Representative methods of customer analysis

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This analysis is also useful for determining targets and setting personas. Segmentation analysis is often used to classify existing customers, but it can also be used to analyze potential customers with no purchase history. Grouping customers based on attribute information such as gender and age group, and examining the appropriate approach to potential customers, is an effective means of customer analysis. Decile Analysis Decile analysis is a method to rank customers into 10 levels based on the amount of their purchases.


It is easier to understand if you think of it as ranking vietnam telegram database based on the contribution of each customer to sales. Using this analysis, you can easily find out which customer segments are contributing to sales by analyzing the purchasing ratio and sales composition ratio of each group. By performing a decil analysis, you can implement effective marketing measures that focus on groups that contribute the most to sales. Also, if you determine that there is a bias in the sales structure, you can identify it as an issue and take measures to improve it.


However, with decil analysis, problems can arise, such as customers who purchased high-value items many years ago continuing to remain in the top group for a long time. When using decil analysis, it is necessary to take measures such as eliminating such factors. RFM analysis RFM analysis is a method to rank customers based on three axes: "Recency (most recent purchase date)," "Frequency (purchase frequency)," and "Monetary (purchase amount)." It is characterized by adding factors such as the most recent purchase date and frequency, rather than judging only by purchase amount like decibel analysis.