Fcharm_prin_foc_si_prin_apa_feat_aris -

Identify the primary interaction type (e.g., "Online Purchase", "Support Call", "Mobile Login") with the highest frequency per customer.

Principal/Primary Apartness (measures how distinct this behavior is from the norm). feat_aris: Feature Arising (the resulting generated score). Definition: Principal Focal Significance Apartness Feature fcharm_prin_foc_si_prin_apa_feat_aris

to calculate this from raw logs.

The customer engages in common behavior or low-significance interactions. Identify the primary interaction type (e

This feature measures the . It identifies the core activity a customer engages in, determines its importance, and calculates how rare (distinct) that behavior is compared to the overall population. 1. Conceptual Formula It identifies the core activity a customer engages

Calculate the inverse of the frequency of this behavior across the entire population (lower population frequency = higher prin_apa score). Step D (Arising - feat_aris ): Normalize the final score. 3. Interpretation

fcharm=Principal Focus Score×Significance Index×Apartness Quotientfcharm equals Principal Focus Score cross Significance Index cross Apartness Quotient 2. Implementation Steps