Prognosemesswerte für vorgeschlagene oder vorhandene Kampagnen:
- Impressionen
- Klickrate
- Durchschnittlicher Preis pro Klick
- Klicks
- Kosten
Testen Sie verschiedene Kampagnenkonfigurationen, um die einzelnen Messwerte zu optimieren. Für die Prognose können Daten wie der bisherige Qualitätsfaktor und die Klickrate verwendet werden, um die erwartete Leistung, z. B. die Conversion-Rate, zu simulieren.
Prognosemesswerte werden in der Regel nach Verlaufsmesswerten verwendet. Mit bisherigen Messwerten lässt sich eine große Keyword-Liste auf eine überschaubare Größe reduzieren. Prognosemesswerte liefern eine genauere Schätzung der zukünftigen Kampagnenleistung. Beginnen Sie mit bisherigen Messwerten für Keywords. Sobald die Liste übersichtlich ist, können Sie anhand von Prognosemesswerten die Leistung Ihrer Kampagne optimieren.
Messwerte generieren
So generieren Sie Prognosemesswerte:
- Erstellen Sie eine Kampagne, für die Sie eine Prognose erstellen möchten.
CampaignToForecast - Rufen Sie
KeywordPlanIdeaService.GenerateKeywordForecastMetricsmit diesemCampaignToForecastund allen anderen Parametern wieforecast_periodauf.
Kampagne für die Prognose erstellen
Hier sind einige Tipps für die Erstellung Ihrer Kampagne zur Prognose:
- Erstellen Sie die Anzeigengruppen nach Themen wie Creative-Relevanz, Produktkategorie oder Kosten pro Klick.
- Häufig verwendete auszuschließende Keywords einbeziehen Wenn Sie beispielsweise nicht im Personalwesen tätig sind, schließen Sie das Keyword „Jobs“ aus.
- Verwenden Sie ein Konto, das mit der Kampagne verknüpft ist. Prognosen nicht über ein Konto erstellen, das nicht mit dem Unternehmen in Verbindung steht. Google berücksichtigt bei der Prognose Faktoren wie den Qualitätsfaktor und den Creative-Inhalt.
- Wenn eine Kampagne nicht mit dem Rest Ihres Kontos in Verbindung steht, verwenden Sie für die Prognose ein neues, sauberes Konto.
- Wiederholen Sie Prognosen mit unterschiedlichen Horizonten, um ein ganzheitliches Bild zu erhalten.
Prognosemesswerte generieren
Im nächsten Codebeispiel wird eine Anfrage an KeywordPlanIdeaService.GenerateKeywordForecastMetrics gesendet. Anschließend werden die einzelnen Ergebnisse durchlaufen und die jeweiligen Prognosemesswerte angezeigt.
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(); }
C#
public void Run(GoogleAdsClient client, long customerId) { CampaignToForecast campaignToForecast = CreateCampaignToForecast(); KeywordPlanIdeaServiceClient keywordPlanIdeaService = client.GetService(Services.V23.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
def generate_forecast_metrics(customer_id) # GoogleAdsClient will read a config file from # ENV['HOME']/google_ads_config.rb when called without parameters client = Google::Ads::GoogleAds::GoogleAdsClient.new campaign_to_forecast = create_campaign_to_forecast(client) # Generates forecast metrics and prints the results. keyword_plan_idea_service = client.service.keyword_plan_idea # Set the forecast range. Repeat forecasts with different horizons to get a # holistic picture. forecast_period = client.resource.date_range do |p| tomorrow = Date.today + 1 p.start_date = tomorrow.strftime("%Y-%m-%d") # Set the forecast end date to 30 days from today. thirty_days_from_now = Date.today + 30 p.end_date = thirty_days_from_now.strftime("%Y-%m-%d") end response = keyword_plan_idea_service.generate_keyword_forecast_metrics( customer_id: customer_id, campaign: campaign_to_forecast, forecast_period: forecast_period, ) metrics = response.campaign_forecast_metrics puts "Estimated daily clicks: #{metrics.clicks}" puts "Estimated daily impressions: #{metrics.impressions}" puts "Estimated daily average CPC: #{metrics.average_cpc_micros}" end def create_campaign_to_forecast(client) campaign_to_forecast = client.resource.campaign_to_forecast do |c| c.keyword_plan_network = :GOOGLE_SEARCH c.bidding_strategy = client.resource.campaign_bidding_strategy do |bs| bs.manual_cpc_bidding_strategy = client.resource.manual_cpc_bidding_strategy do |mbs| mbs.max_cpc_bid_micros = 1000000 end end criterion_bid_modifier = client.resource.criterion_bid_modifier # For the list of geo target IDs, see: # https://developers.google.com/google-ads/api/reference/data/geotargets # Geo target constant 2840 is for USA. criterion_bid_modifier.geo_target_constant = client.path.geo_target_constant("2840") c.geo_modifiers << 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. language_constant = client.path.language_constant("1000") # English c.language_constants << language_constant # Create forecast ad groups based on themes such as creative relevance, # product category, or cost per click. forecast_ad_group = client.resource.forecast_ad_group biddable_keyword_1 = client.resource.biddable_keyword do |bk| bk.max_cpc_bid_micros = 1500000 bk.keyword = client.resource.keyword_info do |k| k.text = "mars cruise" k.match_type = :BROAD end end biddable_keyword_2 = client.resource.biddable_keyword do |bk| bk.max_cpc_bid_micros = 2500000 bk.keyword = client.resource.keyword_info do |k| k.text = "cheap cruise" k.match_type = :PHRASE end end biddable_keyword_3 = client.resource.biddable_keyword do |bk| bk.max_cpc_bid_micros = 1990000 bk.keyword = client.resource.keyword_info do |k| k.text = "cheap cruise" k.match_type = :EXACT end end forecast_ad_group.biddable_keywords << biddable_keyword_1 forecast_ad_group.biddable_keywords << biddable_keyword_2 forecast_ad_group.biddable_keywords << biddable_keyword_3 # Create and configure a negative keyword, then add it to the forecast ad # group. negative_keyword = client.resource.keyword_info do |k| k.text = "moon walk" k.match_type = :BROAD end forecast_ad_group.negative_keywords << negative_keyword c.ad_groups << forecast_ad_group end return campaign_to_forecast end
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::V23::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::V23::Services::KeywordPlanIdeaService::CampaignToForecast ->new({keywordPlanNetwork => 'GOOGLE_SEARCH'}); # Set the bidding strategy. $campaign_to_forecast->{biddingStrategy}->{manualCpcBiddingStrategy} = Google::Ads::GoogleAds::V23::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::V23::Services::KeywordPlanIdeaService::CriterionBidModifier ->new({ # Geo target constant 2840 is for USA. geoTargetConstant => Google::Ads::GoogleAds::V23::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::V23::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::V23::Services::KeywordPlanIdeaService::ForecastAdGroup ->new({ biddableKeywords => [ Google::Ads::GoogleAds::V23::Services::KeywordPlanIdeaService::BiddableKeyword ->new({ maxCpcBidMicros => 2500000, keyword => Google::Ads::GoogleAds::V23::Common::KeywordInfo->new({ text => "mars cruise", matchType => 'BROAD' })} ), Google::Ads::GoogleAds::V23::Services::KeywordPlanIdeaService::BiddableKeyword ->new({ maxCpcBidMicros => 1500000, keyword => Google::Ads::GoogleAds::V23::Common::KeywordInfo->new({ text => "cheap cruise", matchType => 'PHRASE' })} ), Google::Ads::GoogleAds::V23::Services::KeywordPlanIdeaService::BiddableKeyword ->new({ maxCpcBidMicros => 1990000, keyword => Google::Ads::GoogleAds::V23::Common::KeywordInfo->new({ text => "jupiter cruise", matchType => 'EXACT' })}) ], negativeKeywords => [ Google::Ads::GoogleAds::V23::Common::KeywordInfo->new({ text => "moon walk", matchType => 'BROAD' })]})]; return $campaign_to_forecast; }
Benutzeroberfläche zuordnen
KeywordPlanIdeaService.GenerateKeywordForecastMetrics
hat eine ähnliche Funktion im Keyword-Planer der Google Ads-Benutzeroberfläche.
| UI 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 |