Query examples

Last update: February 13, 2025

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In this page, you will find the list of Adobe Journey Optimizer datasets and related use cases:

To view the complete list of fields and attributes for each schema, consult the Journey Optimizer schema dictionary.

Email Tracking Experience Event Dataset

Name in the interface : AJO Email Tracking Experience Event Dataset

System dataset for ingesting email tracking experience events from Journey Optimizer.

The related schema is AJO Email Tracking Experience Event Schema.

This query shows the counts of different email interactions (opens, clicks) for a given message:

select
    _experience.customerJourneyManagement.messageInteraction.interactionType AS interactionType,
    count(1) eventCount
from ajo_email_tracking_experience_event_dataset
where
     _experience.customerJourneyManagement.messageExecution.messageExecutionID IN ('UMA-30647505')
group by
    _experience.customerJourneyManagement.messageInteraction.interactionType

This query shows the breakdown of counts of different email interactions (opens, clicks) by message for a given journey:

select
    _experience.customerJourneyManagement.messageExecution.messageExecutionID AS messageExecutionID,
    _experience.customerJourneyManagement.messageInteraction.interactionType AS interactionType,
    count(1) eventCount
from ajo_email_tracking_experience_event_dataset
where
     _experience.customerJourneyManagement.messageExecution.journeyVersionID IN ('0e86ac62-c315-48cc-ab4f-3f8b741ae667')
group by
    _experience.customerJourneyManagement.messageExecution.messageExecutionID,
    _experience.customerJourneyManagement.messageInteraction.interactionType
order by
    _experience.customerJourneyManagement.messageExecution.messageExecutionID,
    _experience.customerJourneyManagement.messageInteraction.interactionType
limit 100;

Message Feedback Event Dataset

Name in the interface: AJO Message Feedback Event Dataset

Dataset for ingesting email and push application feedback events from Journey Optimizer.

The related schema is AJO Message Feedback Event Schema.

This query shows the counts of different email feedback status (sent, bounce, etc) for a given message:

select
    _experience.customerJourneyManagement.messageDeliveryfeedback.feedbackStatus AS feedbackStatus,
    count(1) eventCount
from ajo_message_feedback_event_dataset
where
     _experience.customerJourneyManagement.messageExecution.messageExecutionID IN ('UMA-30647505')
group by
    _experience.customerJourneyManagement.messageDeliveryfeedback.feedbackStatus;

This query shows the breakdown of counts of different email feedback status (sent, bounce, etc) by message for a given journey:

select
    _experience.customerJourneyManagement.messageExecution.messageExecutionID AS messageExecutionID,
    _experience.customerJourneyManagement.messageDeliveryfeedback.feedbackStatus AS feedbackStatus,
    count(1) eventCount
from ajo_message_feedback_event_dataset
where
     _experience.customerJourneyManagement.messageExecution.journeyVersionID IN ('0e86ac62-c315-48cc-ab4f-3f8b741ae667')
group by
    _experience.customerJourneyManagement.messageExecution.messageExecutionID,
    _experience.customerJourneyManagement.messageDeliveryfeedback.feedbackStatus
order by
    _experience.customerJourneyManagement.messageExecution.messageExecutionID,
    _experience.customerJourneyManagement.messageDeliveryfeedback.feedbackStatus
limit 100;

At aggregate level, domain level report (sorted by top domains): Domain Name, Message Sent, Bounces

SELECT split_part(_experience.customerJourneyManagement.emailChannelContext.address, '@', 2) AS recipientDomain, SUM( CASE WHEN _experience.customerJourneyManagement.messageDeliveryfeedback.feedbackStatus = 'sent' THEN 1 ELSE 0 END)AS sentCount , SUM( CASE WHEN _experience.customerJourneyManagement.messageDeliveryfeedback.feedbackStatus = 'bounce' THEN 1 ELSE 0 END )AS bounceCount FROM ajo_message_feedback_event_dataset WHERE _experience.customerjourneymanagement.messageprofile.channel._id = 'https://ns.adobe.com/xdm/channels/email' GROUP BY recipientDomain ORDER BY sentCount DESC;

