Post by account_disabled on Mar 6, 2024 1:37:48 GMT -5
Artificial Intelligence, behavioral science - that is, science that studies the way in which people relate to something - and data. By uniting these 3 pieces of knowledge, which are so useful in Customer Experience, great things are achieved. Truth be told, Customer Science is an emerging concept and it is useful that it begins to expand into the study of experiences, and it can make a big difference in customer-driven growth. What is science? In general terms and according to Wikipedia, it is “a set of verifiable systematic knowledge that studies, explains and predicts the social, artificial and natural phenomena of the observable universe.” In itself, it does not say that we know for sure that we have an answer to everything, but it does say that when we obtain new information, we know more than when we started. Now, how to make Customer Science and companies work together? The key to analyzing behaviors and feelings We have already said that customer science is not completely defined, as it is something emerging, and is more of a fusion between technology, CX and behavioral science. While some do, many organizations still do not take into account the rational, emotional, subconscious and psychological level of the customer experience, something that is vital to understanding the way consumers behave.
Creating customer journey maps, empathy maps, updating buyer personas, among other things, are essential processes to focus on behaviors and feelings. It is known that the way we behave and, of course, consume, change, and even more so now, in a time of constant technological transformation, and with growing demands from customers who do know what they want. It is important to have information about customers, and Customer Science helps make this happen. Collecting Buy Bulk SMS Service data Data is a great source of value, and analyzing it is what will allow us to reach the hearts of users. Many companies have a large store of customer data for science to rigorously identify and explain. From a database to user comments, it's all valuable information. Knowing how to use this data intelligently is crucial to understanding customers with a depth of behavioral science. Amazon, for example, has a division called “Amazon Science” in charge of this issue. Collecting and analyzing are two activities that help Customer Science advance, since everything can be used to distinguish, for example: Customer purchasing habits. Favorite hobbies to offer them customized activities or products. Amount of money you spend on a site.
That's right, data science could do all these things and many more. In other words, with all the technology and data, you can apply Customer Science to explain why people do things and then use those findings to get them to buy more. All this will help commercial strategies become increasingly successful and sophisticated. The change of models Customer Science arrived so that organizations feel the pressure to change to a model where data, in behavioral analysis, AI and implementations in pursuit of the customer, are paramount. Meanwhile, the increasingly widespread adoption of cloud computing, digital transformation and 5G fuel the fusion of these ideas and encourage organizations to adopt them. Customer Science: the future for customer growth analytics? We do not know if this will be the case, and if there will be spaces in companies dedicated to carrying out customer science, but what is certain is that the analysis of customer behavior leads to the growth of organizations. It places them in a superior place by focusing on people's emotional needs and becoming their ally.