How to use tools to manage and analyze customer information

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Customer reviews of products are also useful for uncovering customer needs. In doing so, you should pay attention not only to product reviews, but also to the reasons for choosing and reviews of specific companies, brands, and sales channels. However, there are some aspects of customer needs that cannot be fully understood through quantitative analysis alone. In such cases, it is effective to conduct qualitative analysis using hearings, interviews, and descriptive questionnaires. Customer decision-making process It is also important to visualize and understand the decision-making process of how customers become aware of a product and end up purchasing it.


The process by which a persona ends up purchasing a product vietnam telegram database is often analyzed using a concept called the customer journey. As the environment surrounding consumers has changed from the mass media era to the web era and further to the SNS era, customer purchasing behavior is also said to have changed dramatically. These changes are being analyzed and classified in various places as consumer "purchasing behavior models," so it can be said that studying them is essential.


Comparing purchasing behavior models with the decision-making process of your own customers should lead to new discoveries in customer analysis. Representative methods of customer analysis What exactly are the different types of customer analysis? Here we will look at four typical analytical methods that use customer information. Segmentation Analysis Segmentation analysis is a method to identify commonalities among customers and divide them into groups with high similarity. By dividing customers into groups using data such as existing customer attributes and purchase history, it becomes possible to take different approaches that are more suited to each group.