Predictive Intelligence for the Top of the Sales Funnel

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Big data is transforming every industry, accelerating revenue growth for enterprise marketing and sales teams. Well, at least those enterprises with the right digital tools.

6Sense, a predictive intelligence engine, recently emerged from stealth mode with its solution, a machine-learning algorithm and behavioral data set that aims to help companies identify potential customers and predict sales. Unlike its competitors which look at the behavior of users at the bottom of the funnel, 6Sense identifies net-new prospects at the top of the funnel - as well as prospects further along in their purchasing journey. 

The technology works by parsing internal data from customers and linking that data to external behavioral indicators of customer interest. 6Sense then uses the data to build custom models to predict where customers are in the buying cycle and what products they might buy and when, allowing its customers to accelerate sales and optimize marketing.

The company announced $12 million in Series A financing led by Battery Ventures and Venrock, with participation from Silicon Valley Bank. Roger Lee, general partner at Battery Ventures, and Brian Ascher, partner with Venrock, have joined 6Sense's board.

"We are moving into a new and exciting era for software, where data-driven and intelligent solutions are replacing the traditional 'dumb' workflow software that businesses have typically relied on," said Amanda Kahlow, founder and CEO of 6Sense. "Today, organizations need to invest in solutions that make data central to driving their business forward. We aren't simply giving our customers a tool for incremental results; we are measurably growing their businesses with insights that will drive sales and, ultimately, their bottom line."

6Sense already has a number of enterprise customers including NetApp, Cisco, CBS Interactive, Xactly, Blue Jeans, Pure Storage, and CSC. The financing will enable the company to continue to develop the product and increase marketing.

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