예측

소개

이 가이드에서는 Google Ad Manager API에서 예측을 사용하는 다양한 방법을 설명합니다.

트래픽 예측

트래픽 예측을 사용하면 이전 트래픽과 향후 노출 기회를 함께 확인하여 인벤토리를 더 효과적으로 분류하고 패키징할 수 있습니다.

자바

// Create the date range. Include the previous and next 7 days.
Interval interval =
    new Interval(
        Instant.now().plus(Duration.standardDays(-7)),
        Instant.now().plus(Duration.standardDays(7)));
DateRange dateRange = new DateRange();
dateRange.setStartDate(DateTimes.toDateTime(interval.getStart()).getDate());
dateRange.setEndDate(DateTimes.toDateTime(interval.getEnd()).getDate());

// Request the traffic data.
TrafficDataRequest trafficDataRequest = new TrafficDataRequest();
trafficDataRequest.setRequestedDateRange(dateRange);
trafficDataRequest.setTargeting(targeting);
TrafficDataResponse trafficData = forecastService.getTrafficData(trafficDataRequest);

Python

# Create a start date that's 7 days in the past and an end date that's 7 days
# in the future.
today = datetime.date.today()
start_date = today - datetime.timedelta(days=7)
end_date = today + datetime.timedelta(days=7)

# Create targeting.
targeting = {
    'inventoryTargeting': {
        'targetedAdUnits': [
            {
                'includeDescendants': True,
                'adUnitId': root_ad_unit_id,
            }
        ]
    }
}

# Request the traffic forecast data.
traffic_data = forecast_service.getTrafficData({
    'targeting': targeting,
    'requestedDateRange': {
        'startDate': start_date,
        'endDate': end_date
    }
})

PHP

// Create the date range. Include the previous and next 7 days.
$startDate = AdManagerDateTimes::fromDateTime(new DateTime('-7 day'))
    ->getDate();
$endDate = AdManagerDateTimes::fromDateTime(new DateTime('+7 day'))
    ->getDate();
$dateRange = new DateRange();
$dateRange->setStartDate($startDate);
$dateRange->setEndDate($endDate);

// Request the traffic forecast data.
$trafficDataRequest = new TrafficDataRequest();
$trafficDataRequest->setRequestedDateRange($dateRange);
$trafficDataRequest->setTargeting($targeting);
$trafficData = $forecastService->getTrafficData($trafficDataRequest);

C#

TrafficDataRequest trafficDataRequest = new TrafficDataRequest() {
    requestedDateRange = new DateRange() {
        startDate =
            DateTimeUtilities.FromDateTime(startDate, "America/New_York").date,
        endDate = DateTimeUtilities.FromDateTime(endDate, "America/New_York").date
    },
    targeting = new Targeting() {
        inventoryTargeting = new InventoryTargeting()
        {
            targetedAdUnits = new AdUnitTargeting[] {
                new AdUnitTargeting() {
                 adUnitId = rootAdUnitId,
                 includeDescendants = true
                }
            }
        }
    }
};
TrafficDataResponse trafficData =
    forecastService.getTrafficData(trafficDataRequest);

Ruby

# Create a start date that's 7 days in the past and an end date that's 7 days
# in the future.
today = ad_manager.today
start_date = today - 7
end_date = today + 7

# Create targeting.
targeting = {
  :inventory_targeting => {
    :targeted_ad_units => [
      {
        :include_descendants => true,
        :ad_unit_id => root_ad_unit_id
      }
    ]
  }
}

# Request the traffic forecast data.
traffic_data = forecast_service.get_traffic_data({
  :targeting => targeting,
  :requested_date_range => {
    :start_date => start_date.to_h, :end_date => end_date.to_h
  }
})

가용성 예측

AvailabilityForecast는 광고 항목을 예약할 수 있는 사용 가능한 최대 단위를 보고합니다. 이 예측은 UI의 재고 확인 기능과 유사합니다.

예측에는 사용 가능, 일치, 가능, 게재, 예약된 단위가 포함됩니다. AvailabilityForecastOptions에 설정된 옵션에 따라 경쟁하는 모든 광고 항목과 각 타겟팅 분석에 사용 가능한 단위도 포함될 수 있습니다. 기본적으로 둘 다 예측에 포함되지 않습니다.

