Avoid errors and improve data quality in Google Tag Manager 360
Complex Tag Firing Issues
Challenge: Firing triggers for multiple tags are misconfigured or conflicting.
Impact: Causes event tracking to fail or become inconsistent, leading to incomplete or inaccurate data collection and reporting.
Overuse of Custom Tags
Challenge: Excessive reliance on custom tags rather than standard solutions.
Impact: Complicates the tracking setup, increasing the likelihood of errors and making it harder to maintain accurate data collection.
Failure to Utilize Version Control
Challenge: Version control is not properly implemented or used for tag management.
Impact: Leads to errors and missing updates across tags, making it difficult to maintain consistent and accurate tracking configurations.
Tagging Inconsistencies Across Teams
Challenge: Multiple teams work on the same GTM account without standardized processes.
Impact: Introduces inconsistent tagging, leading to fragmented data and making it difficult to draw accurate conclusions across campaigns and platforms.
Not Testing Tags in Preview Mode
Challenge: Tags are deployed without first testing them in preview and debug modes.
Impact: Leads to undetected errors in tags, which can result in incorrect data being collected once the tags go live.
Automated Tagging Checks
Continuously verifies that all tags are firing correctly and are configured for optimal performance.
Version Control Monitoring
Ensures all changes are properly documented and that tags are updated across all environments.
Real-Time Error Alerts
Provides immediate feedback on tag errors or misconfigurations, enabling faster troubleshooting.
Cross-Team Tagging Coordination
Prevents inconsistencies between teams by standardizing tag implementation practices.
How do I optimize my tag management in Google Tag Manager 360?
Optimizing tag management means ensuring tags are correctly placed, firing in the right sequence, and regularly validated for accuracy. Trackingplan automates these tasks by continuously monitoring your setup and providing real-time alerts for errors, helping you maintain reliable and efficient tag management.
Can Trackingplan detect issues with data layer implementation in Google Tag Manager 360?
Absolutely. Trackingplan monitors and validates your data layer configuration to ensure all required variables are correctly implemented and functioning as intended, reducing the risk of tracking errors due to data layer issues.
How does Trackingplan improve collaboration when using Google Tag Manager 360?
Trackingplan streamlines team collaboration by automating tag validation and sending immediate error notifications. This enables teams to quickly identify, communicate, and resolve tracking issues, improving overall workflow efficiency and data quality.
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
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