Genere métricas de previsión

Las métricas de previsión proporcionan métricas para campañas propuestas o existentes, incluidas las siguientes:

• Impresiones
• Índice de clics sobre anuncios
• Costo por clic promedio
• Clicks
• Costo

Experimentar con distintas configuraciones de la campaña para optimizar cada una de ellas métricas. Algunos datos, como el nivel de calidad histórico y la tasa de clics, que se usan en la previsión para simular el rendimiento esperado, como la tasa.

Por lo general, las métricas de previsión se usan después de las métricas históricas. Las métricas históricas reducen una lista grande de palabras clave a un tamaño más fácil de administrar. Las métricas de previsión ofrecen una estimación más exacta del rendimiento de la campaña futura. Comience con las métricas históricas de las palabras clave. Una vez que puedas administrar la lista, usa prever métricas para optimizar el rendimiento de tu campaña.

Genera métricas

Para generar métricas de previsión, completa estos pasos:

1. Cree una campaña para la que desea obtener una previsión CampaignToForecast
2. Llama a KeywordPlanIdeaService.GenerateKeywordForecastMetrics con ese CampaignToForecast y cualquier otro parámetros, como forecast_period.

Cree una campaña para obtener una previsión

A continuación, presentamos algunas sugerencias cuando cree su campaña para realizar previsiones:

• Crear grupos de anuncios según temas tales como la relevancia de las creatividades, el producto categoría o el costo por clic.
• Incluir palabras clave negativas comunes Por ejemplo, si no estás en proceso de reclutamiento, excluye la palabra clave "trabajos".
• Usar una cuenta que esté relacionada con la campaña No realizar previsiones desde una no relacionada. Google tiene en cuenta factores como la puntuación de calidad y el contenido de las creatividades en la previsión.
• Si una campaña no se relaciona con el resto de la cuenta, utilice una nueva campaña limpia. tener en cuenta la previsión.
• Repite los pronósticos con diferentes horizontes para obtener un panorama integral.

Genera métricas de previsión

En el siguiente ejemplo de código, se realiza una solicitud a KeywordPlanIdeaService.GenerateKeywordForecastMetrics. Integra y, luego, itera a través de cada uno de los resultados y muestra cada una de las previsiones métricas.

La respuesta también puede mostrar un valor temporal IDs en el recurso, por ejemplo, customers/CUSTOMER_ID/keywordPlanCampaigns/-1

Java

private void runExample(GoogleAdsClient googleAdsClient, Long customerId) {
  CampaignToForecast campaignToForecast = createCampaignToForecast(googleAdsClient);
  GenerateKeywordForecastMetricsRequest request =
      GenerateKeywordForecastMetricsRequest.newBuilder()
          .setCustomerId(String.valueOf(customerId))
          .setCampaign(campaignToForecast)
          .setForecastPeriod(
              DateRange.newBuilder()
                  // Sets the forecast start date to tomorrow.
                  .setStartDate(new DateTime().plusDays(1).toString("yyyy-MM-dd"))
                  // Sets the forecast end date to 30 days from today.
                  .setEndDate(new DateTime().plusDays(30).toString("yyyy-MM-dd")))
          .build();
  try (KeywordPlanIdeaServiceClient keywordPlanIdeaServiceClient =
      googleAdsClient.getLatestVersion().createKeywordPlanIdeaServiceClient()) {
    GenerateKeywordForecastMetricsResponse response =
        keywordPlanIdeaServiceClient.generateKeywordForecastMetrics(request);
    KeywordForecastMetrics metrics = response.getCampaignForecastMetrics();
    System.out.printf(
        "Estimated daily clicks: %s%n", metrics.hasClicks() ? metrics.getClicks() : null);
    System.out.printf(
        "Estimated daily impressions: %s%n",
        metrics.hasImpressions() ? metrics.getImpressions() : null);
    System.out.printf(
        "Estimated average CPC (micros): %s%n",
        metrics.hasAverageCpcMicros() ? metrics.getAverageCpcMicros() : null);
  }
}

