Big Data & Target Marketing (Week 10 – John Geraghty)
The dawn of the digital era has entirely revolutionsed the way humans process, understand and interact with information. As suggested in the video, libraries and books are no longer our sole reference for analysing the human experience. Big data is an extremely diverse currency that has emerged from Web 2.0 that allows us to perform tasks that once upon a time, would be deemed impossible. The almost unfathomable scale of the data available gives us global access to all possible information about human response and human innovation – and while this has raised various ethical concerns regarding privacy, it has allowed business (particularly in the field of marketing) to flourish.
In an article written for the NY times, Charles Duhigg (2012) makes a commentary on the marketing methods of department store, ‘Target’ in the United States. Through an intensive process of target marketing and data analysis, Target revealed to an American father that his teenage daughter was pregnant before he knew at all. The store’s marketing team managed to find this out through closely tracking their consumers spending habits. This is achieved through the use of ID numbers for each shopper, allowing the marketing analytics department to closely examine specific customers. The team then sent advertising material to the address of the girl, promoting infant related products (Duhigg, 2012).
(Sourced from www.polyvore.com)
This raises various ethical issues for consumers, especially the Father of the pregnant teenager. Should large corporations such as Target have the ability to hone in on people in this way? The methods used to analyse consumer behaviour in the 21st century allow companies to understand so much more about our lifestyle, even to the point of predicting pregnancies and then trying to win us over with specifically angled promotion. The use of the internet now also plays an extremely important role in business target marketing.
In the current media environment, an online presence is almost essential for any modern business to thrive. Coupled with this, a strong understanding of the analytics associated with online consumer interaction is required to gain a comprehensive understanding of their motivations, wants and needs. Hashtags (#) play a crucial role in this process and allow marketers to easily coordinate discussion around certain topics with their consumers (Woodford, 2014). I only needed to browse my Facebook feed for ten seconds before finding a promotional video from ‘V Energy Drink Australia’ promoting their new energy drink. An interactive social media campaign encourages consumers to upload videos of them pranking their friends, tied together with the hashtag, ‘#kaboomamate’. This type of promotion allows companies to see the ways in which their consumers interact with the product and also has the consumers advertising the product itself through both the video and the hashtag posted from their individual social media (Venergydrinkaus, 2014).
View: https://www.youtube.com/watch?v=bTSkz9RWRhs
This once again poses certain ethical dilemmas in massive companies knowing so much about our motivations. It seems almost inevitable that corporations will continue to manipulate the technologies available to them. It is probable that moving into the future target marketing will become even more specifically angled to consumers of various backgrounds, trying always to win us over by tailoring to our differing needs.
Reference List
Duhigg, Charles. 2012. “How companies learn your secrets.” New York Times, February 16. Accessed May 9, 2014. http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=1&_r=3&hp&adxnnl=1&adxnnlx=1329521286-bAJ8Lu/xck%20DQwMUzVaodQ&
Venergydrinkaus. 2014. “Adrian Van Oyen introduces #kaboomamate.” YouTube video, posted May 8. Accessed May 9, 2014. https://www.youtube.com/watch?v=bTSkz9RWRhs
Woodford, Darryl. 2014. “KCB206 internet, self and beyond: Week 9 lecture notes.” Accessed May 9, 2014. http://blackboard.qut.edu.au/webapps/portal/frameset.jsp?tab_tab_group_id=_4_1&url=%2Fwebapps%2Fblackboard%2Fcontent%2FlistContent.jsp%3Fcourse_id%3D_108110_1%26content_id%3D_5232451_1












