Email & Personalisation: Asos

I rarely open emails sent to me from retailers (Asos)  unless there is a promotion which catches my attention.  Therefore looking at the email from an analytic perspective , I have identified the email sent are personalized however  not to a great degree e.g. name, address, hobbies but rather  more generic e.g. gender.  There is room for greater personalisation as products highlighted are very random with no consistency towards personal style/appeal e.g. specific  type of jacket,shoes  there could be a focus on history of previous purchases to further increase personalisation.

Mohammadi, M., Malekian, K., Nosrati, M., & Karimi, R. (2013) highlight the importance of using all customer information that is available to you focusing on  personalisation  so the customer relates to the contents of your email marketing message.

Asos implement the use of call to action in their email in an attempt to encourage customers to act immediately which  does have positive results in regards to the viewing of email. As this was the  primary reason as to why I viewed their email  and might lead to a purchase of their products.

 

Data Science & its relationship to Big Data

The focus of this article was highlighting a siginificant trend  inot the application of data science within companies in almost every industry are focused on exploiting data for  an competitive advantage. This is through the application of
data-processing technologies  which enables data driven decison-making leading to effective applied strategies and accurate forecasting. to be continued….

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