Daten aus Adobe Target werden in Experience Ereignis XDM-Schema umgewandelt und als Datensätze in Adobe Experience Platform aufgenommen. Es gibt viele Anwendungsfälle für den Adobe Experience Platform Abfrage Service mit diesen Daten. Die folgenden Beispieldaten sollten mit Ihren Adobe Target-Datensätzen verwendet werden.
In Experience Platform lautet der Name des automatisch erstellten Datensatzes "Adobe Target Experience Ereignisses". Bei Verwendung dieses Datensatzes mit Abfragen sollten Sie den Namen adobe_target_experience_events
verwenden.
Die folgende Liste zeigt die Zielgruppen, die den entsprechenden XDM-Feldern zugeordnet sind.
Die Verwendung von [ ]
im XDM-Feld bezeichnet ein Array.
_experience.target.mboxname
_experience.target.activities.activityID
_experience.target.activities[].activityEvents[]._experience.target.activity.activityevent.context.experienceID
_experience.target.activities[].activityEvents[].segmentEvents[].segmentID._id
_experience.target.activities[].activityEvents[].eventScope
_experience.target.activities[].activityEvents[]._experience.target.activity.activityevent.context.stepID
commerce.order.priceTotal
Die folgenden Abfragen zeigen Beispiele für häufig verwendete Abfragen mit Adobe Target.
In den folgenden Beispielen müssen Sie die SQL bearbeiten, um die erwarteten Parameter für Ihre Abfragen basierend auf dem Datensatz, den Variablen oder dem Zeitraum, den Sie auswerten möchten, einzugeben. Geben Sie Parameter an, wo immer Sie { }
in der SQL sehen.
SELECT
Hour,
ActivityID,
COUNT(ActivityID) AS Instances
FROM
(
SELECT
date_format(from_utc_timestamp(timestamp, 'America/New_York'), 'yyyy-MM-dd HH') AS Hour,
EXPLODE(_experience.target.activities.activityID) AS ActivityID
FROM adobe_target_experience_events
WHERE TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}') AND
_experience.target.activities IS NOT NULL
)
GROUP BY Hour, ActivityID
ORDER BY Hour DESC, Instances DESC
LIMIT 24
SELECT
date_format(from_utc_timestamp(timestamp, 'America/New_York'), 'yyyy-MM-dd HH') AS Hour,
_experience.target.activities.activityID AS ActivityID,
COUNT(ActivityID) AS Instances
FROM adobe_target_experience_events
WHERE
array_contains( _experience.target.activities.activityID, {Activity ID} ) AND
TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}') AND
_experience.target.activities IS NOT NULL
GROUP BY Hour, ActivityID
ORDER BY Hour DESC
LIMIT 24
SELECT
Day,
Activities.activityID,
ExperienceID,
COUNT(ExperienceID) AS Instances
FROM
(
SELECT
Day,
Activities,
EXPLODE(Activities.activityEvents._experience.target.activity.activityevent.context.experienceID) AS ExperienceID
FROM
(
SELECT
date_format(from_utc_timestamp(timestamp, 'America/New_York'), 'yyyy-MM-dd') AS Day,
EXPLODE(_experience.target.activities) AS Activities
FROM adobe_target_experience_events
WHERE
TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}') AND
_experience.target.activities IS NOT NULL
)
WHERE Activities.activityID = {activity_id}
)
GROUP BY Day, Activities.activityID, ExperienceID
ORDER BY Day DESC, Instances DESC
LIMIT 20
SELECT
Day,
Activities.activityID,
EventScope,
COUNT(EventScope) AS Instances
FROM
(
SELECT
Day,
Activities,
EXPLODE(Activities.activityEvents.eventScope) AS EventScope
FROM
(
SELECT
date_format(from_utc_timestamp(timestamp, 'America/New_York'), 'yyyy-MM-dd') AS Day,
EXPLODE(_experience.target.activities) AS Activities
FROM adobe_target_experience_events
WHERE
TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}') AND
_experience.target.activities IS NOT NULL
)
)
GROUP BY Day, Activities.activityID, EventScope
ORDER BY Day DESC, Instances DESC
LIMIT 30
SELECT
Hour,
Activities.activityid,
SUM(CASE WHEN array_contains( Activities.activityEvents.eventScope, 'visitor' ) THEN 1 END) as Visitors,
SUM(CASE WHEN array_contains( Activities.activityEvents.eventScope, 'visit' ) THEN 1 END) as Visits,
SUM(CASE WHEN array_contains( Activities.activityEvents.eventScope, 'impression' ) THEN 1 END) as Impressions
FROM
(
SELECT
date_format(from_utc_timestamp(timestamp, 'America/New_York'), 'yyyy-MM-dd HH') AS Hour,
EXPLODE(_experience.target.activities) AS Activities
FROM adobe_target_experience_events
WHERE
TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}') AND
_experience.target.activities IS NOT NULL
)
GROUP BY Hour, Activities.activityid
ORDER BY Hour DESC, Visitors DESC
LIMIT 30
SELECT
Day,
Activities.activityID,
ExperienceID,
SegmentID._id,
SUM(CASE WHEN ActivityEvent.eventScope = 'visitor' THEN 1 END) as Visitors,
SUM(CASE WHEN ActivityEvent.eventScope = 'visit' THEN 1 END) as Visits,
SUM(CASE WHEN ActivityEvent.eventScope = 'impression' THEN 1 END) as Impressions
FROM
(
SELECT
Day,
Activities,
ActivityEvent,
ActivityEvent._experience.target.activity.activityevent.context.experienceID AS ExperienceID,
EXPLODE(ActivityEvent.segmentEvents.segmentID) AS SegmentID
FROM
(
SELECT
Day,
Activities,
EXPLODE(Activities.activityEvents) AS ActivityEvent
FROM
(
SELECT
date_format(from_utc_timestamp(timestamp, 'America/New_York'), 'yyyy-MM-dd') AS Day,
EXPLODE(_experience.target.activities) AS Activities
FROM adobe_target_experience_events
WHERE
TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}') AND
_experience.target.activities IS NOT NULL
LIMIT 1000000
)
LIMIT 1000000
)
LIMIT 1000000
)
GROUP BY Day, Activities.activityID, ExperienceID, SegmentID._id
ORDER BY Day DESC, Activities.activityID, ExperienceID ASC, SegmentID._id ASC, Visitors DESC
LIMIT 20
SELECT
_experience.target.mboxname,
COUNT(timestamp) AS records
FROM
adobe_target_experience_events
WHERE
TIMESTAMP = to_timestamp('{TARGET_YEAR}-{TARGET_MONTH}-{TARGET_DAY}')
GROUP BY _experience.target.mboxname ORDER BY records DESC
LIMIT 100