I will create a power bi dashboard for customer segmentation and data analysis
About this Gig
Are you struggling to understand your customer base and identify which customers drive the most value?
I specialize in creating Power BI dashboards using RFM (Recency, Frequency, Monetary) Analysis to help you understand customer behavior and make data-driven decisions.
What I offer:
Data cleaning and transformation using Power Query
RFM score calculation using DAX
Customer segmentation into meaningful groups (Champions, Loyal, At Risk, etc.)
Interactive Power BI dashboard with clear visuals
Actionable insights to improve customer retention and marketing strategy
Tools I use: Power BI, Excel, Power Query, DAX
I recently completed a similar project analyzing 60,000+ order lines for 18,484 customers, building an 11-segment RFM model with a 3-page interactive dashboard.
Whether you're a small business owner or a marketing team looking to boost retention, I'll help turn your raw data into clear, actionable insights.
Message me before ordering to discuss your specific requirements I'm happy to customize the package to fit your data and business needs.
Let's turn your data into decisions!
Analysis type:
Statistical Analysis
•
Descriptive Analysis
Expertise:
Business Insights
•
Churn & Retention
•
Cluster analysis
Technology:
Excel
•
Power BI
•
Power Query
Programming language:
SQL
•
DAX
FAQ
Do I need to share my raw data?
:Yes, please share your dataset (Excel/CSV) so I can clean, analyze, and build the dashboard accordingly
What software do I need to view the dashboard?
You'll need Power BI Desktop (free to download) to open and interact with the dashboard file, or I can provide a PDF/video walkthrough.
Can you customize the dashboard for my specific business?
Yes! Message me with your data and requirements before ordering, and I'll tailor the segmentation and visuals to fit your needs.
How long does delivery take?
Delivery time depends on the package selected — Basic (3 days), Standard (4 days), or Premium (6 days), depending on data complexity.

