Gerar uma curva de alcance

Depois de reunir as configurações de segmentação e um mix de produtos para seu plano de mídia, você pode gerar uma curva de orçamentos x alcance potencial usando o método GenerateReachForecast em ReachPlanService. Consulte o glossário e o guia de plano de mídia para mais detalhes sobre os campos de solicitação.

objeto, alguns valores de user_interest_category em UserInterestInfo não são compatíveis com previsões de alcance.

Salvar curvas

Você só pode salvar curvas individuais para facilitar a vida dos usuários. É estritamente proibido armazenar em cache curvas em massa. Se você precisar gerar curvas em massa, consulte primeiro seu representante do Google.

Tratamento de erros

As solicitações para ReachPlanService precisam seguir a estrutura básica da API e podem retornar erros comuns se a validação falhar.

Além dos erros comuns, o ReachPlanService pode retornar erros específicos do planejamento de alcance listados em ReachPlanError.

Mudanças no YouTube Select

O YouTube Select (YTS) no serviço do Plano de alcance agora oferece suporte à segmentação no nível do lineup, em comparação com o Run-of-Network anterior, para todos os locais qualificados do YTS nos preços da Reserva instantânea. Com a Reserva instantânea, esses erros também podem ocorrer ao solicitar uma previsão para o YTS:

  1. Não há inventário suficiente disponível
  2. Contas não gastadoras desativadas

Previsão de alcance para Geração de demanda

Ao gerar curvas para produtos planejáveis de DEMAND_GEN, inclua também uma taxa de conversão esperada para cada produto.

Para receber sugestões de taxa de conversão para produtos planejáveis compatíveis, use o método GenerateConversionRates. Esse método retorna sugestões de taxa de conversão com base na performance histórica da sua conta ou em taxas sugeridas com base na performance de todos os anunciantes.

Para produtos DEMAND_GEN, GenerateConversionRates pode retornar várias sugestões para o mesmo produto. Algumas dessas sugestões terão o campo surface_targeting preenchido, o que indica que a sugestão se aplica apenas a essa combinação específica de plataformas (por exemplo, Shorts do YouTube). Se surface_targeting não estiver preenchido, a sugestão será uma média de campanha Geração de demanda para esse produto. Ao gerar previsões para campanhas Geração de demanda com segmentação por plataforma, use a sugestão de taxa de conversão mais específica disponível.

Exemplo de código

A curva inclui o alcance de impressões e usuários em números absolutos, além dos tamanhos do universo correspondentes à população do censo e ao tamanho do público do YouTube para o grupo demográfico e o país 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";
  }
}