ITA Group Named Among Top Channel Incentive Management Companies by Leading Independent Research Firm
ITA Group, a global channel incentive solution provider, has been named among top channel incentive management companies in The Forrester Wave™: Channel Incentive Management (CIM), Q1 2022: The 11 Providers That Matter Most And How They Stack Up report.
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Forrester evaluated 11 of the most significant CIM vendors against 23 criteria, including Channel Performance & Incentive Types, Capabilities & Personalization, and Automation, Insights & Analytics.
ITA Group was cited as a Strong Performer in CIM, earning the highest possible scores in the Customer & Partner Types, Non-Monetary & Micro Incentives, and Security & Privacy criteria.
In the report, Forrester authors and analysts Maria Chien and Jay McBain state, “ITA Group is best suited for larger enterprises in North America with a need for deep-level industry knowledge, combined with a highly customizable platform supported by a superior professional services portfolio.” They also write, “ITA Group aims to reduce the complexity of channel incentives by combining highly configurable technology with robust services supporting deep cross-industry incentives use cases.”
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“The Forrester Wave validates for us ITA Group’s market-leading ability to motivate and engage any customer and partner type in a single enterprise-class platform,” shared Ellen Linkenhoker, Insights and Strategy Lead for ITA Group’s channel solutions, “We’re helping indirect channel businesses grow their channel revenues and performance metrics by offering a platform built to accommodate concurrent programs for sales and non-sales audiences.”
“The future of our channel incentive platform is bright,” commented ITA Group’s Vice President of Strategy Kristin Brandenburgh. “Our solutions infuse sophisticated time- and journey-based segmentation with proactive nudges based on real profile and behavioral elements. We’re also actively investing in innovation to modernize claims programs and personalize programs through machine learning and AI.”
