KXEN Predictive Offers on Salesforce.com – Real-Time Next Best Activity
Customers can instantly personalize conversations with real-time "next best activity". KXEN engine automatically finds next best activity using advanced machine learning.
San Francisco, CA, Mar 14, 2013.
KXEN, the leading provider of predictive analytics for business users, today announced the launch of Predictive Offers™ on salesforce.com's AppExchange, empowering businesses to connect with customers, partners and employees in entirely new ways. Now, predictive analytics, which traditionally has only been available on-premise to large B2C companies with dedicated teams of data scientists, is available to salesforce.com customers of all sizes. Predictive Offers™ takes all the rich CRM and social profile data residing in Salesforce to deliver personalized offer recommendations.
In contrast to rule-based offer systems which are complicated to setup and maintain and often are based on intuition or outdated analysis, a predictive model-based next best activity solution learns by itself, analyzing all available information to create a mathematically optimal score.
Built on the Salesforce Platform, the world's leading cloud platform for social and mobile business apps, Predictive Offers is currently available on the AppExchange.
With KXEN's cloud-based Predictive Offers™, there is no complicated setup, no need to manually define what makes a good offer and no prior analytical knowledge required. Salesforce users simply install the application, add an offer, and the solution instantly starts learning. Offer models are uniquely built for each Salesforce customer, automatically, using both native and custom fields.
KXEN has a long history of delivering value in large organizations. As observed in a recent report by Aberdeen, KXEN customers are 40-50% more likely to be able to design customized offers for market segments and individuals than their peers.* With the introduction of Predictive Offers™, customers gain instant access to the same sophisticated predictive engine used by some of the world's largest banks, telecommunications providers, retailers and e-businesses.