Datahug has announced the Datahug Sales Closer, a virtual sales assistant integrated into CRM systems that gives salespeople the proven path to close a deal. For the first time, sales teams have real-time Deal Scores that deliver objective visibility into where deals stand, combined with machine learning Next Best Actions that accelerate deals through the pipeline.
"Sales teams are under enormous pressure to perform at scale, as modern marketing techniques produce an abundance of qualified leads," said Ray Smith, CEO of Datahug. "But yet win rates continue to fall. The deluge of leads often makes teams less efficient and effective. But by transforming CRM into a system that works for salespeople through predictive guidance, sales teams gain focus and master the art of closing the right deals at the right time."
Unlike sales tools that blast out emails in an attempt to sell through brute force, the Datahug Sales Closer helps sales professionals prioritize and improve win rates 21% on average by utilizing machine-learning insights of customer interactions. Compared to other sales analytics tools that are based on incomplete and subjective CRM data with a rear-view mirror perspective, Datahug's real-time Deal Scores leverage automatic data capture and a unique analysis of customer communication data -- the most important and reliable factor in evaluating a deal.
The Datahug Sales Closer includes:
Next Best Actions - Within their CRM system or via email, salespeople receive recommendations for the most effective next action for each of their deals, such as prompts to secure a meeting, guidance to tap other influencers critical to the sale, or reminders to follow-up with a recently-developed lead.
Real-time Deal Scores - Sales teams view objective up-to-date Deal Scores, which are based on the predictive analysis of customer communication, salesperson activity and company-specific sales patterns. Deal scores are immediately available within Salesforce CRM and Microsoft Dynamics CRM.
Machine-learning Analysis - Datahug Sales Closer uses machine-learning intelligence that optimizes the insights based on historical patterns. Datahug uniquely measures both salesperson activity and customer communication data and then analyzes the type and frequency of actions that result in the best win rate for individual companies.