MRP, a global predictive intelligence and customer acquisition company, will present case studies on its predictive analytics and account-based marketing services and how they help B2B companies align their sales and marketing approaches into one specific strategy at the SiriusDecisions 2017 Technology Exchange on October 31 in Austin, Texas.

“We are looking forward to partnering with SiriusDecisions to speak directly to and share our insights with B2B companies about enhancing their marketing and sales approach,” said Lauren Clancy, MRP director of marketing. “Our latest Prelytix upgrade improves the real-time intelligence accessible to our clients and allows them to optimize their marketing outreach with a significant ROI.”

MRP client Digital River will present how using predictive analytics and account-based marketing can take marketing strategy from broad to specific. Mike Thyne, senior director for Digital River, will discuss how MRP Prelytix allowed the company to transition from broad-based demand generation to a highly targeted and effective sales and marketing approach that combines predictive analytics and account-based marketing.

“Digital River had embraced the concept of predictive analytics technology when it was fairly new and unproven, so we were eager to work with MRP to test the strategy first hand,” said Thyne. “Predictive has given Digital River the ability to focus on accounts that are most likely to buy and to deploy customized tactics to each account.”

Additionally, MRP will host a lunch and learn at the conference to discuss how operationalizing predictive analytics across an organization can generate impressive results. MRP marketing and sales executives will talk about what they learned from employing MRP’s own services on their marketing and sales efforts.

MRP is a proud sponsor of the 2017 SiriusDecisions Technology Exchange, a three-day B2B conference that focuses on how technology can and should be implemented in sales, marketing and product organizations to enhance alignment and develop optimized technology stacks.