Big Data In Marketing & E-commerce Training Course: Customer Analytics & Optimization

Introduction

Drive unprecedented growth with our Big Data in Marketing and E-commerce Training Course. This program is designed to equip you with the essential skills to apply Big Data for customer analytics and marketing optimization, enabling you to make data-driven decisions that enhance customer engagement and boost sales. In today's competitive digital landscape, the ability to leverage Big Data is crucial for understanding customer behavior, personalizing marketing campaigns, and optimizing e-commerce strategies. Our Big Data marketing training course provides hands-on experience and expert guidance, empowering you to build robust and scalable marketing solutions.

This e-commerce analytics Big Data training delves into the core concepts of Big Data in marketing and e-commerce, covering topics such as customer segmentation, predictive analytics, and marketing automation. You'll gain expertise in using industry-standard tools and techniques to analyze customer data and optimize marketing strategies, meeting the demands of modern digital environments. Whether you're a marketing professional, e-commerce manager, or data analyst, this Big Data in Marketing and E-commerce course will empower you to build powerful marketing applications.

Target Audience:

• Marketing Professionals
• E-commerce Managers
• Data Analysts
• Digital Marketers
• CRM Specialists
• Marketing Strategists
• Anyone needing Big Data skills in marketing and e-commerce

Course Objectives:

• Understand the fundamentals of Big Data in marketing and e-commerce.
• Master customer segmentation and profiling using Big Data.
• Utilize predictive analytics for marketing campaign optimization.
• Implement marketing automation using Big Data insights.
• Design and build personalized marketing experiences.
• Optimize e-commerce conversion rates using Big Data.
• Troubleshoot and debug Big Data marketing applications.
• Implement data security and compliance in marketing data workflows.
• Integrate Big Data with various marketing and e-commerce platforms.
• Understand how to monitor and maintain marketing Big Data systems.
• Explore advanced Big Data patterns for marketing analysis.
• Apply real world use cases for Big Data in marketing and e-commerce.
• Leverage Big Data for social media analytics and influencer marketing.

Duration

10 Days

Course content

Module 1: Introduction to Big Data in Marketing and E-commerce

• Fundamentals of Big Data in marketing and e-commerce.
• Overview of Big Data applications in customer analytics.
• Setting up a marketing Big Data development environment.
• Introduction to marketing data tools and frameworks.
• Best practices for Big Data in marketing.

Module 2: Customer Segmentation and Profiling

• Utilizing Big Data for customer segmentation.
• Implementing behavioral and demographic profiling.
• Designing and building customer personas.
• Optimizing customer segmentation strategies.
• Best practices for customer segmentation.

Module 3: Predictive Analytics for Marketing Optimization

• Implementing machine learning for campaign optimization.
• Utilizing predictive modeling for customer lifetime value.
• Designing and building predictive models for marketing.
• Optimizing marketing campaigns with data-driven insights.
• Best practices for predictive analytics.

Module 4: Marketing Automation with Big Data

• Implementing marketing automation workflows.
• Utilizing Big Data for personalized email campaigns.
• Designing and building automated marketing systems.
• Optimizing marketing automation strategies.
• Best practices for marketing automation.

Module 5: Personalized Marketing Experiences

• Designing and building personalized product recommendations.
• Utilizing Big Data for targeted advertising.
• Implementing personalized content delivery.
• Optimizing customer engagement with personalization.
• Best practices for personalized marketing.

Module 6: E-commerce Conversion Rate Optimization

• Utilizing Big Data for e-commerce analytics.
• Implementing A/B testing for conversion rate optimization.
• Designing and building e-commerce optimization strategies.
• Optimizing product listings and user experience.
• Best practices for e-commerce optimization.

Module 7: Troubleshooting and Debugging

• Debugging Big Data marketing applications.
• Analyzing performance and data issues.
• Utilizing debugging tools and techniques.
• Resolving common marketing data problems.
• Best practices for troubleshooting.

Module 8: Data Security and Compliance

• Implementing data security in marketing data workflows.
• Utilizing GDPR and CCPA compliance standards.
• Implementing data encryption and access control.
• Managing data permissions and privileges.
• Best practices for data security.

Module 9: Integration with Marketing Platforms

• Integrating Big Data with various marketing platforms.
• Utilizing APIs and data connectors.
• Implementing data transfer between Big Data and marketing systems.
• Best practices for integration.

Module 10: Monitoring and Maintenance

• Monitoring marketing Big Data systems.
• Implementing alerting and notifications.
• Utilizing monitoring tools and techniques.
• Managing marketing data applications.
• Best practices for monitoring.

Module 11: Advanced Big Data Patterns

• Implementing advanced Big Data patterns for marketing analysis.
• Utilizing natural language processing for customer sentiment analysis.
• Implementing graph databases for social network analysis.
• Advanced techniques for marketing data processing.
• Best practices for advanced patterns.

Module 12: Real-World Use Cases

• Implementing Big Data for social media marketing.
• Utilizing Big Data for influencer marketing.
• Implementing Big Data for customer journey mapping.
• Utilizing Big Data for real-time marketing analytics.
• Best practices for real world applications.

Module 13: Social Media Analytics and Influencer Marketing

• Utilizing Big Data for social media engagement analysis.
• Implementing influencer marketing strategies.
• Designing and building social media analytics dashboards.
• Optimizing social media campaigns with Big Data.
• Best practices for social media analytics.

Module 14: Big Data and Marketing Governance

• Implementing data governance policies in marketing environments.
• Utilizing metadata management for marketing data.
• Implementing data lineage and data dictionary.
• Best practices for data governance.

Module 15: Future Trends in Big Data for Marketing

• Emerging trends in Big Data for marketing.
• Utilizing AI and automation in marketing data workflows.
• Implementing real-time customer data platforms.
• Best practices for future marketing applications.

Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Training Venue

The training will be held at our Skills for Africa Training Institute Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Skills for Africa Training Institute certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: info@skillsforafrica.org, training@skillsforafrica.org  Tel: +254 702 249 449

Terms of Payment: Unless otherwise agreed between the two parties’ payment of the course fee should be done 7 working days before commencement of the training.