3. 1. DEMOGRAPHIC
For example, typical B2C demographic traits include:
Age
Gender
Occupation
Income
Family status
Education
Meanwhile, a B2B audience might include the above, as well as:
Company size
Industry type
Role (within company)
Time in position
12. 5. NEEDS-BASED
Need-based customers are driven by a specific need. In other words,
they enter the store quickly, purchase what they need, and leave.
These customers buy for a specific need or occasion and are hard to
upsell. It is important to note that need-based customers can be easily
drawn to other businesses.
Therefore, it is important to initiate positive personal interaction with
this customer segment in order to retain them. Converting need-based
customers to loyal customers is attainable with proper positive
personal interactions.
13.
14. 6. TRANSACTIONAL
(RFM)
Recency. How recently a customer
purchased from your business.
Frequency. How often they
purchase from you.
Monetary. How much they spent.
18. To perform an RFM segmentation analysis,
export your customer data with the
following columns by customer:--
Customer name
First order date
Last order date
Number of orders
Total revenue
19. Example of RFM Scores by Segment
ORDER RECENCY SCORE
Order Recency = 5 (ordered in the last 30 days)
Order Recency = 4 (ordered in the last 31 to 60 days)
Order Recency = 3 (ordered in the last 61 to 120 days)
Order Recency = 2 (ordered in the last 121 to 180 days)
Order Recency = 1 (ordered more than 181 days ago)
ORDER FREQUENCY SCORE
Order Frequency = 5 (14 or more orders)
Order Frequency = 4 (between 9 and 13 orders)
Order Frequency = 3 (between 4 and 8 orders)
Order Frequency = 2 (between 2 and 4 orders)
Order Frequency = 1 (1 order)
MONETARY SCORE
Monetary = 5 (ordered more than 351)
Monetary = 4 (ordered between 201 and 350)
Monetary = 3 (ordered between 151 and 200)
Monetary = 2 (ordered between 51 and 150)
Monetary = 1 (ordered less than 50)