Title: Behavioural advertising on Facebook: The user perspective regarding leisure industry. Authors: Jean-Marc Desfougères and Valentin Bloux Supervisor: Albert Thor Magnusson Level: Bachelor Thesis in Business Administration Marketing Key Words: Behavioural advertising, Facebook, privacy, online consumer behaviour, social network, leisure industry, targeting. Purpose: study how a specific age bracket of Facebook users perceives the leisure industry behavioural advertising on this social networking site. Method: This thesis follows a deductive approach. We are using secondary data from books, articles and studies but also primary data thanks to a questionnaire; which allows us to answer our purpose. Theoretical Framework: First define the online consumer behaviour and its characteristics through existing models and then define behavioural advertising, how is the leisure industry using this marketing tool and what are the drawbacks of such practices. Conclusion: The authors conclude that Facebook users are more and more aware of the use of behavioural advertising. But due to a lack of education about such marketing techniques the 18-30 years old tend to adopt mostly strict privacy settings with the intention to block those advertisements. The privacy issue is important and even if the users seems to be interested in the offers of the leisure industry there is still a long way before obtaining a full acceptance of this practice. Then are presented the contributions given and the further research possible regarding this topic.

Promotion is one of the four major marketing elements of the marketing mix (others are product, price and place) in implementing marketing strategy. Promotion is dealing with the ways a company communicates with its customers to persuade them to buy the product. Promotion mix covers all the different ways a company choose to communicate with its customers such as advertising, personnel selling, PR, sales promotion and others. Selecting the optimal blend of the promotion mix is a tough and critical issue for marketers and does not have a fix operative formula. The fast pace of improvements in digitization in this era led companies produce digital products. Due to their inherent characteristic of digital products, such as intangibility, promotion mix selection is a more challenging issue. In my thesis study, I proposed a framework in classifying the digital products and then apply a fuzzy linguistic decision model approach with appropriate genetic algorithms to reach an optimum promotion mix set for digital products. Optimization is targeting to justify the objectives of the company, provide a satisfying marketing performance for the companies of digital product producers and utilize their budget effectively. The proposed model is implemented on an empirical case and produced satisfactory results.

This Diploma thesis concretely analyses methods promotion of products, meaning of marketing department in a company and means of promotion efficiency meansurement. It further analyses existing marketing structure of the company Tescan, Ltd. and it contains recommendations and proposals of improvement present position for this company.