Baseball metrics, known as Sabermetrics, can be a powerful tool for sales teams. Like sales, the probability of achieving different stages is core to these strategies. In baseball, a player is 1000% more likely to get to the first stage then the final stage.
Similarly, the stages of deals can be more precisely measured. Today, many sales teams rely on CRM probabilities, which are not recalculated based on actuals, but simplistically assigned to deals.
In contrast, OnCorps can apply machine learning algorithms to deals by rapidly converting historic CRM data to decision trees.
Decision trees help us guide decision makers to the highest odds decisions. Each branch and leaf records the frequency of a decision made and the probability of an outcome being achieved.
To improve engagement and drive behavior change, OnCorps can setup a simple deal prediction game. These methods are based on the groundbreaking research of Philip Tetlock at the University of Pennsylvania.
As sales people play the game, they are ranked in predicitve accuracy. More critically, they can see the best practices of better predictors.