Email sends on daily basis:

SELECT date_trunc('day', TIMESTAMP) AS rolluptimestamp, SUM( CASE WHEN _experience.customerjourneymanagement.messagedeliveryfeedback.feedbackstatus = 'sent' THEN 1 ELSE 0 END) AS deliveredcount FROM ajo_message_feedback_event_dataset WHERE _experience.customerjourneymanagement.messageprofile.channel._id = 'https://ns.adobe.com/xdm/channels/email' GROUP BY date_trunc('day', TIMESTAMP) ORDER BY rolluptimestamp ASC;

Find if a particular email id received an email or not and if not, then what was the error, bounce category, code:

SELECT _experience.customerjourneymanagement.messagedeliveryfeedback.feedbackstatus AS status, _experience.customerjourneymanagement.messagedeliveryfeedback.messagefailure.reason AS failurereason, _experience.customerjourneymanagement.messagedeliveryfeedback.messagefailure.type AS bouncetype FROM ajo_message_feedback_event_dataset WHERE _experience.customerjourneymanagement.messageprofile.channel._id = 'https://ns.adobe.com/xdm/channels/email' AND _experience.customerjourneymanagement.emailchannelcontext.address = 'user@domain.com' AND TIMESTAMP >= now() - INTERVAL '7' DAY ORDER BY status ASC

Find the list of all individual email ids which had a particular error, bounce category or code in the last x hours/days or associated with a particular message delivery:

SELECT _experience.customerjourneymanagement.emailchannelcontext.address AS emailid, _experience.customerjourneymanagement.messagedeliveryfeedback.feedbackstatus AS status, _experience.customerjourneymanagement.messagedeliveryfeedback.messagefailure.reason AS failurereason, _experience.customerjourneymanagement.messagedeliveryfeedback.messagefailure.type AS bouncetype FROM ajo_message_feedback_event_dataset WHERE _experience.customerjourneymanagement.messageprofile.channel._id = 'https://ns.adobe.com/xdm/channels/email' AND _experience.customerjourneymanagement.messagedeliveryfeedback.feedbackstatus != 'sent' AND TIMESTAMP >= now() - INTERVAL '10' HOUR AND _experience.customerjourneymanagement.messageexecution.messageexecutionid = 'BMA-45237824' ORDER BY emailid

Hard Bounce Rate at aggregate level:

select hardBounceCount, case when sentCount > 0 then(hardBounceCount/sentCount)*100.0 else 0 end as hardBounceRate from ( select SUM( CASE WHEN _experience.customerJourneyManagement.messageDeliveryfeedback.feedbackStatus = 'bounce' AND _experience.customerJourneyManagement.messageDeliveryfeedback.messageFailure.type = 'Hard' THEN 1 ELSE 0 END)AS hardBounceCount , SUM( CASE WHEN _experience.customerJourneyManagement.messageDeliveryfeedback.feedbackStatus = 'sent' THEN 1 ELSE 0 END )AS sentCount from ajo_message_feedback_event_dataset WHERE _experience.customerjourneymanagement.messageprofile.channel._id = 'https://ns.adobe.com/xdm/channels/email' )

Permanent errors grouped by bounce code:

SELECT _experience.customerjourneymanagement.messagedeliveryfeedback.messagefailure.reason AS failurereason, COUNT(*) AS hardbouncecount FROM ajo_message_feedback_event_dataset WHERE _experience.customerjourneymanagement.messagedeliveryfeedback.feedbackstatus = 'bounce' AND _experience.customerjourneymanagement.messagedeliveryfeedback.messagefailure.type = 'Hard' AND _experience.customerjourneymanagement.messageprofile.channel._id = 'https://ns.adobe.com/xdm/channels/email' GROUP BY failurereason

