
Challenge: Missing tracking for website visitors and traffic sources.
Impact: Incomplete insights into traffic performance and user acquisition.
Challenge: Inaccurate tracking of user interactions such as clicks or form submissions.
Impact: Gaps in understanding user engagement and behavior.
Challenge: Mismatches in attribution between Cloudflare and other analytics platforms.
Impact: Conflicting insights and poor optimization strategies.
Challenge: Failing to track key web performance metrics like page load times or errors.
Impact: Missed opportunities to improve website performance.
Challenge: Misconfigured privacy settings that may lead to non-compliance with regulations.
Impact: Potential legal and regulatory risks.
Ensure that your analytics setup is in compliance with data privacy regulations to avoid legal risks.
Ensure that key user interactions, such as clicks and form submissions, are tracked accurately.
Validate attribution across Cloudflare Web Analytics and other analytics platforms for consistent data.
Ensure that key performance metrics, such as page load times and errors, are captured for actionable insights.
Differences between platforms often stem from variations in attribution models, traffic filtering criteria, or tracking implementation errors. Trackingplan compares your Cloudflare data against other tools to identify significant discrepancies and helps you understand whether these are due to different configurations, bot traffic filtering, or event firing issues. This enables you to align your data sources and make confident decisions.
Cloudflare relies on automatic pageview tracking, but if your site uses modern frameworks like React or Next.js with SPA navigation, pageviews might not register properly. Trackingplan validates that all expected pageview events are sent and alerts you if any are missing, duplicated, or if navigation is not generating the necessary events—ensuring you don’t lose visibility into real user behavior.
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






