
Challenge: Important user interactions like button clicks or page views are not tracked.
Impact: Results in incomplete user journey data, which leads to less accurate insights and decision-making.
Challenge: Feature flags are misconfigured, causing them to fire improperly.
Impact: Results in inconsistent tracking and inaccurate feature usage data.
Challenge: Key custom properties are not tracked, limiting the granularity of insights.
Impact: Inaccurate segmentation and personalization due to missing data.
Challenge: Events are inconsistently named, leading to difficulty in analyzing and comparing data.
Impact: Makes it challenging to extract meaningful insights from the data collected.
Challenge: Updates to the website or app can cause PostHog events to stop firing.
Impact: Leads to missing data and inaccurate reporting.
Track all key events and feature flags to ensure they fire correctly and capture accurate data.
Identify and resolve issues with missing custom properties to ensure complete data capture.
Ensure consistent naming conventions for easy comparison and analysis of your PostHog events.
Receive immediate alerts if an event fails to fire or if there are issues with your PostHog setup.
Events in PostHog may fail due to misconfigurations, code changes, or deployment errors. Trackingplan detects these failures automatically and alerts you immediately, helping you maintain consistent event tracking without manual intervention.
Yes, Trackingplan scans your event properties and alerts you if any expected custom properties are missing. This helps maintain complete event context, which is crucial for detailed segmentation and analysis.
Mismatches often arise from inconsistent event naming, improper setup, or changes in event structure. Trackingplan ensures alignment by continuously validating event consistency and schema adherence, reducing errors that compromise data accuracy.
Trackingplan provides continuous monitoring to ensure that changes in your website or app don’t disrupt PostHog event tracking. It sends alerts if tracking fails post-update, allowing you to quickly address issues and maintain data integrity.
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






