The Synerise AI Developer Hub

Welcome to the Synerise AI developer hub. You'll find comprehensive guides and documentation to help you start working with Synerise AI API as quickly as possible, as well as support if you get stuck.
Let's jump right in!

RFE Segmentation

Introduction

In order to differentiate customers from data set RFE method uses three different attributes:

Recency of the last purchase (R) - refers to the interval between the time that the latest customer's page visit happens and current date. The shorter the interval between current date and last last visit, the bigger R is.
Frequency (F) - refers to the number of page visits in a particular period. The more frequent customer visits company's page, the bigger her F score is.
Engagement value (E) - refers to number of page impressions generated by the customer. The bigger the number of page impressions, the bigger E score is.

How does RFE Analysis work?

First, customers are divided into 5 equal sized groups (20% in each group).
Customers are then given an R, F, & M score from 1 to 5. Using a score of 1 to 5, 20% of the most recent customers get an R score of 1. The second most recent get an R score of 2 and this continues until all 5 groups receive a score. The 5 groups are reorganized to repeat the procedure for the F & E scores.

Customers who viewed recently are frequent customers assigned a score of 555 – Recency (R) – 5, Frequency (F) – 5, Engagement (E) – 5 -They are your best customers.
Customers who didn’t site view , and didn’t site view a long time ago – assigned a score of 111. Recency (R) – 1, Frequency (F) – 1, Engagement (E)

Once classification is done we split customer base into 11 clusters:

Advantages of using RFE Analysis

Advantages of applying RFM Segmentation to Your business:

  • RFE makes email marketing better because it automates moving people between segmented list if they move from one RFM segment to another one.
  • RFE is great for new product launches, especially when you want to get initial traction and feedback. You have a possibility to contact with your best, and the most loyal customers even before creating a product.
  • RFE increases user engagement and loyalty by sending personalized promotions, and educational content which will increase their relationship with your brand.
  • RFE minimizes marketing campaign costs and improve Rol by focusing on a smaller segment of customers will significantly reduce costs, allow you to do more experimentation, and make decision based on data.
  • RFE is a good idea for retargeting campaigns and remarketing especially when you want to export a part of your customers to another campaign management solution.

RFE Segmentation


Suggested Edits are limited on API Reference Pages

You can only suggest edits to Markdown body content, but not to the API spec.