Lattice Engines was selected by Forrester to participate in its June 2017 evaluation, The Forrester Wave™: Predictive Marketing Analytics for B2B Marketers, Q2 2017.
Positioned as a dominant provider of revenue acceleration solutions, Lattice Engines was appreciated by customers for its ability to help clients create effective marketing and sales strategies. The company is declared a leader by Forrester Report for creating remarkable marketing and sales capabilities for its customers. It has scored high in Output of Predictions, Corporate Strategy and Product Road Map criteria among other players.
Shashi Upadhyay, CEO of Lattice, said, “Today’s B2B marketers need to create hyper-targeted programs that support a number of revenue efforts, such as deepening account-based relationships to identifying new customers to supporting cross-sell efforts with the sales and customer success teams. We’re thrilled that our hard efforts to build proven solutions for the marketing community are being recognized by both independent analyst firms and our customers.”
In the words of Forrester Wave report, Lattice “consistently performed across all criteria we evaluated. Its predictive capabilities can prescribe outcomes for sales and marketing use cases that cut across the entire customer lifecycle — from the early-stage account and contact acquisition to current customer enrichment and competitive win-backs – and strongly complement modern ABM strategies.”
Lattice Data Cloud provides more than 16,000 attributes on 200 million companies globally. Customers can benefit from Lattice as it enables them to create unlimited segments by combining Lattice Data Cloud and their own internal data, including MAP/CRM data, transaction data, product usage data, support and service data, etc. The segments can be availed through the company’s execution systems (e.g. marketing automation, CRM, or ad targeting platforms), which enable teams to run hyper-targeted campaigns across the entire buyer’s journey, starting from awareness, engagement, and conversion to expansion.