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Fiverr Pro
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$
USD
I will build a customer churn prediction model for your business
About this Gig
I will build a customer churn prediction model to identify at-risk customers before they leave.
What you get:
- Churn prediction model with high recall (catch 75-80% of churners)
- Feature importance analysis (what drives customer loss)
- Business impact report with ROI estimates
- Actionable retention recommendations
- Clean, documented Python code
My approach:
1. Analyze your customer data and churn patterns
2. Engineer features that predict churn behavior
3. Build and optimize classification model
4. Focus on business value, not just accuracy
5. Deliver retention strategy with implementation guide
Recent project: Built telecom churn model with 78% churner detection and $196K estimated annual savings.
Tech stack: Python, Scikit-learn, Pandas, Random Forest, XGBoost
Perfect for: SaaS, telecom, subscription services, e-commerce
Let's reduce your customer loss and boost retention.
Programming language:
Python
Frameworks:
Scikit-learn
•
Panda
Other Data Science & ML Services I Offer
FAQ
What data do I need to provide?
Customer data with churn labels (who left vs stayed), demographics, usage patterns, and transaction history. CSV or Excel format.
How accurate will the predictions be?
Typically 70-80% accuracy with 75-80% recall (catching churners). I optimize for business impact, not just raw accuracy.
What if I have a small dataset?
I can work with datasets from 500+ customers, though 1,000+ gives better results. I'll advise on feasibility after reviewing your data.
Do you provide retention strategies?
Yes! Standard and Premium packages include actionable retention recommendations based on churn drivers identified in your data.
Can you deploy the model to production?
Premium package includes deployment guidance and API integration. I'll help you implement it in your existing systems.
