SOURCE: Versium


October 21, 2013 09:00 ET

Leveraging Its LifeData Platform Versium Launches Suite of Predictive Scores Providing Enterprises With Actionable and Easy to Access Data Intelligence

Now Organizations of All Sizes Can Act on Single Pieces of Data Analytics (Scores) About Specific Customers, Without Having to Worry About the Complex Associations of Data and Scientific Equations

REDMOND, WA--(Marketwired - Oct 21, 2013) - Versium (, a data technology company that operates a LifeData™ predictive analytics scoring engine, announced today the availability of its suite of Predictive Scores, enabling organizations to better engage with their customers and make smarter marketing decisions. Versium's Predictive Scores are the outcome of powerful matching algorithms that enable predictive models to utilize a company's enterprise data in combination with Versium's unique LifeData. Deriving meaningful intelligence from complex assortments of data can be very challenging. Predictive Scores address this challenge. A predictive score is very similar to a credit score, but tailored to address specific business needs and objectives.

"Our customers love the concept of predictive scores -- they are accurate, easy to access and you don't have to be a data scientist to interpret them. Enterprises don't want another complex platform that requires support and training -- they just want the answers to the questions that deliver ROI benefit and that's exactly what a predictive score does. When it comes down to it, the numbers don't lie," said Chris Matty, Versium CEO. "Being armed with this level of actionable intelligence provides companies with specific data to better maximize profits, mitigate risks and optimize consumer targeting, a significant competitive advantage."

How it Works
The proprietary LifeData platform is a compilation of information created by individuals as they interact in the real world, which companies typically have been unable to capture until now. Versium's analytics platform combines a company's proprietary enterprise data with LifeData to provide richer insights into behavior, and enable more accurate statistical and predictive models. The system outputs various predictive scores (similar to a credit score, but for marketing purposes) based on a desired business case and underlying ROI objective. LifeData insights and predictive scores can be accessed via real-time API query, or batch process, so that these insights can be built into existing enterprise applications (i.e. CRM solutions and marketing automation tools) to enable rapid access and use without the need for platform deployment and support.

Versium's suite of Predictive Scores include:

  • Fraud Score: Versium's LifeData and patent pending identity validation technologies are predicting fraud more accurately than with traditional methods.

  • Churn Score: Identify which customers are most likely to cancel memberships.

  • Shopper Score: Identify full price buyers versus discount shoppers, and gain insights into which customers or prospects will respond to specific offers.

  • Social Influencer Score: Optimize social campaigns and recognize which customers or prospects are the most socially influential.

  • Fan Score: Understand which customers are of the greatest value to an organization.

  • Other scores in development include: Wealth Score, Donor Score and Green Score.

Versium also creates custom scores to address unique business needs. To learn more about Versium, go to

About Versium
Versium ( is a data technology company that operates a LifeData™ predictive analytics scoring engine. These technologies enable organizations to be more data-driven by powering and creating solutions that help optimize consumer engagement, improve marketing efficiencies and better understand, retain and find new customers. Versium brings together disparate sets of observational data, comprised of over 300 billion real-life attributes and combines these insights with an organization's existing enterprise data to provide a richer, more actionable profile of each individual consumer and more intelligent analytic models. For more information, please visit or follow us on Twitter @versiumsocial.

Contact Information

    Minou Reisinger
    Illuminate Public Relations for Versium
    Email Contact