AI no-code for marketing
summary
Presents an experimental four-step method named AENA methodology that uses ChatGPT (OpenAI) to generate a full one-year marketing plan for a mock product called "e-commerce experience." Inputs are a detailed business profile and crafted prompts; outputs include audience persona Marco, 35–50, Milan/Rome, and ready-to-edit Facebook ad copy plus imagery suggestions Facebook ad headlines and images. Claims large time savings versus manual work, produces usable starting assets that require human optimization, and reports the approach as practical but not a replacement for marketers.
AI-written summary · about
chapters (15)
- 0:00Introduction by host
- 0:22Speaker introduction
- 1:27About Symphony Prime
- 2:13Introducing Aena methodology
- 3:44Challenges in marketing plans
- 5:17Benefits of AI in marketing
- 6:27AI applications in marketing
- 7:17Four-step methodology overview
- 9:03Experimental use case
- 10:07Business profile definition
- 11:14Prompt engineering for AI
- 12:41Audience persona generation
- 13:26Advertisement creation
- 14:50Time savings with AI
- 15:12Human-AI collaboration
related talks
01h 04mHow AI revolutionized marketing
48mAI Supercharging Product Management: Go Beyond Yourself!
45mThe Role of AI in Modern Marketing
21mSession: AI x UA – Redefining Creative Strategy For The Next Decade
40mAI + Your Data = Great SEA Results
45mMarketing in the Age of AI: Strategies for Staying Ahead of the Curve
39mAI & Creativity: A Designer's Journey Into the Future
30mAI-Assisted Creative for Automated Marketing using Python