/**
 * Creates the campaign to forecast. A campaign to forecast lets you try out various
 * configurations and keywords to find the best optimization for your future campaigns. Once
 * you've found the best campaign configuration, create a serving campaign in your Google Ads
 * account with similar values and keywords. For more details, see:
 *
 * <p>https://support.google.com/google-ads/answer/3022575
 *
 * @param googleAdsClient
 * @return
 */
private CampaignToForecast createCampaignToForecast(GoogleAdsClient googleAdsClient) {
  CampaignToForecast.Builder campaignToForecastBuilder =
      CampaignToForecast.newBuilder()
          .setKeywordPlanNetwork(KeywordPlanNetwork.GOOGLE_SEARCH)
          .setBiddingStrategy(
              CampaignBiddingStrategy.newBuilder()
                  .setManualCpcBiddingStrategy(
                      ManualCpcBiddingStrategy.newBuilder().setMaxCpcBidMicros(1_000_000L)));

  // See https://developers.google.com/google-ads/api/reference/data/geotargets for the list of
  // geo target IDs.
  campaignToForecastBuilder.addGeoModifiers(
      CriterionBidModifier.newBuilder()
          // Geo target constant 2840 is for USA.
          .setGeoTargetConstant(ResourceNames.geoTargetConstant(2840)));

  // See https://developers.google.com/google-ads/api/reference/data/codes-formats#languages for
  // the list of language criteria IDs. Language constant 1000 is for English.
  campaignToForecastBuilder.addLanguageConstants(ResourceNames.languageConstant(1000));

  // Create forecast ad group based on themes such as creative relevance, product category, or
  // cost per click.
  ForecastAdGroup.Builder forecastAdGroupBuilder = ForecastAdGroup.newBuilder();
  forecastAdGroupBuilder.addBiddableKeywords(
      BiddableKeyword.newBuilder()
          .setMaxCpcBidMicros(2_500_000)
          .setKeyword(
              KeywordInfo.newBuilder()
                  .setText("mars cruise")
                  .setMatchType(KeywordMatchType.BROAD)));

  forecastAdGroupBuilder.addBiddableKeywords(
      BiddableKeyword.newBuilder()
          .setMaxCpcBidMicros(1_500_000)
          .setKeyword(
              KeywordInfo.newBuilder()
                  .setText("cheap cruise")
                  .setMatchType(KeywordMatchType.PHRASE)));

  forecastAdGroupBuilder.addBiddableKeywords(
      BiddableKeyword.newBuilder()
          .setMaxCpcBidMicros(1_990_000)
          .setKeyword(
              KeywordInfo.newBuilder()
                  .setText("jupiter cruise")
                  .setMatchType(KeywordMatchType.BROAD)));

  forecastAdGroupBuilder.addNegativeKeywords(
      KeywordInfo.newBuilder().setText("moon walk").setMatchType(KeywordMatchType.BROAD));

  campaignToForecastBuilder.addAdGroups(forecastAdGroupBuilder.build());
  return campaignToForecastBuilder.build();
}
GenerateForecastMetrics.java
      

C#

public void Run(GoogleAdsClient client, long customerId)
{
    CampaignToForecast campaignToForecast = CreateCampaignToForecast();

    KeywordPlanIdeaServiceClient keywordPlanIdeaService =
            client.GetService(Services.V18.KeywordPlanIdeaService);

    GenerateKeywordForecastMetricsRequest request = new GenerateKeywordForecastMetricsRequest()
    {
        CustomerId = customerId.ToString(),
        Campaign = campaignToForecast,
        ForecastPeriod = new DateRange()
        {
            // Set the forecast start date to tomorrow.
            StartDate = DateTime.Now.AddDays(1).ToString("yyyy-MM-dd"),
            // Set the forecast end date to 30 days from today.
            EndDate = DateTime.Now.AddDays(30).ToString("yyyy-MM-dd"),
        }
    };

    try
    {
        GenerateKeywordForecastMetricsResponse response =
            keywordPlanIdeaService.GenerateKeywordForecastMetrics(request);

        KeywordForecastMetrics metrics = response.CampaignForecastMetrics;

        Console.WriteLine($"Estimated daily clicks: {metrics.Clicks}.");
        Console.WriteLine($"Estimated daily impressions: {metrics.Impressions}.");
        Console.WriteLine($"Estimated average cpc (micros): {metrics.AverageCpcMicros}.");
    }
    catch (GoogleAdsException e)
    {
        Console.WriteLine("Failure:");
        Console.WriteLine($"Message: {e.Message}");
        Console.WriteLine($"Failure: {e.Failure}");
        Console.WriteLine($"Request ID: {e.RequestId}");
        throw;
    }
}

