Sales Engagement vendor SalesLoft announced Deal Engagement scores, a “machine-learning capability [that] gives frontline managers an unbiased way to prioritize deals based on the calculation of over 30 data elements captured across Cadence, Conversations, and Deals.”

Instead of a black-boxed score, SalesLoft provides recommendations and an explanation of the score, helping sales managers identify opportunity issues and risks and take actions to improve close rates.  Thus, Deal Engagement Scores serve as early warning signs that deals may be going south, allowing them to take proactive actions that improve close rates.

Deal Engagement Scores are shown over time and include a set of stage progression indicators such as days since the last meeting, days until the next meeting, and close date pushes.  A seven-day summary details recent engagement activity and deal progression.

“It’s not enough to have just a Cadence product,” said Frank Dale, SalesLoft’s SVP of Product Development. “With Cadence, Conversations, and Deals on one platform, we collect data across the full buying cycle, from the first email, every call, meeting, and communication, through to deal closure and renewal.  Only SalesLoft can analyze all of this data to predict revenue outcomes.  No other Sales Engagement provider can offer this.”

35 data elements are fed into their machine-learning model to prioritize and identify opportunity issues and risks. Engagement is measured across emails, phone calls, and meetings, with interactions measured by level.  Over 120 million customer interactions were fed into the machine-learning model. As a machine-learning capability, the model continues to improve and adapt. 

“Having this capability allows front-line sales managers an instant gut check on specific health for deals in flight,” posted CEO Kyle Porter on LinkedIn.

Deal Engagement Scores are available to early access customers with Deals functionality in the Enterprise and Sell plans.  It will GA by June.