Optimizing Marketing Strategies through Customer Data Analysis
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Data Magic: ✨ We'll start by collecting and tidying up customer data, which includes details like customer IDs, gender, age, annual income, and spending score.
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Cluster Power: ✨ Using the mighty K-means clustering, we'll group customers with similar characteristics to help tailor marketing strategies.
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Valuing Customers: ✨ We'll compute the Customer Lifetime Value (CLV) for each customer. It's all about understanding who's more valuable in the long run.
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Demographics Dive: ✨ Let's dive into demographics—age, gender, income, spending habits—to reveal how customer segments differ.
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Visual Stories: ✨ Expect beautiful visualizations with Python's Seaborn and Matplotlib to showcase insights on customer segments, demographics, and CLV.
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Smart Moves: ✨ Recommendations galore! We'll provide insights to supercharge marketing, from segment focus to budget allocation.
- Data Jedi Skills: Data Cleaning and Prep
- Clustering Charm: K-means Clustering
- CLV Magic: Customer Lifetime Value Calculation
- Demographic Insights: Demographic Analysis
- Visual Magic: Visualization (Seaborn, Matplotlib)
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Personalized Campaigns: Get ready to craft laser-targeted marketing campaigns with customer segmentation.
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Value-Based Focus: We'll reveal which customer segments bring in the gold based on CLV.
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Demographic Gems: Dive deep into demographic insights to understand your customer groups.
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Optimized Strategies: Armed with insights, you can now optimize marketing strategies for skyrocketing sales and profit.
- Clone Me: Begin by cloning this repository.
- Install Goodies: Install necessary dependencies using
npm installorpip install. - Run the Magic: Run the project locally using
npm startorpython app.py.
This project is licensed under the MIT License - see the LICENSE file for details.
For inquiries, questions, or just a friendly chat, feel free to reach out to piinartp@gmail.com. We'd love to hear from you!