Prognosemesswerte generieren

Prognosemesswerte enthalten Messwerte für vorgeschlagene oder bestehende Kampagnen, darunter:

  • Impressionen
  • Klickrate
  • Durchschnittlicher Preis pro Klick
  • Klicks
  • Kosten

Experimentieren Sie mit verschiedenen Kampagnenkonfigurationen, um jeden dieser Messwerte zu optimieren. Daten wie der bisherige Qualitätsfaktor und die bisherige Klickrate können in der Prognose verwendet werden, um die erwartete Leistung wie die Conversion-Rate zu simulieren.

Prognosemesswerte werden in der Regel nach bisherigen Messwerten verwendet. Anhand von bisherigen Messwerten lässt sich eine umfangreiche Keyword-Liste auf überschaubarere Größe reduzieren. Mit Prognosemesswerten können Sie die künftige Kampagnenleistung genauer einschätzen. Beginnen Sie mit bisherigen Messwerten für Keywords. Sobald die Liste verwaltbar ist, können Sie die Leistung Ihrer Kampagne mithilfe von Prognosemesswerten optimieren.

Messwerte generieren

So generieren Sie Prognosemesswerte:

  1. Erstellen Sie eine Kampagne, für die Sie eine Prognose erstellen möchten: CampaignToForecast.
  2. Rufen Sie KeywordPlanIdeaService.GenerateKeywordForecastMetrics mit dieser CampaignToForecast und anderen Parametern wie forecast_period auf.

Kampagne für Prognosen erstellen

Hier sind einige Tipps, wie Sie Prognosen für eine Kampagne erstellen:

  • Erstellen Sie die Anzeigengruppen nach Themen wie Creative-Relevanz, Produktkategorie oder Cost-per-Click.
  • Beziehen Sie häufig verwendete auszuschließende Keywords ein. Wenn Sie beispielsweise nicht für die Personalbeschaffung tätig sind, schließen Sie das Keyword „Jobs“ aus.
  • Verwenden Sie ein Konto, das mit der Kampagne verknüpft ist. Erstellen Sie keine Prognosen für ein nicht verbundenes Konto. Google berücksichtigt Faktoren wie den Qualitätsfaktor und Creative-Inhalte bei der Prognose.
  • Wenn eine Kampagne nichts mit dem Rest Ihres Kontos zu tun hat, verwenden Sie ein neues, bereinigtes Konto für die Prognose.
  • Wiederholen Sie Prognosen für verschiedene Zeiträume, um ein ganzheitliches Bild zu erhalten.

Prognosemesswerte generieren

Im nächsten Codebeispiel wird eine Anfrage an KeywordPlanIdeaService.GenerateKeywordForecastMetrics gestellt. Anschließend durchläuft es jedes der Ergebnisse und zeigt jeden der Prognosemesswerte an.

Die Antwort kann auch temporäre IDs in der Ressource zurückgeben, z. B. 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.V16.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

Ruby

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::V16::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::V16::Services::KeywordPlanIdeaService::CampaignToForecast
    ->new({keywordPlanNetwork => 'GOOGLE_SEARCH'});

  # Set the bidding strategy.
  $campaign_to_forecast->{biddingStrategy}->{manualCpcBiddingStrategy} =
    Google::Ads::GoogleAds::V16::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::V16::Services::KeywordPlanIdeaService::CriterionBidModifier
      ->new({
        # Geo target constant 2840 is for USA.
        geoTargetConstant =>
          Google::Ads::GoogleAds::V16::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::V16::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::V16::Services::KeywordPlanIdeaService::ForecastAdGroup
      ->new({
        biddableKeywords => [
          Google::Ads::GoogleAds::V16::Services::KeywordPlanIdeaService::BiddableKeyword
            ->new({
              maxCpcBidMicros => 2500000,
              keyword => Google::Ads::GoogleAds::V16::Common::KeywordInfo->new({
                  text      => "mars cruise",
                  matchType => 'BROAD'
                })}
            ),
          Google::Ads::GoogleAds::V16::Services::KeywordPlanIdeaService::BiddableKeyword
            ->new({
              maxCpcBidMicros => 1500000,
              keyword => Google::Ads::GoogleAds::V16::Common::KeywordInfo->new({
                  text      => "cheap cruise",
                  matchType => 'PHRASE'
                })}
            ),
          Google::Ads::GoogleAds::V16::Services::KeywordPlanIdeaService::BiddableKeyword
            ->new({
              maxCpcBidMicros => 1990000,
              keyword => Google::Ads::GoogleAds::V16::Common::KeywordInfo->new({
                  text      => "jupiter cruise",
                  matchType => 'EXACT'
                })})
        ],
        negativeKeywords => [
          Google::Ads::GoogleAds::V16::Common::KeywordInfo->new({
              text      => "moon walk",
              matchType => 'BROAD'
            })]})];

  return $campaign_to_forecast;
}

generate_forecast_metrics.pl

Der Benutzeroberfläche zuordnen

KeywordPlanIdeaService.GenerateKeywordForecastMetrics bietet im Keyword-Planer von Google Ads eine ähnliche Funktion.

Benutzeroberfläche des Keyword-Planers Google Ads API
Keywords eingeben CampaignToForecast.negative_keywords oder ForecastAdGroup.biddable_keywords oder ForecastAdGroup.negative_keywords
Standorte CampaignToForecast.geo_targets
Sprachen CampaignToForecast.language_constants
Suchnetzwerke CampaignToForecast.keyword_plan_network
CPC-Gebot
Datumsbereich forecastGenerateKeywordForecastMetricsRequest.forecast_period_period
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