNNEST(product.google_product_category_ids) AS product_category_id,
UNNEST(destinations) AS destination,
UNNEST(destination.approved_countries) AS approved_country
WHERE
_PARTITIONDATE = 'DATE'
)
SELECT
top_brands.brand,
–- The full category name is not supported in the new BestSellersTopBrands tables.
–- (SELECT name FROM top_brands.ranking_category_path
–- WHERE locale = 'en-US') AS ranking_category,
top_brands.category_id,
top_brands.rank,
products.product_id,
products.title
FROM
latest_top_brands AS top_brands
INNER JOIN
latest_products AS products
ON top_brands.brand = products.brand AND
top_brands.category_id = product_category_id AND
top_brands.country_code = products.approved_country;
在以下查询中,替换以下内容:
DATASET
:您的数据集的名称。MERCHANT_ID
:商家账号 IDDATE
:日期(采用YYYY-MM-DD
格式)
后续步骤
- 如需详细了解新版畅销商品报告,请参阅 Google Merchant Center 畅销商品表格。