Case Study: Revenue.io achieves more accurate sales conversation analysis with Deepgram tailored speech models

A Deepgram Case Study

Preview of the Revenue.io Case Study

Revenue.io boosts sales analysis with Deepgram's customized speech models

Revenue.io, a revenue operations software provider, faced a challenge when analyzing sales conversations across various industries. Their existing one-size-fits-all speech-to-text solutions could not accurately transcribe critical, industry-specific terminology and proper nouns like product names. This lack of accuracy on important words prevented them from generating the high-quality data needed for effective analysis, as general word error rate was less important than the precision of key terms.

The vendor Deepgram provided a solution with its tailored speech models. By training a customized model using sample audio, Deepgram dramatically improved transcription accuracy for crucial words without requiring significant resources from Revenue.io. This enabled superior sales analysis, allowing the customer to better understand team performance and provide more effective real-time guidance to their clients.


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Revenue.io

Scott Hoch

Head of Data


Deepgram

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