Goal:
Identify the target audience for the Rs. 12,000 Gen AI Crash Course.
Build a content and marketing roadmap to acquire paying users and grow the community.
Position the course as the go-to learning resource for professionals looking to switch to AI roles.
Target Audience:
Primary: Career advancers – professionals with 1–10 years of work experience looking to upskill in AI.
Secondary: Startups & Entrepreneurs, Researchers & Developers, Business Leaders.
Guesstimate of Potential Market in India:
| Parameter | Calculation | Estimate |
|---|---|---|
| Total working population | Govt data (2021) | 47 Crores |
| Engineering workforce | 20% | 9.4 Crores |
| Professionals with 1–10 yrs exp | 40% | 3.76 Crores |
| Of which 1–5 yrs exp | 50% | 1.88 Crores |
| Tier 1 city concentration | 60% | ~1.1 Crores |
Note: Actual figures may vary; refined estimates can be obtained via official labor reports or industry surveys.
Content & Marketing Strategy:
Phase 1 – Text-Based Social Media (Month 1):
Platforms: LinkedIn, Twitter (X), Threads
Content Types:
Industry insights & latest AI developments
Useful AI tools & websites for daily use
Cheat sheets & prompt guides for ChatGPT
Testimonials & success stories from previous learners
Approach:
Learn high-engagement hooks and hashtag strategies
Track post engagement weekly to optimize content
Position the team as experts in building AI tools & websites
Phase 2 – Email Marketing:
Send targeted emails to existing community members highlighting:
Benefits of the Gen AI Crash Course
Success stories & testimonials
Links to relevant guides & resources
Phase 3 – Video-Based Platforms (After initial traction):
Platforms: YouTube, Instagram
Team: Script writers, video creators, editors
Content:
Explainers, tutorials, success stories
Webinars / Live Q&A with AI experts
Goal: Expand reach and improve conversion
Tools & Technologies Used:
Content creation: ChatGPT, Google Gemini, MS CoPilot
Marketing analytics: LinkedIn Analytics, Twitter Analytics, Mailchimp (for emails)
Inspiration from leading creators: Zain Kahn (Superhuman AI), Awais Khan, Ruben Hassid, Pete Huang, Isabella Bedoya
What I Did:
Conducted TAM (Total Addressable Market) estimation and audience segmentation
Built content roadmap prioritizing platforms & formats
Designed performance measurement plan (weekly engagement & conversion tracking)
Coordinated with community managers & content creators
Challenges & Learnings:
Challenge: High competition in AI education space, especially online courses
Learning: Prioritization of platforms based on audience behavior is key; start small, optimize, then scale
Learned importance of combining content marketing with email campaigns for higher conversion
Result / Outcome (Projected / Actual):
Projected reach: ~1 Crore potential target audience in Tier 1 cities
Expected initial engagement: 5–10% of target audience through social media and email campaigns
Metrics to track: Sign-ups, conversions to paid course, engagement rate, click-through rate
10 Apr 2024
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