Challenge: User sessions are not properly recorded or tracked.
Impact: Results in a lack of visibility into user behavior, hindering the ability to optimize user experience and conversion strategies.
Challenge: Tags are implemented incorrectly or inconsistently.
Impact: Leads to incomplete or inaccurate session recordings, which affects data reliability and hinders performance analysis.
Challenge: Event triggers are misconfigured or not properly set.
Impact: Leads to missed interactions, such as clicks or form submissions, resulting in incomplete data and inaccurate tracking.
Challenge: Data is inconsistent across different sessions and users.
Impact: Causes confusion in analysis and makes it difficult to draw accurate insights, hindering informed decision-making.
Challenge: Real-time monitoring of tools like Hotjar is not implemented or used effectively.
Impact: Tracking issues may go unnoticed, leading to inaccurate data and delayed responses to potential user behavior changes.
Ensures that all relevant user sessions are recorded and available for analysis.
Tracks the correct firing of events to ensure no key user interactions are missed.
Provides real-time error detection to help identify issues in your Hotjar setup as they happen.
Continuously verifies that your session data is complete and consistent across platforms.
Accurate Hotjar tracking depends on the precise implementation of tracking tags and the proper recording of user interactions such as clicks, scrolls, and form inputs. Trackingplan automates the validation of these tags and monitors your Hotjar setup, helping you identify any gaps or errors that could lead to incomplete or misleading user behavior data.
Trackingplan offers real-time monitoring of your Hotjar implementation, instantly alerting you to any tracking failures or discrepancies. This proactive approach helps you fix issues quickly, preventing long periods of inaccurate or missing data that could impact user experience insights and optimization efforts.
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








