Conversation Intelligence

Automatic Qualification for Inbound Phone Leads

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CallRail’s conversation intelligence technology makes it easy to qualify phone leads, letting you focus on what’s really converting. Using machine learning, call metadata, and transcriptions, CallRail’s powerful conversation analytics takes the guesswork out of qualifying leads. Spend less time manually scoring your calls and understand the quality of a call without even having to listen to a recording.


CallScore takes your call data to the next level. Users have the ability to choose the type of calls they want classified and keywords specific to their industry, allowing CallRail to automatically mark a call as a Good Lead upon its completion. Once the callers that have converted have been recognized, the CallScore feature will populate them as a percentage of total callers in CallRail’s Lead Funnel Report.


CallScore works in real time, meaning you’ll know if a lead is good within minutes. You’ll also be able to view lead scores in your call alert emails, plus you’ll have the option to only send good leads to third-party integrations.

Learn more about the benefits CallScore


CallScribe gives you the ability to read your conversations from the call details page for calls made to a tracking phone number. Transcriptions are split up between caller and agent, so you know which text represents each person in the conversation. You are also able to click on a specific part of the transcript to snap to that point in the recording and select specific criteria on which calls to transcribe.

CallScribe arms you with meaningful, quick context about a phone call conversation. Quickly scan your call transcriptions for relevant information about the caller’s intent, and you’ll be able to view them within your email alerts.


Learn more about the benefits CallScribe

Recognize high-quality sales leads and shorten your response time with Conversation Intelligence.

Still have questions about CallRail’s Conversation Intelligence? Contact our sales team today.