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Digital personalization has become central to contemporary business management because firms increasingly use customer data, predictive analytics, and automated service systems to tailor experiences, recommendations, communications, and offers. When designed well, personalization can increase relevance, reduce search effort, improve service convenience, and strengthen customer relationships. Yet the same practices can become intrusive when customers feel excessively tracked, profiled, or targeted without meaningful control.The central problem addressed in this article is that personalization is often managed as a performance instrument rather than as a responsible customer relationship practice. Many firms evaluate personalization through conversion rates, engagement metrics, or transaction outcomes, while privacy expectations, service quality perceptions, and trust consequences remain secondary. This creates a managerial blind spot because personalization can generate short-term effectiveness while quietly weakening long-term trust.This article proposes a Responsible Digital Personalization Framework for business management. The framework integrates four interdependent pillars: customer relevance, privacy expectations, service quality, and brand trust. It argues that responsible personalization is not achieved by reducing personalization but by governing how, when, why, and with what customer data personalization is delivered.The framework contributes by repositioning personalization as a strategic design choice rather than a purely technical capability. It shows that customer relevance and service quality must be pursued within privacy-respecting and trust-building boundaries. Responsible digital personalization therefore becomes a source of durable customer value, not merely a mechanism for immediate targeting efficiency.