Generuj dane prognozy

Dane prognozy zawierają dane proponowanych lub istniejących kampanii, w tym:

  • Wyświetlenia miniatur
  • Współczynnik klikalności
  • Średni koszt kliknięcia
  • Kliknięcia
  • Koszt

Eksperymentuj z różnymi konfiguracjami kampanii, aby zoptymalizować każdą z tych wartości. W prognozie mogą być używane dane takie jak historyczny wynik jakości i współczynnik klikalności, aby symulować oczekiwaną skuteczność, np. współczynnik konwersji.

Dane prognozowane są zwykle używane po danych historycznych. Dane historyczne zmniejszają długą listę słów kluczowych do bardziej przystępnego rozmiaru. Dane prognozy zapewniają dokładniejszą prognozę przyszłej skuteczności kampanii. Zacznij od danych historycznych dotyczących słów kluczowych. Gdy lista będzie już łatwiejsza w zarządzaniu, użyj prognozowanych danych, aby zoptymalizować skuteczność kampanii.

Generowanie danych

Aby wygenerować dane prognozy, wykonaj te czynności:

  1. Utwórz kampanię, dla której chcesz uzyskać prognozę CampaignToForecast.
  2. Wywołaj funkcję KeywordPlanIdeaService.GenerateKeywordForecastMetrics z tym parametrem CampaignToForecast i wszelkimi innymi parametrami, np. forecast_period.

Tworzenie kampanii do prognozowania

Oto kilka wskazówek, które pomogą Ci w tworzeniu prognoz dotyczących kampanii:

  • Utwórz grupy reklam na podstawie tematów, takich jak trafność kreacji, kategoria produktu lub koszt kliknięcia.
  • Uwzględnij typowe wykluczające słowa kluczowe. Jeśli na przykład nie zajmujesz się rekrutacją, wyklucz słowo kluczowe „praca”.
  • Użyj konta powiązanego z kampanią. Nie prognozuj na podstawie niezwiązanego konta. Google uwzględnia w prognozie takie czynniki jak jakość i treści reklam.
  • Jeśli kampania nie jest powiązana z pozostałą częścią konta, do prognozy użyj nowego, czystego konta.
  • Powtarzaj prognozy z różnymi horyzontami, aby uzyskać pełny obraz sytuacji.

Generowanie danych prognozy

W kolejnym przykładzie kodu wysyłamy żądanie do KeywordPlanIdeaService.GenerateKeywordForecastMetrics. Następnie przechodzi przez każdy wynik i wyświetla każdą z prognozowanych wartości.

Odpowiedź może też zwracać tymczasowe identyfikatory w zasobie, np. 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();
}
      

C#

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

    KeywordPlanIdeaServiceClient keywordPlanIdeaService =
            client.GetService(Services.V21.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;
}
      

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;
}
      

Python

def main(client: GoogleAdsClient, customer_id: str):
    """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: CampaignToForecast = create_campaign_to_forecast(
        client
    )
    generate_forecast_metrics(client, customer_id, campaign_to_forecast)


def create_campaign_to_forecast(client: GoogleAdsClient) -> CampaignToForecast:
    """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: GoogleAdsServiceClient = client.get_service(
        "GoogleAdsService"
    )
    # Create a campaign to forecast.
    campaign_to_forecast: CampaignToForecast = 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: CriterionBidModifier = 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: ForecastAdGroup = client.get_type("ForecastAdGroup")

    # Create and configure three BiddableKeyword instances.
    biddable_keyword_1: BiddableKeyword = 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: BiddableKeyword = 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: BiddableKeyword = 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: KeywordInfo = 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: GoogleAdsClient,
    customer_id: str,
    campaign_to_forecast: CampaignToForecast,
):
    """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: KeywordPlanIdeaServiceClient = (
        client.get_service("KeywordPlanIdeaService")
    )
    request: GenerateKeywordForecastMetricsRequest = 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: GenerateKeywordForecastMetricsResponse = (
        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}")
      

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::V21::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::V21::Services::KeywordPlanIdeaService::CampaignToForecast
    ->new({keywordPlanNetwork => 'GOOGLE_SEARCH'});

  # Set the bidding strategy.
  $campaign_to_forecast->{biddingStrategy}->{manualCpcBiddingStrategy} =
    Google::Ads::GoogleAds::V21::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::V21::Services::KeywordPlanIdeaService::CriterionBidModifier
      ->new({
        # Geo target constant 2840 is for USA.
        geoTargetConstant =>
          Google::Ads::GoogleAds::V21::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::V21::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::V21::Services::KeywordPlanIdeaService::ForecastAdGroup
      ->new({
        biddableKeywords => [
          Google::Ads::GoogleAds::V21::Services::KeywordPlanIdeaService::BiddableKeyword
            ->new({
              maxCpcBidMicros => 2500000,
              keyword => Google::Ads::GoogleAds::V21::Common::KeywordInfo->new({
                  text      => "mars cruise",
                  matchType => 'BROAD'
                })}
            ),
          Google::Ads::GoogleAds::V21::Services::KeywordPlanIdeaService::BiddableKeyword
            ->new({
              maxCpcBidMicros => 1500000,
              keyword => Google::Ads::GoogleAds::V21::Common::KeywordInfo->new({
                  text      => "cheap cruise",
                  matchType => 'PHRASE'
                })}
            ),
          Google::Ads::GoogleAds::V21::Services::KeywordPlanIdeaService::BiddableKeyword
            ->new({
              maxCpcBidMicros => 1990000,
              keyword => Google::Ads::GoogleAds::V21::Common::KeywordInfo->new({
                  text      => "jupiter cruise",
                  matchType => 'EXACT'
                })})
        ],
        negativeKeywords => [
          Google::Ads::GoogleAds::V21::Common::KeywordInfo->new({
              text      => "moon walk",
              matchType => 'BROAD'
            })]})];

  return $campaign_to_forecast;
}

      

Mapowanie na interfejs

KeywordPlanIdeaService.GenerateKeywordForecastMetrics ma podobną funkcję w Planerze słów kluczowych w interfejsie Google Ads.

Interfejs Planera słów kluczowych Interfejs Google Ads API
Wpisz słowa kluczowe CampaignToForecast.negative_keywords lub ForecastAdGroup.biddable_keywords lub ForecastAdGroup.negative_keywords
Lokalizacje CampaignToForecast.geo_targets
Języki CampaignToForecast.language_constants
Sieci wyszukiwania CampaignToForecast.keyword_plan_network
Stawka CPC
Zakres dat forecastGenerateKeywordForecastMetricsRequest.forecast_period_period