Introduction
Ce guide explique les différentes façons d'utiliser de prévisions dans le bloc d'annonces Google de l'API Manager.
Prévisions de trafic
Les prévisions de trafic vous permettent lire l'historique du trafic ainsi que les opportunités d'impressions futures pour de segmenter et de préparer l'inventaire.
Java
// Create the date range. Include the previous and next 7 days.
Interval interval =
new Interval(
Instant.now().plus(Duration.standardDays(-7)),
Instant.now().plus(Duration.standardDays(7)));
DateRange dateRange = new DateRange();
dateRange.setStartDate(DateTimes.toDateTime(interval.getStart()).getDate());
dateRange.setEndDate(DateTimes.toDateTime(interval.getEnd()).getDate());
// Request the traffic data.
TrafficDataRequest trafficDataRequest = new TrafficDataRequest();
trafficDataRequest.setRequestedDateRange(dateRange);
trafficDataRequest.setTargeting(targeting);
TrafficDataResponse trafficData = forecastService.getTrafficData(trafficDataRequest);
Python
# Create a start date that's 7 days in the past and an end date that's 7 days
# in the future.
today = datetime.date.today()
start_date = today - datetime.timedelta(days=7)
end_date = today + datetime.timedelta(days=7)
# Create targeting.
targeting = {
'inventoryTargeting': {
'targetedAdUnits': [
{
'includeDescendants': True,
'adUnitId': root_ad_unit_id,
}
]
}
}
# Request the traffic forecast data.
traffic_data = forecast_service.getTrafficData({
'targeting': targeting,
'requestedDateRange': {
'startDate': start_date,
'endDate': end_date
}
})
PHP
// Create the date range. Include the previous and next 7 days.
$startDate = AdManagerDateTimes::fromDateTime(new DateTime('-7 day'))
->getDate();
$endDate = AdManagerDateTimes::fromDateTime(new DateTime('+7 day'))
->getDate();
$dateRange = new DateRange();
$dateRange->setStartDate($startDate);
$dateRange->setEndDate($endDate);
// Request the traffic forecast data.
$trafficDataRequest = new TrafficDataRequest();
$trafficDataRequest->setRequestedDateRange($dateRange);
$trafficDataRequest->setTargeting($targeting);
$trafficData = $forecastService->getTrafficData($trafficDataRequest);
C#
TrafficDataRequest trafficDataRequest = new TrafficDataRequest() {
requestedDateRange = new DateRange() {
startDate =
DateTimeUtilities.FromDateTime(startDate, "America/New_York").date,
endDate = DateTimeUtilities.FromDateTime(endDate, "America/New_York").date
},
targeting = new Targeting() {
inventoryTargeting = new InventoryTargeting()
{
targetedAdUnits = new AdUnitTargeting[] {
new AdUnitTargeting() {
adUnitId = rootAdUnitId,
includeDescendants = true
}
}
}
}
};
TrafficDataResponse trafficData =
forecastService.getTrafficData(trafficDataRequest);
Ruby
# Create a start date that's 7 days in the past and an end date that's 7 days
# in the future.
today = ad_manager.today
start_date = today - 7
end_date = today + 7
# Create targeting.
targeting = {
:inventory_targeting => {
:targeted_ad_units => [
{
:include_descendants => true,
:ad_unit_id => root_ad_unit_id
}
]
}
}
# Request the traffic forecast data.
traffic_data = forecast_service.get_traffic_data({
:targeting => targeting,
:requested_date_range => {
:start_date => start_date.to_h, :end_date => end_date.to_h
}
})
Prévisions de disponibilité
Une AvailabilityForecast indique le nombre maximal d'unités disponibles l'élément de campagne peut être réservé. Cette prévision est analogue au inventaire de l'interface utilisateur.
La prévision inclut les métriques disponibles, correspondantes, possibles, diffusées et réservées unités de mesure. Il peut également inclure tous les éléments de campagne en concurrence et les unités disponibles. pour chaque ciblage répartition en fonction des options définies dans AvailabilityForecastOptions : Par défaut, aucun de ces éléments n'est inclus dans la prévision.