/// <summary>
/// Creates the campaign to forecast. A campaign to forecast lets you try out
/// various configuration and keywords to find the best optimization for your
/// future campaigns. Once you've found the best campaign configuration,
/// create a serving campaign in your Google Ads account with similar values
/// and keywords. For more details, see:
/// https://support.google.com/google-ads/answer/3022575
/// </summary>
private CampaignToForecast CreateCampaignToForecast()
{
    CampaignToForecast campaignToForecast = new CampaignToForecast()
    {
        KeywordPlanNetwork = KeywordPlanNetwork.GoogleSearch,
        BiddingStrategy = new CampaignToForecast.Types.CampaignBiddingStrategy()
        {
            ManualCpcBiddingStrategy = new ManualCpcBiddingStrategy()
            {
                MaxCpcBidMicros = 1_000_000
            }
        }
    };

    // See https://developers.google.com/google-ads/api/reference/data/geotargets
    // for the list of geo target IDs.
    campaignToForecast.GeoModifiers.Add(new CriterionBidModifier()
    {
        // Geo target constant 2840 is for USA.
        GeoTargetConstant = ResourceNames.GeoTargetConstant(2840)
    });

    // See https://developers.google.com/google-ads/api/reference/data/codes-formats#languages
    // for the list of language criteria IDs.
    // Language constant 1000 is for English.
    campaignToForecast.LanguageConstants.Add(ResourceNames.LanguageConstant(1000));

    // Create forecast ad group based on themes such as creative relevance, product category,
    // or cost per click.
    ForecastAdGroup forecastAdGroup = new ForecastAdGroup();

    forecastAdGroup.BiddableKeywords.Add(new BiddableKeyword()
    {
        MaxCpcBidMicros = 2_500_000,
        Keyword = new KeywordInfo()
        {
            Text = "mars cruise",
            MatchType = KeywordMatchType.Broad
        }
    });

    forecastAdGroup.BiddableKeywords.Add(new BiddableKeyword()
    {
        MaxCpcBidMicros = 1_500_000,
        Keyword = new KeywordInfo()
        {
            Text = "cheap cruise",
            MatchType = KeywordMatchType.Phrase
        }
    });

    forecastAdGroup.BiddableKeywords.Add(new BiddableKeyword()
    {
        MaxCpcBidMicros = 1_990_000,
        Keyword = new KeywordInfo()
        {
            Text = "jupiter cruise",
            MatchType = KeywordMatchType.Broad
        }
    });

    forecastAdGroup.NegativeKeywords.Add(new KeywordInfo()
    {
        Text = "moon walk",
        MatchType = KeywordMatchType.Broad
    });

    campaignToForecast.AdGroups.Add(forecastAdGroup);

    return campaignToForecast;
}
GenerateForecastMetrics.cs
      

PHP

public static function runExample(
    GoogleAdsClient $googleAdsClient,
    int $customerId
): void {
    $campaignToForecast = self::createCampaignToForecast();
    $keywordPlanIdeaServiceClient = $googleAdsClient->getKeywordPlanIdeaServiceClient();
    // Generates keyword forecast metrics based on the specified parameters.
    $response = $keywordPlanIdeaServiceClient->generateKeywordForecastMetrics(
        new GenerateKeywordForecastMetricsRequest([
            'customer_id' => $customerId,
            'campaign' => $campaignToForecast,
            'forecast_period' => new DateRange([
                // Sets the forecast start date to tomorrow.
                'start_date' => date('Ymd', strtotime('+1 day')),
                // Sets the forecast end date to 30 days from today.
                'end_date' => date('Ymd', strtotime('+30 days'))
            ])
        ])
    );

    $metrics = $response->getCampaignForecastMetrics();
    printf(
        "Estimated daily clicks: %s%s",
        $metrics->hasClicks() ? sprintf("%.2f", $metrics->getClicks()) : "'none'",
        PHP_EOL
    );
    printf(
        "Estimated daily impressions: %s%s",
        $metrics->hasImpressions() ? sprintf("%.2f", $metrics->getImpressions()) : "'none'",
        PHP_EOL
    );
    printf(
        "Estimated average CPC (micros): %s%s",
        $metrics->hasAverageCpcMicros()
            ? sprintf("%d", $metrics->getAverageCpcMicros()) : "'none'",
        PHP_EOL
    );
}

