Una vez que hayas recopilado la configuración de segmentación y una combinación de productos para tu plan de medios, puedes generar una curva de los presupuestos en comparación con el alcance potencial con el método GenerateReachForecast en ReachPlanService. Consulta el glosario y la guía del plan de medios para obtener detalles sobre los campos de la solicitud.
objeto, ciertos valores de user_interest_category en UserInterestInfo no se admiten para las previsiones de alcance.
Curvas de ahorro
Solo puedes guardar curvas individuales para brindar comodidad a tus usuarios. Se prohíbe estrictamente almacenar en caché curvas de forma masiva. Si necesitas generar curvas de forma masiva, primero consulta a tu representante de Google.
Manejo de errores
Las solicitudes a ReachPlanService deben seguir la estructura básica de la API y pueden mostrar errores comunes si no pasan la validación.
Además de los errores comunes, ReachPlanService puede devolver errores específicos de la planificación del alcance que se enumeran en ReachPlanError.
Cambios en YouTube Select
El servicio de planes de alcance de YouTube Select (YTS) ahora admite la segmentación a nivel de la selección de contenido, en comparación con la segmentación por red que se usaba anteriormente, para todas las ubicaciones aptas de YTS con precios de Reserva instantánea. Con la Reserva instantánea, estos errores también pueden ocurrir cuando se solicita una previsión para YTS:
Previsión del alcance para las campañas de generación de demanda
Cuando generes curvas para los productos planificables de DEMAND_GEN, también debes incluir un porcentaje de conversiones esperado para cada producto.
Para obtener sugerencias de tasas de conversión para los productos planificables admitidos, usa el método GenerateConversionRates. Este método devuelve sugerencias de tasas de conversión basadas en el rendimiento histórico de tu cuenta o en las tasas sugeridas basadas en el rendimiento de todos los anunciantes.
En el caso de los productos DEMAND_GEN, GenerateConversionRates puede devolver varias sugerencias para el mismo producto. Algunas de estas sugerencias tendrán el campo surface_targeting completado, lo que indica que la sugerencia se aplica solo a esa combinación específica de plataformas (por ejemplo, Shorts de YouTube).
Si surface_targeting no se completa, la sugerencia es el promedio de la campaña de generación de demanda para ese producto. Cuando generes previsiones para las campañas de generación de demanda con segmentación por plataforma, debes usar la sugerencia de porcentaje de conversiones más específica disponible.
Ejemplo de código
La curva incluye el alcance de las impresiones y de los usuarios en cifras absolutas, así como los tamaños del universo correspondientes a la población del censo y al tamaño del público de YouTube para el país y el segmento demográfico solicitados.
Java
private void getReachCurve( ReachPlanServiceClient reachPlanServiceClient, GenerateReachForecastRequest request) { GenerateReachForecastResponse response = reachPlanServiceClient.generateReachForecast(request); System.out.println("Reach curve output:"); System.out.println( "Currency, Cost Micros, On-Target Reach, On-Target Imprs, Total Reach, Total Imprs," + " Products"); for (ReachForecast point : response.getReachCurve().getReachForecastsList()) { System.out.printf( "%s, \"", Joiner.on(", ") .join( request.getCurrencyCode(), String.valueOf(point.getCostMicros()), String.valueOf(point.getForecast().getOnTargetReach()), String.valueOf(point.getForecast().getOnTargetImpressions()), String.valueOf(point.getForecast().getTotalReach()), String.valueOf(point.getForecast().getTotalImpressions()))); for (PlannedProductReachForecast product : point.getPlannedProductReachForecastsList()) { System.out.printf("[Product: %s, ", product.getPlannableProductCode()); System.out.printf("Budget Micros: %s]", product.getCostMicros()); } System.out.printf("\"%n"); } }
