优化得分和建议

视频：深入探究

建议页面可通过以下几种方式改进您的广告系列：

  • 推出相关的新功能
  • 通过改进后的出价、关键字和广告让您的预算发挥更大效用
  • 提高广告系列的整体效果和效率

如需提高优化得分，您可以使用 RecommendationService 检索建议，然后相应地应用或拒绝建议。从 Google Ads API v15 开始，您还可以使用 RecommendationSubscriptionService 订阅自动采纳建议。

优化得分

视频：优化得分

优化得分是一个估算的分值，反映了您的 Google Ads 帐号在设置方面的优化程度，在 Customer 和 Campaign 一级提供。

Customer.optimization_score_weight 仅适用于非经理帐号，用于计算多个帐号的总体优化得分。获取帐号的优化得分和优化得分权重，并将它们相乘 (Customer.optimization_score * Customer.optimization_score_weight) 即可计算出总体优化得分。

customer 和 campaign 报告提供与优化相关的指标：

  1. metrics.optimization_score_url 提供该帐号的深层链接，可以在 Google Ads 界面中查看相关建议的相关信息。
  2. metrics.optimization_score_uplift 指示采纳所有相关建议后优化得分会提高多少。这是一个估算值，基于所有可用建议总体上得出的估算值，而不仅仅是各条建议的提升幅度得分总和。

