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RFM Segmentation Analysis is a data-driven customer segmentation technique used by businesses to understand and categorize their customers based on their past purchasing behavior.
The primary objective of RFM analysis is to efficiently identify and target distinct customer segments for marketing campaigns, aiming to retain valuable customers, engage existing ones, and re-engage those who have left.
This technique relies on three important components: Recency (days since the last transaction), Frequency (total number of transactions), and Monetary Value (total amount spent).
This Template is designed exclusively for Google Analytics 4 Ecommerce Events in Google BigQuery and Looker Studio.
For this professional-grade level of analysis, you will need to preprocess your GA4 data. To accomplish this, you will have to create some views or tables in your BigQuery.
QueryBuilder generates complex GA4 queries for you easily.
This way, you do not need any prior experience, and you ensure that access to your data is not shared with anyone but yourself.
🡒 You gain access to our resources such as Template Google Sheet and 1click report generator for 7 days from the date of purchase, subject to fair use as outlined in the Templates License Agreement.
a) Edit access to the Google BigQuery Console for executing SQL statements.
b) Google Analytics 4 export previously activated in BigQuery. Learn how here.
c) Google Analytics 4 Ecommerce events set up.
SKU | RFM-CSG-GA4-AUT-BQ-LS-TEM |
Slug | rfm-customer-segmentation-ga4-bq-ls-template |
Product Type | Templates |
Category | Customer Segmentation |
Tags | BigQuery, ga4, Marketing, RFM |
Audience | |
Business Type | |
Setup Time | 5' |
Setup Difficulty | 2 | Minor technical knowledge needed — Run SQL Queries |
Tech Used | Google Analytics 4 - Google BigQuery - Looker Studio |
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