CONSUMER BEHAVIOUR, MARKET RESEARCH, AND CUSTOMER INTELLIGENCE

The presence of customer data does not establish that an enterprise understands its customers. Purchases are shaped by constrained choice, habits, identity, social relations, institutions, information quality, channel architecture and the experience that follows acquisition; research about these processes is itself vulnerable to selection, measurement, causal and ethical errors. This chapter develops a critical account of consumer behaviour, market research and customer intelligence as complementary but nonidentical activities. A purposive secondary-source synthesis assesses consumer decision models, the theory of planned behaviour, prospect theory, social influence, innovation diffusion, survey methodology, qualitative inquiry, experimentation and customer-value analytics. Twelve approved sections examine purchasing contexts, psychological and sociocultural influences, the customer journey, digital environments, research design, qualitative and quantitative methods, CRM, retention economics, consumer protection and AI-mediated research. Official evidence from Rwanda's 2024 FinScope survey is interpreted alongside Kenya's 2024 FinAccess findings without treating financial inclusion as online purchasing prevalence. Original contributions include an evidence-linked customer-journey model, a source-to-decision research protocol, metric definitions, an auditable cohort-retention example, and a Rwanda-based secondary-data research design for an illustrative service enterprise. The governing argument is that defensible customer intelligence requires behavioural explanation, fit-for-purpose evidence, accountable data governance and cross-functional action. It must remain open to correction, represent noncustomers and vulnerable consumers fairly, and distinguish observed relationships from experimentally identified effects. The proposed synthesis is conceptual and pedagogical, not a newly validated causal model.