Kundenlisten verwalten

In diesem Leitfaden finden Sie Informationen zum Aktualisieren und Entfernen von Kundenlisten sowie zum Erstellen entsprechender Berichte.

Liste mit OfflineUserDataJobService aktualisieren

Nachdem Sie Ihre Kundenlisten erstellt und die Ausrichtung eingerichtet haben, und sie regelmäßig zu aktualisieren.

Um Ihre Listen mit den neuesten Daten zu aktualisieren, ist es in der Regel effizienter, einzelne Nutzer hinzufügen oder entfernen, anstatt alle Nutzer aus der Liste zu entfernen ganz neu hochladen.

An eine Liste anhängen

Zum Anfügen an eine vorhandene Liste erstellen Sie ein OfflineUserDataJob auf dieselbe Weise. wie beim Erstellen einer neuen Kundenliste.

Java

private void addUsersToCustomerMatchUserList(
    GoogleAdsClient googleAdsClient,
    long customerId,
    boolean runJob,
    String userListResourceName,
    Long offlineUserDataJobId,
    ConsentStatus adPersonalizationConsent,
    ConsentStatus adUserDataConsent)
    throws UnsupportedEncodingException {
  try (OfflineUserDataJobServiceClient offlineUserDataJobServiceClient =
      googleAdsClient.getLatestVersion().createOfflineUserDataJobServiceClient()) {
    String offlineUserDataJobResourceName;
    if (offlineUserDataJobId == null) {
      // Creates a new offline user data job.
      OfflineUserDataJob.Builder offlineUserDataJobBuilder =
          OfflineUserDataJob.newBuilder()
              .setType(OfflineUserDataJobType.CUSTOMER_MATCH_USER_LIST)
              .setCustomerMatchUserListMetadata(
                  CustomerMatchUserListMetadata.newBuilder().setUserList(userListResourceName));
      // Adds consent information to the job if specified.
      if (adPersonalizationConsent != null || adUserDataConsent != null) {
        Consent.Builder consentBuilder = Consent.newBuilder();
        if (adPersonalizationConsent != null) {
          consentBuilder.setAdPersonalization(adPersonalizationConsent);
        }
        if (adUserDataConsent != null) {
          consentBuilder.setAdUserData(adUserDataConsent);
        }
        // Specifies whether user consent was obtained for the data you are uploading. See
        // https://www.google.com/about/company/user-consent-policy for details.
        offlineUserDataJobBuilder
            .getCustomerMatchUserListMetadataBuilder()
            .setConsent(consentBuilder);
      }

      // Issues a request to create the offline user data job.
      CreateOfflineUserDataJobResponse createOfflineUserDataJobResponse =
          offlineUserDataJobServiceClient.createOfflineUserDataJob(
              Long.toString(customerId), offlineUserDataJobBuilder.build());
      offlineUserDataJobResourceName = createOfflineUserDataJobResponse.getResourceName();
      System.out.printf(
          "Created an offline user data job with resource name: %s.%n",
          offlineUserDataJobResourceName);
    } else {
      // Reuses the specified offline user data job.
      offlineUserDataJobResourceName =
          ResourceNames.offlineUserDataJob(customerId, offlineUserDataJobId);
    }

    // Issues a request to add the operations to the offline user data job. This example
    // only adds a few operations, so it only sends one AddOfflineUserDataJobOperations request.
    // If your application is adding a large number of operations, split the operations into
    // batches and send multiple AddOfflineUserDataJobOperations requests for the SAME job. See
    // https://developers.google.com/google-ads/api/docs/remarketing/audience-types/customer-match#customer_match_considerations
    // and https://developers.google.com/google-ads/api/docs/best-practices/quotas#user_data
    // for more information on the per-request limits.
    List<OfflineUserDataJobOperation> userDataJobOperations = buildOfflineUserDataJobOperations();
    AddOfflineUserDataJobOperationsResponse response =
        offlineUserDataJobServiceClient.addOfflineUserDataJobOperations(
            AddOfflineUserDataJobOperationsRequest.newBuilder()
                .setResourceName(offlineUserDataJobResourceName)
                .setEnablePartialFailure(true)
                .addAllOperations(userDataJobOperations)
                .build());