/**
 * Creates the campaign to forecast. A campaign to forecast lets you try out various
 * configurations and keywords to find the best optimization for your future campaigns. Once
 * you've found the best campaign configuration, create a serving campaign in your Google Ads
 * account with similar values and keywords. For more details, see:
 *
 * https://support.google.com/google-ads/answer/3022575
 *
 * @return CampaignToForecast the created campaign to forecast
 */
private static function createCampaignToForecast(): CampaignToForecast
{
    // Creates a campaign to forecast.
    $campaignToForecast = new CampaignToForecast([
        'keyword_plan_network' => KeywordPlanNetwork::GOOGLE_SEARCH,
        'bidding_strategy' => new CampaignBiddingStrategy([
            'manual_cpc_bidding_strategy' => new ManualCpcBiddingStrategy([
                'max_cpc_bid_micros' => 1_000_000
            ])
        ]),
        // See https://developers.google.com/google-ads/api/reference/data/geotargets for the
        // list of geo target IDs.
        'geo_modifiers' => [
            new CriterionBidModifier([
                // Geo target constant 2840 is for USA.
                'geo_target_constant' => ResourceNames::forGeoTargetConstant(2840)
            ])
        ],
        // See
        // https://developers.google.com/google-ads/api/reference/data/codes-formats#languages
        // for the list of language criteria IDs. Language constant 1000 is for English.
        'language_constants' => [ResourceNames::forLanguageConstant(1000)],
    ]);

    // Creates forecast ad group based on themes such as creative relevance, product category,
    // or cost per click.
    $forecastAdGroup = new ForecastAdGroup([
        'biddable_keywords' => [
            new BiddableKeyword([
                'max_cpc_bid_micros' => 2_500_000,
                'keyword' => new KeywordInfo([
                    'text' => 'mars cruise',
                    'match_type' => KeywordMatchType::BROAD
                ])
            ]),
            new BiddableKeyword([
                'max_cpc_bid_micros' => 1_500_000,
                'keyword' => new KeywordInfo([
                    'text' => 'cheap cruise',
                    'match_type' => KeywordMatchType::PHRASE
                ])
            ]),
            new BiddableKeyword([
                'max_cpc_bid_micros' => 1_990_000,
                'keyword' => new KeywordInfo([
                    'text' => 'jupiter cruise',
                    'match_type' => KeywordMatchType::BROAD
                ])
            ])
        ],
        'negative_keywords' => [
            new KeywordInfo([
                'text' => 'moon walk',
                'match_type' => KeywordMatchType::BROAD
            ])
        ]
    ]);
    $campaignToForecast->setAdGroups([$forecastAdGroup]);

    return $campaignToForecast;
}
GenerateForecastMetrics.php
      

Python

def main(client, customer_id):
    """The main method that creates all necessary entities for the example.

    Args:
        client: an initialized GoogleAdsClient instance.
        customer_id: a client customer ID.
    """
    campaign_to_forecast = create_campaign_to_forecast(client)
    generate_forecast_metrics(client, customer_id, campaign_to_forecast)


def create_campaign_to_forecast(client):
    """Creates the campaign to forecast.

    A campaign to forecast lets you try out various configurations and keywords
    to find the best optimization for your future campaigns. Once you've found
    the best campaign configuration, create a serving campaign in your Google
    Ads account with similar values and keywords. For more details, see:
    https://support.google.com/google-ads/answer/3022575

    Args:
        client: an initialized GoogleAdsClient instance.

    Returns:
        An CampaignToForecast instance.
    """
    googleads_service = client.get_service("GoogleAdsService")
    # Create a campaign to forecast.
    campaign_to_forecast = client.get_type("CampaignToForecast")
    campaign_to_forecast.keyword_plan_network = (
        client.enums.KeywordPlanNetworkEnum.GOOGLE_SEARCH
    )

    # Set the bidding strategy.
    campaign_to_forecast.bidding_strategy.manual_cpc_bidding_strategy.max_cpc_bid_micros = (
        1000000
    )

    # For the list of geo target IDs, see:
    # https://developers.google.com/google-ads/api/reference/data/geotargets
    criterion_bid_modifier = client.get_type("CriterionBidModifier")
    # Geo target constant 2840 is for USA.
    criterion_bid_modifier.geo_target_constant = (
        googleads_service.geo_target_constant_path("2840")
    )
    campaign_to_forecast.geo_modifiers.append(criterion_bid_modifier)

    # For the list of language criteria IDs, see:
    # https://developers.google.com/google-ads/api/reference/data/codes-formats#languages
    # Language criteria 1000 is for English.
    campaign_to_forecast.language_constants.append(
        googleads_service.language_constant_path("1000")
    )

