Customer Intent is defined as how enthusiastic a customer is towards pursuing the action you want them to take. These actions could involve replying to an email, buying your product or service or expanding the number of users after the initial purchase. Customers rarely, if ever, reveal intent in an outspoken manner which means that most sellers fail to spot true intent. The other obstacle with intent is that sellers sometimes mistake words customers say to reveal intent, which in turn biases their understanding of deal health. This leads to the wrong deals added to commits while deals that are truly trending to a close at a rapid rate, tend to be missed. The best way to spot customer intent and prioritize deals with intent is to apply Natural Language Processing and Deep Learning Models to your sales calls in order to extract emotion and sentiment insights and thereby, reveal hidden intent.