Adobe Targetから取り込んだデータは Experience Event XDM スキーマに変換され、データセットとしてAdobe Experience Platformに取り込まれます。 Adobe Experience Platformクエリサービスは、このデータの多くの使用例を容易におこなえるようにし、以下のサンプルクエリはAdobe Targetデータセットと連携します。
Experience Platformでは、自動作成されたデータセットの名前は「Adobe Target Experience Events」です。 このデータセットをクエリで使用する場合は、名前を使用します adobe_target_experience_events
.
次のリストは、対応する XDM フィールドにマッピングされる Target フィールドを示しています。
の使用 [ ]
XDM フィールド内には、配列が含まれます。
_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
次のクエリは、Adobe Targetでよく使用されるクエリの例を示しています。
次の例では、SQL を編集し、評価するデータセット、変数、または期間に基づいて、クエリに必要なパラメーターを入力する必要があります。SQL の { }
が表示される場所にパラメーターを入力します。
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