如需对返回的建议进行分组和排序，您可以在查询中使用 segments.recommendation_type，按建议类型对这两个指标进行细分。

推荐类型

完全支持的推荐类型

RecommendationType 说明
CAMPAIGN_BUDGET 修正受到预算限制的广告系列
KEYWORD 添加新关键字
TEXT_AD 添加推荐广告
TARGET_CPA_OPT_IN 使用目标每次转化费用出价
MAXIMIZE_CONVERSIONS_OPT_IN 采用“尽可能提高转化次数”出价策略进行出价
MAXIMIZE_CONVERSION_VALUE_OPT_IN 使用“尽可能提高转化价值”出价策略出价
ENHANCED_CPC_OPT_IN 使用“智能点击付费”出价策略出价
MAXIMIZE_CLICKS_OPT_IN 采用“尽可能争取更多点击次数”出价策略
OPTIMIZE_AD_ROTATION 采用优化型广告轮播设置
MOVE_UNUSED_BUDGET 将未使用的预算转给受限预算
TARGET_ROAS_OPT_IN 使用“目标广告支出回报率”出价策略出价
FORECASTING_CAMPAIGN_BUDGET 修正预计在未来会受预算限制的广告系列
RESPONSIVE_SEARCH_AD 添加新的自适应搜索广告
MARGINAL_ROI_CAMPAIGN_BUDGET 调整广告系列预算以提高投资回报率
USE_BROAD_MATCH_KEYWORD 为基于转化的广告系列使用自动出价广泛匹配
RESPONSIVE_SEARCH_AD_ASSET 向广告添加自适应搜索广告素材资源
RESPONSIVE_SEARCH_AD_IMPROVE_AD_STRENGTH 提升自适应搜索广告的效果
DISPLAY_EXPANSION_OPT_IN 更新广告系列以使用“将展示广告网络也纳入投放范围”
SEARCH_PARTNERS_OPT_IN 利用 Google 搜索网络合作伙伴扩大覆盖面
CUSTOM_AUDIENCE_OPT_IN 创建自定义受众群体
IMPROVE_DISCOVERY_AD_STRENGTH 提升需求开发广告系列中的广告效力
UPGRADE_SMART_SHOPPING_CAMPAIGN_TO_PERFORMANCE_MAX 将智能购物广告系列升级为效果最大化广告系列
UPGRADE_LOCAL_CAMPAIGN_TO_PERFORMANCE_MAX 将旧版本地广告系列升级为效果最大化广告系列
SHOPPING_MIGRATE_REGULAR_SHOPPING_CAMPAIGN_OFFERS_TO_PERFORMANCE_MAX 将常规购物广告系列宣传的商品迁移到现有的效果最大化广告系列
MIGRATE_DYNAMIC_SEARCH_ADS_CAMPAIGN_TO_PERFORMANCE_MAX 将动态搜索广告迁移到效果最大化广告系列
PERFORMANCE_MAX_OPT_IN 在您的账号中制作效果最大化广告系列
IMPROVE_PERFORMANCE_MAX_AD_STRENGTH 将效果最大化广告系列的素材资源组效力提升为“极佳”评分
PERFORMANCE_MAX_FINAL_URL_OPT_IN 为效果最大化广告系列启用“最终到达网址扩展”功能
RAISE_TARGET_CPA_BID_TOO_LOW 如果目标每次转化费用过低，且转化很少或完全没有，请提高目标每次转化费用
FORECASTING_SET_TARGET_ROAS 在预计会增加流量的季节性活动之前提高预算，并将出价策略从“尽可能提高转化价值”更改为“目标广告支出回报率”
LEAD_FORM 向广告系列添加潜在客户表单素材资源
CALLOUT_ASSET 将宣传信息素材资源添加到广告系列层级或客户层级
SITELINK_ASSET 将站内链接素材资源添加到广告系列或客户一级
CALL_ASSET 将电话素材资源添加到广告系列层级或客户层级
SHOPPING_ADD_AGE_GROUP 请为因缺少年龄段而被降位的商品添加年龄段属性
SHOPPING_ADD_COLOR 为因缺少颜色而被降位的商品添加颜色
SHOPPING_ADD_GENDER 为因缺少适用性别而被降位的商品添加适用性别
SHOPPING_ADD_GTIN 为因缺少 GTIN 而被降位的商品添加 GTIN（全球贸易项目代码）
SHOPPING_ADD_MORE_IDENTIFIERS 为因缺少标识码而被降位的商品添加更多标识码
SHOPPING_ADD_SIZE 请为因缺少尺寸而降级的商品添加尺寸
SHOPPING_ADD_PRODUCTS_TO_CAMPAIGN 为广告系列添加要投放的产品
SHOPPING_FIX_DISAPPROVED_PRODUCTS 解决产品被拒登的问题
SHOPPING_TARGET_ALL_OFFERS 制作定位到所有优惠的全包型广告系列
SHOPPING_FIX_SUSPENDED_MERCHANT_CENTER_ACCOUNT 解决 Merchant Center 账号中止问题
SHOPPING_FIX_MERCHANT_CENTER_ACCOUNT_SUSPENSION_WARNING 解决 Merchant Center 账号中止警告问题
DYNAMIC_IMAGE_EXTENSION_OPT_IN 为账号启用动态图片附加信息
RAISE_TARGET_CPA 提高目标每次转化费用
LOWER_TARGET_ROAS 降低目标广告支出回报率
FORECASTING_SET_TARGET_CPA 在预计会增加流量的季节性活动到来之前，为未指定目标每次转化费用的广告系列设置目标每次转化费用
SET_TARGET_CPA 为未指定目标每次转化费用的广告系列设置目标每次转化费用
SET_TARGET_ROAS 为未指定目标广告支出回报率的广告系列设置目标广告支出回报率
REFRESH_CUSTOMER_MATCH_LIST 更新过去 90 天内未更新的客户名单
IMPROVE_GOOGLE_TAG_COVERAGE 在更多网页上部署 Google 代码
CALLOUT_EXTENSION（已弃用） 已弃用，请改用 CALLOUT_ASSET
SITELINK_EXTENSION（已弃用） 已弃用，请改用 SITELINK_ASSET
CALL_EXTENSION（已弃用） 已弃用，请改用 CALL_ASSET
KEYWORD_MATCH_TYPE（已弃用） 已弃用，请改用 USE_BROAD_MATCH_KEYWORD

观看此视频了解详情

处理不受支持的类型

检索建议

视频：实时编码

与 Google Ads API 中的大多数其他实体一样，Recommendation 对象是通过结合使用 GoogleAdsService.SearchStream 和 Google Ads 查询语言查询来提取。

对于每种类型的建议，系统都会在特定于建议的字段中提供详细信息。例如，CAMPAIGN_BUDGET 建议详细信息位于 campaign_budget_recommendation 字段中，并封装在 CampaignBudgetRecommendation 对象中。

在 recommendation 并集字段中查找所有特定于建议的字段。

对建议的影响

某些建议类型会填充建议的 impact 字段。RecommendationImpact 包含采纳建议对帐号效果影响的估算值。impact.base_metrics 和 impact.potential_metrics 字段中提供以下建议指标：

