Data science or data science is the study of the data generate by an ecommerce with the aim of reaching conclusions about how it is working to improve results. In this study of data, disciplines such as artificial intelligence, machine learning, statistics and computational engineering come into play.
Because it is important?
Data science applied to ecommerce can help a brand understand customer behavior, as well as their preferences and needs in order to give them what they need and increase their return on investment.
Limitations of data science
Despite the fact that data science is a very interesting technique and with which, today, it is crucial to work if you have an e-commerce, you must be aware that it is not perfect.
On the one hand, data science, as its name suggests, is completely based on the data generated by a platform (in the case of the issue that concerns us an ecommerce), and if these are incomplete or India Phone Number Data not understood in their context they can lead to incorrect conclusions and, later, to wrong decisions.
On the other hand, implementing data science requires highly-skilled professionals who have deep technical knowledge on the subject, as well as sufficient experience.
Finally, we must not forget that the inevitable end of cookies is there , which will limit the data that this discipline will have.
Tips to take advantage of data science applied to ecommerce
Do a customer segmentation
It is not as useful to have general data on all your clients as specific to each group, because the interests of each segment are not the same and, therefore, neither are the strategies that you carry out . Perhaps with the audience in South America you will increase your ROI by doing x actions, and with the one in Spain you will have to do other kinds of things. And you can only know that if you segment your customers according to different factors.
Optimize the search option of your ecommerce
The search bar of an ecommerce is one of the elements from which more information about customer behavior can be extract through data analysis. Therefore, it is important that it works perfectly.
Foster a data mindset in your company
For data analysis to work, all BQB Directory company teams must be aware of its value and get used to integrating it into their work dynamics.
Take advantage of predictive analytics
With data analysis you can also carry out predictive exercises and learn patterns that will allow you to know future trends and make better decisions. In other words, data science not only helps you to know how everything is going at the present time, but also to know what your future will be like if you continue with the same dynamics.
Analyze key metrics
ROI is a very important metric , as we have already mentioned, but to improve it, many others must be taken into account, such as the cart abandonment rate, total sales or the conversion rate, among others. Data analysis will allow you to know them and know what is improving or worsening your ROI.
But also to know what your future will be like if you continue with the same dynamics.