    // Prints the status message if any partial failure error is returned.
    // NOTE: The details of each partial failure error are not printed here, you can refer to
    // the example HandlePartialFailure.java to learn more.
    if (response.hasPartialFailureError()) {
      GoogleAdsFailure googleAdsFailure =
          ErrorUtils.getInstance().getGoogleAdsFailure(response.getPartialFailureError());
      System.out.printf(
          "Encountered %d partial failure errors while adding %d operations to the offline user "
              + "data job: '%s'. Only the successfully added operations will be executed when "
              + "the job runs.%n",
          googleAdsFailure.getErrorsCount(),
          userDataJobOperations.size(),
          response.getPartialFailureError().getMessage());
    } else {
      System.out.printf(
          "Successfully added %d operations to the offline user data job.%n",
          userDataJobOperations.size());
    }

    if (!runJob) {
      System.out.printf(
          "Not running offline user data job '%s', as requested.%n",
          offlineUserDataJobResourceName);
      return;
    }

    // Issues an asynchronous request to run the offline user data job for executing
    // all added operations.
    offlineUserDataJobServiceClient.runOfflineUserDataJobAsync(offlineUserDataJobResourceName);

    // BEWARE! The above call returns an OperationFuture. The execution of that future depends on
    // the thread pool which is owned by offlineUserDataJobServiceClient. If you use this future,
    // you *must* keep the service client in scope too.
    // See https://developers.google.com/google-ads/api/docs/client-libs/java/lro for more detail.

    // Offline user data jobs may take 6 hours or more to complete, so instead of waiting for the
    // job to complete, retrieves and displays the job status once. If the job is completed
    // successfully, prints information about the user list. Otherwise, prints the query to use
    // to check the job again later.
    checkJobStatus(googleAdsClient, customerId, offlineUserDataJobResourceName);
  }
}

      

C#

private static string AddUsersToCustomerMatchUserList(GoogleAdsClient client,
    long customerId, string userListResourceName, bool runJob,
    long? offlineUserDataJobId, ConsentStatus? adPersonalizationConsent,
    ConsentStatus? adUserDataConsent)
{
    // Get the OfflineUserDataJobService.
    OfflineUserDataJobServiceClient service = client.GetService(
        Services.V17.OfflineUserDataJobService);

    string offlineUserDataJobResourceName;
    if (offlineUserDataJobId == null)
    {
        // Creates a new offline user data job.
        OfflineUserDataJob offlineUserDataJob = new OfflineUserDataJob()
        {
            Type = OfflineUserDataJobType.CustomerMatchUserList,
            CustomerMatchUserListMetadata = new CustomerMatchUserListMetadata()
            {
                UserList = userListResourceName,
            }
        };

        if (adUserDataConsent != null || adPersonalizationConsent != null)
        {
            // Specifies whether user consent was obtained for the data you are uploading.
            // See https://www.google.com/about/company/user-consent-policy
            // for details.
            offlineUserDataJob.CustomerMatchUserListMetadata.Consent = new Consent();

            if (adPersonalizationConsent != null)
            {
                offlineUserDataJob.CustomerMatchUserListMetadata.Consent.AdPersonalization =
                    (ConsentStatus)adPersonalizationConsent;
            }

            if (adUserDataConsent != null)
            {
                offlineUserDataJob.CustomerMatchUserListMetadata.Consent.AdUserData =
                    (ConsentStatus)adUserDataConsent;
            }
        }

        // Issues a request to create the offline user data job.
        CreateOfflineUserDataJobResponse response1 = service.CreateOfflineUserDataJob(
            customerId.ToString(), offlineUserDataJob);
        offlineUserDataJobResourceName = response1.ResourceName;
        Console.WriteLine($"Created an offline user data job with resource name: " +
            $"'{offlineUserDataJobResourceName}'.");
    } else {
        // Reuses the specified offline user data job.
        offlineUserDataJobResourceName =
            ResourceNames.OfflineUserDataJob(customerId, offlineUserDataJobId.Value);
    }

    AddOfflineUserDataJobOperationsRequest request =
        new AddOfflineUserDataJobOperationsRequest()
        {
            ResourceName = offlineUserDataJobResourceName,
            Operations = { BuildOfflineUserDataJobOperations() },
            EnablePartialFailure = true,
        };
    // Issues a request to add the operations to the offline user data job. This example
    // only adds a few operations, so it only sends one AddOfflineUserDataJobOperations
    // request.
    // If your application is adding a large number of operations, split the operations into
    // batches and send multiple AddOfflineUserDataJobOperations requests for the SAME job.
    // See https://developers.google.com/google-ads/api/docs/remarketing/audience-types/customer-match#customer_match_considerations
    // and https://developers.google.com/google-ads/api/docs/best-practices/quotas#user_data
    // for more information on the per-request limits.
    AddOfflineUserDataJobOperationsResponse response2 =
        service.AddOfflineUserDataJobOperations(request);

