E-commerce Analytics and Optimization
( 30 Modules )

Module #1
Introduction to E-commerce Analytics
Overview of e-commerce analytics, importance of data-driven decision making, and course objectives

Module #2
E-commerce Metrics and KPIs
Understanding key performance indicators (KPIs) such as conversion rates, average order value, and customer lifetime value

Module #3
Google Analytics for E-commerce
Setting up and configuring Google Analytics for e-commerce tracking, including goal tracking and e-commerce reporting

Module #4
Data Collection and Integration
Collecting and integrating data from multiple sources, including website interactions, social media, and customer relationship management (CRM) systems

Module #5
Customer Segmentation and Profiling
Segmenting customers based on behavior, demographics, and preferences, and creating customer profiles

Module #6
Customer Journey Mapping
Visualizing the customer journey, identifying pain points, and optimizing the customer experience

Module #7
A/B Testing and Experimentation
Designing and executing A/B tests, including hypothesis testing and results analysis

Module #8
Conversion Rate Optimization
Identifying and optimizing conversion rate bottlenecks, including landing page optimization and checkout process optimization

Module #9
Search Engine Optimization (SEO) for E-commerce
Optimizing e-commerce sites for search engines, including keyword research, on-page optimization, and technical SEO

Module #10
Email Marketing Analytics
Analyzing email marketing campaigns, including open rates, click-through rates, and conversion rates

Module #11
Social Media Analytics
Analyzing social media campaigns, including engagement rates, conversion rates, and return on investment (ROI)

Module #12
Paid Advertising Analytics
Analyzing paid advertising campaigns, including cost per click (CPC), cost per acquisition (CPA), and return on ad spend (ROAS)

Module #13
Inventory Management and Optimization
Analyzing and optimizing inventory levels, including demand forecasting and stockout prevention

Module #14
Price Optimization and Dynamic Pricing
Optimizing prices using data analytics, including dynamic pricing and price elasticity analysis

Module #15
Content Analytics and Optimization
Analyzing and optimizing content, including product descriptions, product recommendations, and content personalization

Module #16
Mobile E-commerce Analytics and Optimization
Optimizing e-commerce experiences for mobile devices, including mobile-specific metrics and KPIs

Module #17
E-commerce Analytics Tools and Technologies
Overview of e-commerce analytics tools, including Google Analytics, Adobe Analytics, and specialty tools like Hotjar and Crazy Egg

Module #18
Advanced Analytics Techniques for E-commerce
Using advanced analytics techniques, including predictive analytics, machine learning, and data mining

Module #19
E-commerce Analytics Case Studies
Real-world case studies of successful e-commerce analytics and optimization projects

Module #20
Implementing E-commerce Analytics and Optimization
Implementing e-commerce analytics and optimization projects, including project planning, stakeholder management, and resource allocation

Module #21
Measuring E-commerce Analytics ROI
Measuring the return on investment (ROI) of e-commerce analytics and optimization projects

Module #22
E-commerce Analytics for Omnichannel Retailing
Optimizing e-commerce experiences across multiple channels, including online, offline, and mobile

Module #23
E-commerce Analytics for Subscription-Based Business Models
Optimizing e-commerce experiences for subscription-based business models, including subscription analytics and churn prediction

Module #24
E-commerce Analytics for International E-commerce
Optimizing e-commerce experiences for international markets, including currency and language considerations

Module #25
E-commerce Analytics for Marketplaces and Platforms
Optimizing e-commerce experiences for marketplaces and platforms, including Amazon, eBay, and Etsy

Module #26
E-commerce Analytics for B2B E-commerce
Optimizing e-commerce experiences for business-to-business (B2B) e-commerce, including B2B-specific KPIs and metrics

Module #27
E-commerce Analytics for Small and Medium-Sized Businesses (SMBs)
Optimizing e-commerce experiences for SMBs, including resource constraints and budget-friendly solutions

Module #28
E-commerce Analytics Best Practices and Pitfalls
Best practices and common pitfalls in e-commerce analytics, including data quality, sampling, and analysis

Module #29
E-commerce Analytics and AI
Using artificial intelligence (AI) and machine learning (ML) in e-commerce analytics, including chatbots and recommendation engines

Module #30
Course Wrap-Up & Conclusion
Planning next steps in E-commerce Analytics and Optimization career

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E-commerce Analytics and Optimization ( 30 Modules )

E-commerce Analytics and Optimization
( 30 Modules )