  • impressions

  • clicks

  • cost_micros

  • conversions

  • all_conversions（从 Google Ads API v16 开始提供）

  • video_views

代码示例

以下示例代码会从帐号中检索类型为 KEYWORD 的所有可用和已拒绝的建议，并输出其部分详细信息：

Java

try (GoogleAdsServiceClient googleAdsServiceClient =
        googleAdsClient.getLatestVersion().createGoogleAdsServiceClient();
    RecommendationServiceClient recommendationServiceClient =
        googleAdsClient.getLatestVersion().createRecommendationServiceClient()) {
  // Creates a query that retrieves keyword recommendations.
  String query =
      "SELECT recommendation.resource_name, "
          + "  recommendation.campaign, "
          + "  recommendation.keyword_recommendation "
          + "FROM recommendation "
          + "WHERE recommendation.type = KEYWORD";
  // Constructs the SearchGoogleAdsStreamRequest.
  SearchGoogleAdsStreamRequest request =
      SearchGoogleAdsStreamRequest.newBuilder()
          .setCustomerId(Long.toString(customerId))
          .setQuery(query)
          .build();

  // Issues the search stream request to detect keyword recommendations that exist for the
  // customer account.
  ServerStream<SearchGoogleAdsStreamResponse> stream =
      googleAdsServiceClient.searchStreamCallable().call(request);

  // Creates apply operations for all the recommendations found.
  List<ApplyRecommendationOperation> applyRecommendationOperations = new ArrayList<>();
  for (SearchGoogleAdsStreamResponse response : stream) {
    for (GoogleAdsRow googleAdsRow : response.getResultsList()) {
      Recommendation recommendation = googleAdsRow.getRecommendation();
      System.out.printf(
          "Keyword recommendation '%s' was found for campaign '%s'%n",
          recommendation.getResourceName(), recommendation.getCampaign());
      KeywordInfo keyword = recommendation.getKeywordRecommendation().getKeyword();
      System.out.printf("\tKeyword = '%s'%n", keyword.getText());
      System.out.printf("\tMatch type = '%s'%n", keyword.getMatchType());

      // Creates an ApplyRecommendationOperation that will apply this recommendation, and adds
      // it to the list of operations.
      applyRecommendationOperations.add(buildRecommendationOperation(recommendation));
    }
  }
DetectAndApplyRecommendations.java

C#

// Get the GoogleAdsServiceClient.
GoogleAdsServiceClient googleAdsService = client.GetService(
    Services.V16.GoogleAdsService);

// Creates a query that retrieves keyword recommendations.
string query = "SELECT recommendation.resource_name, " +
    "recommendation.campaign, recommendation.keyword_recommendation " +
    "FROM recommendation WHERE " +
    $"recommendation.type = KEYWORD";

List<ApplyRecommendationOperation> operations =
    new List<ApplyRecommendationOperation>();

try
{
    // Issue a search request.
    googleAdsService.SearchStream(customerId.ToString(), query,
        delegate (SearchGoogleAdsStreamResponse resp)
        {
            Console.WriteLine($"Found {resp.Results.Count} recommendations.");
            foreach (GoogleAdsRow googleAdsRow in resp.Results)
            {
                Recommendation recommendation = googleAdsRow.Recommendation;
                Console.WriteLine("Keyword recommendation " +
                    $"{recommendation.ResourceName} was found for campaign " +
                    $"{recommendation.Campaign}.");

                if (recommendation.KeywordRecommendation != null)
                {
                    KeywordInfo keyword =
                        recommendation.KeywordRecommendation.Keyword;
                    Console.WriteLine($"Keyword = {keyword.Text}, type = " +
                        "{keyword.MatchType}");
                }

                operations.Add(
                    BuildApplyRecommendationOperation(recommendation.ResourceName)
                );
            }
        }
    );
}
catch (GoogleAdsException e)
{
    Console.WriteLine("Failure:");
    Console.WriteLine($"Message: {e.Message}");
    Console.WriteLine($"Failure: {e.Failure}");
    Console.WriteLine($"Request ID: {e.RequestId}");
    throw;
}
DetectAndApplyRecommendations.cs