La répartition du ciblage inclut les blocs mis en correspondance et disponibles pour chaque ciblage critères. Ces entrées de répartition sont générées automatiquement en fonction le ciblage des éléments de campagne. Par exemple, un élément de campagne ciblant l'ID de bloc d'annonces 123456 comprendrait une répartition semblable à celle-ci:
<targetingCriteriaBreakdowns> <targetingDimension>AD_UNIT</targetingDimension> <targetingCriteriaId>123456</targetingCriteriaId> <targetingCriteriaName>My Ad Unit Name</targetingCriteriaName> <excluded>false</excluded> <availableUnits>1000</availableUnits> <matchedUnits>2300</matchedUnits> </targetingCriteriaBreakdowns>
Vous pouvez exécuter des prévisions de disponibilité sur une ligne existante ou potentielle élément.
Élément de campagne existant
Vous pouvez effectuer une prévision de disponibilité pour un élément de campagne existant à l'aide de son ID.
Java
// Get the ForecastService.
ForecastServiceInterface forecastService =
adManagerServices.get(session, ForecastServiceInterface.class);
// Get forecast for line item.
AvailabilityForecastOptions options = new AvailabilityForecastOptions();
options.setIncludeContendingLineItems(true);
options.setIncludeTargetingCriteriaBreakdown(true);
AvailabilityForecast forecast =
forecastService.getAvailabilityForecastById(lineItemId, options);
long matched = forecast.getMatchedUnits();
double availablePercent = (forecast.getAvailableUnits() / (matched * 1.0)) * 100;
String unitType = forecast.getUnitType().toString().toLowerCase();
System.out.printf("%d %s matched.%n", matched, unitType);
System.out.printf("%.2f%% %s available.%n", availablePercent, unitType);
if (forecast.getPossibleUnits() != null) {
double possiblePercent = (forecast.getPossibleUnits() / (matched * 1.0)) * 100;
System.out.printf("%.2f%% %s possible.%n", possiblePercent, unitType);
}
System.out.printf(
"%d contending line items.%n",
forecast.getContendingLineItems() == null ? 0 : forecast.getContendingLineItems().length);
Python
# Initialize appropriate service.
forecast_service = client.GetService('ForecastService', version='v202408')
# Set forecasting options.
forecast_options = {
'includeContendingLineItems': True,
'includeTargetingCriteriaBreakdown': True,
}
# Get forecast for line item.
forecast = forecast_service.getAvailabilityForecastById(
line_item_id, forecast_options)
matched = int(forecast['matchedUnits'])
available_units = int(forecast['availableUnits'])
if matched > 0:
available_percent = (float(available_units) / matched) * 100.
else:
available_percent = 0
contending_line_items = getattr(forecast, 'contentingLineItems', [])
# Display results.
print('%s %s matched.' % (matched, forecast['unitType'].lower()))
print('%s%% %s available.' % (
available_percent, forecast['unitType'].lower()))
print('%d contending line items.' % len(contending_line_items))
if 'possibleUnits' in forecast and matched:
possible_percent = (int(forecast['possibleUnits'])/float(matched)) * 100.
print('%s%% %s possible' % (possible_percent, forecast['unitType'].lower()))
PHP
$forecastService = $serviceFactory->createForecastService($session);
// Get forecast for line item.
$options = new AvailabilityForecastOptions();
$options->setIncludeContendingLineItems(true);
$options->setIncludeTargetingCriteriaBreakdown(true);
$forecast = $forecastService->getAvailabilityForecastById(
$lineItemId,
$options
);
// Print out forecast results.
$matchedUnits = $forecast->getMatchedUnits();
$unitType = strtolower($forecast->getUnitType());
printf("%d %s matched.%s", $matchedUnits, $unitType, PHP_EOL);
if ($matchedUnits > 0) {
$availableUnits = $forecast->getAvailableUnits();
$percentAvailableUnits = $availableUnits / $matchedUnits * 100;
$possibleUnits = $forecast->getPossibleUnits();
$percentPossibleUnits = $possibleUnits / $matchedUnits * 100;
printf(
"%.2d%% %s available.%s",
$percentAvailableUnits,
$unitType,
PHP_EOL
);
printf(
"%.2d%% %s possible.%s",
$percentPossibleUnits,
$unitType,
PHP_EOL
);
}
printf(
"%d contending line items.%s",
count($forecast->getContendingLineItems()),
PHP_EOL
);
C#
using (ForecastService forecastService = user.GetService<ForecastService>())
{
// Get forecast for line item.
