How Does it Improve Over Time?

Smarter with Every Interaction

Proclivity is an advanced, self-learning, closed-loop system. It automatically integrates and adjusts to individual consumer response behavior, as well as other behavior continuously exhibited during the course of day-to-day Internet visits. Proclivity also picks up on natural market macrotrends, such as seasonal sales cycles, holidays and other important consumer events. Proclivity’s adaptive architecture also allows it to rapidly learn, within a matter of hours, the nuanced predictive shopping behaviors and purchasing preferences of your customers. Not only does it learn these consumer behaviors, it also understands them in relation to your own merchandise, at your price points, and at the particular merchandising strategy existent within your website. Even if your business is comprised of individual web properties, Proclivity becomes specifically attuned to those lines of business based on distinctive store dynamics.

But you don’t have to wait for Proclivity to catch up with your customers. Often, clients have years’ worth of backlogged data waiting to be evaluated. Proclivity eliminates the “cold start” sometimes associated with data integration and mining by factoring in historical information that contains immensely valuable predictive behavioral data points. Your emergent Proclivity consumer behavior bank is informed by the past but relevant to the present – and to the future.