Data from Adobe Target is transformed into Experience Event XDM schema and ingested into Experience Platform as datasets for you. There are many use cases for Query Service with this data, and the following sample queries should work with your Adobe Target datasets.
In the following examples, you will need to edit the SQL to fill in the expected parameters for your queries based on the dataset, variables, or timeframe you are interested in evaluating. Provide parameters wherever you see { }
in the SQL.
Adobe Target Experience Events (friendly name)
adobe_target_experience_events
(name to use in query)
The use of [ ]
denotes an array
Name | XDM Field | Notes |
---|---|---|
mboxName | _experience.target.mboxname |
|
Activity ID | _experience.target.activities.activityID |
|
Experience ID | _experience.target.activities[].activityEvents[]._experience.target.activity.activityevent.context.experienceID |
|
Segment ID | _experience.target.activities[].activityEvents[].segmentEvents[].segmentID._id |
|
Event Scope | _experience.target.activities[].activityEvents[].eventScope |
Tracks new Visitor and Visit |
Step ID | _experience.target.activities[].activityEvents[]._experience.target.activity.activityevent.context.stepID |
Custom step ID for Campaign |
Price Total | commerce.order.priceTotal |
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