Carefree shoppers are more likely to receive tailored price incentives, a study by Durham University Business School indicates. Researchers examined how vendors allocate promotional offers and found that consumers who display a less cautious approach to spending tend to be chosen more frequently as recipients of personalised discount codes. The work highlights a deliberate selection process by retailers aimed at maximising immediate sales among customers judged most likely to respond.
The study describes personalised codes as one of several tools retailers use to influence purchasing behaviour. Rather than distributing uniform promotions, merchants appear to prioritise offers for customer segments whose past activity or profile suggests a higher propensity to spend. This targeting practice concentrates promotional resources on those shoppers considered most valuable in the short term, according to the research findings.
The findings carry implications for consumer experience and market dynamics. For shoppers, receiving bespoke discounts can mean lower prices and incentives to buy more frequently, while others may seldom see comparable offers. For retailers, the targeted approach can increase marketing efficiency and conversion rates but also raises questions about transparency in pricing and equitable access to savings. Observers say these dynamics merit attention from consumer advocates and industry stakeholders interested in fairness and openness in promotional strategies.
The study sits within a broader shift toward personalised marketing across retail and digital commerce, where data-driven segmentation increasingly shapes who receives which incentives. For consumers, the research underscores the importance of awareness about how offers are distributed and suggests that who receives a discount is often the product of deliberate business decisions rather than chance. For the sector, it reinforces ongoing debates about the balance between targeted promotions, consumer protection and inclusive pricing practices.


