Data Engineering and Privacy Challenges in Loyalty Card Programs: Insights from Retail, Banking, and Hospitality

This paper explores the data engineering practices surrounding loyalty card programs in the retail, banking, travel, and hospitality industries. It examines how businesses use personal and transactional data to enhance customer retention and gain competitive advantages. The research highlights industry-specific practices, regulatory frameworks (such as GDPR and CCPA), and the security measures adopted to protect Personally Identifiable Information (PII). Key insights into how data is leveraged for targeted marketing and the persistent vulnerabilities in data protection systems are also discussed. The study provides a comprehensive view of the ethical, economic, and strategic implications of loyalty card data on modern businesses and consumers.

With practical and theoretical methods applied, we discover and share our findings from how consumers’ loyalty is segmented across industries, their preferred payment methods, the bridge between points acquired and utilized by customers across various tiers, as well as churn analysis with a focus on clients who left the business and factors that motivated the exist. Recent surveys (in the USA and UK) also help us understand users’ preferences among different age groups, therefore providing insights for businesses to leverage. The invaluable nature of data begs the need for protection laws to be in place, hence, we explore measures that are set in place for all parties involved to protect consumer data from collection to usage. The research also proposes a framework that could be modelled by companies hoping to create a loyalty program.