Le metriche di previsione forniscono metriche per le campagne proposte o esistenti, tra cui:
- Impressioni
- Percentuale di clic
- Costo per clic medio
- Clic
- Costo
Prova diverse configurazioni della campagna per ottimizzare ciascuna di queste metriche. Dati quali il punteggio di qualità storico e la percentuale di clic possono essere utilizzati nella previsione per simulare il rendimento previsto, ad esempio il tasso di conversione.
Le metriche di previsione vengono in genere utilizzate dopo le metriche storiche. Le metriche storiche riducono un elenco di parole chiave di grandi dimensioni a dimensioni più gestibili. Le metriche di previsione forniscono una stima più esatta del rendimento futuro della campagna. Inizia con le metriche storiche per le parole chiave. Quando l'elenco è gestibile, utilizza le metriche di previsione per ottimizzare il rendimento della campagna.
Generare metriche
Per generare metriche di previsione, completa i seguenti passaggi:
- Crea una campagna per la quale vuoi fare una previsione
CampaignToForecast. - Chiama
KeywordPlanIdeaService.GenerateKeywordForecastMetricsconCampaignToForecaste eventuali altri parametri, ad esempioforecast_period.
Creare una campagna da utilizzare per la previsione
Ecco alcuni suggerimenti per creare una campagna per le previsioni:
- Crea i gruppi di annunci in base a temi quali pertinenza delle creatività, categoria di prodotto o costo per clic.
- Includi parole chiave escluse comuni. Ad esempio, se non ti occupi di reclutamento, escludi la parola chiave "lavori".
- Utilizza un account correlato alla campagna. Non eseguire previsioni da un account non correlato. Google prende in considerazione fattori quali il punteggio di qualità e i contenuti delle creatività nella previsione.
- Se una campagna non è correlata al resto dell'account, utilizza un nuovo account pulito per la previsione.
- Ripeti le previsioni con orizzonti diversi per ottenere un quadro olistico.
Genera metriche di previsione
L'esempio di codice seguente invia una richiesta a
KeywordPlanIdeaService.GenerateKeywordForecastMetrics. Quindi,
esamina tutti i risultati e mostra ciascuna delle metriche di previsione.
La risposta può anche restituire ID provvisori nella risorsa, ad esempio
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.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;
}
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, 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}")
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::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;
}
Mappa all'interfaccia utente
KeywordPlanIdeaService.GenerateKeywordForecastMetrics
ha funzionalità simili nello Strumento di pianificazione delle parole chiave dell'interfaccia utente di Google Ads.
| UI dello Strumento di pianificazione delle parole chiave | API Google Ads |
|---|---|
| Inserisci parole chiave | CampaignToForecast.negative_keywords
o ForecastAdGroup.biddable_keywords
o ForecastAdGroup.negative_keywords |
| Località | CampaignToForecast.geo_targets |
| Lingue | CampaignToForecast.language_constants |
| Reti di ricerca | CampaignToForecast.keyword_plan_network |
| Offerta CPC | |
| Intervallo di date | forecastGenerateKeywordForecastMetricsRequest.forecast_period_period |