Ultimately, we analyze all this data to make our users feel comfortable with our content. We want to convert them after they interact, driven by the information obtained on our website.
Google Analytics is the favorite for managing Big Data, which stands out when you evaluate the success of your content.
To support you with Big Data, in this evaluation you must:
Use metrics to understand engagement: bounce rate, new usa whatsapp resource sessions, and session duration. Without guesswork, you can make adjustments to your content based on the numbers.
By tracking key actions with Google Analytics like downloads of your branded eBook, you can set new and better goals.
Big Data: Massive data processing for eCommerce
However you look at it, Big Data translates into easy work for traders. All it takes is the correct interpretation and execution of this data to translate it into profits. Let's look at some of the more tangible benefits:
Optimal and personalized customer service
big data
Good customer service is a basic aspect for winning customers . Companies have always strived to provide good service, hence the classic saying that says “the customer is always right.”
Previously, there was physical contact with potential clients and there was a way to attend to them personally, now it is the same, it is even better, even if you don't believe it.
Although online commerce does not require physical contact , it does have the potential to offer exactly what the customer wants. If you don't believe me, let's look around and analyze some examples:
Big Data in email marketing is a great example to explain how it works to improve customer service.
A user enters a website (eCommerce) after browsing through different pages and finally decides to purchase a product from the online store. During each page, he leaves data about tastes, preferences, etc. These are processed by Big Data.
When registering your data, you must enter your email address. After purchasing the product, the eCommerce store sends a newsletter to that customer, either to welcome them, offer products related to their previous purchase or to assist them in using the purchased product.
It is clear that sending newsletters is not a manual task , there is no person who sends emails to each client individually. This happens automatically and the information offered through the newsletter is thanks to mass data processing.
For this reason, the treatment of structured and unstructured data is an aspect that helps improve customer service . It also allows for the creation of personalized attention. At the end of the day, this can turn a common user into a fan and loyal customer of the brand.