Marketing Funnel & Conversion Performance Analysis
🔍 About the Task
In this task, you will analyze marketing and lead funnel data to understand how users move from visitors → leads → customers.
This type of analysis is core work in startups, digital marketing agencies, SaaS companies, and sales teams, where improving conversion rates directly increases revenue.
Your goal is to help a business answer questions like:
- Where are users dropping off in the funnel?
- Which channels bring high-quality leads?
- How can conversion rates be improved?
- Which stages need optimization?
✅ What You’ll Do
- Clean and structure funnel or lead data
- Analyze:
- Traffic-to-lead conversion
- Lead-to-customer conversion
- Drop-off points at each funnel stage
- Compare performance across channels, campaigns, or time periods
- Provide clear recommendations to improve conversions
(Choose tools based on how you want to visualize and analyze the funnel.)
🛠️ Tools You Can Use
Choose tools based on how you want to analyze, automate, or visualize data — just like in real analytics
Power BI – https://powerbi.microsoft.com/
Used for building interactive dashboards and presenting funnel performance to stakeholders.
Tableau – https://www.tableau.com/
Used for advanced visual storytelling and executive-level dashboards.
Jupyter Notebook – https://jupyter.org/
Used for exploratory data analysis, funnel metrics, and documenting analytical logic.
VS Code – https://code.visualstudio.com/
Used for structured analysis, scripts, and working with larger datasets or projects.
🎯 Skills You’ll Gain
- Funnel and conversion analysis
- Marketing & growth analytics
- KPI tracking and performance metrics
- Business-focused insight generation
- Data-driven decision making
These skills are highly valued in marketing analytics and growth roles.
📁 Dataset Guidance
You may use datasets related to website traffic, leads, campaigns, or funnels that reflect real marketing scenarios.
Recommended Datasets (Optional)
- 📊 Google Analytics – Customer Revenue Prediction (Kaggle)
https://www.kaggle.com/c/google-analytics-customer-revenue-prediction
Website traffic, sessions, channels, and conversion-related data — excellent for funnel and performance analysis. - 📈 Bank Marketing Campaign Dataset (UCI Machine Learning Repository)
https://archive.ics.uci.edu/dataset/222/bank+marketing
Real-world campaign and conversion data used widely for marketing and funnel analysis. - E-Commerce User Behavior Dataset (Kaggle)
- Includes session, product views, and purchase info — good for funnel analysis:
- https://www.kaggle.com/datasets/mkechinov/ecommerce-behavior-data-from-multi-category-store
⚠️ You are not limited to these datasets.
You may also use simulated, anonymized, or business-specific data as long as it represents a real marketing funnel or conversion problem.
📤 Final Deliverable
- A funnel analysis dashboard or report
- Conversion rates at each stage
- Key drop-off insights
- Actionable recommendations to improve conversions
🚀 Why This Task Is Powerful
- This is directly billable analytics work
- Helps interns move into:
- Growth analytics
- Marketing analyst roles
- Freelance analytics projects
- Easy to sell as a service to:
- Startups
- Local businesses
- Agencies
- This task teaches interns how data turns into revenue, not just charts.
📢 Showcase Your Work
Once you complete this task:
- Upload your project to a public GitHub repository with proper documentation (README, files, dashboard links).
- Share a professional post on LinkedIn highlighting:
- What problem you worked on
- Key insights or outcomes
- Tools used and learnings
Please tag and follow Future Interns on LinkedIn so your work can be recognized and shared:
👉 https://www.linkedin.com/company/future-interns/
Sharing your work publicly helps build a verifiable portfolio, increases professional visibility, and reflects real-world industry practice.