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Institute
In a world where customers are exposed to advertisement and marketing messages on a daily basis, traditional marketing has almost lost its power. Especially, younger persons simply don`t have the time or the patience anymore to listen to every single marketing message out there. This forces marketers to search for new ways to reach their customers. Nowadays they are not anymore focusing on ways to reach the customer directly but try to communicate their message indirectly via persons who are not necessarily involved in the marketing industry. Marketers define those persons as so-called influencers. Influencers can be individuals writing blogs or publishing articles in online forums as well as friends suggesting a special product they recently bought. After addressing basic topics like influencer marketing, the social web and the customer journey, I will head on with the main part of the thesis focusing on the different influencer categories and the methods for companies or brands to identify and control these influencers in a social web environment. The Web 2.0 has made this process a lot easier for companies since they are now able to use services like social influence scoring platforms to do so. An in-depth analysis of the algorithms and measurement processes used by those platforms will show the pros and cons of this method. Finally I will point out which influencer types would be helpful in each stage of the customer journey to generate sales as well as external elements capable of altering the influencer`s marketing message.
This paper describes an application analysis of one important topic of diversity
marketing – gender marketing. With the help of two surveys and content analyses
in two different media sectors – television and print media – the general trend of
gender representation in advertising could be located. While most survey
respondents are still using characteristics for males and females which were
shaped by traditional gender roles, most of them believe that the roles from the
1950s are outdated and that the media should adapt to the changes in societies in
regard to gender roles. However, the content analyses have shown that the
marketers have already adapted and are primarily presenting the viewers
contemporary images of men and women instead of the stereotyped ones from the
1950s. The only issue that has not changed yet is the color coding which starts to
differentiate between males and females since childhood. The findings of this
paper suggest that the perception and the reality do not always correspond with
each other and that, although the adoption of the change of gender roles is
advancing, it is still not completed yet.
This research looks into the question of where and how Artificial Intelligence and Big Data can be usefully implemented into Affiliate Marketing. By consulting relevant literature and qualified experts, this work identifies 6 areas, where Artificial Intelligence can be beneficial. These areas were found to be Affiliate Recruitment, Affiliate Management, Product Data Feed Optimization, Tracking, Attribution and Forecasting.
The implementation of Artificial Intelligence in these areas revealed 3 advantages to the Affiliate Marketing channel: Saving of time, support of decision-making, and incentivizing of publishers. While a more detailed study of this research topic would be necessary for validating the results, the findings show that the implementation of Artificial Intelligence technology can help a business gain competitive advantage.
Hardcore Gamer Profiling
(2018)