    # Create forecast ad groups based on themes such as creative relevance,
    # product category, or cost per click.
    forecast_ad_group = client.get_type("ForecastAdGroup")

    # Create and configure three BiddableKeyword instances.
    biddable_keyword_1 = client.get_type("BiddableKeyword")
    biddable_keyword_1.max_cpc_bid_micros = 2500000
    biddable_keyword_1.keyword.text = "mars cruise"
    biddable_keyword_1.keyword.match_type = (
        client.enums.KeywordMatchTypeEnum.BROAD
    )

    biddable_keyword_2 = client.get_type("BiddableKeyword")
    biddable_keyword_2.max_cpc_bid_micros = 1500000
    biddable_keyword_2.keyword.text = "cheap cruise"
    biddable_keyword_2.keyword.match_type = (
        client.enums.KeywordMatchTypeEnum.PHRASE
    )

    biddable_keyword_3 = client.get_type("BiddableKeyword")
    biddable_keyword_3.max_cpc_bid_micros = 1990000
    biddable_keyword_3.keyword.text = "cheap cruise"
    biddable_keyword_3.keyword.match_type = (
        client.enums.KeywordMatchTypeEnum.EXACT
    )

    # Add the biddable keywords to the forecast ad group.
    forecast_ad_group.biddable_keywords.extend(
        [biddable_keyword_1, biddable_keyword_2, biddable_keyword_3]
    )

    # Create and configure a negative keyword, then add it to the forecast ad
    # group.
    negative_keyword = client.get_type("KeywordInfo")
    negative_keyword.text = "moon walk"
    negative_keyword.match_type = client.enums.KeywordMatchTypeEnum.BROAD
    forecast_ad_group.negative_keywords.append(negative_keyword)

    campaign_to_forecast.ad_groups.append(forecast_ad_group)

    return campaign_to_forecast


def generate_forecast_metrics(client, customer_id, campaign_to_forecast):
    """Generates forecast metrics and prints the results.

    Args:
        client: an initialized GoogleAdsClient instance.
        customer_id: a client customer ID.
        campaign_to_forecast: a CampaignToForecast to generate metrics for.
    """
    keyword_plan_idea_service = client.get_service("KeywordPlanIdeaService")
    request = client.get_type("GenerateKeywordForecastMetricsRequest")
    request.customer_id = customer_id
    request.campaign = campaign_to_forecast
    # Set the forecast range. Repeat forecasts with different horizons to get a
    # holistic picture.
    # Set the forecast start date to tomorrow.
    tomorrow = datetime.now() + timedelta(days=1)
    request.forecast_period.start_date = tomorrow.strftime("%Y-%m-%d")
    # Set the forecast end date to 30 days from today.
    thirty_days_from_now = datetime.now() + timedelta(days=30)
    request.forecast_period.end_date = thirty_days_from_now.strftime("%Y-%m-%d")

    response = keyword_plan_idea_service.generate_keyword_forecast_metrics(
        request=request
    )

    metrics = response.campaign_forecast_metrics
    print(f"Estimated daily clicks: {metrics.clicks}")
    print(f"Estimated daily impressions: {metrics.impressions}")
    print(f"Estimated daily average CPC: {metrics.average_cpc_micros}")
generate_forecast_metrics.py
      

Rita

This example is not yet available in Ruby; you can take a look at the other languages.
    

Perl

sub generate_forecast_metrics {
  my ($api_client, $customer_id) = @_;

  my $campaign_to_forecast = create_campaign_to_forecast();

  my $keyword_forecast_metrics_response =
    $api_client->KeywordPlanIdeaService()->generate_keyword_forecast_metrics({
      customerId => $customer_id,
      campaign   => $campaign_to_forecast,
      # Set the forecast range. Repeat forecasts with different horizons
      # to get a holistic picture.
      forecastPeriod => Google::Ads::GoogleAds::V18::Common::DateRange->new({
          # Set the forecast start date to tomorrow.
          startDate => strftime("%Y-%m-%d", localtime(time + 60 * 60 * 24)),
          # Set the forecast end date to 30 days from today.
          endDate => strftime("%Y-%m-%d", localtime(time + 60 * 60 * 24 * 30))})
    });

  my $metrics = $keyword_forecast_metrics_response->{campaignForecastMetrics};

  printf "Estimated daily clicks: %s.\n",
    defined $metrics->{clicks} ? $metrics->{clicks} : "undef";
  printf "Estimated daily impressions: %s.\n",
    defined $metrics->{impressions} ? $metrics->{impressions} : "undef";
  printf "Estimated average cpc (micros): %s.\n\n",
    defined $metrics->{averageCpcMicros}
    ? $metrics->{averageCpcMicros}
    : "undef";

  return 1;
}

# Creates the campaign to forecast. A campaign to forecast lets you try out
# various configuration and keywords to find the best optimization for your
# future campaigns. Once you've found the best campaign configuration,
# create a serving campaign in your Google Ads account with similar values
# and keywords. For more details, see:
# https://support.google.com/google-ads/answer/3022575
sub create_campaign_to_forecast {
  my ($api_client) = @_;

