PALO ALTO, Calif.--(BUSINESS WIRE)--Infer Inc., a leading provider of predictive applications that help companies win more customers, today announced a new offering, which generates net-new leads for sales and marketing teams. By partnering with top data providers such as InsideView, and using personalized predictive models to identify a company’s best-fit leads, Infer provides a list of the new accounts that are most likely to buy its products. Infer’s Net-New Leads solution saves businesses time and money by pushing only the very top pre-qualified contacts into their Salesforce databases.
“We’re excited to add Infer’s Net-New scoring to our predictive marketing capabilities,” said Scott Broomfield, CMO at Xactly. “Instead of purchasing tens of thousands of leads and manually slugging through them, Infer helps us programmatically evaluate list quality upfront and only pay for the best leads. Not only will this save us time and energy, it will also assure that our sales team can focus on the right prospects.”
While some companies are fortunate to have a steady stream of inbound leads, others depend on outbound sales and targeted marketing to drive growth. As opposed to the traditional approach of buying large lists of questionable leads and hoping to find a few good prospects, Infer’s Net-New Leads offering provides sales teams with a new source of high quality leads. Because Infer’s predictive models do the work of identifying and importing just the accounts and contacts most likely to convert, marketing teams avoid wasting budget on poor lists, and sales reps spend less time working bad leads.
“Infer’s Net-New Leads solution creates a unique opportunity for sales teams looking to source new pipeline, and we’re excited to be one of the premier partners,” said Heidi Tucker, vice president of global alliances at InsideView. “The power of InsideView’s market intelligence platform coupled with Infer’s predictive scoring empowers sales teams to look beyond their current database and quickly identify, prioritize and build lists of A-leads to drive results.”
Companies have often used their standard Infer models to score lead lists on their own, but starting today they can also purchase net-new leads from Infer directly and pay only for the best accounts. Infer’s Net-New Leads solution works with any data provider and leverages specialized models tailored to score cold contacts across any lead criteria. In addition, customers can continue leveraging Infer’s predictive models to evaluate new data providers for different industries, segments or geographies.
“As our customers experience the huge value of predictive scoring for inbound leads, it’s a natural extension for them to use Infer to inform their outbound sales and marketing efforts as well,” said Vik Singh, co-founder and CEO of Infer. “Most list buys get a bad rap because they’re expensive and require you to sift through tens of thousands of cold leads – often making your reps waste time on outreach and research just to find out that the majority of the leads are duds. With our Net-New Leads solution, however, we’re short circuiting that process by helping marketers and sales teams identify their pocket of high quality new targets immediately.”
Infer builds statistically accurate fit and behavior models that analyze key signals – such as a company’s business model, technology vendors, relevant job postings, public filings, social presence, website activities, marketing automation data, product usage data, and other attributes – to produce Infer account, contact and lead scores, which are fed directly into a client’s CRM system.
Founded in 2010, Infer delivers predictive business applications that help companies win more customers. It leverages proven data science to rapidly model the untapped data sitting in enterprises, along with thousands of external signals from the web. Customers include several large businesses and numerous high growth companies like AdRoll, Cloudera, Concur, New Relic, Nitro, Tableau, Xactly and Zendesk. Headquartered in Palo Alto, California, Infer is funded by leading investors, including Redpoint Ventures, Andreessen Horowitz, Social+Capital Partnership, Sutter Hill Ventures and Nexus Venture Partners.
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