SalesPredict’s underlying technology combines machine learning and natural language processing with predictive analytics. The platform continuously analyzes your sales win/loss data and correlates it with demographic, firmographic, and behavioral data from your CRM, marketing automation system, external data sources, and the open web to uncover significant patterns and hidden buying signals. It then applies predictive analytics to accurately score your leads and accounts to show you who’s ready to buy, who may buy more, and who is likely to churn.
To apply predictive analytics, you can either hire an army of data scientists or use sophisticated technology. We incorporate the most advanced, dynamic algorithms that do the work for you. Dr. Kira Radinsky, a world-renowned data scientist, co-founded SalesPredict and leads our research team.
SalesPredict, the leader in Customer Lifecycle Intelligence solutions, and HG Data, the global leader in competitive intelligence on installed technologies, announced a new data partnership. Under the agreement, SalesPredict’s predictive scoring algorithm will now leverage HG Data’s install datasets so SalesPredict customers can target inbound and outbound marketing efforts more effectively and gain deeper insight into the micro-segments where they are most successful selling.
Using predictive analytics + a company’s internal CRM and marketing automation system data + the open web and outside data sources, SalesPredict provides predictive scores and insights to help B2B companies effectively target their marketing efforts, deliver more qualified leads, increase conversions, accelerate sales cycles, and retain more customers.
“Our goal is to deliver the most accurate predictive lead and account scores, along with deep data insights, to help our customers find, convert, and retain more customers,” said SalesPredict co-founder and CEO, Yaron Zakai-Or. “HG Data provides valuable information about the installed technology landscape and we are excited to be able to share that data with our customers to help them market and sell more effectively.”
HG Data currently tracks more than 1,700 technology vendors and more than 5,000 technology products in its proprietary datasets, including SaaS, cloud, security, networking, storage, open source, applications, mobile, big data, CRM, virtualization, visualization and analytics. Dozens of new technologies are added monthly.
“We’ve been impressed with SalesPredict’s solution being applied across multiple customer-facing departments within B2B companies in a variety of industries,” said Mark Godley, CRO of HG Data. “Our extensive dataset combined with SalesPredict’s powerful predictive analytics capabilities make our partnership a smart collaboration that should yield tangible benefits.”
About HG Data
HG Data is the global leader in competitive intelligence for installed technologies. The world’s largest technology companies, the fastest-growing start-ups, and some of the most innovative OEM partners achieve an unfair advantage by using HG Data in building market analysis, competitive displacement, predictive modeling, marketing campaigns, and client retention initiatives. Every day, HG Data indexes more than one billion unstructured documents across the open Internet, the archived Web and offline resources to produce a detailed, accurate census of B2B technology installations in use at companies globally. Indexed resources include content such as social media, case studies, press releases, blog postings, government documents, content libraries, technical support forums, website source code, and job postings. Founded in 2010, the company is based in Santa Barbara. For more information, see http://www.hgdata.com.
About SalesPredict
Who is most likely to buy, who will buy more and who will churn? SalesPredict can tell you. Founded in early 2012, SalesPredict helps companies increase revenues by identifying who their best potential prospects really are and providing information and purchase signal insights that accelerate sales cycles and improve conversion rates. How? Predictive analytics. The company is headquartered in San Francisco with engineering located in the technology hub around Tel Aviv. Learn more about SalesPredict at www.salespredict.com and follow @SalesPredict on Twitter.