Identify quarantined addresses after an ISP outage

In case of an Internet Service Provider (ISP) outage, you need to idenfity email addresses wrongly maked as bounces (quarantined) for specific domains, during a timeframe. To get those adresses, use the following query:

SELECT
    _experience.customerJourneyManagement.emailChannelContext.address AS RecipientAddress,
    timestamp AS EventTime,
    _experience.customerJourneyManagement.messageDeliveryfeedback.messageFailure.reason AS "Invalid Recipient"
FROM ajo_message_feedback_event_dataset
WHERE
    eventtype = 'message.feedback' AND
    DATE(timestamp) BETWEEN '<start-date-time>' AND '<end-date-time>' AND
    _experience.customerjourneymanagement.messagedeliveryfeedback.feedbackstatus = 'bounce' AND
    _experience.customerJourneyManagement.emailChannelContext.address ILIKE '%domain.com%'
ORDER BY timestamp DESC;

where the format of dates is: YYYY-MM-DD HH:MM:SS.

Once identified, remove those addresses from Journey Optimizer suppression list. Learn more.

Push Tracking Experience Event Dataset

Name in the interface: AJO Push Tracking Experience Event Dataset

Dataset for ingesting mobile tracking experience events for push from Journey Optimizer.

The related schema is AJO Push Tracking Experience Event Schema.

Query example:

select _experience.customerJourneyManagement.pushChannelContext.platform, sum(pushNotificationTracking.customAction.value)  from ajo_push_tracking_experience_event_dataset
group by _experience.customerJourneyManagement.pushChannelContext.platform

select  _experience.customerJourneyManagement.pushChannelContext.platform, SUM (_experience.customerJourneyManagement.messageInteraction.offers.offerCount) from ajo_email_tracking_experience_event_dataset
  group by _experience.customerJourneyManagement.pushChannelContext.platform

Journey Step Event

Internal name: Journey Step Events (system dataset)

Dataset for ingesting step events in the journey.

The related schema is Journey Step Event schema for Journey Orchestration.

This query shows the breakdown of action success counts by action label for a given journey:

select
    _experience.journeyOrchestration.stepEvents.actionName AS actionLabel,
    count(1) actionSuccessCount
from journey_step_events
where
     _experience.journeyOrchestration.stepEvents.journeyVersionID IN ('0e86ac62-c315-48cc-ab4f-3f8b741ae667')
     AND _experience.journeyOrchestration.stepEvents.actionID IS NOT NULL
     AND _experience.journeyOrchestration.stepEvents.actionType IS NOT NULL
     AND _experience.journeyOrchestration.stepEvents.actionExecutionErrorCode IS NULL
group by
    _experience.journeyOrchestration.stepEvents.actionName;

This query shows the breakdown of step entered counts by nodeId & nodeLabel for a given journey. nodeId is included here as nodeLabel can be the same for different journey nodes.

select
    _experience.journeyOrchestration.stepEvents.nodeID AS nodeID,
    _experience.journeyOrchestration.stepEvents.nodeName AS nodeLabel,
    count(1) stepEnteredCount
from journey_step_events
where
     _experience.journeyOrchestration.stepEvents.journeyVersionID IN ('0e86ac62-c315-48cc-ab4f-3f8b741ae667')
     AND _experience.journeyOrchestration.stepEvents.journeyNodeProcessed = TRUE
     AND _experience.journeyOrchestration.stepEvents.eventID IS DISTINCT FROM 'createInstance'
group by
    _experience.journeyOrchestration.stepEvents.nodeID,
    _experience.journeyOrchestration.stepEvents.nodeName;

Decisioning Event Dataset

Name in the interface: ODE DecisionEvents (system dataset)

Dataset for ingesting offer propositions to the users.

The related schema is ODE DecisionEvents.

