Diwali Engagement Playbook is now 
RFM Segmentation groups customers based on their Recency, Frequency, and Monetary value to determine which segments are most likely to respond to marketing efforts.
Formula:
- Recency (R): How recently a customer made a purchase
- Frequency (F): How often they purchase
- Monetary (M): How much they spend
Example:
A customer who bought last week (high recency), buys monthly (high frequency), and spends $300 per order (high monetary) scores highest.
Why Does RFM Segmentation Matter?
- Helps identify loyal vs at-risk customers
- Enables lifecycle marketing
- Drives retention and upselling efforts
Steps to Build RFM Segments:
- Assign scores (1-5) for R, F, and M
- Combine scores to categorize customers (e.g., 555 = top tier)
- Create campaigns tailored to each tier
FAQs
How is RFM different from other segmentation methods?
It focuses purely on transactional behavior.
Can RFM be automated?
Yes, with most analytics and CDP tools.
What is a good RFM score?
Depends on your distribution; higher scores indicate more engaged customers.
Can RFM inform product recommendations?
Yes, by tying frequent buyers to trending or high-value items.
Take Action
Use Netcore’s Ecommerce Marketing Platform to implement effective RFM segmentation and maximize CLTV.
Sure! Below is the continuation and completion of the glossary entries for all the shortlisted terms, following your specified format strictly. Each entry includes: URL, Definition, Formula (if relevant), Example, Importance, Influencing Factors, How to Improve, Related Terms, FAQs, and CTA.
