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Course Outline
Introduction to AI in Marketing
- Overview of AI's role in modern marketing strategies
- Introduction to DeepSeek models and their capabilities in marketing
- The importance of data-driven marketing and AI integration
Utilizing DeepSeek for Customer Segmentation
- Techniques for analyzing customer demographics, behaviors, and preferences
- Using DeepSeek models to create effective audience segments
- Personalization strategies for targeted campaigns
Predictive Analytics for Marketing Campaigns
- Understanding predictive modeling and its impact on customer journey forecasting
- Applying DeepSeek for lead scoring and conversion prediction
- Optimizing marketing spend through AI-driven insights
Optimizing Marketing Campaigns with DeepSeek
- Automating campaign creation and delivery using DeepSeek
- A/B testing and continuous improvement powered by AI
- Integrating DeepSeek models with marketing automation platforms
Leveraging Data Analytics for Customer Engagement
- DeepSeek's role in identifying key engagement drivers
- Enhancing customer retention strategies through real-time analytics
- Using AI to deliver personalized experiences across channels
Case Studies and Applications in Marketing
- Real-world examples of businesses using AI for marketing automation
- Key metrics and KPIs tracked with DeepSeek models for successful campaigns
- Lessons learned and best practices from AI-driven marketing
Summary and Next Steps
Requirements
- Basic understanding of marketing principles
- Familiarity with AI-driven applications and analytics tools
- Experience with marketing platforms or CRM systems
Audience
- Digital marketers seeking to leverage AI for campaign optimization
- Marketing strategists and analysts looking to enhance customer targeting
- Business owners interested in utilizing AI for marketing automation and insights
14 Hours