    // Prints the status message if any partial failure error is returned.
    // Note: The details of each partial failure error are not printed here,
    // you can refer to the example HandlePartialFailure.cs to learn more.
    if (response2.PartialFailureError != null)
    {
        // Extracts the partial failure from the response status.
        GoogleAdsFailure partialFailure = response2.PartialFailure;
        Console.WriteLine($"{partialFailure.Errors.Count} partial failure error(s) " +
            $"occurred");
    }
    Console.WriteLine("The operations are added to the offline user data job.");

    if (!runJob)
    {
        Console.WriteLine($"Not running offline user data job " +
            "'{offlineUserDataJobResourceName}', as requested.");
        return offlineUserDataJobResourceName;
    }

    // Issues an asynchronous request to run the offline user data job for executing
    // all added operations.
    Operation<Empty, OfflineUserDataJobMetadata> operationResponse =
        service.RunOfflineUserDataJob(offlineUserDataJobResourceName);

    Console.WriteLine("Asynchronous request to execute the added operations started.");

    // Since offline user data jobs may take 24 hours or more to complete, it may not be
    // practical to do operationResponse.PollUntilCompleted() to wait for the results.
    // Instead, we save the offlineUserDataJobResourceName and use GoogleAdsService.Search
    // to check for the job status periodically.
    // In case you wish to follow the PollUntilCompleted or PollOnce approach, make sure
    // you keep both operationResponse and service variables alive until the polling
    // completes.

    return offlineUserDataJobResourceName;
}
      

PHP

private static function addUsersToCustomerMatchUserList(
    GoogleAdsClient $googleAdsClient,
    int $customerId,
    bool $runJob,
    ?string $userListResourceName,
    ?int $offlineUserDataJobId,
    ?int $adPersonalizationConsent,
    ?int $adUserDataConsent
) {
    $offlineUserDataJobServiceClient =
        $googleAdsClient->getOfflineUserDataJobServiceClient();

    if (is_null($offlineUserDataJobId)) {
        // Creates a new offline user data job.
        $offlineUserDataJob = new OfflineUserDataJob([
            'type' => OfflineUserDataJobType::CUSTOMER_MATCH_USER_LIST,
            'customer_match_user_list_metadata' => new CustomerMatchUserListMetadata([
                'user_list' => $userListResourceName
            ])
        ]);
        // Adds consent information to the job if specified.
        if (!empty($adPersonalizationConsent) || !empty($adUserDataConsent)) {
            $consent = new Consent();
            if (!empty($adPersonalizationConsent)) {
                $consent->setAdPersonalization($adPersonalizationConsent);
            }
            if (!empty($adUserDataConsent)) {
                $consent->setAdUserData($adUserDataConsent);
            }
            // Specifies whether user consent was obtained for the data you are uploading. See
            // https://www.google.com/about/company/user-consent-policy for details.
            $offlineUserDataJob->getCustomerMatchUserListMetadata()->setConsent($consent);
        }

        // Issues a request to create the offline user data job.
        /** @var CreateOfflineUserDataJobResponse $createOfflineUserDataJobResponse */
        $createOfflineUserDataJobResponse =
            $offlineUserDataJobServiceClient->createOfflineUserDataJob(
                CreateOfflineUserDataJobRequest::build($customerId, $offlineUserDataJob)
            );
        $offlineUserDataJobResourceName = $createOfflineUserDataJobResponse->getResourceName();
        printf(
            "Created an offline user data job with resource name: '%s'.%s",
            $offlineUserDataJobResourceName,
            PHP_EOL
        );
    } else {
        // Reuses the specified offline user data job.
        $offlineUserDataJobResourceName =
            ResourceNames::forOfflineUserDataJob($customerId, $offlineUserDataJobId);
    }

    // Issues a request to add the operations to the offline user data job. This example
    // only adds a few operations, so it only sends one AddOfflineUserDataJobOperations request.
    // If your application is adding a large number of operations, split the operations into
    // batches and send multiple AddOfflineUserDataJobOperations requests for the SAME job. See
    // https://developers.google.com/google-ads/api/docs/remarketing/audience-types/customer-match#customer_match_considerations
    // and https://developers.google.com/google-ads/api/docs/best-practices/quotas#user_data
    // for more information on the per-request limits.
    /** @var AddOfflineUserDataJobOperationsResponse $operationResponse */
    $response = $offlineUserDataJobServiceClient->addOfflineUserDataJobOperations(
        AddOfflineUserDataJobOperationsRequest::build(
            $offlineUserDataJobResourceName,
            self::buildOfflineUserDataJobOperations()
        )->setEnablePartialFailure(true)
    );

