Challenge: Missing frontend data can cause you to overlook key user behavior signals, impacting performance analysis.
Impact: If you neglect frontend tracking, you might miss crucial user interactions and experience details. This incomplete view can lead to a flawed understanding of user engagement and hinder your ability to optimize performance effectively.
Challenge: Missing or broken tracking events result in inaccurate metrics, making it hard to link user actions to system performance.
Impact: Without complete event tracking, you'll have an unreliable view of user interactions and their impact on your system. This makes it difficult to identify bottlenecks, optimize performance, and understand the true user experience.
Challenge: When engineering and marketing teams use different tools, it can cause misalignment in key performance indicators (KPIs) and the insights they gather.
Impact: These discrepancies can lead to a fragmented understanding of performance and user behavior across the organization. It becomes harder for teams to agree on priorities, measure the impact of their efforts consistently, and work towards shared goals effectively.
Challenge: Manually finding issues in frontend tracking without automation is time-consuming and can miss errors.
Impact: This slow and unreliable process can delay the identification and fixing of broken tags, leading to prolonged periods of inaccurate data collection and hindering your ability to understand user behavior and measure performance effectively.
Challenge: If you're not monitoring tracking events in real time, data issues might not be noticed until they've already skewed important reports.
Impact: This delay in detection can lead to decisions being made based on flawed data, potentially impacting your understanding of performance and the effectiveness of your strategies. Addressing these issues after the fact can also be more time-consuming and resource-intensive.
Automatically checks that all expected tracking events are firing as intended and align with your tracking plan.
Sends instant alerts when tracking errors occur, helping you fix them before they affect analytics or performance monitoring.
Bridges the gap between analytics and engineering teams by providing a unified view of data quality.
Combines backend and frontend insights for a holistic view of the user experience.
Yes, while New Relic focuses on backend observability, Trackingplan specializes in frontend tracking validation, ensuring user events like clicks and page views are correctly captured. This complementary approach improves overall data completeness.
No, Trackingplan integrates seamlessly with your existing New Relic setup without requiring any changes. You can leverage both tools in tandem for a comprehensive observability and data validation solution.
Yes, Trackingplan detects broken or missing frontend tracking tags that might not be visible in backend monitoring. This proactive detection helps you maintain end-to-end data quality and prevent blind spots.
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





