AI
Predict.
Use Non-Verbal and EQ Intent combined with operational data like usage telemetry and health to improve your predictions 50%.
What we Do
You’re missing Intent in your Predictions
How much better could your predictions be if you infused in Emotional Intelligence and Non-Verbal Intent from your online meetings? Quite a bit!
Emotionally Intelligent Intent [EQI] - from Conversations
Operational Data - ACV, Health
Usage Telemetry - Seat Usage, Consumption
Confusion matrix
Once a model is created based on actual data, the Machine Learning runs a subset of the same data against the model to test for accuracy, F1 Score and Recall. It’s the only way to ensure the model works!
Machine learning
Techniques such as Support Vector Machines (SVM) and Radial Basis Function (RBF) are foundational ML Models that are extended with data in your organization. These algorithms are tuned to find patterns in data and determine outcomes.
Polynomial regression analysis
Continuously projecting data over time to determine how its trending shows tell tale signs of customer fatigue or expression. Is Adoption on the rise but Intent decreasing? Not a false positive but an indicator.
organized by intent
Top prospects and customers and how they got to where they are now. Mathematical expression shown statistically tells a story.
Predict.
ML Models that demystify patterns in historic churn or expansion.
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Eliminate unexpected churn
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Expand happy customers early
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Idenfity improvement from your Customer Success Team
AI
Emotionally Intelligent
Intent (EQI)
The Emotional Quotient (EQ) of your team can now be understood and improved exponentionally with AI. This is referred to as first party data because it is shared by the customer or prospect through conversations.
First Party Intent Data
Goleman's Emotional Intelligence
Plutchik's wheel of emotion