PHP

$googleAdsServiceClient = $googleAdsClient->getGoogleAdsServiceClient();
// Creates a query that retrieves keyword recommendations.
$query = 'SELECT recommendation.resource_name, recommendation.campaign, '
    . 'recommendation.keyword_recommendation '
    . 'FROM recommendation '
    . 'WHERE recommendation.type = KEYWORD ';
// Issues a search request to detect keyword recommendations that exist for the
// customer account.
$response =
    $googleAdsServiceClient->search(SearchGoogleAdsRequest::build($customerId, $query));

$operations = [];
// Iterates over all rows in all pages and prints the requested field values for
// the recommendation in each row.
foreach ($response->iterateAllElements() as $googleAdsRow) {
    /** @var GoogleAdsRow $googleAdsRow */
    $recommendation = $googleAdsRow->getRecommendation();
    printf(
        "Keyword recommendation with resource name '%s' was found for campaign "
        . "with resource name '%s':%s",
        $recommendation->getResourceName(),
        $recommendation->getCampaign(),
        PHP_EOL
    );
    if (!is_null($recommendation->getKeywordRecommendation())) {
        $keyword = $recommendation->getKeywordRecommendation()->getKeyword();
        printf(
            "\tKeyword = '%s'%s\ttype = '%s'%s",
            $keyword->getText(),
            PHP_EOL,
            KeywordMatchType::name($keyword->getMatchType()),
            PHP_EOL
        );
    }
    // Creates an ApplyRecommendationOperation that will be used to apply this
    // recommendation, and adds it to the list of operations.
    $operations[] = self::buildRecommendationOperation($recommendation->getResourceName());
}
DetectAndApplyRecommendations.php

Python

googleads_service = client.get_service("GoogleAdsService")
query = f"""
    SELECT
      recommendation.campaign,
      recommendation.keyword_recommendation
    FROM recommendation
    WHERE
      recommendation.type = KEYWORD"""

# Detects keyword recommendations that exist for the customer account.
response = googleads_service.search(customer_id=customer_id, query=query)

operations = []
for row in response.results:
    recommendation = row.recommendation
    print(
        f"Keyword recommendation ('{recommendation.resource_name}') "
        f"was found for campaign '{recommendation.campaign}."
    )

    keyword = recommendation.keyword_recommendation.keyword
    print(
        f"\tKeyword = '{keyword.text}'\n" f"\tType = '{keyword.match_type}'"
    )

    # Create an ApplyRecommendationOperation that will be used to apply
    # this recommendation, and add it to the list of operations.
    operations.append(
        build_recommendation_operation(client, recommendation.resource_name)
    )
detect_and_apply_recommendations.py

Ruby

query = <<~QUERY
  SELECT recommendation.resource_name, recommendation.campaign,
      recommendation.keyword_recommendation
  FROM recommendation
  WHERE recommendation.type = KEYWORD
QUERY

google_ads_service = client.service.google_ads

response = google_ads_service.search(
  customer_id: customer_id,
  query: query,
)

operations = response.each do |row|
  recommendation = row.recommendation

  puts "Keyword recommendation ('#{recommendation.resource_name}') was found for "\
    "campaign '#{recommendation.campaign}'."

  if recommendation.keyword_recommendation
    keyword = recommendation.keyword_recommendation.keyword
    puts "\tKeyword = '#{keyword.text}'"
    puts "\ttype = '#{keyword.match_type}'"
  end

  build_recommendation_operation(client, recommendation.resource_name)
end
detect_and_apply_recommendations.rb

Perl

# Create the search query.
my $search_query =
  "SELECT recommendation.resource_name, " .
  "recommendation.campaign, recommendation.keyword_recommendation " .
  "FROM recommendation " .
  "WHERE recommendation.type = KEYWORD";

# Get the GoogleAdsService.
my $google_ads_service = $api_client->GoogleAdsService();

my $search_stream_handler =
  Google::Ads::GoogleAds::Utils::SearchStreamHandler->new({
    service => $google_ads_service,
    request => {
      customerId => $customer_id,
      query      => $search_query
    }});

