Machine Learning Times
Machine Learning Times
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Effective Machine Learning Needs Leadership — Not AI Hype
 Originally published in BigThink, Feb 12, 2024.  Excerpted from The...
Today’s AI Won’t Radically Transform Society, But It’s Already Reshaping Business
 Originally published in Fast Company, Jan 5, 2024. Eric...
Calculating Customer Potential with Share of Wallet
 No question about it: We, as consumers have our...
A University Curriculum Supplement to Teach a Business Framework for ML Deployment
    In 2023, as a visiting analytics professor...
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9 years ago
Using Advanced Clustering Techniques to Better Predict Purchasing Behaviors in Targeted Marketing Campaigns

 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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