    // Prints the status message if any partial failure error is returned.
    // Note: The details of each partial failure error are not printed here, you can refer to
    // the example HandlePartialFailure.php to learn more.
    if ($response->hasPartialFailureError()) {
        // Extracts the partial failure from the response status.
        $partialFailure = GoogleAdsFailures::fromAny(
            $response->getPartialFailureError()->getDetails()->getIterator()->current()
        );
        printf(
            "%d partial failure error(s) occurred: %s.%s",
            count($partialFailure->getErrors()),
            $response->getPartialFailureError()->getMessage(),
            PHP_EOL
        );
    } else {
        print 'The operations are added to the offline user data job.' . PHP_EOL;
    }

    if ($runJob === false) {
        printf(
            "Not running offline user data job '%s', as requested.%s",
            $offlineUserDataJobResourceName,
            PHP_EOL
        );
        return;
    }

    // Issues an asynchronous request to run the offline user data job for executing all added
    // operations. The result is OperationResponse. Visit the OperationResponse.php file for
    // more details.
    $offlineUserDataJobServiceClient->runOfflineUserDataJob(
        RunOfflineUserDataJobRequest::build($offlineUserDataJobResourceName)
    );

    // Offline user data jobs may take 6 hours or more to complete, so instead of waiting
    // for the job to complete, retrieves and displays the job status once. If the job is
    // completed successfully, prints information about the user list. Otherwise, prints the
    // query to use to check the job again later.
    self::checkJobStatus($googleAdsClient, $customerId, $offlineUserDataJobResourceName);
}
      

Python

def add_users_to_customer_match_user_list(
    client,
    customer_id,
    user_list_resource_name,
    run_job,
    offline_user_data_job_id,
    ad_user_data_consent,
    ad_personalization_consent,
):
    """Uses Customer Match to create and add users to a new user list.

    Args:
        client: The Google Ads client.
        customer_id: The ID for the customer that owns the user list.
        user_list_resource_name: The resource name of the user list to which to
            add users.
        run_job: If true, runs the OfflineUserDataJob after adding operations.
            Otherwise, only adds operations to the job.
        offline_user_data_job_id: ID of an existing OfflineUserDataJob in the
            PENDING state. If None, a new job is created.
        ad_user_data_consent: The consent status for ad user data for all
            members in the job.
        ad_personalization_consent: The personalization consent status for ad
            user data for all members in the job.
    """
    # Creates the OfflineUserDataJobService client.
    offline_user_data_job_service_client = client.get_service(
        "OfflineUserDataJobService"
    )

    if offline_user_data_job_id:
        # Reuses the specified offline user data job.
        offline_user_data_job_resource_name = (
            offline_user_data_job_service_client.offline_user_data_job_path(
                customer_id, offline_user_data_job_id
            )
        )
    else:
        # Creates a new offline user data job.
        offline_user_data_job = client.get_type("OfflineUserDataJob")
        offline_user_data_job.type_ = (
            client.enums.OfflineUserDataJobTypeEnum.CUSTOMER_MATCH_USER_LIST
        )
        offline_user_data_job.customer_match_user_list_metadata.user_list = (
            user_list_resource_name
        )

        # Specifies whether user consent was obtained for the data you are
        # uploading. For more details, see:
        # https://www.google.com/about/company/user-consent-policy
        if ad_user_data_consent:
            offline_user_data_job.customer_match_user_list_metadata.consent.ad_user_data = client.enums.ConsentStatusEnum[
                ad_user_data_consent
            ]
        if ad_personalization_consent:
            offline_user_data_job.customer_match_user_list_metadata.consent.ad_personalization = client.enums.ConsentStatusEnum[
                ad_personalization_consent
            ]

        # Issues a request to create an offline user data job.
        create_offline_user_data_job_response = (
            offline_user_data_job_service_client.create_offline_user_data_job(
                customer_id=customer_id, job=offline_user_data_job
            )
        )
        offline_user_data_job_resource_name = (
            create_offline_user_data_job_response.resource_name
        )
        print(
            "Created an offline user data job with resource name: "
            f"'{offline_user_data_job_resource_name}'."
        )

    # Issues a request to add the operations to the offline user data job.

    # Best Practice: This example only adds a few operations, so it only sends
    # one AddOfflineUserDataJobOperations request. If your application is adding
    # a large number of operations, split the operations into batches and send
    # multiple AddOfflineUserDataJobOperations requests for the SAME job. See
    # https://developers.google.com/google-ads/api/docs/remarketing/audience-types/customer-match#customer_match_considerations
    # and https://developers.google.com/google-ads/api/docs/best-practices/quotas#user_data
    # for more information on the per-request limits.
    request = client.get_type("AddOfflineUserDataJobOperationsRequest")
    request.resource_name = offline_user_data_job_resource_name
    request.operations = build_offline_user_data_job_operations(client)
    request.enable_partial_failure = True

    # Issues a request to add the operations to the offline user data job.
    response = offline_user_data_job_service_client.add_offline_user_data_job_operations(
        request=request
    )

