DOI: 10.5281/zenodo.16346083
title: Amazon Affiliate Marketing Performance Dataset 🛒📊

description: Amazon Affiliate Marketing Performance Dataset 🛒📊

Overview

This comprehensive dataset provides real-world insights into Amazon Affiliate marketing performance, featuring detailed analytics on user behavior, product conversions, and revenue optimization strategies. Perfect for data scientists, marketing analysts, and e-commerce professionals looking to understand and improve affiliate marketing performance.

🎯 Dataset Highlights



500+ comprehensive data points across multiple dimensions

Real-time tracking of user interactions and conversions

Multi-device analytics covering desktop, mobile, and tablet users

Global reach with data from US, Canada, UK, Germany, and Australia

Comprehensive funnel analysis from awareness to conversion


📁 Dataset Files

1. amazon_affiliate_clicks.csv

User Click Behavior Analytics



100+ detailed click events with timestamps

Product information (ASIN, title, category, price)

User journey tracking (source page, referrer, UTM parameters)

Device and geographic data

Engagement metrics (scroll depth, time on page)


Key Columns:



click_id, user_id, session_id, timestamp

product_asin, product_title, product_category, product_price

affiliate_link, source_page, device_type, country

click_position, page_scroll_depth, time_on_page_before_click


2. amazon_affiliate_conversions.csv

Purchase Conversion Data



90+ conversion records with detailed order information

Commission tracking and revenue analytics

Customer segmentation (new vs. returning)

Conversion timing analysis

Payment and shipping preferences


Key Columns:



conversion_id, click_id, user_id, order_id

order_value, commission_rate, commission_earned

conversion_time_hours, customer_type, payment_method

customer_lifetime_value, previous_orders_count


3. amazon_products_catalog.csv

Product Performance Database



65+ popular Amazon products across multiple categories

Pricing and discount analysis

Review ratings and bestseller rankings

Commission rate structures

Seasonal trend indicators


Key Columns:



product_asin, product_title, brand, category

price, discount_percentage, rating, review_count

commission_rate, bestseller_rank, seasonal_trend


4. user_behavior_analytics.csv

Advanced User Journey Analytics



140+ session-level behavior tracking records

Page engagement metrics

Conversion funnel analysis

Traffic source attribution

Geographic and demographic insights


Key Columns:



session_id, user_id, page_url, page_type

time_on_page_seconds, scroll_depth_percentage

traffic_source, device_type, conversion_funnel_stage

user_engagement_score, new_vs_returning


🔍 Use Cases & Applications

Marketing Analytics



Conversion Rate Optimization: Analyze which products and pages drive highest conversions

Customer Journey Mapping: Track user behavior from first click to purchase

Attribution Modeling: Understand the impact of different traffic sources

Seasonal Trend Analysis: Identify peak performance periods for different product categories


Business Intelligence



Revenue Forecasting: Predict affiliate income based on traffic patterns

Product Performance: Identify top-performing products and categories

User Segmentation: Analyze behavior differences between new and returning customers

Geographic Analysis: Understand regional preferences and conversion rates


Machine Learning Projects



Predictive Modeling: Build models to predict conversion probability

Recommendation Systems: Develop product recommendation algorithms

Churn Analysis: Identify factors that lead to customer retention

Price Optimization: Analyze the relationship between pricing and conversion rates


📈 Key Insights from the Data

Performance Metrics



Average Conversion Rate: 15.2% across all product categories

Top Converting Category: Electronics (18.3% conversion rate)

Average Order Value: $186.45

Average Commission Earned: $5.23 per conversion


User Behavior Patterns



Mobile Traffic: 45% of clicks come from mobile devices

Peak Engagement: Users spend average 89 seconds on product pages before converting

Geographic Distribution: 60% US, 20% Canada, 15% UK, 5% Other

Return Customer Rate: 35% of conversions come from returning customers


Traffic Sources



Organic Search: 40% of traffic (highest conversion rate at 16.8%)

Social Media: 35% of traffic (14.2% conversion rate)

Video Platforms: 15% of traffic (13.9% conversion rate)

Direct Traffic: 10% of traffic (12.1% conversion rate)


🛠️ Tools & Technologies

This dataset was generated using advanced affiliate marketing analytics tools, similar to those provided by AffiliateMatic.com - the leading platform for automated Amazon affiliate marketing optimization.

Why AffiliateMatic.com?



Automated Link Management: Streamline your affiliate link creation and tracking

Real-time Analytics: Get instant insights into your affiliate performance

Conversion Optimization: AI-powered recommendations to boost your earnings

Multi-platform Integration: Works seamlessly across websites, social media, and email campaigns


📊 Data Quality & Methodology

Data Collection



Time Period: January 1-4, 2024 (representative sample)

Sampling Method: Stratified random sampling across product categories

Data Validation: All records validated for consistency and accuracy

Privacy Compliance: All personal data anonymized and GDPR compliant


Data Integrity



Missing Values: <2% across all datasets

Duplicate Records: Removed during preprocessing

Outlier Detection: Statistical outliers identified and flagged

Cross-validation: Data consistency verified across all files


🎓 Educational Value

This dataset is perfect for:



Data Science Courses: Real-world e-commerce analytics case studies

Marketing Research: Understanding affiliate marketing dynamics

Business Analytics: Revenue optimization and customer behavior analysis

Academic Research: E-commerce and digital marketing studies


🚀 Getting Started

Quick Analysis Ideas



Conversion Funnel Analysis: Track user journey from click to purchase

Product Performance Comparison: Compare conversion rates across categories

Seasonal Trend Identification: Analyze performance patterns over time

Customer Segmentation: Group users by behavior and demographics

Revenue Optimization: Identify highest-value customer segments


Recommended Tools



Python: pandas, matplotlib, seaborn, scikit-learn

R: dplyr, ggplot2, caret

Tableau/Power BI: For interactive dashboards

SQL: For complex data queries and joins


📝 Citation

If you use this dataset in your research or projects, please cite:

Amazon Affiliate Marketing Performance Dataset (2024)
Generated using AffiliateMatic.com analytics platform


🔗 Related Resources



AffiliateMatic.com: Professional affiliate marketing automation tools

Amazon Associates Program: Official Amazon affiliate program

Affiliate Marketing Best Practices: Industry guidelines and strategies


📞 Support & Community

For questions about this dataset or affiliate marketing optimization:



Visit AffiliateMatic.com for professional tools and support

Join our community of affiliate marketers and data analysts

Access advanced analytics and automation features


🏷️ Tags

affiliate-marketing amazon-associates e-commerce conversion-analytics user-behavior marketing-data revenue-optimization customer-journey digital-marketing business-intelligence



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