When Trackingplan detects an anomaly, its AI debugging engine analyzes the affected events, properties, and context to automatically pinpoint the root cause. Instead of a generic alert, you get a structured diagnosis: a plain-language summary of the issue, the most likely root cause hypothesis, recommended actions to fix it, and the conditions under which it occurs - with sample hits to reproduce the problem.
What makes this especially powerful is the Potential Impact analysis. Rather than framing issues as purely technical, Trackingplan estimates the business consequences of leaving them unresolved - such as the effect on ROAS, conversion tracking, campaign attribution, or data reliability. This makes it significantly easier to prioritize fixes and communicate their value to stakeholders, clients, or leadership.
