Trained on millions of data points, Q “reads between the lines” to figure out where your prospect stands and guides you through the best next actions to take to win the deal.
Substrata Q utilizes large-scale training datasets of tens of millions of data points to provide insights into real-world sales conversations.
With Q, you can gain access to your prospects’ attitudes, sentiments, and perceptions to better understand how you are perceived and make informed decisions that drive sales success.
Understand pragmatic sentiment, co-assessments of competence, authority, and perceived value. Identify overlooked patterns that can make or break deals.
By analyzing your performance in detail, you’ll be able to identify areas for improvement and understand what’s working well, so you can fine-tune your approach and increase your win rate.
Substrata Q detects subtle social signals to infer true meaning, intentions, sentiments and how hot/cold a prospect really is–beyond the face-value of the words being used.
In sales, every little mistake can cost a fortune. Simulate your next move to see whether you convey the right signals to push the deal forward. Reiterate until you get it right.
Know where you stand. Understand the power balance between you and your prospect at any given point. Convey the right level of competence and authority to push any
In Sales, every little mistake can cost a fortune. Test the impact of your draft to see if you’re pushing the deal forward or making costly mistakes. Reiterate until you get it right.
Enjoy Substrata’s Patent-Pending Pragmatic Intelligence Engine through our API.
Hierarchies. Group Dynamics. Introducing SubStrata's Social Signal Processing Technology
Social Signal Processing (SSP) is an exciting new field spanning computer science, social science and behavioral psychology using deep models trained on massive amounts of multimodal data to make sense of our nonverbal communication patterns:
An innovative method of analyzing interaction data to uncover the underlying hierarchical structure in small-groups (in-group, cross-group).