Transactional data refers to the structured, time-stamped records generated whenever a customer completes an action with a business, such as a purchase, a subscription renewal, a support request, or a product return. Within consumer intelligence, transactional data is valued for its precision and scale: it tells analysts exactly what happened across large populations without relying on self-report. However, transactional data is inherently behavioural rather than explanatory. It can surface patterns, anomalies, and segments, but it cannot tell a research team why a customer churned, why a product sits in the basket without converting, or what emotional context surrounds a repeat purchase. Qualitative research closes that gap by connecting the behavioural signal to the human story behind it.