# Create apply operations for all the recommendations found.
my $apply_recommendation_operations = ();
$search_stream_handler->process_contents(
  sub {
    my $google_ads_row = shift;
    my $recommendation = $google_ads_row->{recommendation};
    printf "Keyword recommendation '%s' was found for campaign '%s'.\n",
      $recommendation->{resourceName}, $recommendation->{campaign};
    my $keyword = $recommendation->{keywordRecommendation}{keyword};
    printf "\tKeyword = '%s'\n",    $keyword->{text};
    printf "\tMatch type = '%s'\n", $keyword->{matchType};
    # Creates an ApplyRecommendationOperation that will apply this recommendation, and adds
    # it to the list of operations.
    push @$apply_recommendation_operations,
      build_recommendation_operation($recommendation);
  });
detect_and_apply_recommendations.pl

采取措施

可以采纳或拒绝任何检索到的建议。

根据建议类型，建议可能每天更改一次，甚至一天更改多次。如果发生这种情况，建议对象的 resource_name 可能会在检索到建议后过时。

建议在检索后尽快针对建议采取措施。

采纳建议

视频：采纳建议

您可以使用 RecommendationService 的 ApplyRecommendation 方法采纳有效或已忽略的建议。

建议类型可以包含必需或可选参数。大多数建议都附带默认使用的建议值。

并非所有建议类型都支持为自动采纳建议设置帐号。不过，您可以为 Google Ads API 完全支持的建议类型实现类似的行为。如需了解详情，请参阅 DetectAndApplyRecommendations 代码示例。

使用 ApplyRecommendationOperation 的 apply_parameters 联合字段可应用具有特定参数值的建议。每种合适的建议类型都有自己的字段。未在 apply_parameters 字段中列出的任何建议类型都不会使用这些参数值。

代码示例

以下代码演示了如何构建 ApplyRecommendationOperation，以及如何替换（如果您想用自己的值替换建议的值）。

Java

/** Creates and returns an ApplyRecommendationOperation to apply the given recommendation. */
private ApplyRecommendationOperation buildRecommendationOperation(Recommendation recommendation) {
  // If you have a recommendation ID instead of a resource name, you can create a resource name
  // like this:
  // String resourceName = ResourceNames.recommendation(customerId, recommendationId);

  // Creates a builder to construct the operation.
  Builder operationBuilder = ApplyRecommendationOperation.newBuilder();

  // Each recommendation type has optional parameters to override the recommended values. Below is
  // an example showing how to override a recommended ad when a TextAdRecommendation is applied.
  // operationBuilder.getTextAdBuilder().getAdBuilder().setResourceName("INSERT_AD_RESOURCE_NAME");

  // Sets the operation's resource name to the resource name of the recommendation to apply.
  operationBuilder.setResourceName(recommendation.getResourceName());
  return operationBuilder.build();
}
DetectAndApplyRecommendations.java

C#

private ApplyRecommendationOperation BuildApplyRecommendationOperation(
    string recommendationResourceName
)
{
    // If you have a recommendation_id instead of the resource_name you can create a
    // resource name from it like this:
    // string recommendationResourceName =
    //    ResourceNames.Recommendation(customerId, recommendationId)

    // Each recommendation type has optional parameters to override the recommended values.
    // This is an example to override a recommended ad when a TextAdRecommendation is
    // applied.
    // For details, please read
    // https://developers.google.com/google-ads/api/reference/rpc/latest/ApplyRecommendationOperation.
    /*
    Ad overridingAd = new Ad()
    {
        Id = "INSERT_AD_ID_AS_LONG_HERE"
    };
    applyRecommendationOperation.TextAd = new TextAdParameters()
    {
        Ad = overridingAd
    };
    */

    ApplyRecommendationOperation applyRecommendationOperation =
    new ApplyRecommendationOperation()
    {
        ResourceName = recommendationResourceName
    };

    return applyRecommendationOperation;
}
DetectAndApplyRecommendations.cs

PHP

private static function buildRecommendationOperation(
    string $recommendationResourceName
): ApplyRecommendationOperation {
    // If you have a recommendation_id instead of the resource name, you can create a resource
    // name from it like this:
    /*
    $recommendationResourceName =
        ResourceNames::forRecommendation($customerId, $recommendationId);
    */

    // Each recommendation type has optional parameters to override the recommended values.
    // This is an example to override a recommended ad when a TextAdRecommendation is applied.
    // For details, please read
    // https://developers.google.com/google-ads/api/reference/rpc/latest/ApplyRecommendationOperation.
    /*
    $overridingAd = new Ad([
        'id' => 'INSERT_AD_ID_AS_INTEGER_HERE'
    ]);
    $applyRecommendationOperation->setTextAd(new TextAdParameters(['ad' => $overridingAd]));
    */

    // Issues a mutate request to apply the recommendation.
    $applyRecommendationOperation = new ApplyRecommendationOperation();
    $applyRecommendationOperation->setResourceName($recommendationResourceName);
    return $applyRecommendationOperation;
}
DetectAndApplyRecommendations.php

Python

def build_recommendation_operation(client, recommendation):
    """Creates a ApplyRecommendationOperation to apply the given recommendation.

