소개
이 가이드에서는 Google Ad Manager API에서 예측을 사용하는 다양한 방법을 설명합니다.
트래픽 예측
트래픽 예측을 사용하면 이전 트래픽과 향후 노출 기회를 확인하여 인벤토리를 더 효과적으로 분류하고 패키징할 방법을 찾을 수 있습니다.
Java
// 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 최대 사용 단위 수를 보고합니다. 이 예측은 UI의 인벤토리 확인 기능과 유사합니다.
예측에는 사용 가능, 일치, 가능, 게재, 예약된 단위가 포함됩니다. 또한 AvailabilityForecastOptions에 설정된 옵션에 따라 모든 경합 광고 항목과 각 타겟팅 분류에 사용 가능한 단위를 포함할 수 있습니다. 기본적으로 둘 다 예측에 포함되지 않습니다.
타겟팅 분석에는 각 타겟팅 기준에 맞는 일치 단위 및 사용 가능한 단위가 포함됩니다. 이러한 분류 항목은 광고 항목 타겟팅에 따라 자동으로 생성됩니다. 예를 들어 광고 단위 ID 123456에 타겟팅된 광고 항목에는 다음과 유사한 분류가 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 또는 예상 광고 항목에 대해 가용성 예측을 실행할 수 있습니다.
기존 광고 항목
ID를 사용하여 기존 광고 항목에 대한 가용성 예측을 실행할 수 있습니다.
Java
// 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='v202402') # 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 예의 출력은 다음과 유사합니다.
100 clicks matched.
2 contending line items.
예상 광고 항목
또는 유지하지 않고 예상 광고 항목과 예측을 인스턴스화할 수 있습니다. 이렇게 하려면 오프라인 광고 항목 객체를 인스턴스화하고 ProspectiveLineItem에 설정하세요. 광고주 ID를 설정하면 예측에서 통합 차단 규칙도 고려합니다.
Java
// 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
여러 경쟁 광고 항목의 게재를 시뮬레이션하려면 DeliveryForecast를 수행할 수 있습니다.
기존 광고 항목
ID를 사용하여 기존 광고 항목에 대한 게재 예측을 실행할 수 있습니다.
Java
// 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='v202402') # 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 예의 출력은 다음과 유사합니다.
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
가용성 예측과 마찬가지로, 지속되지 않는 광고 항목에 대한 게재 예측을 실행할 수 있습니다. 이렇게 하려면 ForecastService.getDeliveryForecast 메서드에서 ProspectiveLineItem 객체를 사용합니다.
향후 판매율 보고서
향후 판매율 보고서는 Google Ad Manager 네트워크의 노출수 사용 가능 여부를 예측하여 수익과 판매율을 극대화하고 있는지 확인할 수 있습니다. 향후 판매율 보고서는 ReportService를 통해 실행할 수 있습니다.
FAQ
- 가용성을 예측하려는 광고 항목이 많습니다. 요청 한 번으로 여러 예측을 실행할 수 있나요?
- 아니요. 광고 항목 또는 예상 광고 항목마다 개별적인 가용성 예측을 요청해야 합니다.
- 여러 번의 예측을 실행했는데 이제 EXCEEDED_QUOTA 오류가 발생합니다. 어떻게 된 일인가요?
- 예측은 계산 비용이 많이 들며 할당량 시스템이 서비스 안정성을 보장합니다. 할당량 오류를 유발한 예측은 안전하게 기다렸다가 재시도할 수 있습니다.
- NO_FORECAST_YET 또는 NOT_ENOUGH_INVENTORY 오류가 발생하는 이유는 무엇인가요?
- 예측은 네트워크의 트래픽 내역을 기반으로 실행됩니다. 이전 데이터가 충분하지 않아 예측을 실행할 수 없는 경우도 있습니다. 이러한 오류에 대한 자세한 내용은 ForecastError 문서를 참고하세요.
- AlternativeUnitTypeForecast란 무엇인가요?
- 사용 가능한 다른 인벤토리를 아는 것이 유용할 때가 있습니다. 예를 들어 CPC 광고 항목을 예측할 때 대체 단위 유형 예측에는 노출수에 관한 정보가 포함됩니다.
- 일반적인 Ad Manager 예측에 대해 추가 질문이 있습니다.
- 제품 FAQ에서 이러한 질문이 포함되는지 확인하거나 개발자 포럼에 문의하세요.