AvailabilityForecastOptions options = new AvailabilityForecastOptions();
options.includeContendingLineItems = true;
options.includeTargetingCriteriaBreakdown = true;
AvailabilityForecast forecast =
forecastService.getAvailabilityForecastById(lineItemId, options);
// Display results.
long matched = forecast.matchedUnits;
double availablePercent =
(double) (forecast.availableUnits / (matched * 1.0)) * 100;
String unitType = forecast.unitType.ToString().ToLower();
Console.WriteLine("{0} {1} matched.\n{2} % {3} available.", matched, unitType,
availablePercent, unitType);
if (forecast.possibleUnitsSpecified)
{
double possiblePercent =
(double) (forecast.possibleUnits / (matched * 1.0)) * 100;
Console.WriteLine(possiblePercent + "% " + unitType + " possible.\n");
}
Console.WriteLine("{0} contending line items.",
(forecast.contendingLineItems != null)
? forecast.contendingLineItems.Length
: 0);
Ruby
# Get the ForecastService.
forecast_service = ad_manager.service(:ForecastService, API_VERSION)
# Set forecasting options.
forecast_options = {
:include_contending_line_items => True,
:include_targeting_criteria_breakdown => True,
}
# Get forecast for the line item.
forecast = forecast_service.get_availability_forecast_by_id(
line_item_id, forecast_options
)
unless forecast.nil?
# Display results.
matched = forecast[:matched_units]
available_percent = forecast[:available_units] * 100.0 / matched
unit_type = forecast[:unit_type].to_s.downcase
puts '%.2f %s matched.' % [matched, unit_type]
puts '%.2f%% of %s available.' % [available_percent, unit_type]
puts '%d contending line items.' % forecast[:contending_line_items].size
unless forecast[:possible_units].nil?
possible_percent = forecast[:possible_units] * 100.0 / matched
puts '%.2f%% of %s possible.' % [possible_percent, unit_type]
end
end
Le résultat de cet exemple ressemble à ceci:
100 clicks matched.
2 contending line items.
Élément de campagne prospectif
Vous pouvez également instancier un élément de campagne prospectif et une prévision sans de le conserver. Pour ce faire, instanciez un objet d'élément de campagne local et définissez-le sur la ProspectiveLineItem. Si vous définissez une référence annonceur, les prévisions tiennent également compte des règles de blocage des règles.
Java
// Get forecast for prospective line item.
ProspectiveLineItem prospectiveLineItem = new ProspectiveLineItem();
prospectiveLineItem.setAdvertiserId(advertiserId);
prospectiveLineItem.setLineItem(lineItem);
AvailabilityForecastOptions options = new AvailabilityForecastOptions();
options.setIncludeContendingLineItems(true);
options.setIncludeTargetingCriteriaBreakdown(true);
AvailabilityForecast forecast =
forecastService.getAvailabilityForecast(prospectiveLineItem, options);
