
Challenge: Key user interactions like clicks or form submissions aren't properly tracked due to script load issues or tag misplacement.
Impact: Leads to incomplete session replays and misleading funnel analytics.
Challenge: yTrack uses a different identifier from other platforms (e.g., GA4, CRM), making cross-platform tracking unreliable.
Impact: Breaks attribution chains and hinders customer journey mapping.
Challenge: In single-page applications, yTrack may not detect route changes as new pageviews.
Impact: Sessions appear shorter, and engagement metrics are underreported.
Challenge: Developers push code without revalidating analytics setups.
Impact: yTrack stops capturing events silently, skewing session data and insights.
Challenge: Event counts differ across platforms with no visibility into the root cause.
Impact: Undermines trust in behavioral analytics and stalls decision-making.
Automatically checks if key yTrack events (like clicks, scrolls, or form submissions) are firing as expected.
Tracks consistency of user identifiers across yTrack, GA4, CRMs, and more—preserving attribution integrity.
Identifies when yTrack misses page transitions in SPAs and alerts you instantly.
Validates your tracking setup continuously, catching tracking drops or mismatches post-release.
Missing key events in yTrack often result from events never firing or parameters being incomplete. Trackingplan detects these issues proactively, allowing you to fix problems before they skew your analytics metrics and impact decision-making.
Yes. Differences in setup, sequencing, or event filtering can cause discrepancies. Trackingplan compares data streams between yTrack and GA4 to identify root causes of mismatches, helping you synchronize your tracking.
Trackingplan offers continuous monitoring and real-time alerts to flag tracking issues immediately after site updates—eliminating the need for manual QA and reducing downtime.
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








