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Bas on this data we can identify users

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The easiest to implement and use in the case of large customer bases. In the case of online stores. Scoring segmentation consists. In assigning points to users for specific behavior. Depending on the previously determin significance of these behaviors. The numerical value may be higher or lower.SegmentationThe most popular method of scoring segmentation is the RFM method, more on which below. What is an RFM analysis and on the basis of what indicators should it be prepar? RFM segmentation is a behavioral analysis method that differentiates customers bas on purchasing behavior.

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Detail dimensions that help to assess the value of a given customer in the RFM analysis are Recency determines how long ago the user’s last conversion in the online store took place. Bas on this data, we can identify users who have made purchases inr store quite recently or very long ago. The shorter the time since database the last purchase, the higher the value of the customer in this dimension. Frequency determines how often the user makes purchases in our store. who have made purchases from us once, make them occasionally and those who visit our store regularly. The time intervals that we can set will depend on the specifics of the products we offer or the industry.


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In which we operate. For example, the frequency of purchases in the FMCG industry will differ significantly from the frequency of purchases in the furniture industry. Monetary value identifies the customer by the value of their  purchases. As part of this dimension, we can analyze the user’s basket or, if we want to rely on more precise data, the final revenue from a given customer.RFM dimensions Bas on the specifics of the industry and the products or Business Lead services we offer, we should assign appropriate weight to each of the above dimensions.

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