Python
prospective_line_item = {
'lineItem': line_item,
'advertiserId': advertiser_id
}
# Set forecasting options.
forecast_options = {
'includeContendingLineItems': True,
# The field includeTargetingCriteriaBreakdown can only be set if
# breakdowns are not manually specified.
# 'includeTargetingCriteriaBreakdown': True,
'breakdown': {
'timeWindows': [
now_datetime,
now_datetime + datetime.timedelta(days=1),
now_datetime + datetime.timedelta(days=2),
now_datetime + datetime.timedelta(days=3),
now_datetime + datetime.timedelta(days=4),
end_datetime
],
'targets': [
{
# Optional, the name field is only used to identify this
# breakdown in the response.
'name': 'United States',
'targeting': {
'inventoryTargeting': {
'targetedAdUnits': [
{
'includeDescendants': True,
'adUnitId': root_ad_unit_id,
}
]
},
'geoTargeting': {
'targetedLocations': [
{
'id': '2840',
'displayName': 'US'
}
]
}
}
},
{
# Optional, the name field is only used to identify this
# breakdown in the response.
'name': 'Geneva',
'targeting': {
'inventoryTargeting': {
'targetedAdUnits': [
{
'includeDescendants': True,
'adUnitId': root_ad_unit_id,
}
]
},
'geoTargeting': {
'targetedLocations': [
{
'id': '20133',
'displayName': 'Geneva'
}
]
}
}
}
]
}
}
# Get forecast.
forecast = forecast_service.getAvailabilityForecast(
prospective_line_item, forecast_options)
PHP
// Get forecast for prospective line item.
$prospectiveLineItem = new ProspectiveLineItem();
$prospectiveLineItem->setAdvertiserId($advertiserId);
$prospectiveLineItem->setLineItem($lineItem);
$options = new AvailabilityForecastOptions();
$options->setIncludeContendingLineItems(true);
$options->setIncludeTargetingCriteriaBreakdown(true);
$forecast = $forecastService->getAvailabilityForecast(
$prospectiveLineItem,
$options
);
C#
// Get availability forecast.
AvailabilityForecastOptions options = new AvailabilityForecastOptions()
{
includeContendingLineItems = true,
// Targeting criteria breakdown can only be included if breakdowns
// are not speficied.
includeTargetingCriteriaBreakdown = false,
breakdown = new ForecastBreakdownOptions
{
timeWindows = new DateTime[] {
lineItem.startDateTime,
DateTimeUtilities.FromDateTime(tomorrow.AddDays(1),
"America/New_York"),
DateTimeUtilities.FromDateTime(tomorrow.AddDays(2),
"America/New_York"),
DateTimeUtilities.FromDateTime(tomorrow.AddDays(3),
"America/New_York"),
DateTimeUtilities.FromDateTime(tomorrow.AddDays(4),
"America/New_York"),
lineItem.endDateTime
},
targets = new ForecastBreakdownTarget[] {
new ForecastBreakdownTarget()
{
// Optional name field to identify this breakdown
// in the response.
name = "United States",
targeting = new Targeting()
{
inventoryTargeting = new InventoryTargeting()
{
targetedAdUnits = new AdUnitTargeting[] {
new AdUnitTargeting()
{
adUnitId = rootAdUnitId,
includeDescendants = true
}
}
},
geoTargeting = new GeoTargeting()
{
targetedLocations = new Location[] {
new Location() { id = 2840L }
}
}
}
}, new ForecastBreakdownTarget()
{
// Optional name field to identify this breakdown
// in the response.
name = "Geneva",
targeting = new Targeting()
{
inventoryTargeting = new InventoryTargeting()
{
targetedAdUnits = new AdUnitTargeting[] {
new AdUnitTargeting()
{
adUnitId = rootAdUnitId,
includeDescendants = true
}
}
},
geoTargeting = new GeoTargeting()
{
targetedLocations = new Location[] {
new Location () { id = 20133L }
}
}
}
}
}
}
};
ProspectiveLineItem prospectiveLineItem = new ProspectiveLineItem()
{
advertiserId = advertiserId,
lineItem = lineItem
};
AvailabilityForecast forecast =
forecastService.getAvailabilityForecast(prospectiveLineItem, options);
