Customer Information

All customer-related data that a company collects and uses; a core asset for CRM and personalization and the primary subject of personal data protection regulation.

Customer Information (고객정보)

Overview

Customer information (Korean: 고객정보; 顧客情報) refers to all data that a company collects or generates through transactions and interactions with customers in the course of providing goods and services. It ranges from identifying information such as names and contact details to purchase history, behavioral logs, consultation records, and inferred preferences, and in modern management it is treated as a core asset directly tied to revenue. At the same time, because it is the primary subject of personal data protection regulation, how a company designs the balance between value of use and privacy protection becomes an important managerial and technical challenge.

Key Details

Definition and Scope

Customer information can be divided broadly into four categories. First, identifying information is data that can specify a customer, such as name, resident registration number, mobile phone number, email, address, and bank account or card information. Second, transactional information includes purchase records, payment methods, membership tiers, and return and exchange history. Third, behavioral information is data accumulated through observation, such as web and app logs, clickstreams, search terms, location, and dwell time. Fourth, inferred information is data derived by analyzing the preceding data, such as preferences, churn probability, and predicted lifetime value. Sensitive information such as health, biometrics, political leanings, and religion is subject to separate, stricter regulation.

Collection and Consent

The domestic Personal Information Protection Act requires the principles of purpose specification, minimum collection, accuracy, securing safety, and anonymization. At the time of collection, consent for collection and use, consent for provision to third parties, notification of consignment of processing, and consent for marketing use must be obtained separately, and coercively bundling optional consent items is prohibited. For children under the age of 14, consent from a legal representative is required, and the right to withdraw consent and the right to request access, correction, and deletion must also be guaranteed.

Storage and Management Systems

Companies typically build a customer 360 view by combining CRM (customer relationship management), CDP (customer data platform), DMP (data management platform), and data warehouses and lakes. Master data management (MDM) integrates duplicate customers, and data governance policies control access rights, retention periods, and destruction procedures. At the storage stage, encryption, pseudonymization, de-identification, and tokenization are required as basic measures.

Areas of Use

Customer information is used for segmentation, RFM analysis, personalized recommendations, churn prediction, calculation of customer lifetime value (CLV), retention campaigns, A/B testing, and call center quality improvement. Recently, combining it with real-time streaming data to immediately present personalized screens and benefits has become the standard.

Security Threats and Breach Response

Ransomware, phishing, insider leaks, and misconfigured cloud storage and APIs are major breach channels. When a breach occurs, obligations arise to notify data subjects and report to supervisory authorities, and depending on scale, administrative fines and liability for damages follow. Accordingly, the adoption of zero trust access control, anomalous behavior detection, and data loss prevention (DLP) is spreading.

Legal Regulation

Domestically, the Personal Information Protection Act is central, with the Information and Communications Network Act, the Credit Information Use and Protection Act, and the Location Information Act applied in overlapping fashion. Overseas, the EU's GDPR, California's CCPA and CPRA, and China's PIPL are representative, and global service companies must operate systems that simultaneously satisfy regulations by region.

Latest Trends

The biggest change in 2024–2025 is the collision between generative AI and customer information. Debate continued over personal information and pseudonymized information contained in training data and the scope of their use, and supervisory authorities in various countries issued guidelines strictly interpreting purpose limitation and legal basis for data processing for AI training purposes. As the EU AI Act entered the implementation phase, the issue of consistency with the GDPR also emerged as a major point of contention.

Second, after restrictions on third-party cookies, alternative identifiers, data clean rooms, and contextual targeting have risen. As the accuracy of advertising performance measurement declined, the value of securing first-party data and zero-party data (intentional data provided directly by customers) grew.

Third, privacy-enhancing technologies (PET) have moved into practice. Differential privacy, homomorphic encryption, federated learning, and synthetic data have entered the commercial stage beyond pilots in the finance and medical fields.

Fourth, regulatory enforcement has strengthened. Requirements for cross-border transfers were overhauled, fines were raised, and the burden of proving damages was eased, while MyData is expanding beyond finance into telecommunications, healthcare, and the public sector. Companies are raising their level of response through privacy by design, data minimization, adoption of consent management platforms (CMP), and the formation of AI governance committees.