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Call Intelligence

It all begins with a phone call. Call Intelligence is the process of capturing, analyzing, and acting on data from phone calls. Call Intelligence is the foundation of Call Tracking, Call Analytics, and Call Attribution.

The analytics and insights come from fine-grained data about the phone calls themselves. This data is captured by Call Tracking software and stored in a database. The data is then analyzed to provide insights into the performance of marketing campaigns, sales teams, and customer service.

CallStudio aims to maximise the range of fine-grained data that can be captured from phone calls using AI and ML. We fine-tune our models to different analytics tasks on different languages and dialects.

Supported measures

In the following table you can see an overview of the measures and whether they can be performed on in real-time or post-call.

MeasureDescriptionReal-timePost-callPer-role
Call durationDuration of the call
Sentiment ScoreScore sentiment between 0 and 1
Sentiment LabelEither positive, neutral, or negative
EmotionAngry, happy, or neutral
Text summaryA full summary of the text
TopicsTopics discussed in the conversation
Issue typeThe issue type of the call (e.g., billing)
Resolution statusThe resolution status of the call (i.e., resolved, unresolved, unknown)
Interruption durationDuration or % of interruptions in the call
Agent/Client talking ratioRatio of agent/client talk time in the call
Silence durationDuration or % of silence in the call
Talk durationDuration or % of talk in the call
Words / secondAverage number of words per second in the call indicating talking speed
LanguageThe language of the call
Empathy scoreScore empathy between 0 and 1
Loyalty indicatorsPhrases indicating loyalty (e.g., "I will be back")
TranscriptA full transcript of the call

Choosing the right measures

The more measures you include, the more likely to get a better understanding of your calls. However, you should be aware that some measures are more computationally expensive than others. For example, text summarization is more expensive than sentiment analysis. Therefore, you should choose the measures that are most important to you and your business. Many of these tasks include usage of LLMs that are computationally demanding. Hence, you must evaluate the trade-off between the number of measures and the latency of the system & cost. The range of measures can be adjusted at any time and so the decision is not final.

Custom measures

Our models are trained on a large dataset of phone calls. However, you might want to train your own models on your own and extend the range of measures that can be performed on your calls. CallStudio can be easily modified to suit your analytics needs. This is quite common as sometimes the models are introduced to new languages or dialects or special conditions.