Our predictive engine analyzes two years of your deal data to discover patterns, trends, and insights you can't get from a CRM or BI system. We tailor and deliver this data to reps, managers, and execs so they know the actions will close deals faster.
We build a relationship graph of the players at your prospect’s company.
We surface all connections automatically so sales reps know their best contact and existing connections they can leverage.
Advanced data classification and clustering help us take past deal data and use it to score the likelihood of a deal closing as a win or loss.
We track all sales rep events — emails exchanges, meetings, and files sent — across both Microsoft Exchange and Gmail environments.
You'll know how actively reps are working deals and, more important, whether prospects are engaged or checked out.
A Markov model is a way to forecast the future in the face of changing or seemingly random events — like in Sales!
Our Markov models look at the full lifecycle of past deals — from "prospecting" to "closed" — to find patterns and forecast with uncanny accuracy whether a new deal will be a win.
We look at a rep's past success with pipeline deals to predict what they'll close this quarter. We'll show if their forecast is on track or wildly optimistic.