C#
public void GetReachCurve(ReachPlanServiceClient reachPlanService, GenerateReachForecastRequest request) { GenerateReachForecastResponse response = reachPlanService.GenerateReachForecast( request); Console.WriteLine("Reach curve output:"); Console.WriteLine( "Currency, Cost Micros, On-Target Reach, On-Target Impressions, Total Reach," + " Total Impressions, Products"); foreach (ReachForecast point in response.ReachCurve.ReachForecasts) { Console.Write($"{request.CurrencyCode}, "); Console.Write($"{point.CostMicros}, "); Console.Write($"{point.Forecast.OnTargetReach}, "); Console.Write($"{point.Forecast.OnTargetImpressions}, "); Console.Write($"{point.Forecast.TotalReach}, "); Console.Write($"{point.Forecast.TotalImpressions}, "); Console.Write("\"["); foreach (PlannedProductReachForecast productReachForecast in point.PlannedProductReachForecasts) { Console.Write($"(Product: {productReachForecast.PlannableProductCode}, "); Console.Write($"Budget Micros: {productReachForecast.CostMicros}), "); } Console.WriteLine("]\""); } }
PHP
private static function getReachCurve( GoogleAdsClient $googleAdsClient, int $customerId, array $productMix, string $locationId, string $currencyCode ) { // Valid durations are between 1 and 90 days. $duration = new CampaignDuration(['duration_in_days' => 28]); $targeting = new Targeting([ 'plannable_location_id' => $locationId, 'age_range' => ReachPlanAgeRange::AGE_RANGE_18_65_UP, 'genders' => [ new GenderInfo(['type' => GenderType::FEMALE]), new GenderInfo(['type' => GenderType::MALE]) ], 'devices' => [ new DeviceInfo(['type' => Device::DESKTOP]), new DeviceInfo(['type' => Device::MOBILE]), new DeviceInfo(['type' => Device::TABLET]) ] ]); // See the docs for defaults and valid ranges: // https://developers.google.com/google-ads/api/reference/rpc/latest/GenerateReachForecastRequest $response = $googleAdsClient->getReachPlanServiceClient()->generateReachForecast( GenerateReachForecastRequest::build($customerId, $duration, $productMix) ->setCurrencyCode($currencyCode) ->setTargeting($targeting) ); printf( "Reach curve output:%sCurrency, Cost Micros, On-Target Reach, On-Target Imprs," . " Total Reach, Total Imprs, Products%s", PHP_EOL, PHP_EOL ); foreach ($response->getReachCurve()->getReachForecasts() as $point) { $products = ''; /** @var ReachForecast $point */ foreach ($point->getPlannedProductReachForecasts() as $plannedProductReachForecast) { /** @var PlannedProductReachForecast $plannedProductReachForecast */ $products .= sprintf( '(Product: %s, Budget Micros: %s)', $plannedProductReachForecast->getPlannableProductCode(), $plannedProductReachForecast->getCostMicros() ); } printf( "%s, %d, %d, %d, %d, %d, %s%s", $currencyCode, $point->getCostMicros(), $point->getForecast()->getOnTargetReach(), $point->getForecast()->getOnTargetImpressions(), $point->getForecast()->getTotalReach(), $point->getForecast()->getTotalImpressions(), $products, PHP_EOL ); } }
Python
def request_reach_curve( client: GoogleAdsClient, customer_id: str, product_mix: list[PlannedProduct], location_id: str, currency_code: str, ): """Creates a sample request for a given product mix. Args: client: an initialized GoogleAdsClient instance. customer_id: The customer ID for the reach forecast. product_mix: The product mix for the reach forecast. location_id: The location ID to plan for. currency_code: Three-character ISO 4217 currency code. """ # See the docs for defaults and valid ranges: # https://developers.google.com/google-ads/api/reference/rpc/latest/GenerateReachForecastRequest request: GenerateReachForecastRequest = client.get_type( "GenerateReachForecastRequest" ) request.customer_id = customer_id # Valid durations are between 1 and 90 days. request.campaign_duration.duration_in_days = 28 request.currency_code = currency_code request.cookie_frequency_cap = 0 request.min_effective_frequency = 1 request.planned_products = product_mix request.targeting.plannable_location_id = location_id request.targeting.age_range = ( client.enums.ReachPlanAgeRangeEnum.AGE_RANGE_18_65_UP ) # Add gender targeting to the request. gender_type: GenderTypeEnum for gender_type in [ client.enums.GenderTypeEnum.FEMALE, client.enums.GenderTypeEnum.MALE, ]: gender: GenderInfo = client.get_type("GenderInfo") gender.type_ = gender_type request.targeting.genders.append(gender) # Add device targeting to the request. device_type: DeviceEnum for device_type in [ client.enums.DeviceEnum.DESKTOP, client.enums.DeviceEnum.MOBILE, client.enums.DeviceEnum.TABLET, ]: device: DeviceInfo = client.get_type("DeviceInfo") device.type_ = device_type request.targeting.devices.append(device) reach_plan_service: ReachPlanServiceClient = client.get_service( "ReachPlanService" ) response: GenerateReachForecastResponse = ( reach_plan_service.generate_reach_forecast(request=request) ) print( "Currency, Cost, On-Target Reach, On-Target Imprs, Total Reach," " Total Imprs, Products" ) point: ReachForecast for point in response.reach_curve.reach_forecasts: product_splits = [] p: PlannedProductReachForecast for p in point.planned_product_reach_forecasts: product_splits.append( {p.plannable_product_code: p.cost_micros / ONE_MILLION} ) print( [ currency_code, point.cost_micros / ONE_MILLION, point.forecast.on_target_reach, point.forecast.on_target_impressions, point.forecast.total_reach, point.forecast.total_impressions, product_splits, ] )
Ruby
def get_reach_curve( client, reach_plan_service, customer_id, product_mix, location_id, currency_code) duration = client.resource.campaign_duration do |d| # Valid durations are between 1 and 90 days. d.duration_in_days = 28 end targeting = client.resource.targeting do |t| t.plannable_location_id = location_id t.age_range = :AGE_RANGE_18_65_UP t.genders << client.resource.gender_info do |gender| gender.type = :FEMALE end t.genders << client.resource.gender_info do |gender| gender.type = :MALE end t.devices << client.resource.device_info do |device| device.type = :DESKTOP end t.devices << client.resource.device_info do |device| device.type = :MOBILE end t.devices << client.resource.device_info do |device| device.type = :TABLET end end # See the docs for defaults and valid ranges: # https://developers.google.com/google-ads/api/reference/rpc/latest/GenerateReachForecastRequest response = reach_plan_service.generate_reach_forecast( customer_id: customer_id, campaign_duration: duration, planned_products: product_mix, currency_code: currency_code, targeting: targeting, ) puts "Reach curve output:" puts "Currency, Cost Micros, On-Target Reach, On-Target Imprs, " \ "Total Reach, Total Imprs, Products" response.reach_curve.reach_forecasts.each do |point| products = "" point.planned_product_reach_forecasts.each do |product| products += "(Product: #{product.plannable_product_code}, "\ "Cost Micros: #{product.cost_micros})" end puts "#{currency_code}, #{point.cost_micros}, " \ "#{point.forecast.on_target_reach}, " \ "#{point.forecast.on_target_impressions}, " \ "#{point.forecast.total_reach}, " \ "#{point.forecast.total_impressions}, " \ "#{products}" end end
Perl
sub pull_reach_curve { my ($reach_plan_service, $reach_request) = @_; my $response = $reach_plan_service->generate_reach_forecast($reach_request); print "Reach curve output:\n"; print "Currency,\tCost Micros,\tOn-Target Reach,\tOn-Target Imprs,\t" . "Total Reach,\tTotal Imprs,\tProducts\n"; foreach my $point (@{$response->{reachCurve}{reachForecasts}}) { printf "%s,\t%d,\t%d,\t%d,\t%d,\t%d,\t'[", $reach_request->{currencyCode}, $point->{costMicros}, $point->{forecast}{onTargetReach}, $point->{forecast}{onTargetImpressions}, $point->{forecast}{totalReach}, $point->{forecast}{totalImpressions}; foreach my $productReachForecast (@{$point->{plannedProductReachForecasts}}) { printf "(Product: %s, Budget Micros: %d), ", $productReachForecast->{plannableProductCode}, $productReachForecast->{costMicros}; } print "]'\n"; } }