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/services/benchmarks_service.proto

--- v24/services/benchmarks_service.proto   2026-09-23 01:11:58.000000000 +0000
+++ v25/services/benchmarks_service.proto   2026-09-23 01:12:01.000000000 +0000
@@ -240,13 +257,16 @@
 // The metadata associated with a benchmarks source.
 message BenchmarksSourceMetadata {
   // The type of benchmarks source.
-  google.ads.googleads.v24.enums.BenchmarksSourceTypeEnum.BenchmarksSourceType
+  google.ads.googleads.v25.enums.BenchmarksSourceTypeEnum.BenchmarksSourceType
       benchmarks_source_type = 1;

   // Information on benchmarks source.
   oneof benchmarks_source_info {
     // Information on the Industry Vertical.
     IndustryVerticalInfo industry_vertical_info = 2;
+
+    // Information on the Product & Service Category.
+    CategoryInfo category_info = 3;
   }
 }

@@ -262,8 +282,20 @@
   int64 parent_industry_vertical_id = 3;
 }

+// The information associated with a Product & Service Category.
+message CategoryInfo {
+  // The name of the Product & Service Category.
+  string category_name = 1;
+
+  // The unique identifier of the Product & Service Category.
+  int64 category_id = 2;
+
+  // The full path of the Product & Service Category.
+  string category_path = 3;
+}
+
 // Request message for
-// [BenchmarksService.GenerateBenchmarksMetrics][google.ads.googleads.v24.services.BenchmarksService.GenerateBenchmarksMetrics].
+// [BenchmarksService.GenerateBenchmarksMetrics][google.ads.googleads.v25.services.BenchmarksService.GenerateBenchmarksMetrics].
 message GenerateBenchmarksMetricsRequest {
   // Required. The ID of the customer. Supply a client customer ID to generate
   // metrics for the customer. A manager account customer ID will not return
@@ -273,17 +305,27 @@
   // The date range to aggregate metrics over. If unset, data will be returned
   // for the most recent quarter for which data is available. Dates can be
   // retrieved using
-  // [BenchmarksService.ListBenchmarksAvailableDates][google.ads.googleads.v24.services.BenchmarksService.ListBenchmarksAvailableDates].
-  google.ads.googleads.v24.common.DateRange date_range = 2;
+  // [BenchmarksService.ListBenchmarksAvailableDates][google.ads.googleads.v25.services.BenchmarksService.ListBenchmarksAvailableDates].
+  google.ads.googleads.v25.common.DateRange date_range = 2;

   // Required. The location to generate benchmarks metrics for.
-  google.ads.googleads.v24.common.LocationInfo location = 3
+  google.ads.googleads.v25.common.LocationInfo location = 3
       [(google.api.field_behavior) = REQUIRED];

   // Required. The source used to generate benchmarks metrics for.
   BenchmarksSource benchmarks_source = 4
       [(google.api.field_behavior) = REQUIRED];

+  // A list of Product & Service Categories for scoping a YouTube benchmarks
+  // analysis. For example, when category "/Apparel/Clothing" is selected,
+  // customer metrics represent Ad performance for "/Apparel/Clothing" Ads only
+  // and the customer is benchmarking against all advertisers’ Ads in the
+  // "/Apparel/Clothing" category.
+  //
+  // This filter can only be used when `all_advertisers` is used as the
+  // [benchmarks_source][google.ads.googleads.v25.services.GenerateBenchmarksMetricsRequest.benchmarks_source].
+  CategoryFilter category_filter = 10;
+
   // Required. The products to aggregate metrics over. Product filter settings
   // support a list of product IDs or a list of marketing objectives.
   ProductFilter product_filter = 5 [(google.api.field_behavior) = REQUIRED];
@@ -300,8 +342,15 @@
   // The name of the customer being planned for. This is a user-defined value.
   string customer_benchmarks_group = 7;

+  // Optional. Optional features to include in the response. By default, only
+  // core data is returned. Including supplemental data here will populate
+  // additional metrics in the response such as percentile metrics.
+  repeated google.ads.googleads.v25.enums.BenchmarksSupplementalDataEnum
+      .BenchmarksSupplementalData supplemental_data = 11
+      [(google.api.field_behavior) = OPTIONAL];
+
   // Additional information on the application issuing the request.
-  google.ads.googleads.v24.common.AdditionalApplicationInfo application_info =
+  google.ads.googleads.v25.common.AdditionalApplicationInfo application_info =
       8;
 }

