Latest Release of Social Lead Targeting Solution Helps B2B Marketers
Precisely Target Ideal Prospects Inside and Outside their Marketing
Databases
Menlo Park, Calif. (April 24, 2013)-Leadspace, Inc. today announced the
release of a major update of its SaaS B2B social lead targeting solution
designed to help B2B marketers achieve conversion rates higher than industry
average through precise lead targeting. The new Leadspace is the first of
its kind to automatically model Ideal Buyer Profiles using Big Data from the
social web and give marketers the ability to generate on-demand targeted
lead lists tuned for the Ideal Buyer Profile.
Automated Ideal Buyer Profile Modeling Delivers Precisely Targeted Leads
Leadspace eliminates the guesswork in identifying new prospects with the
industry’s first automated solution to create, analyze and optimize an Ideal
Buyer Profile. By analyzing the online presence of existing customers from
sources like social network postings, blogs, websites and other online
activities, Leadspace creates a model of the Ideal Buyer Profile. Using this
model, Leadspace helps B2B marketers and sales teams accurately identify
more valuable prospects by scouring public and paid databases, the social
web and existing lead databases for these same characteristics in new leads
that fit the profile.
“Most of our leads were generated through marketing and partner referrals,
and we wanted to dramatically increase the outbound pipeline generated by
Sales and Sales Development by doing outbound prospecting and lead
generation,” said Kevin Akeroyd, SVP Field Operations at gamification leader
Badgeville. “We launched Leadspace almost a year ago, and our Sales and
Sales Development-driven pipeline has since increased by over 400 percent.”
Common View of Ideal Buyer Knocks Down Walls Between Marketing and Sales
Once the Ideal Buyer Profile is identified, Leadspace now enables marketers
to continuously update and tweak the profile through its online interface,
which suggests optimizations, such as targeting a new job function or
technology, to fine-tune the targeting process in real time based on solid
data. Prior to Leadspace, this process had been extremely subjective, with
marketers relying on intuition and feedback from sales to make adjustments.
This scientific, always up-to-date definition of the Ideal Buyer ensures
alignment between marketing and sales teams to improve efficiencies
throughout the funnel.
“Establishing a clear and accurate Ideal Buyer Profile is critical, but
sales and marketing often have a hard time agreeing on exactly who their
ideal buyer is, creating inefficiencies in both the customer acquisition
process and marketing spend,” said Leadspace co-founder and VP Products
Amnon Mishor. “Leadspace gives marketing and sales unprecedented insight
into exactly who they need to target, based on specific, known data to
eliminate the confusion and guesswork.”
On-demand Generation of Lead Lists to Match the Ideal Buyer Profile
Leadspace also now enables marketers to create hyper-targeted prospect lists
to maximize the ROI of any marketing or sales campaign. Unlike traditional
lead lists and online databases, Leadspace discovers only the most relevant
prospects based on how closely their online presence matches the Ideal Buyer
Profile. Through data gathering and matching in real-time, Leadspace also
eliminates out-of-date contact details that waste precious marketing time
and money.
In addition to new product enhancements for marketers, the new Leadspace
release also offers an updated user-interface and more accurate prospect
ranking to improve sales efficiency and targeting precision.
The Leadspace SaaS social lead targeting solution is already trusted by some
of the most recognized B2B brands in the world, like SAS, Eloqua, Marketo,
Jive, Badgeville and others to increase sales and marketing ROI and optimize
both outbound and inbound lead generation.
To learn how Leadspace can optimize the B2B sales and marketing funnel,
visit www.leadspace.com/schedule-demo to request a live demo.
About Leadspace
Leadspace is the first solution to help sales and marketing teams find new
sales prospects and enrich and rank leads based not only on job titles, but
also on what they do, and how closely the prospects resemble the people they
have already successfully sold to. 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.