타겟팅 분석에는 각 타겟팅 기준에 대해 일치하고 사용 가능한 단위가 포함됩니다. 이러한 분류 항목은 광고 항목 타겟팅에 따라 자동으로 생성됩니다. 예를 들어 광고 단위 ID 123456을 타겟팅하는 광고 항목에는 다음과 유사한 분석이 포함됩니다.

<targetingCriteriaBreakdowns>
  <targetingDimension>AD_UNIT</targetingDimension>
  <targetingCriteriaId>123456</targetingCriteriaId>
  <targetingCriteriaName>My Ad Unit Name</targetingCriteriaName>
   <excluded>false</excluded>
   <availableUnits>1000</availableUnits>
   <matchedUnits>2300</matchedUnits>
</targetingCriteriaBreakdowns>

기존 광고 항목 또는 예상 광고 항목에 대해 게재 가능성 예측을 실행할 수 있습니다.

기존 LineItem

ID를 사용하여 기존 광고 항목의 사용 가능 여부 예측을 실행할 수 있습니다.

자바

  // Get the ForecastService.
  ForecastServiceInterface forecastService =
      adManagerServices.get(session, ForecastServiceInterface.class);

  // Get forecast for line item.
  AvailabilityForecastOptions options = new AvailabilityForecastOptions();
  options.setIncludeContendingLineItems(true);
  options.setIncludeTargetingCriteriaBreakdown(true);
  AvailabilityForecast forecast =
      forecastService.getAvailabilityForecastById(lineItemId, options);

  long matched = forecast.getMatchedUnits();
  double availablePercent = (forecast.getAvailableUnits() / (matched * 1.0)) * 100;
  String unitType = forecast.getUnitType().toString().toLowerCase();

  System.out.printf("%d %s matched.%n", matched, unitType);
  System.out.printf("%.2f%% %s available.%n", availablePercent, unitType);

  if (forecast.getPossibleUnits() != null) {
    double possiblePercent = (forecast.getPossibleUnits() / (matched * 1.0)) * 100;
    System.out.printf("%.2f%% %s possible.%n", possiblePercent, unitType);
  }

  System.out.printf(
      "%d contending line items.%n",
      forecast.getContendingLineItems() == null ? 0 : forecast.getContendingLineItems().length);

Python

  # Initialize appropriate service.
  forecast_service = client.GetService('ForecastService', version='v202602')

  # Set forecasting options.
  forecast_options = {
      'includeContendingLineItems': True,
      'includeTargetingCriteriaBreakdown': True,
  }

  # Get forecast for line item.
  forecast = forecast_service.getAvailabilityForecastById(
      line_item_id, forecast_options)
  matched = int(forecast['matchedUnits'])
  available_units = int(forecast['availableUnits'])

  if matched > 0:
    available_percent = (float(available_units) / matched) * 100.
  else:
    available_percent = 0

  contending_line_items = getattr(forecast, 'contentingLineItems', [])

  # Display results.
  print('%s %s matched.' % (matched, forecast['unitType'].lower()))
  print('%s%% %s available.' % (
      available_percent, forecast['unitType'].lower()))
  print('%d contending line items.' % len(contending_line_items))

  if 'possibleUnits' in forecast and matched:
    possible_percent = (int(forecast['possibleUnits'])/float(matched)) * 100.
    print('%s%% %s possible' % (possible_percent, forecast['unitType'].lower()))

PHP

      $forecastService = $serviceFactory->createForecastService($session);

      // Get forecast for line item.
      $options = new AvailabilityForecastOptions();
      $options->setIncludeContendingLineItems(true);
      $options->setIncludeTargetingCriteriaBreakdown(true);
      $forecast = $forecastService->getAvailabilityForecastById(
          $lineItemId,
          $options
      );

      // Print out forecast results.
      $matchedUnits = $forecast->getMatchedUnits();
      $unitType = strtolower($forecast->getUnitType());
      printf("%d %s matched.%s", $matchedUnits, $unitType, PHP_EOL);

      if ($matchedUnits > 0) {
          $availableUnits = $forecast->getAvailableUnits();
          $percentAvailableUnits = $availableUnits / $matchedUnits * 100;
          $possibleUnits = $forecast->getPossibleUnits();
          $percentPossibleUnits = $possibleUnits / $matchedUnits * 100;
          printf(
              "%.2d%% %s available.%s",
              $percentAvailableUnits,
              $unitType,
              PHP_EOL
          );
          printf(
              "%.2d%% %s possible.%s",
              $percentPossibleUnits,
              $unitType,
              PHP_EOL
          );
      }

      printf(
          "%d contending line items.%s",
          count($forecast->getContendingLineItems()),
          PHP_EOL
      );

