Customer Support: Closing the Gap Between Call Volume and Resolution Speed

The Documented Problem

Modern contact center benchmarking research is fairly consistent on what “good” looks like: first-contact resolution above roughly 70%, CSAT scores above roughly 75%, and average handle times in the 7-10 minute range for a well-run team. (Source: Plivo, 2025 contact center benchmarks report.) E-commerce-sector support specifically has been measured at an average first-call resolution rate around 75%, while technology-sector centers maintain average service levels - the share of calls answered within a target window - around 79%. (Source: Sprinklr, 2025 call center statistics report.)

The cost of missing these benchmarks isn’t abstract. Research cited by call-quality analysts found that a large majority of customers - cited at 77% in one frequently-referenced ICMI study - report feeling dissatisfied when a call drops or disconnects unexpectedly, a common outcome of an overloaded queue. (Source: ICMI research, as cited by Sobot, 2025.) Call transfer rates are another quiet cost center: the industry standard sits around 19%, but a materially stronger benchmark - closer to 15% or below - correlates with meaningfully higher first-contact resolution, because fewer transfers usually means fewer repeated explanations from the customer. (Source: Plivo / SQM Group benchmarking data, 2025.)

The Anturon Approach

Anturon’s support deployment is built around resolving what can genuinely be resolved on the first contact - account questions, order status, common troubleshooting - while recognizing, deliberately, what it shouldn’t attempt. Complex or sensitive issues get a structured, complete handoff to a human agent with the full conversation already captured, which is the direct answer to the transfer-rate problem above: the customer doesn’t repeat themselves, and the agent isn’t starting from zero.

What This Is Designed to Achieve