Converseon Links Conversations to Business Outcomes

Consumer intelligence provider Converseon has launched a suite of 'Decision Intelligence' solutions, connecting real-time conversation data to 'tangible' business outcomes such as sales, shareholder value and customer loyalty, and quantifying the likely impact of specific actions before they are taken.

Based in New York, the firm uses proprietary applied AI technologies, measurement frameworks, industry experience and data partnerships to help brands and data platforms maximize the value and impact of unstructured conversational data intelligence.

The new suite of solutions has been designed for use in brand and corporate reputation, measurement and analytics initiatives. Powered by the company's Conversus autoNLP platform, the suite includes the 'Social Brand Reputation Intelligence System' (SRIS), which provides predictive reputation intelligence; and the 'Social Brand Relevance System' (SBRS), which enables marketers to understand how well the brand and product lines fit with category needs, and predict future brand and product alignment. Both solutions include an Assess module to view current and past performance and to benchmark against competitors and brands; a Diagnose view to understand key drivers and topics; and a Predict option that allows users to simulate the likely impact of decisions in advance.

Founder and CEO Rob Key (pictured) comments: 'Social (media) and related conversational data is a powerful source for predictive insight, but such data all too often drowns brands with too much noise and hindsight insights. To address these issues, our decision intelligence solutions employ advanced data classification to eliminate noise, and use augmented AI-powered intelligence to provide the data that matters that is precise, predictive, and tied to business outcomes for a world where even real time is not always fast enough'.

Web site: www.converseon.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.