Avoid errors and improve data quality in Adobe Product Analytics
Missing or Inconsistent Event Tracking
Challenge: Important user actions (e.g., button clicks, feature use, or product views) aren’t tracked consistently across platforms.
Impact: Missing data results in incomplete user journey analysis and flawed product optimization decisions.
Event Parameters Not Matching Specifications
Challenge: DataLayer variables or custom events are misconfigured, leading to incorrect parameters being sent.
Impact: Makes it difficult to correctly segment users and understand behavior patterns in Adobe Product Analytics.
Incorrectly Configured Custom Metrics or Properties
Challenge: Custom metrics or properties aren’t mapped properly or are inconsistent across different environments.
Impact: Leads to unreliable analysis of product performance and KPIs, skewing optimization efforts.
Broken Integrations with Other Platforms
Challenge: Integration between Adobe Product Analytics and other tools (like CRMs or email platforms) breaks after updates.
Impact: Causes data silos and gaps in attribution, reducing the effectiveness of cross-platform reporting.
Over-Reliance on Manual QA
Challenge: Manual quality assurance checks fail to catch edge cases, especially in large-scale, complex product environments.
Impact: Missed tracking errors can persist, undermining the accuracy of product insights.
Real-time Event Tracking Validation
Detects missing, misconfigured, or broken events as they happen, ensuring all user actions are tracked correctly.
Automated Parameter and Variable Checks
Monitors dataLayer variables and event parameters to ensure they align with your specifications — preventing misattribution.
Cross-Environment Consistency Checks
Validates custom metrics and properties across all environments, ensuring data consistency between staging, QA, and production environments.
Integration Monitoring Across Platforms
Automatically checks the health of integrations with other tools, alerting you when issues impact your product analytics data.
Why is my user event data incomplete in Adobe Product Analytics?
Trackingplan detects when high-value user interactions—like feature clicks, conversions, or funnel steps—stop triggering or go missing. You’ll be alerted before the issue affects your analysis or internal reports, helping you avoid blind spots in your product data.
How can I ensure all event parameters match my specifications?
Parameter mismatches can cause segmentation failures, broken reports, or incorrect dashboards. Trackingplan automatically validates the structure and values of every parameter against your specs and flags any deviations—so you maintain clean, reliable datasets.
How do I know if my custom metrics are accurately tracked?
Trackingplan audits your entire analytics taxonomy, including custom events and properties, to confirm they are being tracked properly across environments. It notifies you if custom metrics are firing incorrectly, carrying invalid values, or not appearing at all.
Can Trackingplan monitor my integrations with other platforms?
Yes. Whether you're feeding Adobe Product Analytics with data from a tag manager, a CDP, or a mobile SDK, Trackingplan checks that the data flow remains intact across systems. This ensures end-to-end visibility and a stable foundation for your product analytics.
Still have questions?
Happy tracking, happy clients
Because life’s too short for tedious data work
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
Similar integrations
Preply
Qualaroo
Pendo
Woopra
Hotjar
Heap
Deliver trusted insights without wasting time on manual audits
