Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
Survey: Machine Learning Projects Still Routinely Fail to Deploy
 Originally published in KDnuggets. Eric Siegel highlights the chronic...
Three Best Practices for Unilever’s Global Analytics Initiatives
    This article from Morgan Vawter, Global Vice...
Getting Machine Learning Projects from Idea to Execution
 Originally published in Harvard Business Review Machine learning might...
Eric Siegel on Bloomberg Businessweek
  Listen to Eric Siegel, former Columbia University Professor,...

Customer Retention

What are you Predicting in Customer Retention?

 Customer Retention models are arguably the most valuable models that organizations can develop in improving overall customer profitability. The ability to target high value customers who are most likely to defect or become inactive allows organizations to prioritize limited resources within an overall retention strategy. With customers now scored in terms of their value and

Getting Serious about Customer Retention!

 Retention has always played second fiddle to acquisition within marketing – despite the fact that acquiring new customers is far more expensive than retaining existing ones and that the top tranche of customers contributes the vast majority...