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Is a 1-time customer worth the cost of acquisition? Usually, the answer is no.
Most e-commerce founders obsess over "New Customer" counts. But while analyzing 113,000 orders from the Olist marketplace, the data revealed a much more profitable truth: Repeat customers are twice as valuable as first-time buyers.
The average revenue per user (ARPU) for returning customers was more than double that of the single-purchase segment.
The Strategic Reality: When your "Returning" cohort is 2x more valuable, a 5% increase in retention is mathematically more impactful than a 20% increase in new traffic.
If you only look at "Total Revenue," you miss the multiplier.
If you only look at "Beautiful Dashboards," you miss the churn crisis.
I don't just build charts. I find the cohort multipliers that tell you exactly where to spend your next marketing dollar.
Founders: Do you know your "Repeat vs. 1-Time" revenue multiplier? If you're only tracking totals, you're flying blind.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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This is the question I explored in my MTN Customer Churn Analysis project, a personal project I built to strengthen my data analytics skills and showcase my work in my portfolio.
Using Power BI, I developed an interactive dashboard to analyze customer behavior, revenue performance, device sales, customer satisfaction, and churn patterns.
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📊 29.16% customer churn rate
💰 ₦5.28M in revenue lost due to churn
📈 Analysis of customer churn reasons, including poor network service, costly data plans, and better offers from competitors.
My goal was to transform raw data into meaningful insights that could help a business better understand its customers, identify potential problems, and make more informed decisions.
Through this project, I applied my skills in data analysis, data visualization, and Power BI dashboard development to explore a real-world business problem.
This is one step in my journey as a data analyst. I'm committed to learning, building more projects, and continuously improving my analytical skills
🔗 Explore my portfolio and projects:
https://lnkd.in/eDpZUPkm
I'd appreciate your feedback, suggestions, and the opportunity to connect with other data professionals.
#PowerBI #DataAnalytics #CustomerChurn #PortfolioProject #DataVisualization
Most Shopify stores do not lose sales on the product page, they lose them at checkout. Every extra field, every forced account signup, every surprise shipping fee at the last step gives the buyer one more reason to leave. I always audit checkout in this order: guest checkout on, shipping cost shown early, and only the fields that are truly needed. One store I reviewed cut its checkout steps from five to two and the abandoned carts dropped straight away. When did you last complete a test purchase on your own store, start to finish? #Shopify #Ecommerce #ConversionRate