Müşteri listesi güncellemeleri, kaldırma işlemleri ve raporlama için bu kılavuza bakın.
Çevrimdışı Kullanıcı Verisiİş Hizmeti ile liste güncelleme
Müşteri listelerinizi oluşturup hedeflemeyi ayarladıktan sonra, bunları düzenli olarak yenilemek en iyi yöntemdir.
Listelerinizi en son verilerle güncellemek için, tüm kullanıcıları listeden kaldırıp sıfırdan yüklemek yerine tek tek kullanıcı eklemek veya kaldırmak genellikle daha verimlidir.
Bir listeye ekleme
Mevcut bir listeye ekleme yapmak için, yeni müşteri listesi oluştururken yaptığınız gibi bir OfflineUserDataJob oluşturun.
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);
}
Tanımlayıcıları kullanarak kullanıcıları tek tek kaldırma
Tek tek kullanıcıları kaldırmak için:
OfflineUserDataJobOperationöğesindekiremoveözelliğini,UserDatanesnesine eşit olacak şekilde ayarlayın.Tekrarlanan
user_identifiers[]alanına bir veya daha fazlaUserIdentifiernesnesi ekleyin. Bir kullanıcıyı listeden kaldırmak için tek bir kullanıcı tanımlayıcısı, kullanıcıyla eşleşen birden fazla tanımlayıcı gönderilmiş olsa bile kullanılabilir.
Listedeki tüm verileri tek seferde kaldırma
Bir listedeki tüm kullanıcıları kaldırmak için bir OfflineUserDataJobOperation içinde remove_all öğesini true olarak ayarlayın, ardından remove_all işlemiyle ilişkili kaynak adıyla bir RunOfflineUserDataJob isteği gönderin.
Bir remove_all işlemi dahil edildiğinde, bunun bir işteki ilk işlem olması gerektiğini unutmayın. Aksi halde işin çalıştırılması INVALID_OPERATION_ORDER hatası döndürür. Bir kullanıcı listesinin üyelerini tamamen yeni üyelerle değiştirmek için AddOfflineUserDataJobOperationsRequest içindeki işlemleri şu sırayla sıralayın:
OfflineUserDataJobOperationiçinderemove_allöğesinitrueolarak ayarlayın.Her yeni üye için bir
createişlemi ekleyerek, üyeninUserDatadeğeriniOfflineUserDataJobOperationiçinde ayarlayın.
remove_all işlemleri saatlik olarak yürütülür ve 24 saate kadar çalışabilir.
Müşteri listesini yenileme önerileri
Bir süredir güncellenmemiş müşteri listelerini tespit etmek için REFRESH_CUSTOMER_MATCH_LIST türündeki önerileri alabilirsiniz. Bu özellik, özellikle de kullanıcılarının müşteri listelerini yönetmelerine olanak tanıyan bir üçüncü taraf reklamverenseniz yararlıdır.
Önerilerle çalışma hakkında daha fazla bilgi için Optimizasyon puanı ve öneriler kılavuzunu inceleyin.
Liste kaldırma
Kaldırmak istediğiniz kullanıcı listesinin kaynak adını kullanarak bir remove işlemi göndermek için UserListService.mutate_user_lists yöntemini kullanın.
UserDataService ile listeleri güncelleme
UserDataService, 10 işlem ve istek başına toplam 100 user_identifiers ile sınırlıdır. Bu nedenle küçük güncellemeler için daha uygundur. Örneğin, UserData nesnelerinizin her birinde hashed_email için bir UserIdentifier ve hashed_phone_number için başka bir UserIdentifier varsa isteğiniz en fazla 50 UserData nesnesi içerebilir.
UserDataService, UploadUserDataRequest kabul eden UploadUserData yöntemini içeriyor. customer_id, customer_id öğesine ek olarak UploadUserDataRequest, kişi oluşturma işlemlerinin bir listesini ve hedeflenecek yeniden pazarlama listesinin kaynak adıyla doldurulan customer_match_user_list_metadata adlı zorunlu alanı kabul eder.
customer_id ve customer_match_user_list_metadata alanlarını dolduracağınız bir UploadUserDataRequest örneği oluşturarak başlayın:
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());
Kullanıcı iletişim bilgilerini yüklemek için CrmBasedUserListInfo.upload_key_type değerini CONTACT_INFO olarak ayarlayın.
İlk olarak, işlemleri UploadUserDataRequest nesnesine ekleyin. Her işlemde, bir veya daha fazla UserIdentifier örneğini içeren UserData nesneleriyle doldurulmuş bir create alanı bulunur. Her UserIdentifier, bir tanımlayıcı bilgi içerir veya her biri aşağıda açıklanan birkaç farklı türde olabilir.
Müşteri e-posta adreslerini yüklemek için yeni bir UserDataOperation oluşturun ve oluşturma alanını UserData nesnesiyle doldurun. UserData nesnesi, user_identifiers listesini kabul eder. hashed_email alanını müşteri e-posta adresleriyle doldurun.
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);
address_info kullanıcısını yüklemek, kullanıcı e-posta adreslerini yüklemeye benzer.
Ancak hashed_email iletmek yerine address_info alanını kullanıcının first_name, last_name, country_code vepostal_code öğelerini içeren bir OfflineUserAddressInfo nesnesiyle doldurun. E-posta adresleri gibi first_name ve last_name da kimliği tanımlayabilecek bilgiler olarak kabul edilir ve yüklemeden önce karma oluşturma işlemi uygulanmalıdır.
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);
UploadUserDataRequest örneğine işlemler ekledikten sonra, isteği Google Ads API sunucusuna göndermek için UserDataServiceClient üzerinde uploadUserData yöntemini çağırın. İşlem sayısını ve yükleme süresini yanıt nesnesine alarak isteğin başarılı olup olmadığını görebilirsiniz. Listenin üyelerle doldurulmasının birkaç saat sürebileceğini unutmayın.
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());
}
Liste hedefleme düzeyini değiştir
Listenizin hedeflediği düzeyi değiştirmeniz gerekiyorsa (örneğin, reklam grubu düzeyinden kampanya düzeyinde hedeflemeye) hedefleme düzeylerini değiştirme kılavuzunu inceleyin.
Liste performansını inceleyin
Kitle segmentlerinizin performans verilerini toplamak için ad_group_audience_view veya campaign_audience_view kaynağına yönelik bir arama isteği gönderin.
Örneğin, kitle segmenti hedeflemenin gerçekten daha fazla dönüşüm sağlayıp sağlamadığını belirlemek için conversions veya cost_per_conversion verilerine bakabilir ve ardından teklif değiştiricilerinizi buna göre ayarlayabilirsiniz.
SELECT
ad_group_criterion.criterion_id,
metrics.conversions,
metrics.cost_per_conversion
FROM ad_group_audience_view
Teklifleri, hesaptaki trafik hacmine göre optimize etmeden önce en az iki hafta beklemenizi öneririz.