Case Study: CallTrackingMetrics achieves >90% transcription accuracy, richer insights, and cost savings with Deepgram

A Deepgram Case Study

Preview of the CallTrackingMetrics Case Study

Deepgram creates increased insights for CallTrackingMetrics customers

CallTrackingMetrics, an all‑in‑one call tracking and contact center software provider, faced a critical ASR problem: roughly 40% of call transcriptions were too inaccurate to yield reliable analytics or support agent coaching. To address the need for a highly accurate, cost‑effective speech solution for both marketing attribution and contact center automation, CallTrackingMetrics evaluated vendors and selected Deepgram’s AI Speech Platform.

Deepgram deployed its end‑to‑end AI speech platform, boosting transcription accuracy to over 90% and increasing processing speed. The higher‑quality transcripts unlocked richer marketing and call‑center insights, improved agent training, and generated material cost savings that CallTrackingMetrics was able to pass on to customers—delivering better analytics and lower overall ASR costs.


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CallTrackingMetrics

Todd Fisher

Founder


Deepgram

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