[[["易于理解","easyToUnderstand","thumb-up"],["解决了我的问题","solvedMyProblem","thumb-up"],["其他","otherUp","thumb-up"]],[["很难理解","hardToUnderstand","thumb-down"],["信息或示例代码不正确","incorrectInformationOrSampleCode","thumb-down"],["没有我需要的信息/示例","missingTheInformationSamplesINeed","thumb-down"],["翻译问题","translationIssue","thumb-down"],["其他","otherDown","thumb-down"]],["最后更新时间 (UTC):2025-09-04。"],[[["\u003cp\u003eThe Google Merchant Center Price Benchmarks report in BigQuery will be discontinued on September 1, 2025, and users are advised to migrate to the Price Competitiveness report.\u003c/p\u003e\n"],["\u003cp\u003ePrice Benchmarks data allows merchants to analyze how their product pricing compares to other merchants selling the same items, providing a daily benchmark per product and country.\u003c/p\u003e\n"],["\u003cp\u003eThe \u003ccode\u003eProducts_PriceBenchmarks_\u003c/code\u003e table contains detailed information including product ID, merchant ID, country of sale, price benchmark value, currency, and timestamp.\u003c/p\u003e\n"],["\u003cp\u003eProducts are matched to one another using their GTIN, and the price benchmark is the average click-weighted price across all merchants advertising the same product on Shopping ads.\u003c/p\u003e\n"],["\u003cp\u003eThe provided SQL example shows how to join \u003ccode\u003eProducts\u003c/code\u003e and \u003ccode\u003ePrice Benchmarks\u003c/code\u003e tables to get a list of products and their associated benchmarks, with the caveat that inner or left joins must be used as not all products will have a benchmark.\u003c/p\u003e\n"]]],[],null,["# Google Merchant Center price benchmarks table\n=============================================\n\nOverview\n--------\n\n| **Caution:** BigQuery will no longer support the Price Benchmarks report on September 1, 2025. We recommend that you migrate to use the [Price Competitiveness report](/bigquery/docs/merchant-center-price-competitiveness-schema) instead. For more information about migrating to the new report, see [Migrate the price competitiveness report](/bigquery/docs/merchant-center-price-competitiveness-migration).\n\nPrice Benchmarks data in BigQuery helps merchants understand how\nother merchants are pricing the same product. When your Google Merchant Center\nreporting data is transferred to BigQuery, the format of the\n`Products_PriceBenchmarks_` table provides a daily price benchmark per country\nand per product.\n\nThe data is written to a table named\n`Products_PriceBenchmarks_`\u003cvar translate=\"no\"\u003eMERCHANT_ID\u003c/var\u003e if you are\nusing an individual Merchant ID, or\n`Products_PriceBenchmarks_`\u003cvar translate=\"no\"\u003eAGGREGATOR_ID\u003c/var\u003e if you're\nusing an MCA account.\n\nSchema\n------\n\nThe `Products_PriceBenchmarks` table has the following schema:\n\nExample: compare product prices to benchmarks\n---------------------------------------------\n\nThe following SQL query joins `Products` and `Price Benchmarks` data to return\nthe list of products and associated benchmarks. \n\n```googlesql\nWITH products AS\n(\n SELECT\n _PARTITIONDATE AS date,\n *\n FROM\n dataset.Products_\u003cvar translate=\"no\"\u003emerchant_id\u003c/var\u003e\n WHERE\n _PARTITIONDATE \u003e= '\u003cvar translate=\"no\"\u003eYYYY-MM-DD\u003c/var\u003e'\n),\nbenchmarks AS\n(\n SELECT\n _PARTITIONDATE AS date,\n *\n FROM\n dataset.Products_PriceBenchmarks_\u003cvar translate=\"no\"\u003emerchant_id\u003c/var\u003e\n WHERE\n _PARTITIONDATE \u003e= '\u003cvar translate=\"no\"\u003eYYYY-MM-DD\u003c/var\u003e'\n)\nSELECT\n products.date,\n products.product_id,\n products.merchant_id,\n products.aggregator_id,\n products.price,\n products.sale_price,\n benchmarks.price_benchmark_value,\n benchmarks.price_benchmark_currency,\n benchmarks.country_of_sale\nFROM\n products\nINNER JOIN\n benchmarks\nON products.product_id = benchmarks.product_id AND\n products.merchant_id = benchmarks.merchant_id AND\n products.date = benchmarks.date\n```\n| Notes on joining the data: \n| 1. Not all products have benchmarks, so use INNER JOIN or LEFT JOIN accordingly. \n| 2. Each product may have multiple benchmarks (one per country)."]]