I will analyze customers using rfm, clv and retention analytics
I turn data into decisions, churn, forecasting, customer analytics
About this Gig
Struggling to understand who your best customers are and how to keep them?
I turn raw customer data into actionable insights using RFM segmentation, CLV analysis, and retention analytics so you can identify valuable customers and prioritize growth opportunities.
What I offer: Customer segmentation using RFM; Customer Lifetime Value (CLV) analysis; repeat-purchase and retention analysis; customer behavior insights; data cleaning and preparation; interactive visualizations; clear business recommendations and reports.
What you'll learn: Which customers generate the most value? Which segments deserve more attention? Where are your retention and revenue opportunities?
I focus on connecting customer behavior to business decisions, not simply producing charts or segments.
Tools: Python, Excel, Pandas, visualization and analytics tools.
Whether you run an e-commerce store, online business, or marketing project, I'll tailor the analysis to your dataset and goals.
Let's talk before ordering: Send me a brief description of your data and business objective. I'll review the scope and recommend the most suitable approach and package.
My Portfolio
FAQ
What data formats do you accept?
I can work with Excel (XLSX), CSV, Google Sheets, and other structured datasets.
What do I need to provide before placing an order?
Please provide your dataset and a brief description of your business goals. I will review the data and confirm the project scope before starting.
Can you analyze e-commerce customer data?
Yes. I specialize in customer analytics, including RFM segmentation, customer lifetime value (CLV), retention analysis, and marketing insights for e-commerce businesses.
Will I receive visualizations and reports?
Yes. All packages include visualizations and a summary of key insights. Standard and Premium packages provide more detailed analytics and recommendations.
Is my data kept confidential?
Absolutely. All client data is treated as confidential and will never be shared with third parties.