C#

using (ForecastService forecastService = user.GetService<ForecastService>())
{
// Get forecast for line item.
AvailabilityForecastOptions options = new AvailabilityForecastOptions();
options.includeContendingLineItems = true;
options.includeTargetingCriteriaBreakdown = true;
AvailabilityForecast forecast =
    forecastService.getAvailabilityForecastById(lineItemId, options);

// Display results.
long matched = forecast.matchedUnits;
double availablePercent =
    (double) (forecast.availableUnits / (matched * 1.0)) * 100;
String unitType = forecast.unitType.ToString().ToLower();

Console.WriteLine("{0} {1} matched.\n{2} % {3} available.", matched, unitType,
    availablePercent, unitType);
if (forecast.possibleUnitsSpecified)
{
    double possiblePercent =
        (double) (forecast.possibleUnits / (matched * 1.0)) * 100;
    Console.WriteLine(possiblePercent + "% " + unitType + " possible.\n");
}

Console.WriteLine("{0} contending line items.",
    (forecast.contendingLineItems != null)
        ? forecast.contendingLineItems.Length
        : 0);

Ruby

  # Get the ForecastService.
  forecast_service = ad_manager.service(:ForecastService, API_VERSION)
  # Set forecasting options.
  forecast_options = {
    :include_contending_line_items => True,
    :include_targeting_criteria_breakdown => True,
  }

  # Get forecast for the line item.
  forecast = forecast_service.get_availability_forecast_by_id(
      line_item_id, forecast_options
  )

  unless forecast.nil?
    # Display results.
    matched = forecast[:matched_units]
    available_percent = forecast[:available_units] * 100.0 / matched
    unit_type = forecast[:unit_type].to_s.downcase
    puts '%.2f %s matched.' % [matched, unit_type]
    puts '%.2f%% of %s available.' % [available_percent, unit_type]
    puts '%d contending line items.' % forecast[:contending_line_items].size
    unless forecast[:possible_units].nil?
      possible_percent = forecast[:possible_units] * 100.0 / matched
      puts '%.2f%% of %s possible.' % [possible_percent, unit_type]
    end
  end

이 예시의 출력은 다음과 비슷합니다.

100 clicks matched.
2 contending line items.

예상 광고 항목

또는 예상 광고 항목을 인스턴스화하고 유지하지 않고 예측할 수 있습니다. 이렇게 하려면 로컬 광고 항목 객체를 인스턴스화하고 ProspectiveLineItem에 설정합니다. 광고주 ID를 설정하면 예측에서 통합 차단 규칙도 고려합니다.

자바

  // Get forecast for prospective line item.
  ProspectiveLineItem prospectiveLineItem = new ProspectiveLineItem();
  prospectiveLineItem.setAdvertiserId(advertiserId);
  prospectiveLineItem.setLineItem(lineItem);
  AvailabilityForecastOptions options = new AvailabilityForecastOptions();
  options.setIncludeContendingLineItems(true);
  options.setIncludeTargetingCriteriaBreakdown(true);

  AvailabilityForecast forecast =
      forecastService.getAvailabilityForecast(prospectiveLineItem, options);

Python

  prospective_line_item = {
      'lineItem': line_item,
      'advertiserId': advertiser_id
  }

