AnalyticsIQ Releases EconomyIQ(TM), a Dynamic Tool for Assessing and Predicting Economic Conditions by Zip Code

Market Wire, March, 2009

Atlanta-based AnalyticsIQ, Inc. ( www.analytics-iq.com ) announced today the release of EconomyIQ(TM), a powerful new decision support tool for measuring current and forecasted economic conditions by zip code. EconomyIQ combines data from seven economic indicators including home prices, unemployment rates, retail sales and consumer bankruptcy and then overlays consumer credit data by zip code to produce an extremely accurate view of current and forecasted economic conditions by region.

"EconomyIQ is an effective analytical tool for managing in this volatile economy," says Dave Kelly, CEO of AnalyticsIQ. "Companies need to accurately assess the economic well-being of varied areas of the country so that they can make better decisions. EconomyIQ is a reasonably priced tool that helps companies identify the best regions for commercial development, marketing and hiring strategies, and store or branch expansion decisions."

Gregg Weldon, AnalyticsIQ's Chief Analytical Officer, says, "Today's economy is forcing companies to make even more careful, accurate decisions. There's no margin for error. EconomyIQ is the only tool that provides an advanced analysis of key indicator and consumer data down to the zip code level, a ranking of the percent change and a forecast of the next period performance." He adds, "At the heart of EconomyIQ are our time-series models which make this product unique."

EconomyIQ is available quarterly on an annual subscription basis by AnalyticsIQ. It is the latest product in AnalyticsIQ's continued rollout of innovative direct marketing and decision support tools.

About AnalyticsIQ

Based in Atlanta, Georgia, AnalyticsIQ provides advanced analytics and modeling solutions to help companies make smarter decisions. Founded by industry experts, AnalyticsIQ offers a wide range of products and services, including custom modeling services utilizing demographic and credit data. For more information, visit www.analytics-iq.com .

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