Metrik perkiraan menyediakan metrik untuk kampanye yang diusulkan atau yang sudah ada, termasuk:
- Tayangan
- Rasio klik-tayang
- Biaya per klik rata-rata
- Klik
- Biaya
Lakukan eksperimen dengan berbagai konfigurasi kampanye untuk mengoptimalkan setiap metrik ini. Data seperti skor kualitas historis dan rasio klik-tayang dapat digunakan dalam perkiraan untuk menyimulasikan performa yang diharapkan, seperti rasio konversi.
Metrik perkiraan biasanya digunakan setelah metrik historis. Metrik historis mengurangi daftar kata kunci yang besar menjadi ukuran yang lebih mudah dikelola. Metrik perkiraan memberikan estimasi yang lebih tepat tentang performa kampanye di masa mendatang. Mulai dengan metrik historis untuk kata kunci. Setelah daftar dapat dikelola, gunakan metrik perkiraan untuk mengoptimalkan performa kampanye Anda.
Membuat metrik
Untuk membuat metrik perkiraan, selesaikan langkah-langkah berikut:
- Buat kampanye yang ingin Anda perkirakan berdasarkan perkiraan
CampaignToForecast. - Panggil
KeywordPlanIdeaService.GenerateKeywordForecastMetricsdenganCampaignToForecasttersebut dan parameter lainnya, sepertiforecast_period.
Buat kampanye untuk diperkirakan
Berikut beberapa tips saat membuat kampanye untuk diperkirakan:
- Buat grup iklan berdasarkan tema seperti relevansi materi iklan, kategori produk, atau biaya per klik.
- Sertakan kata kunci negatif umum. Misalnya, jika Anda tidak sedang melakukan perekrutan, kecualikan kata kunci 'jobs' (pekerjaan).
- Gunakan akun yang terkait dengan kampanye. Jangan membuat perkiraan dari akun yang tidak terkait. Google memperhitungkan hal-hal seperti skor kualitas dan konten materi iklan ke dalam perkiraan.
- Jika kampanye tidak terkait dengan akun Anda lainnya, gunakan akun bersih baru untuk perkiraan.
- Mengulangi prakiraan dengan berbagai cakrawala untuk mendapatkan gambaran menyeluruh.
Membuat metrik perkiraan
Contoh kode berikutnya membuat permintaan ke
KeywordPlanIdeaService.GenerateKeywordForecastMetrics. Kemudian,
mengiterasi setiap hasil dan menampilkan setiap metrik
perkiraan.
Respons juga dapat menampilkan ID
sementara dalam resource—misalnya,
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.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;
}
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::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;
}
Memetakan ke UI
KeywordPlanIdeaService.GenerateKeywordForecastMetrics
memiliki fungsi serupa di Keyword Planner UI Google Ads.
| UI Keyword Planner | Google Ads API |
|---|---|
| Masukkan Kata Kunci | CampaignToForecast.negative_keywords
atau ForecastAdGroup.biddable_keywords
atau ForecastAdGroup.negative_keywords |
| Lokasi | CampaignToForecast.geo_targets |
| Bahasa | CampaignToForecast.language_constants |
| Jaringan Penelusuran | CampaignToForecast.keyword_plan_network |
| Bid CPC | |
| Rentang Tanggal | forecastGenerateKeywordForecastMetricsRequest.forecast_period_period |