Escalation Rate measures the percentage of support tickets that cannot be resolved at the first support tier and must be escalated to a higher-tier specialist, engineering team, or executive. High escalation rates indicate that frontline support lacks the knowledge, tools, or authority to resolve common issues and that product or training investments may be needed. Escalations are costlier and slower than first-tier resolution.
Track escalation rate separately by escalation type (T2 specialist, engineering, executive) and by issue category to identify the most impactful areas for improvement.
Best-practice escalation rates for B2B SaaS are below 10%–15%; above 25% typically signals systematic knowledge or product quality gaps.
Each function reads Escalation Rate through a different lens and takes different actions when it changes.
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Metrics that are commonly analyzed alongside Escalation Rate.
See how each role uses Escalation Rate in context with the full set of metrics they own.
askotter connects your data sources and applies causal analysis to tell you exactly why your metrics are changing, not just that they changed.
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