    Args:
        client: an initialized GoogleAdsClient instance.
        customer_id: a client customer ID.
        recommendation: a resource name for the recommendation to be applied.
    """
    # If you have a recommendation ID instead of a resource name, you can create
    # a resource name like this:
    #
    # googleads_service = client.get_service("GoogleAdsService")
    # resource_name = googleads_service.recommendation_path(
    #   customer_id, recommendation.id
    # )

    operation = client.get_type("ApplyRecommendationOperation")

    # Each recommendation type has optional parameters to override the
    # recommended values. Below is an example showing how to override a
    # recommended ad when a TextAdRecommendation is applied.
    #
    # operation.text_ad.ad.resource_name = "INSERT_AD_RESOURCE_NAME"
    #
    # For more details, see:
    # https://developers.google.com/google-ads/api/reference/rpc/latest/ApplyRecommendationOperation#apply_parameters

    operation.resource_name = recommendation
    return operation
detect_and_apply_recommendations.py

Ruby

def build_recommendation_operation(client, recommendation)
  # If you have a recommendation_id instead of the resource_name
  # you can create a resource name from it like this:
  # recommendation_resource =
  #    client.path.recommendation(customer_id, recommendation_id)

  operations = client.operation.apply_recommendation
  operations.resource_name = recommendation_resource

  # Each recommendation type has optional parameters to override the recommended
  # values. This is an example to override a recommended ad when a
  # TextAdRecommendation is applied.
  #
  # text_ad_parameters = client.resource.text_ad_parameters do |tap|
  #   tap.ad = client.resource.ad do |ad|
  #     ad.id = "INSERT_AD_ID_AS_INTEGER_HERE"
  #   end
  # end
  # operation.text_ad = text_ad_parameters
  #
  # For more details, see:
  # https://developers.google.com/google-ads/api/reference/rpc/latest/ApplyRecommendationOperation#apply_parameters

  return operation
end
detect_and_apply_recommendations.rb

Perl

sub build_recommendation_operation {
  my ($recommendation) = @_;

  # If you have a recommendation ID instead of a resource name, you can create a resource
  # name like this:
  # my $recommendation_resource_name =
  #   Google::Ads::GoogleAds::V16::Utils::ResourceNames::recommendation(
  #   $customer_id, $recommendation_id);

  # Each recommendation type has optional parameters to override the recommended values.
  # Below is an example showing how to override a recommended ad when a TextAdRecommendation
  # is applied.
  # my $overriding_ad = Google::Ads::GoogleAds::V16::Resources::Ad->new({
  #   id => "INSERT_AD_ID_AS_INTEGER_HERE"
  # });
  # my $text_ad_parameters =
  #   Google::Ads::GoogleAds::V16::Services::RecommendationService::TextAdParameters
  #   ->new({ad => $overriding_ad});
  # $apply_recommendation_operation->{textAd} = $text_ad_parameters;

  # Create an apply recommendation operation.
  my $apply_recommendation_operation =
    Google::Ads::GoogleAds::V16::Services::RecommendationService::ApplyRecommendationOperation
    ->new({
      resourceName => $recommendation->{resourceName}});

  return $apply_recommendation_operation;
}
detect_and_apply_recommendations.pl

下一个示例会调用 ApplyRecommendation，以发送在前面的代码中创建的采纳建议操作。

Java

// Issues a mutate request to apply the recommendations.
ApplyRecommendationResponse applyRecommendationsResponse =
    recommendationServiceClient.applyRecommendation(
        Long.toString(customerId), applyRecommendationOperations);
for (ApplyRecommendationResult applyRecommendationResult :
    applyRecommendationsResponse.getResultsList()) {
  System.out.printf(
      "Applied recommendation with resource name: '%s'.%n",
      applyRecommendationResult.getResourceName());
}
DetectAndApplyRecommendations.java

