Challenge: Custom events or user actions aren’t tracked correctly.
Impact: Results in incomplete user behavior data, making it harder to optimize campaigns.
Challenge: UTM parameters are not properly set up or inconsistent.
Impact: Leads to inaccurate attribution and skewed insights on campaign performance.
Challenge: Pageviews are not tracked on certain pages or events.
Impact: Causes gaps in user journey data, leading to misinformed decisions.
Challenge: Website updates or changes can break tracking tags.
Impact: Results in missing data and inaccurate analytics reporting.
Challenge: Users blocking tracking scripts can result in missing data.
Impact: Causes under-representation of audience insights, limiting data-driven decisions.
Track and ensure custom events and pageviews are correctly set up and monitored.
Detect and fix UTM tagging issues in real time to maintain accurate attribution.
Receive instant alerts when tags or events fail to fire, allowing for fast issue resolution.
Compare data across Plausible and other platforms to resolve discrepancies quickly.
Event tracking failures in Plausible can arise from misconfigurations or incomplete setups. Trackingplan automatically detects these issues and sends timely alerts, enabling you to quickly identify and correct problems to maintain accurate event data.
Trackingplan continuously validates your UTM tagging setup in real time, ensuring that all campaign parameters are properly formatted and applied. This ensures accurate campaign attribution and clean data for performance analysis.
Yes, Trackingplan automatically identifies when pageview events are not firing as expected in Plausible. It alerts you immediately so you can investigate and fix any gaps, ensuring comprehensive user behavior data collection.
Trackingplan monitors your privacy settings and flags if they are causing significant data loss or tracking gaps. This insight helps you balance user privacy with data quality, optimizing your setup to meet both compliance and analytical needs.
Because life’s too short for tedious data work
Achieve more by getting rid of manual processes and validations
Reduction of measurement error resolution time
Hours saved per month per FTE
Reduction in data errors in reports
Improvement in campaign performance
Efficiency increase in marketing automation