    # Prints the status message if any partial failure error is returned.
    # Note: the details of each partial failure error are not printed here.
    # Refer to the error_handling/handle_partial_failure.py example to learn
    # more.
    # Extracts the partial failure from the response status.
    partial_failure = getattr(response, "partial_failure_error", None)
    if getattr(partial_failure, "code", None) != 0:
        error_details = getattr(partial_failure, "details", [])
        for error_detail in error_details:
            failure_message = client.get_type("GoogleAdsFailure")
            # Retrieve the class definition of the GoogleAdsFailure instance
            # in order to use the "deserialize" class method to parse the
            # error_detail string into a protobuf message object.
            failure_object = type(failure_message).deserialize(
                error_detail.value
            )

            for error in failure_object.errors:
                print(
                    "A partial failure at index "
                    f"{error.location.field_path_elements[0].index} occurred.\n"
                    f"Error message: {error.message}\n"
                    f"Error code: {error.error_code}"
                )

    print("The operations are added to the offline user data job.")

    if not run_job:
        print(
            "Not running offline user data job "
            f"'{offline_user_data_job_resource_name}', as requested."
        )
        return

    # Issues a request to run the offline user data job for executing all
    # added operations.
    offline_user_data_job_service_client.run_offline_user_data_job(
        resource_name=offline_user_data_job_resource_name
    )

    # Retrieves and displays the job status.
    check_job_status(client, customer_id, offline_user_data_job_resource_name)
      

Ruby

def add_users_to_customer_match_user_list(client, customer_id, run_job, user_list, job_id, ad_user_data_consent, ad_personalization_consent)
  offline_user_data_service = client.service.offline_user_data_job

  job_name = if job_id.nil?
    # Creates the offline user data job.
    offline_user_data_job = client.resource.offline_user_data_job do |job|
      job.type = :CUSTOMER_MATCH_USER_LIST
      job.customer_match_user_list_metadata =
        client.resource.customer_match_user_list_metadata do |m|
          m.user_list = user_list

          if !ad_user_data_consent.nil? || !ad_personalization_consent.nil?
            m.consent = client.resource.consent do |c|
              # Specifies whether user consent was obtained for the data you are
              # uploading. For more details, see:
              # https://www.google.com/about/company/user-consent-policy
              unless ad_user_data_consent.nil?
                c.ad_user_data = ad_user_data_consent
              end
              unless ad_personalization_consent.nil?
                c.ad_personalization = ad_personalization_consent
              end
            end
          end
        end
    end

    # Issues a request to create the offline user data job.
    response = offline_user_data_service.create_offline_user_data_job(
      customer_id: customer_id,
      job: offline_user_data_job,
    )
    offline_user_data_job_resource_name = response.resource_name
    puts "Created an offline user data job with resource name: " \
      "#{offline_user_data_job_resource_name}"

    offline_user_data_job_resource_name
  else
    client.path.offline_user_data_job(customer_id, job_id)
  end

  # Issues a request to add the operations to the offline user data job. This
  # example only adds a few operations, so it only sends one
  # AddOfflineUserDataJobOperations request.  If your application is adding a
  # large number of operations, split the operations into batches and send
  # multiple AddOfflineUserDataJobOperations requests for the SAME job. See
  # https://developers.google.com/google-ads/api/docs/remarketing/audience-types/customer-match#customer_match_considerations
  # and https://developers.google.com/google-ads/api/docs/best-practices/quotas#user_data
  # for more information on the per-request limits.
  response = offline_user_data_service.add_offline_user_data_job_operations(
    resource_name: offline_user_data_job_resource_name,
    enable_partial_failure: true,
    operations: build_offline_user_data_job_operations(client),
  )

  # Prints errors if any partial failure error is returned.
  if response.partial_failure_error
    failures = client.decode_partial_failure_error(response.partial_failure_error)
    failures.each do |failure|
      failure.errors.each do |error|
        human_readable_error_path = error
          .location
          .field_path_elements
          .map { |location_info|
            if location_info.index
              "#{location_info.field_name}[#{location_info.index}]"
            else
              "#{location_info.field_name}"
            end
          }.join(" > ")

        errmsg =  "error occured while adding operations " \
          "#{human_readable_error_path}" \
          " with value: #{error.trigger.string_value}" \
          " because #{error.message.downcase}"
        puts errmsg
      end
    end
  end
  puts "The operations are added to the offline user data job."

  unless run_job
    puts "Not running offline user data job #{job_name}, as requested."
    return
  end

  # Issues an asynchronous request to run the offline user data job
  # for executing all added operations.
  response = offline_user_data_service.run_offline_user_data_job(
    resource_name: offline_user_data_job_resource_name
  )
  puts "Asynchronous request to execute the added operations started."
  puts "Waiting until operation completes."