C#

private void ApplyRecommendation(GoogleAdsClient client, long customerId,
    List<ApplyRecommendationOperation> operations)
{
    // Get the RecommendationServiceClient.
    RecommendationServiceClient recommendationService = client.GetService(
        Services.V16.RecommendationService);

    ApplyRecommendationRequest applyRecommendationRequest = new ApplyRecommendationRequest()
    {
        CustomerId = customerId.ToString(),
    };

    applyRecommendationRequest.Operations.AddRange(operations);

    ApplyRecommendationResponse response =
        recommendationService.ApplyRecommendation(applyRecommendationRequest);
    foreach (ApplyRecommendationResult result in response.Results)
    {
        Console.WriteLine("Applied a recommendation with resource name: " +
            result.ResourceName);
    }
}
DetectAndApplyRecommendations.cs

PHP

private static function applyRecommendations(
    GoogleAdsClient $googleAdsClient,
    int $customerId,
    array $operations
): void {
    // Issues a mutate request to apply the recommendations.
    $recommendationServiceClient = $googleAdsClient->getRecommendationServiceClient();
    $response = $recommendationServiceClient->applyRecommendation(
        ApplyRecommendationRequest::build($customerId, $operations)
    );
    foreach ($response->getResults() as $appliedRecommendation) {
        /** @var Recommendation $appliedRecommendation */
        printf(
            "Applied a recommendation with resource name: '%s'.%s",
            $appliedRecommendation->getResourceName(),
            PHP_EOL
        );
    }
}
DetectAndApplyRecommendations.php

Python

def apply_recommendations(client, customer_id, operations):
    """Applies a batch of recommendations.

    Args:
        client: an initialized GoogleAdsClient instance.
        customer_id: a client customer ID.
        operations: a list of ApplyRecommendationOperation messages.
    """
    # Issues a mutate request to apply the recommendations.
    recommendation_service = client.get_service("RecommendationService")
    response = recommendation_service.apply_recommendation(
        customer_id=customer_id, operations=operations
    )

    for result in response.results:
        print(
            "Applied a recommendation with resource name: "
            f"'{result[0].resource_name}'."
        )
detect_and_apply_recommendations.py

Ruby

def apply_recommendations(client, customer_id, operations)
  # Issues a mutate request to apply the recommendation.
  recommendation_service = client.service.recommendation

  response = recommendation_service.apply_recommendation(
    customer_id: customer_id,
    operations: [operations],
  )

  response.results.each do |applied_recommendation|
    puts "Applied recommendation with resource name: '#{applied_recommendation.resource_name}'."
  end
end
detect_and_apply_recommendations.rb

Perl

# Issue a mutate request to apply the recommendations.
my $apply_recommendation_response =
  $api_client->RecommendationService()->apply({
    customerId => $customer_id,
    operations => $apply_recommendation_operations
  });

foreach my $result (@{$apply_recommendation_response->{results}}) {
  printf "Applied recommendation with resource name: '%s'.\n",
    $result->{resourceName};
}
detect_and_apply_recommendations.pl

观看这些视频以了解详情

应用参数

Bulk

错误

测试

拒绝建议

视频：拒绝建议

您可以使用 RecommendationService 拒绝建议。代码结构与采纳建议类似，只不过您使用的是 DismissRecommendationOperation 和 RecommendationService.DismissRecommendation。

观看这些视频以了解详情

Bulk

错误

测试

自动采纳建议

从 Google Ads API v15 开始，您可以使用 RecommendationSubscriptionService 自动采纳特定类型的建议。

如需订阅特定的推荐类型，请创建一个 RecommendationSubscription 对象，将 type 字段设置为某个受支持的推荐类型，并将 status 字段设置为 ENABLED。

订阅支持的建议类型

  • ENHANCED_CPC_OPT_IN
  • KEYWORD
  • KEYWORD_MATCH_TYPE
  • LOWER_TARGET_ROAS
  • MAXIMIZE_CLICKS_OPT_IN
  • OPTIMIZE_AD_ROTATION
  • RAISE_TARGET_CPA
  • RESPONSIVE_SEARCH_AD
  • RESPONSIVE_SEARCH_AD_IMPROVE_AD_STRENGTH
  • SEARCH_PARTNERS_OPT_IN
  • SEARCH_PLUS_OPT_IN
  • SET_TARGET_CPA
  • SET_TARGET_ROAS
  • TARGET_CPA_OPT_IN
  • TARGET_ROAS_OPT_IN
  • USE_BROAD_MATCH_KEYWORD

