This business model operates on 'cultural arbitrage.' Local businesses desperately want to connect with the lucrative college student demographic but lack the time and cultural fluency to understand fast-moving campus trends. This service uses AI to systematically identify hyper-local trends (memes, audio, challenges specific to a campus) from public social media data, then translates that intelligence into ready-to-film, short-form video scripts. The client is a local business (coffee shop, restaurant, boutique) near a university, who pays a monthly retainer for a consistent pipeline of culturally relevant marketing ideas they can film themselves.
Step 1: Step 1: Identify Local Business Leads Near Campus
Input: Target university address and a list of target business categories (e.g., food, retail). | Output: A CSV file named 'prospect_list.csv' containing company names, websites, and contact information for decision-makers.
Step 2: Step 2: Extract Hyper-Local Social Media Data
Input: A list of campus-specific hashtags, location data, and relevant social media account usernames. | Output: A JSON file named 'campus_trends_raw.json' containing URLs, captions, audio names, and engagement metrics from recent posts.
Step 3: Step 3: Analyze and Synthesize Campus Trends
Input: The 'campus_trends_raw.json' file from Step 2. | Output: A structured Markdown file named 'trend_report.md' detailing the top 3-5 campus trends.
Step 4: Step 4: Brainstorm Client-Specific Video Concepts
Input: A single prospect profile from 'prospect_list.csv' (Step 1) and one trend from 'trend_report.md' (Step 3). | Output: A list of 3 actionable video concepts, saved as 'video_concepts.txt'.
Step 5: Step 5: Write a 'Ready-to-Film' Script
Input: The single best video concept chosen from 'video_concepts.txt' (Step 4). | Output: A complete, detailed video script saved as 'final_script.txt'.
Step 6: Step 6: Design an AI-Generated Pitch Deck
Input: Prospect name (Step 1), trend details (Step 3), and the final script (Step 5). | Output: A shareable public URL for the Gamma presentation.
Step 7: Step 7: Craft the High-Converting Outreach Email
Input: Prospect contact info (Step 1), Gamma presentation URL (Step 6), and key details about the custom idea. | Output: A polished email text file named 'outreach_email.txt'.
Step 8: Step 8: Record a Personalized Pitch Video
Input: The completed Gamma presentation URL (Step 6) and a prepared mini-script. | Output: A shareable Loom video URL.
Step 9: Step 9: Create and Send a Monthly Retainer Agreement
Input: Agreed-upon terms (price, deliverables) and the client's contact information (name, email). | Output: A legally binding, e-signed contract and an automated first invoice, confirming the client relationship.