Avoid errors and improve data quality in Adobe Customer Journey Analytics
Inconsistent Schema Across Channels
Challenge: Events collected from web, app, and backend sources may use different names or structures for the same actions.
Impact: Difficulties in unifying datasets and analyzing customer journeys.
Unmapped Identity Fields
Challenge: Identities like ECID or CRM ID are not consistently collected or linked.
Impact: Fragmented user journeys and unreliable cross-device tracking.
Incomplete Event Context
Challenge: Events may lack metadata such as product category or user segment.
Impact: Limited analysis potential and weakened personalization strategies.
Latency Between Source and Platform
Challenge: Delays in ingestion from Adobe Analytics or Experience Events go unnoticed.
Impact: Inaccurate reporting and untimely insights for decision-making.
Broken Connections Between Datasets
Challenge: Joins between sources may fail silently due to schema drift or missing keys.
Impact: Gaps in the data pipeline and unreliable dashboards.
Schema Normalization Checks
Compares event structures across platforms to ensure compatibility and completeness.
Identity Tracking Validation
Ensures identity fields like ECID, CRM ID, or email are present, correctly formatted, and consistent.
Join Key Monitoring
Detects when keys used for stitching datasets are missing or mismatched.
Data Ingestion Alerting
Flags delays or anomalies in data ingestion timelines that may affect real-time dashboards.
Why is my journey data fragmented across sessions?
If identity fields like ECID, CRM ID, or cross-device ID are missing or inconsistent, Adobe CJA cannot stitch sessions correctly—leading to fragmented journeys. Trackingplan helps identify when and where identity fields are lost, so you can maintain user continuity across touchpoints.
How can I verify if data is flowing correctly from all channels into Adobe Customer Journey Analytics?
CJA combines data from multiple sources like web, apps, and CRMs. Trackingplan allows you to compare incoming event structures and timestamps across sources to ensure alignment. This way, you can detect missing or delayed events and confirm that each integration is feeding into CJA as intended.
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