Customer decision-making process
Posted: Wed Jan 29, 2025 7:08 am
If a customer has high scores for the most recent purchase date, purchase frequency, and purchase amount, they can be easily determined to be a "best customer." Alternatively, it is also possible to classify customers who tend to have high scores only on their most recent purchase date as new customers, and customers who have low scores only on their most recent purchase date as dormant customers who may have switched to another company. By conducting an RFM analysis, you will be able to obtain important information for making decisions, such as what measures to take for which customer groups and when to do so.
CTB analysis CTB analysis is a method to classify customers vietnam telegram database along three axes: "Category," "Taste," and "Brand." If Decile analysis and RFM analysis are methods to sell products efficiently, CTB analysis is slightly different and can be considered an analysis to understand customer needs and make purchasing predictions. Categories include major categories such as women's, men's, lifestyle, and food, medium categories such as fashion, interior, and kitchen, and further subdivided subcategories. Tastes include color, pattern, shape, texture, size, and so on.
Brands include general corporate brands, product brand images, and even characters used. By classifying customers by combining these three axes, you should be able to know the preferences of individual customers with a high degree of accuracy. To use CTB analysis, you need to add and record CTB to purchase history, but this condition can be met by building a system for collecting detailed information on an EC site. CTB analysis can be useful for predicting what products customers will purchase next.
CTB analysis CTB analysis is a method to classify customers vietnam telegram database along three axes: "Category," "Taste," and "Brand." If Decile analysis and RFM analysis are methods to sell products efficiently, CTB analysis is slightly different and can be considered an analysis to understand customer needs and make purchasing predictions. Categories include major categories such as women's, men's, lifestyle, and food, medium categories such as fashion, interior, and kitchen, and further subdivided subcategories. Tastes include color, pattern, shape, texture, size, and so on.
Brands include general corporate brands, product brand images, and even characters used. By classifying customers by combining these three axes, you should be able to know the preferences of individual customers with a high degree of accuracy. To use CTB analysis, you need to add and record CTB to purchase history, but this condition can be met by building a system for collecting detailed information on an EC site. CTB analysis can be useful for predicting what products customers will purchase next.