Three points to successful lead nurturing
Posted: Thu Jan 30, 2025 5:13 am
It is unclear why sales increased only in January 2017, but by conducting promotions to increase sales in January, and if the promotions prove successful, continuing similar measures to ensure stable sales in January the following year may be able to create a new mountain of sales in addition to those from the rainy season through summer and into March. Understanding customer purchasing behavior – RFM analysis RFM analysis is an analytical method that ranks customers based on three indicators.
The three indicators are : Recency: the number bosnia and herzegovina telegram database of days since the last order ; Frequency: the total number of purchases of that product ; Monetary: the total amount spent on that product . By conducting an RFM analysis and classifying customers into loyal, dormant, and lapsed customers, and by learning the purchasing trends of each rank, you can devise optimal promotion strategies for each. This is an essential analysis when considering measures to improve LTV in the future.
Let's take a look at Figure [4]. RFM analysis: Distribution of members' R (most recent purchase) x F (number of purchases) RFM analysis Average total purchase amount per member who has purchased a product over a maximum of 5 years and average purchase amount per purchase by members who have purchased a product What can be inferred from Figure [4] We can see that the proportion of dormant customers in category ① is high at 69.1%.
The three indicators are : Recency: the number bosnia and herzegovina telegram database of days since the last order ; Frequency: the total number of purchases of that product ; Monetary: the total amount spent on that product . By conducting an RFM analysis and classifying customers into loyal, dormant, and lapsed customers, and by learning the purchasing trends of each rank, you can devise optimal promotion strategies for each. This is an essential analysis when considering measures to improve LTV in the future.
Let's take a look at Figure [4]. RFM analysis: Distribution of members' R (most recent purchase) x F (number of purchases) RFM analysis Average total purchase amount per member who has purchased a product over a maximum of 5 years and average purchase amount per purchase by members who have purchased a product What can be inferred from Figure [4] We can see that the proportion of dormant customers in category ① is high at 69.1%.