E -commerce or electronic commerce is one in which the purchase and sale of products or services is carried out through the Internet, either through a web page or a social network.
Companies that use this type of commerce have an important data analysis tool to carry out their digital marketing plan ecommerce inspector, so that, by measuring and evaluating their results, they can improve their sales with less risk.
Electronic commerce allows you to know the customers of a company, as it offers data such as the most demanded products, the amount of traffic, conversions, the geographical area and a lot of useful information about the users who use the website of the company brand.
But, in web analytics, it is very important to know how to distinguish between qualitative and quantitative data, in order to interpret them correctly and reach the correct conclusions to make the most appropriate decisions.
Qualitative data in web analytics
Qualitative data is what we can interpret within a given context, and is related to the level of user satisfaction and their emotions.
This type of information helps us understand consumer behavior. With them we know the preferences and tastes of groups of people and we can define more specific segments of user profiles to focus our digital marketing strategy.
We are talking about questions that we collect through user experience questionnaires, consumer reviews on product pages, etc.
Quantitative data in web analytics
Quantitative data is data that we know in the form of amounts, percentages, and numbers. In short, they are the metrics that we can quantify about the customers of an e-commerce.
This information helps measure the performance of marketing campaigns and establish hypotheses for tests and experiments.
Quantitative data is quick and inexpensive to collect, as well as easy to analyze. They can also be viewed in a simple way in the form of graphs or tables and allow estimations or changes and improvements based on evidence.
This type of data is collected through tracking systems on web pages and applications, and provides information on visits, bounce rate, conversion, etc.
Data analysis: Big Data to boost e-commerce
Big Data is an essential tool for decision making in e-commerce. The adequate processing of the data that a company can currently collect about its customers allows it to improve the operation of its electronic commerce, position itself with respect to its competitors and, ultimately, apply policies that allow it to increase the sales of its business.
In electronic commerce, companies are also forced to continually seek new formulas that allow them to retain their loyal customers and improve their user experience, as well as attract other new consumers.
The possibility of reaching a global market is also another incentive to bet on e-commerce, which can give companies a great boost.
Big Data analysis makes it possible to detect patterns and trends in consumer behavior, create profiles, collect information on purchasing habits and, ultimately, obtain data that makes it possible for companies to make decisions focused on greater customer satisfaction with less risk of error.
Therefore, Big Data is really useful for business, since it plays an important role in the success of e-commerce when it comes to improving customer service, identifying problems and giving faster and more efficient responses.