Ruby
prospective_line_item = {
:advertiser_id => advertiser_id,
:line_item => line_item
}
# Set forecasting options.
forecast_options = {
:include_contending_line_items => true,
# The field includeTargetingCriteriaBreakdown can only be set if breakdowns
# are not mannually specified.
# :include_targeting_criteria_breakdown => true,
:breakdown => {
# Break down forecast by day from start_time to end_time
:time_windows => time_windows,
# Break down forecast by any targeting configuration
:targets => [
{
# Optional, the name field is only used to identify this breakdown in
# the response.
:name => 'United States',
:targeting => {
:inventory_targeting => targeting[:inventory_targeting],
:geo_targeting => {
:targeted_locations => [
{
:id => '2840',
:display_name => 'US'
}
]
}
}
},
{
# Optional, the name field is only used to identify this breakdown in
# the response.
:name => 'Geneva',
:targeting => {
:inventory_targeting => targeting[:inventory_targeting],
:geo_targeting => {
:targeted_locations => [
{
:id => '20133',
:display_name => 'Geneva'
}
]
}
}
}
]
}
}
# Get forecast for the line item.
forecast = forecast_service.get_availability_forecast(
prospective_line_item, forecast_options)
Prévisions de diffusion
Si vous souhaitez simuler la diffusion de plusieurs éléments de campagne en concurrence, utilisez une DeliveryForecast.
.Éléments de campagne existants
Vous pouvez générer des prévisions de diffusion pour des éléments de campagne existants à l'aide de leur ID.
Java
// Get the ForecastService.
ForecastServiceInterface forecastService =
adManagerServices.get(session, ForecastServiceInterface.class);
DeliveryForecastOptions options = new DeliveryForecastOptions();
DeliveryForecast forecast =
forecastService.getDeliveryForecastByIds(Longs.toArray(lineItemIds), options);
for (LineItemDeliveryForecast lineItemForecast : forecast.getLineItemDeliveryForecasts()) {
String unitType = lineItemForecast.getUnitType().toString().toLowerCase();
System.out.printf("Forecast for line item %d:%n", lineItemForecast.getLineItemId());
System.out.printf("\t%d %s matched%n", lineItemForecast.getMatchedUnits(), unitType);
System.out.printf("\t%d %s delivered%n", lineItemForecast.getDeliveredUnits(), unitType);
System.out.printf(
"\t%d %s predicted%n", lineItemForecast.getPredictedDeliveryUnits(), unitType);
}
Python
# Initialize appropriate service.
forecast_service = client.GetService('ForecastService', version='v202408')
# Get forecast for line item.
forecast = forecast_service.getDeliveryForecastByIds(
[line_item_id1, line_item_id2], {'ignoredLineItemIds': []})
for single_forecast in forecast['lineItemDeliveryForecasts']:
unit_type = single_forecast['unitType']
print('Forecast for line item %d:\n\t%d %s matched\n\t%d %s delivered\n\t'
'%d %s predicted\n' % (
single_forecast['lineItemId'], single_forecast['matchedUnits'],
unit_type, single_forecast['deliveredUnits'], unit_type,
single_forecast['predictedDeliveryUnits'], unit_type))
if __name__ == '__main__':
# Initialize client object.
ad_manager_client = ad_manager.AdManagerClient.LoadFromStorage()
main(ad_manager_client, LINE_ITEM_ID_1, LINE_ITEM_ID_2)
PHP
$forecastService = $serviceFactory->createForecastService($session);
// Get forecast for the line items with no options set.
$forecast = $forecastService->getDeliveryForecastByIds(
[$lineItemId1, $lineItemId2],
new DeliveryForecastOptions()
);
// Print out forecast results.
$lineItemDeliveryForecasts = $forecast->getLineItemDeliveryForecasts();
foreach ($lineItemDeliveryForecasts as $lineItemForecast) {
$unitType = strtolower($lineItemForecast->getUnitType());
printf(
"Forecast for line item ID %d:%s",
$lineItemForecast->getLineItemId(),
PHP_EOL
);
printf(
" %d %s matched%s",
$lineItemForecast->getMatchedUnits(),
$unitType,
PHP_EOL
);
printf(
" %d %s delivered%s",
$lineItemForecast->getDeliveredUnits(),
$unitType,
PHP_EOL
);
printf(
" %d %s predicted%s",
$lineItemForecast->getPredictedDeliveryUnits(),
$unitType,
PHP_EOL
);
}
C#
using (ForecastService forecastService = user.GetService<ForecastService>())
{
// Get a delivery forecast for the line items.