  # Set forecasting options.
  forecast_options = {
      'includeContendingLineItems': True,
      # The field includeTargetingCriteriaBreakdown can only be set if
      # breakdowns are not manually specified.
      # 'includeTargetingCriteriaBreakdown': True,
      'breakdown': {
          'timeWindows': [
              now_datetime,
              now_datetime + datetime.timedelta(days=1),
              now_datetime + datetime.timedelta(days=2),
              now_datetime + datetime.timedelta(days=3),
              now_datetime + datetime.timedelta(days=4),
              end_datetime
          ],
          'targets': [
              {
                  # Optional, the name field is only used to identify this
                  # breakdown in the response.
                  'name': 'United States',
                  'targeting': {
                      'inventoryTargeting': {
                          'targetedAdUnits': [
                              {
                                  'includeDescendants': True,
                                  'adUnitId': root_ad_unit_id,
                              }
                          ]
                      },
                      'geoTargeting': {
                          'targetedLocations': [
                              {
                                  'id': '2840',
                                  'displayName': 'US'
                              }
                          ]
                      }
                  }
              },
              {
                  # Optional, the name field is only used to identify this
                  # breakdown in the response.
                  'name': 'Geneva',
                  'targeting': {
                      'inventoryTargeting': {
                          'targetedAdUnits': [
                              {
                                  'includeDescendants': True,
                                  'adUnitId': root_ad_unit_id,
                              }
                          ]
                      },
                      'geoTargeting': {
                          'targetedLocations': [
                              {
                                  'id': '20133',
                                  'displayName': 'Geneva'
                              }
                          ]
                      }
                  }
              }
          ]
      }
  }

  # Get forecast.
  forecast = forecast_service.getAvailabilityForecast(
      prospective_line_item, forecast_options)

PHP

      // Get forecast for prospective line item.
      $prospectiveLineItem = new ProspectiveLineItem();
      $prospectiveLineItem->setAdvertiserId($advertiserId);
      $prospectiveLineItem->setLineItem($lineItem);
      $options = new AvailabilityForecastOptions();
      $options->setIncludeContendingLineItems(true);
      $options->setIncludeTargetingCriteriaBreakdown(true);

      $forecast = $forecastService->getAvailabilityForecast(
          $prospectiveLineItem,
          $options
      );

C#

// Get availability forecast.
AvailabilityForecastOptions options = new AvailabilityForecastOptions()
{
    includeContendingLineItems = true,
    // Targeting criteria breakdown can only be included if breakdowns
    // are not speficied.
    includeTargetingCriteriaBreakdown = false,
    breakdown = new ForecastBreakdownOptions
    {
        timeWindows = new DateTime[] {
            lineItem.startDateTime,
            DateTimeUtilities.FromDateTime(tomorrow.AddDays(1),
                "America/New_York"),
            DateTimeUtilities.FromDateTime(tomorrow.AddDays(2),
                "America/New_York"),
            DateTimeUtilities.FromDateTime(tomorrow.AddDays(3),
                "America/New_York"),
            DateTimeUtilities.FromDateTime(tomorrow.AddDays(4),
                "America/New_York"),
            lineItem.endDateTime
        },
        targets = new ForecastBreakdownTarget[] {
            new ForecastBreakdownTarget()
            {
                // Optional name field to identify this breakdown
                // in the response.
                name = "United States",
                targeting = new Targeting()
                {
                    inventoryTargeting = new InventoryTargeting()
                    {
                        targetedAdUnits = new AdUnitTargeting[] {
                            new AdUnitTargeting()
                            {
                                adUnitId = rootAdUnitId,
                                includeDescendants = true
                            }
                        }
                    },
                    geoTargeting = new GeoTargeting()
                    {
                        targetedLocations = new Location[] {
                            new Location() { id = 2840L }
                        }
                    }
                }
            }, new ForecastBreakdownTarget()
            {
                // Optional name field to identify this breakdown
                // in the response.
                name = "Geneva",
                targeting = new Targeting()
                {
                    inventoryTargeting = new InventoryTargeting()
                    {
                        targetedAdUnits = new AdUnitTargeting[] {
                            new AdUnitTargeting()
                            {
                                adUnitId = rootAdUnitId,
                                includeDescendants = true
                            }
                        }
                    },
                    geoTargeting = new GeoTargeting()
                    {
                        targetedLocations = new Location[] {
                            new Location () { id = 20133L }
                        }
                    }
                }
            }
        }
    }
};
ProspectiveLineItem prospectiveLineItem = new ProspectiveLineItem()
{
    advertiserId = advertiserId,
    lineItem = lineItem
};
AvailabilityForecast forecast =
  forecastService.getAvailabilityForecast(prospectiveLineItem, options);

Ruby

  prospective_line_item = {
    :advertiser_id => advertiser_id,
    :line_item => line_item
  }

