Various town centres in the UK have been experiencing worrying symptoms, such as store closures, reduction of footfall, and decrease of retail floor-space. Specifically for the town centres in Greater Manchester, none of the alternatives considered for addressing this problem contemplated the potential of smartphones, personalisation, and social networks. This dissertation is motivated by the current relevance of these topics in different contexts; businesses, social and individual behaviour, retailers, and so forth. The goal of this dissertation is to develop a conceptual model where town centres use technologies and information about individuals to influence their attitude to visit the town centre. Explicitly, the model uses digital footprints in social media and social networks, and data from mobile and static sensors, to build a profile of UK smartphone users. From the information inferred, a personalised message or service can be delivered to the smartphone user which would influence his or her attitude towards visiting the town centre. The model is based on information flowing in both directions benefiting the user as well as the town centre. As sharing, extracting, and using information is an important part of the conceptual model, it is essential that it transmits trust to the users about the privacy of the data, and about the way it is handled. However, the empirical test of the model was not within the scope of this dissertation. Hence, it is proposed to be undertaken as a further research.