Identify your best customers. Identify new ways to market to them according to their buying behaviors using personalized emails or focused paid advertising.
Express Analytics’ RFM segments offer a strong baseline recommendation according to verified ecommerce customer acquisition and nurturing strategies to increase sales.
Increase Your Sales with RFM Model
Understand, Segment, Engage, and Repeat
Who Benefits from RFM Customer Segmentation?
Why Does Your Business Need RFM Analysis for Customer Segmentation?
Increase customer engagement and retention with the RFM model
Steps to Conduct RFM Analysis in Marketing
The RFM analysis contains 4 crucial stages
Data collection
Collect transactional data such as order value, purchase dates, and frequency.
Scoring
Allocate scores for recency, frequency, and monetary value, generating a complete RFM score.
Segmentation
Classify customers into categories like recent purchasers, at-risk buyers, and VIPs.
Customized strategies
Deploy personalized marketing strategies for every segment to increase engagement and revenue.
Why Choose Express Analytics' RFM Analysis Solution?
- Easy-to-use dashboards for ideal RFM segmentation.
- Visualize the behaviors of customers and segment performance with ease.
- Extend relationships with high-quality customers.
- Reach audiences with appropriate messages across several external channels.
- Automatically determines customer touchpoints from all connected stores and updates segment audiences daily using the RFM model.
Lets Connect –
Major Features of the RFM Model
How Do RFM Model Services Help Product Managers?
- Identify behavior of repeat customers
RFM analysis lets you find the customers that add value to the business.
- Improve product adoption
Analysis of users’ touchpoints with the product can help find successful usage ranges.
- Create product roadmapsÂ
Helps in creating a plan, roadmap and feature definition of product lines or products.