  # Offline user data jobs may take 6 hours or more to complete, so instead of
  # waiting for the job to complete, retrieves and displays the job status
  # once. If the job is completed successfully, prints information about the
  # user list. Otherwise, prints the query to use to check the job again later.
  check_job_status(
    client,
    customer_id,
    offline_user_data_job_resource_name,
  )
end
      

Perl

sub add_users_to_customer_match_user_list {
  my ($api_client, $customer_id, $run_job, $user_list_resource_name,
    $offline_user_data_job_id, $ad_personalization_consent,
    $ad_user_data_consent)
    = @_;

  my $offline_user_data_job_service = $api_client->OfflineUserDataJobService();

  my $offline_user_data_job_resource_name = undef;
  if (!defined $offline_user_data_job_id) {
    # Create a new offline user data job.
    my $offline_user_data_job =
      Google::Ads::GoogleAds::V17::Resources::OfflineUserDataJob->new({
        type                          => CUSTOMER_MATCH_USER_LIST,
        customerMatchUserListMetadata =>
          Google::Ads::GoogleAds::V17::Common::CustomerMatchUserListMetadata->
          new({
            userList => $user_list_resource_name
          })});

    # Add consent information to the job if specified.
    if ($ad_personalization_consent or $ad_user_data_consent) {
      my $consent = Google::Ads::GoogleAds::V17::Common::Consent->new({});
      if ($ad_personalization_consent) {
        $consent->{adPersonalization} = $ad_personalization_consent;
      }
      if ($ad_user_data_consent) {
        $consent->{adUserData} = $ad_user_data_consent;
      }
      # Specify whether user consent was obtained for the data you are uploading.
      # See https://www.google.com/about/company/user-consent-policy for details.
      $offline_user_data_job->{customerMatchUserListMetadata}{consent} =
        $consent;
    }

    # Issue a request to create the offline user data job.
    my $create_offline_user_data_job_response =
      $offline_user_data_job_service->create({
        customerId => $customer_id,
        job        => $offline_user_data_job
      });
    $offline_user_data_job_resource_name =
      $create_offline_user_data_job_response->{resourceName};
    printf
      "Created an offline user data job with resource name: '%s'.\n",
      $offline_user_data_job_resource_name;
  } else {
    # Reuse the specified offline user data job.
    $offline_user_data_job_resource_name =
      Google::Ads::GoogleAds::V17::Utils::ResourceNames::offline_user_data_job(
      $customer_id, $offline_user_data_job_id);
  }

  # Issue a request to add the operations to the offline user data job.
  # This example only adds a few operations, so it only sends one AddOfflineUserDataJobOperations
  # request. If your application is adding a large number of operations, split
  # the operations into batches and send multiple AddOfflineUserDataJobOperations
  # requests for the SAME job. See
  # https://developers.google.com/google-ads/api/docs/remarketing/audience-types/customer-match#customer_match_considerations
  # and https://developers.google.com/google-ads/api/docs/best-practices/quotas#user_data
  # for more information on the per-request limits.
  my $user_data_job_operations = build_offline_user_data_job_operations();
  my $response                 = $offline_user_data_job_service->add_operations(
    {
      resourceName         => $offline_user_data_job_resource_name,
      enablePartialFailure => "true",
      operations           => $user_data_job_operations
    });

  # Print the status message if any partial failure error is returned.
  # Note: The details of each partial failure error are not printed here, you can
  # refer to the example handle_partial_failure.pl to learn more.
  if ($response->{partialFailureError}) {
    # Extract the partial failure from the response status.
    my $partial_failure = $response->{partialFailureError}{details}[0];
    printf "Encountered %d partial failure errors while adding %d operations " .
      "to the offline user data job: '%s'. Only the successfully added " .
      "operations will be executed when the job runs.\n",
      scalar @{$partial_failure->{errors}}, scalar @$user_data_job_operations,
      $response->{partialFailureError}{message};
  } else {
    printf "Successfully added %d operations to the offline user data job.\n",
      scalar @$user_data_job_operations;
  }

  if (!defined $run_job) {
    print
"Not running offline user data job $offline_user_data_job_resource_name, as requested.\n";
    return;
  }

  # Issue an asynchronous request to run the offline user data job for executing
  # all added operations.
  my $operation_response = $offline_user_data_job_service->run({
    resourceName => $offline_user_data_job_resource_name
  });

  # Offline user data jobs may take 6 hours or more to complete, so instead of waiting
  # for the job to complete, this example retrieves and displays the job status once.
  # If the job is completed successfully, it prints information about the user list.
  # Otherwise, it prints, the query to use to check the job status again later.
  check_job_status($api_client, $customer_id,
    $offline_user_data_job_resource_name);
}
      

Einzelne Nutzer mithilfe von Kennungen entfernen

So entfernen Sie einzelne Nutzer:

  • Legen Sie das Attribut remove für eine OfflineUserDataJobOperation UserData-Objekt ist.

