[Update] Recency, Frequency, Monetary Value (RFM) Definition | rfm – Pickpeup

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What Is Recency, Frequency, Monetary Value (RFM)?

Recency, frequency, monetary value is a marketing analysis tool used to identify a company’s or an organization’s best customers by measuring and analyzing spending habits.

Key Takeaways

  • Recency, frequency, monetary value (RFM) is a marketing analysis tool used to identify a firm’s best clients based on the nature of their spending habits.
  • An RFM analysis evaluates clients and customers by scoring them in three categories: how recently they’ve made a purchase, how often they buy, and the size of their purchases.
  • RFM analysis helps firms reasonably predict which customers are likely to purchase their products again, how much revenue comes from new (versus repeat) clients, and how to turn occasional buyers into habitual ones.

Understanding Recency, Frequency, Monetary Value

The RFM model is based on three quantitative factors:

  1. Recency: How recently a customer has made a purchase
  2. Frequency: How often a customer makes a purchase
  3. Monetary Value: How much money a customer spends on purchases

RFM analysis numerically ranks a customer in each of these three categories, generally on a scale of 1 to 5 (the higher the number, the better the result). The “best” customer would receive a top score in every category.

These three RFM factors can be used to reasonably predict how likely (or unlikely) it is that a customer will do business again with a firm or, in the case of a charitable organization, make another donation.

The concept of recency, frequency, monetary value (RFM) is thought to date from an article by Jan Roelf Bult and Tom Wansbeek, “Optimal Selection for Direct Mail,” published in a 1995 issue of Marketing Science. RFM analysis often supports the marketing adage that “80% of business comes from 20% of the customers.”

Let’s look more closely at how each RFM factor works, and how companies might strategize on the basis of it.

Recency

The more recently a customer has made a purchase with a company, the more likely they will continue to keep the business and brand in mind for subsequent purchases. Compared with customers who have not bought from the business in months or even longer periods, the likelihood of engaging in future transactions with recent customers is arguably higher.

Such information can be used to get recent customers to revisit the business and spend more. In an effort not to overlook lapsed customers, marketing efforts might be made to remind them that it’s been a while since their last transaction, while offering them an incentive to resume buying.

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Frequency

The frequency of a customer’s transactions may be affected by factors such as the type of product, the price point for the purchase, and the need for replenishment or replacement. If the purchase cycle can be predicted — for example when a customer needs to buy more groceries — marketing efforts may be directed towards reminding them to visit the business when staple items run low.

Monetary Value

Monetary value stems from how much the customer spends. A natural inclination is to put more emphasis on encouraging customers who spend the most money to continue to do so. While this can produce a better return on investment in marketing and customer service, it also runs the risk of alienating customers who have been consistent but may not spend as much with each transaction.

Nonprofit organizations, in particular, have relied on RFM analysis to target donors, as people who have been the source of contributions in the past are likely to make additional gifts.

Significance of Recency, Frequency, Monetary Value

RFM analysis allows a comparison between potential contributors or clients. It gives organizations a sense of how much revenue comes from repeat customers (versus new customers), and which levers they can pull to try to make customers happier so they become repeat purchasers.

Despite the useful information that is acquired through RFM analysis, firms must take into consideration that even the best customers will not want to be over-solicited, and the lower-ranking customers may be cultivated with additional marketing efforts. It works as a snapshot of the clientele and as a tool to prioritize nurturing, but it should not be taken as a license to simply do more of the same-old, same-old sales techniques.

Why Is the Recency, Frequency, Monetary Value (RFM) Model Useful?

The recency, frequency, monetary value (RFM) model is based on three quantitative factors namely recency, frequency, and monetary value. Each customer is ranked in each of these categories, generally on a scale of 1 to 5 (the higher the number, the better the result). The higher the customer ranking, the more likely it is that they will do business again with a firm. Essentially, the RFM model corroborates the marketing adage that “80% of business comes from 20% of the customers.”

What Is Recency?

Recency factor is based on the notion that the more recently a customer has made a purchase with a company, the more likely they will continue to keep the business and brand in mind for subsequent purchases. This information can be used to remind recent customers to revisit the business soon to continue meeting their purchase needs.

What Is Frequency?

The frequency of a customer’s transactions may be affected by factors such as the type of product, the price point for the purchase, and the need for replenishment or replacement. Predicting this can assist marketing efforts directed at reminding the customer to visit the business again.

What Is Monetary Value?

Monetary value stems from how much the customer spends. A natural inclination is to put more emphasis on encouraging customers who spend the most money to continue to do so. While this can produce a better return on investment in marketing and customer service, it also runs the risk of alienating customers who have been consistent but have not spent as much with each transaction.

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SQL Thực Chiến – Phân loại khách hàng bằng RFM Phần 1


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