Datanyze, the pioneering sales intelligence platform, today unveiled Predict, a SaaS-based predictive lead scoring model that helps B2B sales and marketing teams prioritize their existing leads and identify new leads to pursue that weren’t in the CRM.
“Analytics holds the potential to create quantum leaps in sales and marketing performance,” according to Gerry Murray, research manager in IDC’s CMO and Sales Advisory Service. “Early advantages in analytics will put a few visionary companies on a long-term performance curve that will be almost impossible for laggards to cross. It takes too long to build the data, skills, processes, and cultural orientation to support data-driven sales. Companies with leadership that lacks the vision to support investment in analytics will face significant marketplace penalties.” (Source: IDC, Best Practices in Predictive Analytics for Sales)
Leveraging its industry leading business data set, which encapsulates company information, social identity, online presence and technology providers among thousands of other data signals, Datanyze Predict constructs rich customer profiles and matches them with its database of more than 40 million companies to provide prioritized lead recommendations.
By continuously tracking the adoption of thousands of popular technologies, Datanyze is uniquely qualified to assesssales leads and make intelligent recommendations based on which technology providers a potential sales lead is currently using. Datanyze is also able to identify specific providers that were added or dropped from a prospect’s website in a given timeframe and use this information to provide more timely recommendations.
“By taking the guesswork out of the decision-making process, Predict enables sales teams to spend more time closing deals and less time qualifying leads,” said Josh Delisle, VP of Sales, North America, at Dyn, an early Predict user. “It has also helped our inside sales team uncover and rapidly convert valuable net-new leads, based on Datanyze’s extensive company database.”
“Predict was built to de-mystify the ‘black box’ predictive model problem, in which companies had little-to-no insight into why leads were scored higher or lower than others,” said Ilya Semin, CEO, Datanyze. “Taking a fully transparent approach, Predict clearly outlines the data signals that have the highest and lowest impact on your conversion rates. Gone are the days of hiding behind proprietary algorithms and nebulous scoring criteria.”
Set-up is minimal, requiring nothing more than a list of customer websites or email addresses, or a connection to Salesforce. In minutes, Datanyze Predict can build a personalized predictive model that transparently scores existing leads based on data and correlating attributes that might positively or negatively impact closing the sale. Scored results can then be filtered to show – or hide – existing CRM leads.
The introduction of Predict comes on the heels of a record 12 months for Datanyze, during which the company revenue grew 500 percent. During that same period, Datanyze expanded its workforce by ten-fold. Additionally, Datanyze released a free Browser Extension in early 2015, which is being leveraged by B2B companies nationwide for sales prospecting initiatives. The Datanyze platform is used by top technology providers such as Marketo, Oracle and SurveyMonkey to uncover, research and reach the right prospects at the right time.