March 30, 2015

Lattice Engines Launches Lattice Account Prioritization

Lattice Engines, a provider of predictive marketing and sales applications, today launched Lattice Account Prioritization, a new addition to its application suite.

The application enables marketers to leverage predictive analytics to segment and target accounts in their campaigns and develop personalized messages. At the same time, sales teams can use predictive account scores and intent-based buying signals to prioritize their outbound calling efforts on known prospects most likely to close. The application leverages external fit and intent data to score dormant accounts, purchased account lists, etc. that marketers otherwise have little information on or have not engaged with previously.

Lattice Account Prioritization combines billions of intent signals with company fit and firmographic data and applies advanced machine learning to score a prospect based on likelihood to convert and to identify the underlying predictors of conversion.

Key features of the application include the following:

Account scores and buying signals based on a combination of billions of rows of intent and company profile data;
Drag-and-drop Segment Builder and Predictive Insights Dashboard for segmentation and precise targeting based on thousands of account-level attributes; and
Buyer Insights for Sales CRM plugin that enables sales teams to prioritize their outbound calling efforts and guide their customer conversations.

"Companies employing account-based marketing tactics and outbound prospecting can now leverage predictions to prioritize and focus their efforts on identified prospects most likely to convert. With the combination of intent, fit, and behavior data, Lattice provides the best predictions about which prospects will turn into customers and what attributes make for an ideal prospect," said Shashi Upadhyay, CEO of Lattice Engines, in a statement. "From prospect to lead to customer, Lattice provides a suite of apps for the entire revenue funnel, enabling companies to predict who will buy, what they will buy, and when."
"To accelerate our account-based marketing efforts, Demandbase required a scientific understanding of the highest value companies to target," said Peter Isaacson, chief marketing officer at Demandbase, in a statement. "Lattice Engines' technology provided this by identifying and prioritizing our target accounts using their predictive analytics. By organizing our sales and marketing efforts around these high value accounts, we have better aligned our teams and significantly increased our pipeline."