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I will do shopify customer retention, cohort and rfm analytics
DataAnalyst
I am an expert ecommerce data analyst with 2 years of experience turning complex sales data into clear business strategies. Using SQL, Pandas, NumPy, and SciPy, I clean messy datasets and run rigorous...
About this Gig
Is your Shopify store losing repeat customers without showing you why?
Do you struggle to see which customers return, lapse, or drive the most value?
I turn Shopify customer data into clear retention, cohort, and RFM insights that reveal customer behavior and valuable segments.
My Shopify customer retention analysis helps you understand repeat purchases and make smarter decisions.
I am an ecommerce data analyst with 2 years of experience, specializing in customer analytics, data cleaning, statistics, and business intelligence.
I use Python, SQL, Excel, and Power BI to turn complex ecommerce data into useful insights.
I help Shopify businesses understand customers and act on reliable data.
SERVICES:
- shopify analytics and repeat-purchase analysis
- cohort analysis by month and customer group
- rfm analysis for customer value and behavior
- customer segmentation into actionable groups
- At-risk, loyal, returning, and lapsed customer analysis
WHY CHOOSE ME?
Ecommerce-focused analysis
Reliable calculations and clear reporting
Actionable insights in simple business language
Order now for clear, decision-ready Shopify customer retention insights.
My Portfolio
Other Data Analytics Services I Offer
FAQ
1. What data do you need for Shopify customer retention analysis?
I mainly need Shopify customer and order data in CSV or Excel format. Customer ID, order date, order value, and order status are useful for calculating repeat purchases, purchase frequency, and retention metrics. More complete history allows deeper analysis.
2. Can you analyze my Shopify analytics data?
Yes. I can analyze customer and order data to identify purchase patterns, repeat customers, sales contribution, customer behavior, and retention trends. The exact analysis depends on the fields and historical data available from your Shopify exports.
3. What does your Shopify customer retention service include?
My analysis can include new vs. returning customers, repeat purchase rate, purchase frequency, inactive customers, retention trends, customer value, cohort performance, and actionable customer insights based on your available historical data.
4. Can you perform cohort analysis for my Shopify store?
Yes. I can group customers into monthly or other suitable cohorts and compare their repeat purchases, retention rates, revenue contribution, and behavior over time. This helps identify which customer groups remain active and how retention changes across cohorts.
5. What is RFM analysis and can you provide it?
Yes. I use Recency, Frequency, and Monetary values to evaluate customer purchasing behavior. The analysis can help identify high-value, loyal, recent, inactive, and potentially at-risk customers from historical Shopify order data.
6. Can you create customer segmentation from Shopify data?
Yes. I can create meaningful customer groups based on purchasing behavior and project requirements. Examples may include Champions, Loyal Customers, Potential Loyalists, At Risk, and Lapsed Customers when the available data supports those classifications.
7. Can you build a Power BI dashboard from the analysis?
Yes. I can transform the customer analysis into an interactive Power BI dashboard with KPI cards, filters, charts, retention views, cohort tables, RFM results, and customer-level insights. The dashboard structure depends on the package selected and your data.
8. Can you identify customers who are at risk of becoming inactive?
Yes. I can identify inactive and at-risk customer groups using historical purchase behavior, recency, frequency, and other relevant indicators. My Shopify customer retention analysis focuses on historical patterns rather than claiming guaranteed future behavior.
9. What if my Shopify customer data is messy?
No problem. I can clean and prepare the data before analysis, including duplicate records, missing values, inconsistent dates, customer fields, and formatting issues. I use Excel and Python/Pandas to make the data suitable for reliable analysis.
10. What will I receive after the customer analysis?
Depending on your package, you can receive cleaned data, analytical results, customer segments, retention and cohort findings, RFM results, a Power BI dashboard, and a concise summary of important insights and patterns found in your ecommerce data.
