Customer Cohort Retention, RFM Segmentation and Churn AnalysisPablo Pavon
Find out which customers come back, which ones you are losing, and where to focus your marketing budget.
Scope: monthly cohort retention curves, RFM segmentation (recency, frequency, monetary value), a customer segment list (CSV) you can upload to your email or ads tool, and a short report with the key findings up front; 2 rounds of revisions.
Before the analysis I clean the data (test orders, refunds, duplicates) and reconcile totals with your source, so the numbers match your shop. You also get the Python and SQL code, so the analysis can be repeated next quarter.
Background: behavioral segmentation and churn analysis in Python at Foundry, 10+ years in data and business analysis.
The cover image is a case study built on synthetic data.
Customer Cohort Retention, RFM Segmentation and Churn AnalysisPablo Pavon
Starting at$160
Duration1 week
Tags
Python
Find out which customers come back, which ones you are losing, and where to focus your marketing budget.
Scope: monthly cohort retention curves, RFM segmentation (recency, frequency, monetary value), a customer segment list (CSV) you can upload to your email or ads tool, and a short report with the key findings up front; 2 rounds of revisions.
Before the analysis I clean the data (test orders, refunds, duplicates) and reconcile totals with your source, so the numbers match your shop. You also get the Python and SQL code, so the analysis can be repeated next quarter.
Background: behavioral segmentation and churn analysis in Python at Foundry, 10+ years in data and business analysis.
The cover image is a case study built on synthetic data.
$160