I like the speed that Mintigo gives me to model successes along the funnel and operationalize those. For example, we built our initial model within 24 hours based on successes for a certain segment of our business. That's the same model we're using today with very accurate results.
I also have the ability to identify my ideal target accounts and export companies I don't have to target those.
One afternoon I was wondering if the set of target account identified by our sales team fit our historical success. I simply ran those target accounts through the account-based fit model and quickly had talking points to discuss changing why 26% didn't fit.
Mintigo also has supported and helped us along the way. With every step, they've helped us to succeed.
Don't just look at predictive as a lead scoring mechanism, but you need to determine use cases across the organization for better usage. I think that lead scoring is just the toe hold in an organization whereas predictive is about modeling your business to gain a competitive advantage by directing your resources to areas where you're finding more success.
Lead Scoring, first and foremost, but we're dabbling in target account identification by territory and validation of previously-selected target accounts.