  • Ein oder mehrere UserIdentifier-Objekte hinzufügen zu der user_identifiers[] wiederholt ein. Mit der ID eines einzelnen Nutzers können Sie einen Nutzer aus einer Liste entfernen, auch wenn wenn mehrere Kennzeichnungen eingereicht wurden, die mit dem Nutzer übereinstimmen.

Alle Daten auf einmal aus der Liste entfernen

Wenn Sie alle Nutzer aus einer Liste entfernen möchten, setzen Sie remove_all in einertrue OfflineUserDataJobOperation, dann Problem melden RunOfflineUserDataJob -Anfrage mit dem Ressourcennamen, der mit dem Vorgang remove_all verknüpft ist.

Wenn ein remove_all-Vorgang enthalten ist, muss dies der erste Operation in einem Job. Ist dies nicht der Fall, wird beim Ausführen des Jobs INVALID_OPERATION_ORDER Fehler. Um die Mitglieder einer Nutzerliste vollständig durch neue Mitglieder zu ersetzen, die Vorgänge in AddOfflineUserDataJobOperationsRequest in dieser Sequenz:

  1. Setzen Sie remove_all auf true in einer OfflineUserDataJobOperation

  2. Fügen Sie für jedes neue Mitglied einen create-Vorgang hinzu und legen Sie dessen UserData in OfflineUserDataJobOperation.

remove_all-Vorgänge werden stündlich ausgeführt und können bis zu 24 Stunden dauern.

Empfehlungen zur Aktualisierung der Kundenliste

Sie können Empfehlungen vom Typ REFRESH_CUSTOMER_MATCH_LIST um Kundenlisten zu identifizieren, die schon länger nicht mehr aktualisiert wurden. Dies ist Das ist besonders nützlich, wenn Sie ein Drittanbieter-Werbetreibender sind, der seinen Nutzern um Kundenlisten zu verwalten.

Weitere Informationen zur Verwendung von Empfehlungen finden Sie in der Leitfaden zum Optimierungsfaktor und Empfehlungen

Liste entfernen

Verwenden Sie die Methode UserListService.mutate_user_lists remove-Vorgang senden unter Verwendung des Ressourcennamens der Nutzerliste, die Sie entfernen möchten.

Liste mit UserDataService aktualisieren

Der UserDataService hat ein Limit von 10 Vorgänge und insgesamt 100 user_identifiers pro Anfrage. Die Lösung ist also besser geeignet. für kleine Updates. Wenn beispielsweise jedes Ihrer UserData-Objekte ein UserIdentifier für hashed_email und weitere UserIdentifier für hashed_phone_number enthält, kann Ihre Anfrage höchstens 50 UserData enthalten Objekte.

UserDataService enthält die Methode UploadUserData, die einen UploadUserDataRequest Zusätzlich zu Über den customer_id akzeptiert der UploadUserDataRequest eine Liste von Vorgängen und ein Pflichtfeld namens customer_match_user_list_metadata, das mit dem Ressourcennamen gefüllt wird der Remarketing-Liste aus.

Erstellen Sie zuerst eine UploadUserDataRequest-Instanz, in die Sie Werte einfügen. customer_id und customer_match_user_list_metadata:

Java

// Creates a request to add user data operations to the user list based on email addresses.
String userListResourceName = ResourceNames.userList(customerId, userListId);
UploadUserDataRequest.Builder uploadUserDataRequest =
   UploadUserDataRequest.newBuilder()
       .setCustomerId(String.valueOf(customerId))
       .setCustomerMatchUserListMetadata(
           CustomerMatchUserListMetadata.newBuilder()
               .setUserList(StringValue.of(userListResourceName))
               .build());

Legen Sie CrmBasedUserListInfo.upload_key_type fest, um Kontaktinformationen von Nutzern hochzuladen. an CONTACT_INFO.

Fügen Sie zuerst die Vorgänge zum Objekt UploadUserDataRequest hinzu. Jeder Vorgang enthält ein create-Feld mit UserData Objekte, die eine oder mehrere UserIdentifier enthalten Instanzen. Jede UserIdentifier enthält eine Information zur Identifizierung oder es kann sich um verschiedene Typen handeln, die jeweils nachfolgend beschrieben werden.

