See how Call Analytics turns conversation data into insights that help businesses optimize agent performance, spot trends, and improve service quality.
Call Analytics refers to the process of capturing, analyzing, and visualizing key data from voice conversations, whether those calls are handled by humans, AI voice agents, or a combination of both. It provides insight into what’s happening on your phone lines: who’s calling, why they’re calling, how the conversation flows, and what the outcomes are.
In AI-powered systems, call analytics goes a step further. It can automatically classify intent, measure sentiment, detect issues, and even surface coaching opportunities—without requiring anyone to manually review calls.
For B2B companies handling high volumes of phone interactions, call analytics turns conversation data into operational intelligence.
Done well, using call analytics and post call analysis helps teams:
A SaaS company reviews 1,000 AI-handled support calls and sees a spike in calls categorized under “billing confusion.” Using this data, the team updates pricing page FAQs, refines agent scripts, and proactively emails customers, reducing those call types by 30% in a week.
Call analytics is an essential growth tool. When tied into AI voice workflows, it enables faster iteration, more accurate targeting, and smarter automation strategies.
Explore Retell's sophisticated call analytics capabilities and how to navigate them in our guide to tracking and measuring AI voice agent performance.
Watch our video guide on Retell's advanced analytics suite learn about what cutting edge AI analytic tools look like: https://youtu.be/HWrr0Z8c5pw?si=9Zi7-FEgcm-zeM_K
Revolutionize your call operation with Retell.
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