Avoid errors and improve data quality in Adobe Client Data Layer
Incorrect Event Schema Structure
Challenge: Events pushed without required fields like component or data.
Impact: Events fail silently and go untracked.
Timing Issues in SPA Loads
Challenge: Events fire before Adobe libraries are ready.
Impact: Dropped or ignored events during navigation.
Invalid Component Hierarchies
Challenge: Malformed trees confuse structured analytics tools.
Impact: Broken relationships in content interaction data.
Silent Failures on Push
Challenge: Events with missing values don’t trigger alerts.
Impact: False sense of tracking accuracy and data loss.
Inconsistent Key Naming
Challenge: Variations like productID vs productId cause mapping issues.
Impact: Fragmented or missing data in reports.
Event Schema Validation
Tracks all pushes to the ACDL and checks them against the required Adobe schema.
SPA Event Syncing
Detects events that are pushed too early or too late relative to the SDK lifecycle.
Structure and Key Consistency Audits
Verifies consistency in component naming, object nesting, and key formats.
Contextual Error Highlighting
Shows you exactly which parts of the data layer are malformed or incomplete in each event.
How do I know if Adobe Client Data Layer is working properly in my SPA?
Single-page apps often struggle with timing and sequencing issues in the Adobe Client Data Layer. Trackingplan shows you each event.push and its structure as it happens, and validates it against Adobe’s expected format. If an event is malformed, pushed too early or late, or never pushed at all, you’ll know instantly.
Why are some ACDL pushes not showing up in Adobe Analytics?
Silent failures are common when ACDL events are not properly structured or fired at the wrong time. Trackingplan surfaces these issues by highlighting pushes that deviate from your spec or that don’t trigger downstream analytics events—giving you full transparency and control over your data layer.
Still have questions?
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Our results in numbers
Achieve more by getting rid of manual processes and validations
From weeks to hours
Reduction of measurement error resolution time
90%
Hours saved per month per FTE
Reduction in data errors in reports
Improvement in campaign performance
Efficiency increase in marketing automation
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