A key risk of aggressive personalisation in CRM-driven marketing is:

Why: Predictive analytics uses historical customer data patterns to anticipate a customer's next likely need or purchase. Why the Other Options Are Excluded: •  This describes discriminatory profiling, not the pattern-based anticipation of customer needs that predictive analytics performs. •  Predictive analytics supports service and marketing decisions, but doesn't necessarily eliminate human involvement entirely. •  Predictive analytics relies entirely on customer data, not its elimination. •  This describes randomness, the opposite of predictive analytics' data-driven approach. Industry Example: A CRM system flags that a customer's spending pattern suggests they are likely to be interested in a specific new product.