Shopify Sales & Customer Behavior Analysis Dashboard
📊 Project Objective: The goal of this project is to develop an interactive Power BI dashboard that analyzes Shopify sales data to uncover actionable insights into transaction performance, customer purchasing behavior, and long-term customer value. This helps stakeholders make informed, data-driven decisions to optimize sales strategy, product planning, and customer engagement.
🔍 Scope of Analysis:
1.Transactions Performance
- Net Sales
- Total Quantity Sold
- Average Order Value
2.Customer Purchase Behavior
- Unique Customers
- Single vs. Repeat Customers
3.Customer Retention & Value Metrics
- Lifetime Value (LTV)
- Repeat Purchase Rate
- Purchase Frequency
4.Regional & Time-Based Insights
- Province- and City-wise Sales
- Hourly and Daily Trends
5.Payment Gateway Analysis
- Popular vs. Least Used Payment Methods
6.Product Type Performance
- Top-performing Categories and Revenue Distribution
🧠 Project Methodology: The project followed a structured data analytics life cycle, as outlined below:
- Requirement Gathering:
- Identified key business questions and data-driven goals from stakeholders.
- Data Walkthrough & Connection:
- Explored Shopify dataset, mapped fields, and connected the source in Power BI.
- Data Cleaning & Quality Check:
- Removed duplicates, handled nulls, standardized columns, and ensured accurate types.
- Data Modeling:
- Created relationships between tables to support efficient querying and visuals.
- DAX Calculations:
- Built calculated columns and measures to support KPIs such as Net Sales, Repeat Rate, LTV, and more.
- Dashboard Development:
- Clean layout with slicers, charts, KPI cards, and filters.
- Implemented dynamic measure selection and drill-through features.
- Insights Generation:
- Highlighted key trends, anomalies, and patterns in customer behavior and revenue flow.
📘 Terminology Reference: A separate glossary file Shopify - "Data Terminology.docx" is included to define all data fields and business metrics, ensuring clarity for non-technical stakeholders.
📁 Project Files: File Description
- shopify.pbix (Main Power BI dashboard file)
- Shopify PPT.pptx (Presentation of project flow, visuals, and key insights)
- Shopify - Data Terminology.docx (Glossary of dataset fields and business definitions)
📌 Tools & Technologies Used:
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Power BI – Data modeling and interactive dashboard creation
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DAX (Data Analysis Expressions) – Custom measures and logic
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Shopify Dataset – Sales, customer, and transaction data
✅ Outcome: The dashboard enables:
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Real-time tracking of sales performance and customer trends
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Deeper understanding of customer retention and lifetime value
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Granular analysis by product type, payment method, and location
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Informed marketing, operational, and inventory decisions