@@ -307,15 +356,31 @@

 // The source used to generate benchmarks metrics for. The ID of the source can
 // be obtained from
-// [BenchmarksService.ListBenchmarksSources][google.ads.googleads.v24.services.BenchmarksService.ListBenchmarksSources].
+// [BenchmarksService.ListBenchmarksSources][google.ads.googleads.v25.services.BenchmarksService.ListBenchmarksSources].
 message BenchmarksSource {
   // The ID of the chosen benchmarks source.
   oneof benchmarks_source_id {
     // The ID of the Industry Vertical.
     int64 industry_vertical_id = 1;
+
+    // Comparison against all advertisers running Ads. This benchmarking option
+    // must utilize additional filters. Setting the `category_filter` is
+    // required. One or more categories will scope the metrics of both the
+    // customer and all advertisers to those selected categories.
+    bool all_advertisers = 2;
   }
 }

+// A list of Product & Service Categories for scoping benchmarks.
+message CategoryFilter {
+  // Required. Product & Service Category IDs. The supported list of IDs can be
+  // retrieved using
+  // [BenchmarksService.ListBenchmarksSources][google.ads.googleads.v25.services.BenchmarksService.ListBenchmarksSources].
+  // The scope of benchmarks analysis will be the union (ORs) of all categories
+  // supplied.
+  repeated string category_ids = 1 [(google.api.field_behavior) = REQUIRED];
+}
+
 // The type and list of products to aggregate benchmarks metrics over.
 message ProductFilter {
   // The list of products to generate benchmarks metrics for.
@@ -359,12 +424,16 @@
 }

 // Response message for
-// [BenchmarksService.GenerateBenchmarksMetrics][google.ads.googleads.v24.services.BenchmarksService.GenerateBenchmarksMetrics].
+// [BenchmarksService.GenerateBenchmarksMetrics][google.ads.googleads.v25.services.BenchmarksService.GenerateBenchmarksMetrics].
 message GenerateBenchmarksMetricsResponse {
-  // Metrics belonging to the customer.
-  Metrics customer_metrics = 1;
+  // Metrics representing the customer's Ad performance.
+  CustomerMetrics customer_metrics = 4;

-  // Metrics for the selected benchmarks source.
+  // Metrics for the selected benchmarks source. Rate metrics for the benchmarks
+  // source are only returned when the request `date_range` is a subset of
+  // `supported_dates_for_all_metrics` returned by
+  // [BenchmarksService.ListBenchmarksAvailableDates][google.ads.googleads.v25.services.BenchmarksService.ListBenchmarksAvailableDates]
+  // due to limited availability.
   Metrics average_benchmarks_metrics = 2;

   // Breakdown metrics grouped by dimensions.
@@ -376,10 +445,14 @@
   // Dimensions by which the breakdown metrics are grouped by.
   BreakdownKey breakdown_key = 1;

-  // Metrics belonging to the customer.
-  Metrics customer_metrics = 2;
+  // Metrics representing the customer's Ad performance.
+  CustomerMetrics customer_metrics = 4;

-  // Metrics for the selected benchmarks source.
+  // Metrics for the selected benchmarks source. Rate metrics for the benchmarks
+  // source are only returned when the request `date_range` is a subset of
+  // `supported_dates_for_all_metrics` returned by
+  // [BenchmarksService.ListBenchmarksAvailableDates][google.ads.googleads.v25.services.BenchmarksService.ListBenchmarksAvailableDates]
+  // due to limited availability.
   Metrics average_benchmarks_metrics = 3;
 }