DeliveryForecastOptions options = new DeliveryForecastOptions();
options.ignoredLineItemIds = new long[]
{
};
DeliveryForecast forecast = forecastService.getDeliveryForecastByIds(new long[]
{
lineItemId1,
lineItemId2
}, options);
// Display results.
foreach (LineItemDeliveryForecast lineItemForecast in forecast
.lineItemDeliveryForecasts)
{
String unitType = lineItemForecast.unitType.GetType().Name.ToLower();
Console.WriteLine("Forecast for line item {0}:",
lineItemForecast.lineItemId);
Console.WriteLine("\t{0} {1} matched", lineItemForecast.matchedUnits,
unitType);
Console.WriteLine("\t{0} {1} delivered", lineItemForecast.deliveredUnits,
unitType);
Console.WriteLine("\t{0} {1} predicted",
lineItemForecast.predictedDeliveryUnits, unitType);
}
Ruby
# Get the ForecastService.
forecast_service = ad_manager.service(:ForecastService, API_VERSION)
# Get forecast for the line item.
forecast = forecast_service.get_delivery_forecast_by_ids(
[line_item_id1, line_item_id2], nil)
unless forecast.nil? || forecast[:line_item_delivery_forecasts].nil?
forecast[:line_item_delivery_forecasts].each do |single_forecast|
# Display results.
unit_type = single_forecast[:unit_type]
puts ('Forecast for line item %d:\n\t%d %s matched\n\t%d %s ' +
'delivered\n\t%d %s predicted\n') % [single_forecast[:line_item_id],
single_forecast[:matched_units], unit_type,
single_forecast[:delivered_units], unit_type,
single_forecast[:predicted_delivery_units], unit_type]
end
end
Le résultat de cet exemple ressemble à ceci:
Forecast for line item 14678:
100 clicks matched
0 clicks delivered
98 clicks predicted
Si vous souhaitez exclure des éléments de campagne de la simulation de diffusion, vous pouvez Par conséquent, définissez leurs identifiants DeliveryForecastOptions.
Éléments de campagne potentiels
Comme pour les prévisions de disponibilité, vous pouvez exécuter des prévisions de diffusion qui ne sont pas conservés. Pour ce faire, utilisez les objets ProspectiveLineItem dans la ForecastService.getDeliveryForecast .
Rapports sur les ventes prévisionnelles
Le rapport sur les ventes prévisionnelles à venir prédit la disponibilité des impressions pour votre réseau Google Ad Manager pour vous assurer d'optimiser vos revenus et le taux de ventes prévisionnelles. Vous pouvez générer un rapport sur les ventes prévisionnelles à venir via l'outil ReportService
Questions fréquentes
- Je souhaite prévoir la disponibilité de nombreux éléments de campagne. Puis-je effectuer plusieurs prévisions avec une même demande ?
- Non. Vous devez envoyer une demande de prévision de disponibilité distincte pour chaque ligne un élément de campagne spécifique ou un élément de campagne planifié.
- J'ai effectué plusieurs prévisions et j'obtiens maintenant EXCEEDED_QUOTA erreurs. What gives?
- Les prévisions consomment des ressources informatiques coûteuses, et le système de quotas garantit la fiabilité du service. Vous pouvez attendre en toute sécurité et relancer toutes les prévisions qui ont abouti dans une erreur de quota.
- Quelles sont les causes des erreurs NO_FORECAST_YET ou NOT_ENOUGH_INVENTORY ?
- Les prévisions sont exécutées en fonction du trafic de votre réseau historique. Parfois, les données historiques sont insuffisantes pour exécuter une prévision. Pour plus pour en savoir plus sur ces erreurs, consultez la ForecastError documentation.
- Qu'est-ce qu'une AlternativeUnitTypeForecast ?
- Il est parfois utile de connaître les autres inventaires disponibles. Pour Par exemple, lorsque vous prévoyez Ligne CPC le type d'unité alternatif les prévisions inclut des informations sur le nombre d'impressions.
- J'ai d'autres questions sur les prévisions Ad Manager en général.
- Vérifiez s'ils sont couverts par le produit questions fréquentes ou posez une question sur notre site pour les développeurs forum.