Program Overview
This intensive program helps D2C and brand-side marketing professionals master the application of Artificial Intelligence across the entire campaign lifecycle—from predictive ad bidding (Google Performance Max, Meta Advantage+) and prompt-engineered copywriting at scale, to generating visual assets with Midjourney, Firefly, and DALL·E, as well as voice-avatar storytelling with Heygen and Myedit. Participants learn how to integrate these tools into real-world D2C brand scenarios, drive ROI uplift, and build cohesive brand kits while addressing bias, deepfakes, copyright/IP safeguards, and other ethical imperatives. The curriculum ensures every participant leaves with practical artefacts and problem-solving skills they can deploy immediately to improve direct-to-consumer campaign performance and conversion outcomes.
Features
- Apply leading AI ad-tech tools (Performance Max, Advantage+, Midjourney, Firefly) to create high-impact omnichannel campaigns
- Engineer prompts to scale persona-specific ad copy while preserving brand voice and compliance
- Build multimodal campaign assets (visuals, voiceovers, avatars) and integrate them into cohesive brand kit
- Identify and mitigate ethical and regulatory risks including bias, deepfakes, and IP/copyright issues
Target audiences
- Brand Marketing and Digital/Performance Marketing Professionals
- Growth Teams
- Creative Strategy Professionals
- Communications Team
Curriculum
- 8 Sections
- 43 Lessons
- 1 Day
- AI-Powered Advertising Models7
- 1.1Google Ads Performance Max → AI bidding strategies, predictive targeting, creative automation
- 1.2Meta Advantage+ → Automated creative generation, cross-channel optimization
- 1.3Comparing AI bidding vs. manual bidding
- 1.4Role of predictive audiences in ROI uplift
- 1.5Case: Google Performance Max improving campaign efficiency
- 1.6Case: Meta Advantage+ scaling new product launches
- 1.7Activity: Build a draft cross-channel campaign using Google & Meta planners
- Advanced Prompt Engineering for Marketing6
- 2.1Prompt chaining, crafting CTAs, headline optimization, content variants
- 2.2Brand voice consistency → Open Prompt Manager, tone & style tuning
- 2.3Prompt design for different funnel stages
- 2.4Risks of “prompt drift” in large campaigns
- 2.5Prompt sets used by global FMCG brands for product launches
- 2.6Activity: Create prompts & ad sets for TOFU/MOFU/BOFU campaigns
- Copywriting at Scale with Generative AI6
- 3.1Overview of generative AI tools (ChatGPT, Jasper, Copy.ai)
- 3.2Scaling copy across personas, channels & languages
- 3.3Challenges in maintaining authenticity & compliance
- 3.4Global campaigns using AI-powered persona-based A/B testing
- 3.5Exercise: Persona-Based A/B Testing
- 3.6Mini Project: Build a Full Funnel Ad-Copy Pack
- Advanced Advertising Visuals with Image Models4
- Multimodal Storytelling with Voice & Avatars4
- Collaborative Campaign Development with AI Tools5
- Ethical Practices & Scalable AI Advertising4
- Design Integration & Campaign Finalization7
- 8.1AI-Augmented Ad Lifecycle: Ideation → Creation → Validation → Launch
- 8.2Tools: Figma AI & Canva AI for brand kits
- 8.3Converting ad assets into cohesive brand kits
- 8.4Integrated AI campaigns from retail & consumer goods
- 8.5Team project: Convert ad assets into a brand kit
- 8.6AI as enabler for creativity, speed, and compliance
- 8.7Practical frameworks for immediate workplace application
Instructor
