MENLO PARK, Calif., Jan. 15, 2014 /PRNewswire/ -- B2B predictive lead targeting pioneer Leadspace, Inc. today launched its new targeting feature that helps B2B marketers and sales teams more accurately target companies that are most likely to purchase. The new capability is included as part of the latest version of Leadspace's SaaS predictive lead targeting platform, available today for all users.
By mining the web for targeted social indicators—such as products and technologies already being used in the company—Leadspace's predictive lead targeting system filters, segments and scores prospective companies based on their purchase likelihood. As a result, B2B marketers and inside sales teams can more accurately identify the companies, and ultimately the individuals within them, who are most valuable to maximize lead-gen ROI.
"Predictive lead targeting enables you to tap into the social conversations going on among individuals within your targeted companies, including job listings, news and more," said Leadspace co-founder and VP Products Amnon Mishor. "Based on your Ideal Customer Profile, our automated scoring algorithm identifies the specific organizations that are likely the most open to hearing about your solution, thereby significantly increasing conversions."
Leadspace sets a new bar for B2B lead data quality by tapping into social networks and paid contact databases on-demand and identifying super-targeted leads based on myriad social buying indicators. The Leadspace predictive lead targeting SaaS solution addresses the full lead data needs of modern marketers – from lead lists to ranking and enhancement of web leads and sales prospecting. Founded in 2007 by experts in web mining and semantic analysis, the company received funding from top-tier venture capital firms, including Battery Ventures, JVP and Vertex. Leadspace has offices in the U.S. and in Israel. Learn more at http://www.leadspace.com.
Original Release: PR Newswire
Image: Courtesy Leadspace