Data Analytic in Digital Marketing

Due to the evolvement of the business world, marketing now has a more efficient way to understand customers, which is based on data analysis. It can help companies understand customers better than before. It is because by collecting and decoding these data, companies can know what customers want and need more

For example, one of the data analytics forms is Predictive Analytics. It is about data mining, statistics, modeling, machine learning, and artificial intelligence to analyze data and makes a prediction based on it (Foundations of Predictive Analytics, 2018). It is used by Alibaba and which efficiently increases customer purchase in recent years .

Picture from: https://www.latmultilingual.com/things-you-need-to-know-before-opening-a-store-on-tmall-global/

Alibaba collects customers’ data on its app “Tmall” which is an online supermarket to do customers prediction. It collects data on people’s habits in the online world to enable more relevant store show on your customized home page to stimulate customers’ purchase.

For example, I have bought many makeup products on Tmall. As a result of it, there are more make up related products advertising showing on my customized app home page. In addition, some information about skin care products will also be pushed to me by Tmall. It could be based on the association analysis of Alibaba since people who love makeup also could also have a need for skin care products.

Predictive Analytics is quite useful in nowadays, which can be benefit to customers and companies both.

What is your opinion about data analytics in digital marketing? Common below!

Reference:

Foundations of Predictive Analytics. (2018). Foundations of Predictive Analytics.