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\section{Related Work}
Customer analytics has a rich history in marketing science. RFM analysis dates to direct mail campaigns \cite{hughes1994}. Modern approaches leverage machine learning: \cite{fader2005} introduced probabilistic models for customer lifetime value, while \cite{gupta2006} developed cohort-based churn prediction.
Deep learning for behavioral sequences was pioneered by \cite{hidasi2016} for session-based recommendations. Our behavioral embedding approach extends this work to customer-level representations.