Visual illustration showing customer churn analytics with an hourglass and risk dashboard, representing how retail brands can predict customer churn by identifying at-risk customer segments before the new financial year using predictive CRM analytics.
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The March Warning: Identifying ‘At-Risk’ Cohorts Before the New Financial Year

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As the Indian retail calendar hurtles toward the March 31st finish line, most enterprise teams are hyper-focused on closing the […]