  # Set forecasting options.
  forecast_options = {
    :include_contending_line_items => true,
    # The field includeTargetingCriteriaBreakdown can only be set if breakdowns
    # are not mannually specified.
    # :include_targeting_criteria_breakdown => true,
    :breakdown => {
      # Break down forecast by day from start_time to end_time
      :time_windows => time_windows,
      # Break down forecast by any targeting configuration
      :targets => [
        {
          # Optional, the name field is only used to identify this breakdown in
          # the response.
          :name => 'United States',
          :targeting => {
            :inventory_targeting => targeting[:inventory_targeting],
            :geo_targeting => {
              :targeted_locations => [
                {
                  :id => '2840',
                  :display_name => 'US'
                }
              ]
            }
          }
        },
        {
          # Optional, the name field is only used to identify this breakdown in
          # the response.
          :name => 'Geneva',
          :targeting => {
            :inventory_targeting => targeting[:inventory_targeting],
            :geo_targeting => {
              :targeted_locations => [
                {
                  :id => '20133',
                  :display_name => 'Geneva'
                }
              ]
            }
          }
        }
      ]
    }
  }

  # Get forecast for the line item.
  forecast = forecast_service.get_availability_forecast(
      prospective_line_item, forecast_options)

게재 예측

경쟁하는 여러 광고 항목의 게재를 시뮬레이션하려면 DeliveryForecast를 사용하면 됩니다.

기존 LineItems

ID를 사용하여 기존 광고 항목의 게재 예측을 실행할 수 있습니다.

자바

  // Get the ForecastService.
  ForecastServiceInterface forecastService =
      adManagerServices.get(session, ForecastServiceInterface.class);

  DeliveryForecastOptions options = new DeliveryForecastOptions();

  DeliveryForecast forecast =
      forecastService.getDeliveryForecastByIds(Longs.toArray(lineItemIds), options);

  for (LineItemDeliveryForecast lineItemForecast : forecast.getLineItemDeliveryForecasts()) {
    String unitType = lineItemForecast.getUnitType().toString().toLowerCase();
    System.out.printf("Forecast for line item %d:%n", lineItemForecast.getLineItemId());
    System.out.printf("\t%d %s matched%n", lineItemForecast.getMatchedUnits(), unitType);
    System.out.printf("\t%d %s delivered%n", lineItemForecast.getDeliveredUnits(), unitType);
    System.out.printf(
        "\t%d %s predicted%n", lineItemForecast.getPredictedDeliveryUnits(), unitType);
  }

Python

  # Initialize appropriate service.
  forecast_service = client.GetService('ForecastService', version='v202602')

  # Get forecast for line item.
  forecast = forecast_service.getDeliveryForecastByIds(
      [line_item_id1, line_item_id2], {'ignoredLineItemIds': []})

  for single_forecast in forecast['lineItemDeliveryForecasts']:
    unit_type = single_forecast['unitType']
    print('Forecast for line item %d:\n\t%d %s matched\n\t%d %s delivered\n\t'
          '%d %s predicted\n' % (
              single_forecast['lineItemId'], single_forecast['matchedUnits'],
              unit_type, single_forecast['deliveredUnits'], unit_type,
              single_forecast['predictedDeliveryUnits'], unit_type))


if __name__ == '__main__':
  # Initialize client object.
  ad_manager_client = ad_manager.AdManagerClient.LoadFromStorage()
  main(ad_manager_client, LINE_ITEM_ID_1, LINE_ITEM_ID_2)

PHP

      $forecastService = $serviceFactory->createForecastService($session);

      // Get forecast for the line items with no options set.
      $forecast = $forecastService->getDeliveryForecastByIds(
          [$lineItemId1, $lineItemId2],
          new DeliveryForecastOptions()
      );

      // Print out forecast results.
      $lineItemDeliveryForecasts = $forecast->getLineItemDeliveryForecasts();
      foreach ($lineItemDeliveryForecasts as $lineItemForecast) {
          $unitType = strtolower($lineItemForecast->getUnitType());
          printf(
              "Forecast for line item ID %d:%s",
              $lineItemForecast->getLineItemId(),
              PHP_EOL
          );
          printf(
              "    %d %s matched%s",
              $lineItemForecast->getMatchedUnits(),
              $unitType,
              PHP_EOL
          );
          printf(
              "    %d %s delivered%s",
              $lineItemForecast->getDeliveredUnits(),
              $unitType,
              PHP_EOL
          );
          printf(
              "    %d %s predicted%s",
              $lineItemForecast->getPredictedDeliveryUnits(),
              $unitType,
              PHP_EOL
          );
      }

