Today’s forward-thinking retailers are seeking relevant, agile and intelligent solutions to drive their targeted marketing efforts. They recognize data as a strategic asset and leverage it to make critical business decisions and strengthen their competitive advantage. However, despite the increase in retail channels and modes to identify potential buyers, many retailers haven’t been able to quickly adapt to changing times. Their customer segments remain broad and ill defined. One of the major obstacles to identifying the right customers in a targeted marketing campaign is an organization’s inability to predict future purchase behaviors. Advanced clustering can help resolve this
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