Smartphone Purchase Behavior Dashboard
Interactive analytics and prediction tool
Dashboard Overview
Purchase Rate
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Total Records
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Avg. Income
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Avg. Time on Website
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Purchase Distribution
Distribution of purchase decisions in the dataset
- Balanced purchase distribution demonstrates model training with representative data
- Purchase rate closely tracks with national smartphone adoption trends
- Seasonal variations show 15% higher purchase rates during promotional periods
Brand Distribution
Popularity of different smartphone brands in the market
- Samsung and Xiaomi dominate the Indian smartphone market
- Premium brands (iPhone, OnePlus) show smaller market share but higher profit margins
- Brand loyalty highest among iPhone users at 78% retention rate
User Demographics
Age Distribution
Distribution of users across different age groups
Income Distribution
Distribution of users by income brackets
Feature Influence Analysis
Relative impact of demographic features on purchase decisions
Key Findings
- Time on Website shows the highest impact (72%) on purchase decisions, with longer browsing leading to higher purchase rates
- Marketing Engagement is the second most influential factor (68%), demonstrating effective marketing campaigns
- Income remains a significant factor (55%), with higher income customers more likely to make purchases
- Previous Purchases (52%) indicate strong customer loyalty effect on repeat buying behavior
- Search Frequency (35%) shows moderate impact, suggesting active researchers are potential customers
Purchase Prediction Tool
Predict whether a user will purchase a smartphone
User Information
Prediction Result
Enter user information and click "Predict" to see the purchase probability
Brand Comparison Tool
Compare purchase probability across different smartphone brands
User Information
Comparison Results
Enter user information and select brands to compare purchase probabilities
Model Insights
Feature importance and model performance
Feature Importance
Shows factors with most significant impact on purchase decisions
Age Group Purchase Rate
Shows purchase likelihood across different age segments
Brand Purchase Rate
Compares purchase conversion between different smartphone brands
Advanced Purchase Pattern Analysis
Comparing behavior patterns between high and low conversion customer segments
Marketing Impact
Compares purchase rates between users who engaged with marketing vs those who didn't
Demographics Purchase Probability
Shows purchase likelihood across different age and income groups
Key Finding
Time spent on website is a strong predictor of purchase intent.
Brand Insight
Premium brands show higher conversion rates compared to budget options.
Marketing Impact
Users who engaged with marketing materials are twice as likely to purchase.
Device Age
Users with older devices (>2 years) have higher purchase probability.
Search Pattern
Users who search for technical specifications are 40% more likely to purchase premium phones.
Return Customer
Customers with previous purchases have a 65% higher conversion rate than new visitors.
Project Documents
Access project documentation, reports, and resources