RFM Segmentation
Optimize revenue growth by identifying your high-value customers with RFM segmentation.
Core values of RFM Segmentation
Get inspired by the values of apps
Customer segmentation
Customer journey
Customer segment prediction
Customer churn reduction
Customer segmentation and tailored strategies
By segmenting customers, you can develop tailored strategies for each group. For example, you can provide exclusive services to Champions to establish a strong emotional connection, offer coupons to Potential customers to encourage more purchases, or provide special promotions to At-risk customers to win them back before it's too late.
The journey to being a champion
The journey can help you understand how customers become champions and tailor strategies to better meet their needs, potentially attracting new champions in the future.
Predictive model to find potential high-value customers
A predictive model is used to identify customers who are most likely to become high-value customers, based on factors such as purchased products, frequency of purchases, purchase value, and other relevant factors.
Customer segments transition over time
Customer purchasing behavior is dynamic and can lead to changes in RFM segments. By using Segment Transition analysis to monitor shifts in customer segments, you can adapt your marketing strategies accordingly. For example, if your previously loyal customers are now at-risk, you can launch a targeted campaign to win them back.
Data requirements
Order details dataset
Customers dataset
Products dataset
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