检索订阅

如需获取有关帐号的推荐订阅的信息，请查询 recommendation_subscription 资源。

如需查看自动应用的更改，请查询 change_event 资源，将 change_client_type 过滤为 GOOGLE_ADS_RECOMMENDATIONS_SUBSCRIPTION。

广告系列制作方面的建议

从 Google Ads API v16 开始，您可以使用 RecommendationService.GenerateRecommendationsRequest 在广告系列制作期间针对一组给定的建议类型生成建议。

GenerateRecommendations 接受作为输入：客户 ID、广告渠道类型（必须是 SEARCH 或 PERFORMANCE_MAX）、要生成的推荐类型列表，以及依赖于指定类型的各种数据点。它会根据您提供的数据输出 Recommendation 对象列表。如果没有足够的数据来为所请求的 recommendation_types 生成建议，或者广告系列已处于建议状态，则结果集将不会包含针对该类型的建议。请确保您的应用能够处理未针对请求的建议类型返回任何建议的情况。

下表介绍了 GenerateRecommendations 支持的建议类型，以及您必须提供的字段才能收到该类型的建议。最佳做法是，在收集到与请求的建议类型相关的所有信息之后，发送 GenerateRecommendations 请求。如需详细了解必填字段和选填字段（包括嵌套字段），请参阅参考文档。

RecommendationType 必填字段 可选字段
KEYWORD
  • seed_info
  • ad_group_info
MAXIMIZE_CLICKS_OPT_IN
  • conversion_tracking_status
  • bidding_info
MAXIMIZE_CONVERSIONS_OPT_IN
  • conversion_tracking_status
  • bidding_info
MAXIMIZE_CONVERSION_VALUE_OPT_IN
  • conversion_tracking_status
  • bidding_info
SET_TARGET_CPA
  • conversion_tracking_status
  • bidding_info
SET_TARGET_ROAS
  • conversion_tracking_status
  • bidding_info
SITELINK_ASSET
注意：返回的 SitelinkAssetRecommendation 对象将包含空列表。如果 GenerateRecommendations 响应包含 SitelinkAssetRecommendation，则可以将其视为向广告系列添加至少一个站内链接素材资源的信号。
  • campaign_sitelink_count
TARGET_CPA_OPT_IN
  • conversion_tracking_status
  • bidding_info
TARGET_ROAS_OPT_IN
  • conversion_tracking_status
  • bidding_info

使用流程示例

假设您的公司是一家为用户提供广告系列制作工作流程的广告代理机构，并且您希望在该流程中为用户提供建议。您可以使用 GenerateRecommendationsRequest 按需生成建议，并将这些建议整合到广告系列制作界面中。

使用流程可能如下所示：

  1. 有位用户前往您的应用制作效果最大化广告系列。

  2. 用户在广告系列制作流程中提供一些初始信息。例如，他们提供了构建单个 SitelinkAsset 所需的详细信息，并选择了 TARGET_SPEND 作为智能出价策略。

  3. 您发送了一个 GenerateRecommendationsRequest，它会设置以下字段：

    • campaign_sitelink_count：设置为 1，这是进行中的广告系列中的站内链接素材资源的数量。

    • bidding_info：将嵌套的 bidding_strategy_type 字段设置为 TARGET_SPEND。

    • conversion_tracking_status：设置为此客户的 ConversionTrackingStatus。如需了解如何检索此字段，请参阅转化管理的使用入门指南。

    • recommendation_types：设置为 [SITELINK_ASSET, MAXIMIZE_CLICKS_OPT_IN]。

    • advertising_channel_type：设置为 PERFORMANCE_MAX。

    • customer_id：设置为制作广告系列的客户的 ID。

  4. 您可以采用 GenerateRecommendationsResponse 中的建议（在本例中为 SitelinkAssetRecommendation 和 MaximizeClicksOptInRecommendation），然后在广告系列制作界面中显示这些建议，从而向用户推荐这些建议。如果用户接受了建议，您就可以在用户完成广告系列制作流程后，将其纳入广告系列制作请求中。