@@ -396,6 +469,34 @@
   RateMetrics average_rate_metrics = 1;
 }

+// Metrics representing the customer’s Ad performance.
+message CustomerMetrics {
+  // Average rate metrics calculated by dividing one metric by another.
+  RateMetrics average_rate_metrics = 1;
+
+  // Metrics calculated by dividing the metric of the customer by that of the
+  // selected benchmarks source. These metrics are only returned when:
+  //
+  // 1. `all_advertisers` is used as the `benchmarks_source`. Note that the
+  // request `category_filter` must be set when using `all_advertisers`.
+  // 2. The request `date_range` is a subset of
+  // `supported_dates_for_all_metrics` returned by
+  // [BenchmarksService.ListBenchmarksAvailableDates][google.ads.googleads.v25.services.BenchmarksService.ListBenchmarksAvailableDates].
+  ShareMetrics share_metrics = 2;
+
+  // Metrics calculated by aggregating values of a single metric for the
+  // customer.
+  AggregateMetrics aggregate_metrics = 3;
+
+  // Metrics representing the customer’s competitive standing among advertisers
+  // scoped by the analysis. Percentile metrics are only returned when:
+  //
+  // 1. `all_advertisers` is used as the `benchmarks_source`. Note that the
+  // request `category_filter` must be set when using `all_advertisers`.
+  // 2. `PERCENTILE_DATA` is requested as `supplemental_data`.
+  PercentileMetrics percentile_metrics = 4;
+}
+
 // Average rate metrics. Metrics that represent monetary values are returned
 // in USD by default, if unspecified in the request.
 message RateMetrics {
@@ -454,3 +555,100 @@
   // Percentage of impressions where the viewer watched all of your video.
   double video_completion_p100_rate = 15;
 }
+
+// Metrics calculated by dividing the metric of the customer by that of the
+// selected benchmarks source.
+message ShareMetrics {
+  // Relative impressions. Share of voice is defined by the customer’s total
+  // number of impressions divided by the aggregated number of impressions of
+  // all advertisers in the selected benchmarks source including your own. Share
+  // of voice is represented on a scale of 0 to 1 precise to 4 decimal places.
+  // For example, 0.0123 which corresponds to 1.23%.
+  double share_of_voice = 1;
+
+  // Relative spend. Share of spend is defined by the customer’s total cost
+  // divided by the total aggregated cost of all advertisers in the selected
+  // benchmarks source including your own. Share of spend is represented on a
+  // scale of 0 to 1 precise to 4 decimal places. For example, 0.0123 which
+  // corresponds to 1.23%.
+  double share_of_spend = 2;
+}
+
+// Metrics calculated by aggregating values of a single metric.
+message AggregateMetrics {
+  // The total cost paid by the customer. Cost is represented in USD by default,
+  // if unspecified in the request.
+  double cost = 1;
+
+  // The number of video TrueView views.
+  //
+  // See https://support.google.com/google-ads/answer/2375431 for more
+  // information on TrueView Views.
+  double video_trueview_views = 2;
+
+  // The number of times the Ad was shown to users.
+  double impressions = 3;
+
+  // The number of impressions that are considered viewable according to the
+  // Active View criteria.
+  //
+  // See https://support.google.com/google-ads/answer/7029393 for more
+  // information on Active View.
+  double viewable_impressions = 4;
+
+  // The number of clicks received.
+  double clicks = 5;
+
+  // The number of interactions. Interactions include physical clicks,
+  // engagements, and video views that are logged as clicks.
+  //
+  // See https://support.google.com/google-ads/answer/2375431 for more
+  // information on interactions.
+  double interactions = 6;
+
+  // The number of engagements. Engagements are ad interactions such as
+  // expanding a lightbox Ad or clicking on a video teaser.
+  //
+  // See https://support.google.com/google-ads/answer/2375431 for more
+  // information on engagements.
+  double engagements = 7;
+}
+
+// Metrics representing the customer’s competitive standing among advertisers
+// scoped by the analysis.
+//
+// Percentile tier values classify the customer's percentile rank among other
+// advertisers scoped by the analysis. For example, EMERGING_PLAYER indicates
+// the customer ranks between the 25th and 50th percentiles, while MARKET_LEADER
+// indicates they rank in the top 10%.
+message PercentileMetrics {
+  // The customer's cost percentile tier.
+  google.ads.googleads.v25.enums.BenchmarksCustomerPercentileTierEnum
+      .BenchmarksCustomerPercentileTier cost_percentile_tier = 1;
+
+  // The customer's video TrueView views percentile tier.
+  google.ads.googleads.v25.enums.BenchmarksCustomerPercentileTierEnum
+      .BenchmarksCustomerPercentileTier video_trueview_views_percentile_tier =
+      2;
+
+  // The customer's impressions percentile tier.
+  google.ads.googleads.v25.enums.BenchmarksCustomerPercentileTierEnum
+      .BenchmarksCustomerPercentileTier impressions_percentile_tier = 3;
+
+  // The customer's viewable impressions percentile tier.
+  google.ads.googleads.v25.enums.BenchmarksCustomerPercentileTierEnum
+      .BenchmarksCustomerPercentileTier viewable_impressions_percentile_tier =
+      4;
+
+  // The customer's clicks percentile tier.
+  google.ads.googleads.v25.enums.BenchmarksCustomerPercentileTierEnum
+      .BenchmarksCustomerPercentileTier clicks_percentile_tier = 5;
+
+  // The customer's interactions percentile tier.
+  google.ads.googleads.v25.enums.BenchmarksCustomerPercentileTierEnum
+      .BenchmarksCustomerPercentileTier interactions_percentile_tier = 6;
+
+  // The customer's engagements percentile tier.
+  google.ads.googleads.v25.enums.BenchmarksCustomerPercentileTierEnum
+      .BenchmarksCustomerPercentileTier engagements_percentile_tier = 7;
+}
/services/benchmarks_service.proto 使用集合让一切井井有条 根据您的偏好保存内容并对其进行分类。

/services/benchmarks_service.proto