  # Create a campaign to forecast.
  my $campaign_to_forecast =
    Google::Ads::GoogleAds::V18::Services::KeywordPlanIdeaService::CampaignToForecast
    ->new({keywordPlanNetwork => 'GOOGLE_SEARCH'});

  # Set the bidding strategy.
  $campaign_to_forecast->{biddingStrategy}->{manualCpcBiddingStrategy} =
    Google::Ads::GoogleAds::V18::Services::KeywordPlanIdeaService::ManualCpcBiddingStrategy
    ->new({maxCpcBidMicros => 1000000});

  # See https://developers.google.com/google-ads/api/reference/data/geotargets
  # for the list of geo target IDs.
  $campaign_to_forecast->{geoModifiers} = [
    Google::Ads::GoogleAds::V18::Services::KeywordPlanIdeaService::CriterionBidModifier
      ->new({
        # Geo target constant 2840 is for USA.
        geoTargetConstant =>
          Google::Ads::GoogleAds::V18::Utils::ResourceNames::geo_target_constant(
          2840)})];

  # See https://developers.google.com/google-ads/api/reference/data/codes-formats#languages
  # for the list of language criteria IDs.
  $campaign_to_forecast->{languageConstants} = [
    # Language criteria 1000 is for English.
    Google::Ads::GoogleAds::V18::Utils::ResourceNames::language_constant(1000)];

  # Create forecast ad groups based on themes such as creative relevance,
  # product category, or cost per click.
  $campaign_to_forecast->{adGroups} = [
    Google::Ads::GoogleAds::V18::Services::KeywordPlanIdeaService::ForecastAdGroup
      ->new({
        biddableKeywords => [
          Google::Ads::GoogleAds::V18::Services::KeywordPlanIdeaService::BiddableKeyword
            ->new({
              maxCpcBidMicros => 2500000,
              keyword => Google::Ads::GoogleAds::V18::Common::KeywordInfo->new({
                  text      => "mars cruise",
                  matchType => 'BROAD'
                })}
            ),
          Google::Ads::GoogleAds::V18::Services::KeywordPlanIdeaService::BiddableKeyword
            ->new({
              maxCpcBidMicros => 1500000,
              keyword => Google::Ads::GoogleAds::V18::Common::KeywordInfo->new({
                  text      => "cheap cruise",
                  matchType => 'PHRASE'
                })}
            ),
          Google::Ads::GoogleAds::V18::Services::KeywordPlanIdeaService::BiddableKeyword
            ->new({
              maxCpcBidMicros => 1990000,
              keyword => Google::Ads::GoogleAds::V18::Common::KeywordInfo->new({
                  text      => "jupiter cruise",
                  matchType => 'EXACT'
                })})
        ],
        negativeKeywords => [
          Google::Ads::GoogleAds::V18::Common::KeywordInfo->new({
              text      => "moon walk",
              matchType => 'BROAD'
            })]})];

  return $campaign_to_forecast;
}
generate_forecast_metrics.pl
      

Asigna a la IU

KeywordPlanIdeaService.GenerateKeywordForecastMetrics tiene una funcionalidad similar en el Planificador de palabras clave de la IU de Google Ads.

IU del Planificador de palabras clave	API de Google Ads
Ingresa palabras clave	CampaignToForecast.negative_keywords o ForecastAdGroup.biddable_keywords o ForecastAdGroup.negative_keywords
Ubicaciones	CampaignToForecast.geo_targets
Idiomas	CampaignToForecast.language_constants
Redes de Búsqueda	CampaignToForecast.keyword_plan_network
Oferta de CPC	CampaignToForecast.bidding_strategy ForecastAdGroup.max_cpc_bid_micros BiddableKeyword.max_cpc_bid_micros
Período	forecastGenerateKeywordForecastMetricsRequest.forecast_period_period