C#

using (ForecastService forecastService = user.GetService<ForecastService>())
{
// Get a delivery forecast for the line items.
DeliveryForecastOptions options = new DeliveryForecastOptions();
options.ignoredLineItemIds = new long[]
{
};
DeliveryForecast forecast = forecastService.getDeliveryForecastByIds(new long[]
{
    lineItemId1,
    lineItemId2
}, options);

// Display results.
foreach (LineItemDeliveryForecast lineItemForecast in forecast
    .lineItemDeliveryForecasts)
{
    String unitType = lineItemForecast.unitType.GetType().Name.ToLower();
    Console.WriteLine("Forecast for line item {0}:",
        lineItemForecast.lineItemId);
    Console.WriteLine("\t{0} {1} matched", lineItemForecast.matchedUnits,
        unitType);
    Console.WriteLine("\t{0} {1} delivered", lineItemForecast.deliveredUnits,
        unitType);
    Console.WriteLine("\t{0} {1} predicted",
        lineItemForecast.predictedDeliveryUnits, unitType);
}

Ruby

  # Get the ForecastService.
  forecast_service = ad_manager.service(:ForecastService, API_VERSION)
  # Get forecast for the line item.
  forecast = forecast_service.get_delivery_forecast_by_ids(
      [line_item_id1, line_item_id2], nil)

  unless forecast.nil? || forecast[:line_item_delivery_forecasts].nil?
    forecast[:line_item_delivery_forecasts].each do |single_forecast|
      # Display results.
      unit_type = single_forecast[:unit_type]
      puts ('Forecast for line item %d:\n\t%d %s matched\n\t%d %s ' +
          'delivered\n\t%d %s predicted\n') % [single_forecast[:line_item_id],
          single_forecast[:matched_units], unit_type,
          single_forecast[:delivered_units], unit_type,
          single_forecast[:predicted_delivery_units], unit_type]
    end
  end

이 예시의 출력은 다음과 비슷합니다.

Forecast for line item 14678:
    100 clicks matched
    0 clicks delivered
    98 clicks predicted

게재 시뮬레이션에서 광고 항목을 제외하려면 DeliveryForecastOptions에서 ID를 설정하면 됩니다.

예상 광고 항목

사용 가능 여부 예측과 마찬가지로 지속되지 않는 광고 항목에 게재 예측을 실행할 수 있습니다. 이렇게 하려면 ForecastService.getDeliveryForecast 메서드에서 ProspectiveLineItem 객체를 사용하세요.

향후 판매율 보고서

향후 판매율 보고서는 Google Ad Manager 네트워크의 노출수 가용성을 예측하므로 수익과 판매율을 극대화하고 있는지 확인할 수 있습니다. 향후 판매율 보고서는 ReportService를 통해 실행할 수 있습니다.

FAQ

사용 가능 여부를 예측하려는 광고 항목이 많습니다. 한 요청에서 여러 예측을 실행할 수 있나요?
아니요. 각 광고 항목 또는 예상 광고 항목에 대해 별도의 사용 가능 여부 예측 요청을 해야 합니다.
여러 번 예측을 실행한 후 EXCEEDED_QUOTA 오류가 표시됩니다. 어떻게 된 일인가요?
예측은 계산 비용이 많이 들며 할당량 시스템은 서비스의 안정성을 보장합니다. 할당량 오류가 발생한 예측은 안전하게 기다렸다가 다시 시도할 수 있습니다.
NO_FORECAST_YET 또는 NOT_ENOUGH_INVENTORY 오류가 발생하는 원인은 무엇인가요?
예측은 네트워크의 트래픽 기록을 기반으로 실행됩니다. 예측을 실행하기에 충분한 이전 데이터가 없는 경우도 있습니다. 이러한 오류에 관한 자세한 내용은 ForecastError 문서를 참고하세요.
AlternativeUnitTypeForecast란 무엇인가요?
사용 가능한 다른 인벤토리를 파악하는 것이 유용한 경우가 있습니다. 예를 들어 CPC 광고 항목을 예측할 때 대체 단위 유형 예측에는 노출수 정보가 포함됩니다.
Ad Manager 예측에 관해 궁금한 점이 더 있습니다.
제품 FAQ에 나와 있는지 확인하거나 Ad Manager 도움말 커뮤니티에 문의하세요. 특정 문제의 경우 Ad Manager API 지원팀에 문의하세요.