Wenn Sie E-Mail-Adressen von Kunden hochladen möchten, müssen Sie eine neue UserDataOperation und füllen Sie seine Erstellung mit einem UserData-Objekt. Das UserData-Objekt akzeptiert eine Liste von user_identifiers Füllen Sie das Feld hashed_email mit der E-Mail-Adresse des Kunden aus. Adressen.

Java

ImmutableList<String> EMAILS =
  ImmutableList.of("client1@example.com", "client2@example.com", " Client3@example.com ");

// Hash normalized email addresses based on SHA-256 hashing algorithm.
List<UserDataOperation> userDataOperations = new ArrayList<>(EMAILS.size());
for (String email : EMAILS) {
 UserDataOperation userDataOperation =
     UserDataOperation.newBuilder()
         .setCreate(
             UserData.newBuilder()
                 .addUserIdentifiers(
                     UserIdentifier.newBuilder()
                        .setHashedEmail(StringValue.of(toSHA256String(email)))
                         .build())
                 .build())
         .build();
 userDataOperations.add(userDataOperation);
}
uploadUserDataRequest.addAllOperations(userDataOperations);

Das Hochladen des Nutzers address_info funktioniert ähnlich wie das Hochladen von E-Mail-Adressen von Nutzern. Statt jedoch ein hashed_email zu übergeben, füllen Sie das Feld address_info mit Daten. mit einem OfflineUserAddressInfo-Objekt mit first_name, last_name, country_code und postal_code. Wie E-Mail-Adressen werden first_name und last_name berücksichtigt. personenidentifizierbaren Informationen und müssen vor dem Hochladen gehasht werden.

Java

String firstName = "Alex";
String lastName = "Quinn";
String countryCode = "US";
String postalCode = "94045";

UserIdentifier userIdentifierWithAddress =
   UserIdentifier.newBuilder()
       .setAddressInfo(
           OfflineUserAddressInfo.newBuilder()
               // First and last name must be normalized and hashed.
               .setHashedFirstName(
                   StringValue.of(toSHA256String(firstName)))
               .setHashedLastName(StringValue.of(toSHA256String(lastName)))
               // Country code and zip code are sent in plaintext.
               .setCountryCode(StringValue.of(countryCode))
               .setPostalCode(StringValue.of(postalCode))
               .build())
       .build();

UserDataOperation userDataOperation =
   UserDataOperation.newBuilder()
       .setCreate(
           UserData.newBuilder()
               .addUserIdentifiers(userIdentifierWithAddress)
               .build())
       .build();
uploadUserDataRequest.addOperations(userDataOperation);

Nachdem Sie der Instanz UploadUserDataRequest Vorgänge hinzugefügt haben, rufen Sie die Methode Methode uploadUserData für den UserDataServiceClient, an den die Anfrage gesendet werden soll mit dem Google Ads API-Server. Sie können sehen, ob die Anfrage erfolgreich war, indem Sie den Anzahl der Vorgänge und Uploadzeit im Antwortobjekt. Denken Sie daran, dass es Es kann mehrere Stunden dauern, bis die Liste mit Mitgliedern gefüllt ist.

Java

// Creates the user data service client.
try (UserDataServiceClient userDataServiceClient =
   googleAdsClient.getLatestVersion().createUserDataServiceClient()) {
 // Add operations to the user list based on the user data type.
 UploadUserDataResponse response =
     userDataServiceClient.uploadUserData(uploadUserDataRequest.build());

 // Displays the results.
 // Reminder: it may take several hours for the list to be populated with members.
 System.out.printf(
     "Received %d operations at %s",
     response.getReceivedOperationsCount().getValue(),
     response.getUploadDateTime().getValue());
}

Ausrichtungsebene der Liste wechseln

Wenn Sie die Ebene ändern müssen, auf der Ihre Liste ausgerichtet ist, z. B. von Ausrichtung von Anzeigengruppen auf Kampagnenebene, konsultieren Sie die Anleitung zur Umstellung der Ausrichtungsebenen. .

Listenleistung prüfen

Wenn Sie Leistungsdaten für Ihre Zielgruppensegmente erfassen möchten, starten Sie eine Suche für die ad_group_audience_view oder die Ressource campaign_audience_view. Sehen Sie sich z. B. conversions oder cost_per_conversion an, um um zu ermitteln, ob die Ausrichtung auf das Zielgruppensegment und passen Sie Ihre Gebotsanpassungen entsprechend an.

SELECT
  ad_group_criterion.criterion_id,
  metrics.conversions,
  metrics.cost_per_conversion
FROM ad_group_audience_view

Sie sollten mindestens zwei Wochen warten, bevor Sie Gebote auf Basis der Zugriffszahlen optimieren. auf das Konto ein.