This query shows all the offers returned the previous day:

SELECT date_format(Decision.Timestamp, 'MM/dd/yyyy') as Date
,HOUR(Decision.timestamp) as Hour
,COUNT(*)  as Count
FROM ode_decisionevents_b699fa78_efec_41b1_99fa_78efecc1b1ef_decision AS Decision
WHERE date_format(Decision.timestamp, 'MM/dd/yyyy') = date_format(CURRENT_DATE, 'MM/dd/yyyy') and Decision._experience.decisioning.propositionDetails.activity[0].id = 'xcore:offer-activity:13ab41890a335ad6'
GROUP BY date_format(Decision.Timestamp, 'MM/dd/yyyy')
,HOUR(Decision.timestamp)
ORDER BY 1, 2 DESC;

This query shows the number of times offers were proposed over the last 30 days of a particular activity/decision and its associated offer priority.

select proposedOffers.id,proposedOffers.name, po._experience.decisioning.ranking.priority, count(proposedOffers.id) as ProposedCount from (
select explode(propositionexplode.selections) AS proposedOffers from
(select explode(_experience.decisioning.propositionDetails) AS propositionexplode,timestamp FROM ode_decisionevents_itca_decisioning_20230925_235340_379  where date_format(timestamp, 'MM/dd/yyyy') >= date_format(DATE_ADD(CURRENT_DATE, -30), 'MM/dd/yyyy') and _experience.decisioning.propositionDetails.activity[0].id = 'xcore:offer-activity:12ae6f35a055c6f0')) a, decision_object_repository_personalized_offers po where proposedOffers.id LIKE 'xcore:personalized-offer%' and po._id=proposedOffers.id
group by proposedOffers.id, proposedOffers.name, po._experience.decisioning.ranking.priority;

BCC Feedback Event Dataset

Name in the interface: AJO BCC Feedback Event Dataset (system dataset)

Dataset to store information for BCC Messages.

Query for all BCC messages within 2 days (for a particular campaign):

SELECT bcc.*
FROM ajo_bcc_feedback_event_dataset AS bcc
WHERE
    bcc._experience.customerJourneyManagement.messageExecution.messageExecutionID = '<message-execution-id>' AND
    bcc.timestamp >= now() - INTERVAL '2' day;

Query with feedback dataset to show users who did not receive (all bounces and suppressions) and who have BCC entry for a particular message:

SELECT
    distinct bcc._experience.customerJourneyManagement.secondaryRecipientDetail.originalRecipientAddress AS OriginalRecipientAddress
FROM ajo_bcc_feedback_event_dataset  AS bcc
WHERE
    bcc.timestamp > now() - INTERVAL '2' DAY AND     bcc._experience.customerJourneyManagement.messageExecution.messageExecutionID  = '<message-execution-id>' AND      bcc._experience.customerJourneyManagement.secondaryRecipientDetail.originalRecipientAddress != '' AND
    (
            bcc._experience.customerJourneyManagement.secondaryRecipientDetail.originalRecipientAddress NOT IN (
        SELECT distinct mfe._experience.customerJourneyManagement.emailChannelContext.address
        FROM ajo_message_feedback_event_dataset AS mfe
        WHERE
            mfe.timestamp > now() - INTERVAL '2' DAY AND
            mfe._experience.customerJourneyManagement.messageExecution.messageExecutionID  = '<message-execution-id>' AND
            mfe._experience.customerjourneymanagement.messagedeliveryfeedback.feedbackstatus = 'sent'
        )
    OR     bcc._experience.customerJourneyManagement.secondaryRecipientDetail.originalRecipientAddress IN (
        SELECT distinct mfe._experience.customerJourneyManagement.emailChannelContext.address
        FROM ajo_message_feedback_event_dataset AS mfe
        WHERE
        mfe.timestamp > now() - INTERVAL '2' DAY AND
            mfe._experience.customerJourneyManagement.messageExecution.messageExecutionID  = '<message-execution-id>' AND
            mfe._experience.customerJourneyManagement.messageDeliveryfeedback.messageFailure.category = 'async' AND
            mfe._experience.customerjourneymanagement.messagedeliveryfeedback.feedbackstatus