🚀 Day 2 – UGC Ads Fundamentals & Analysis Main Objective: Day 2 focused on understanding what UGC ads are, why they outperform traditional ads, and how to analyze high-performing ads. The goal was to learn the psychology, structure, and patterns behind successful UGC advertising before creating any ads. 📱 What Are UGC Ads? UGC (User-Generated Content) ads are videos where a real person speaks directly to the camera in a natural, relatable way to promote a product, brand, or service.It feels like a personal recommendation rather than a commercial. Example:An influencer talking about a perfume, coffee shop, or product in a selfie-style video. 📚 What I Learned - UGC ads outperform traditional ads because they feel authentic and trustworthy. - People trust peer recommendations more than brand messaging. - Social platforms favor native, casual content (selfie videos, natural lighting, real environments). - People buy from people, not companies. - Imperfection increases authenticity — UGC should not look overly polished. - Many editors fail because they create ads that look like commercials instead of real content. 🧠 Why This Matters You cannot create effective AI UGC ads unless you truly understand what UGC is and how it works.UGC wins because it feels like a friend recommending a product, not a brand selling it. 🧩 Tasks Completed ✅ Task 1 — Facebook Ads Library Research - Explored Facebook Ads Library. - Searched multiple brands (Sephora, Glossier, AG1, etc.). - Identified 10 UGC-style ads. - For each ad, I documented: - Added screenshots of ads. - Completed full framework analysis for all 10 ads. ✅ Task 2 — Anti-Pattern Analysis (Traditional Ads) - Researched 5 polished brand ads (example: Nike). - Analyzed why they feel like ads: - Explained why viewers might skip: - Compared each with how UGC would look instead. - Completed analysis for all 5 ads. ✅ Task 3 — 3 Best UGC Ads Deep Dive Selected top 3 UGC ads from Task 1:

🚀 Day 1 – AI Production Setup & Research Main Objective: Day 1 was focused on building the foundation. I did not create any ads yet. The goal was to set up all required AI platforms, explore their features, understand pricing/credits, and see how everything connects before starting production. 🔧 Platforms I Set Up & Explored 1️⃣ HeyGen - Signed up and explored the free plan. - Learned how text-to-video works (write a prompt → platform generates a production-ready video with visuals, B-roll, and edits). - Explored AI avatars (photo-based cloning + custom virtual characters). - Reviewed templates like news and presentation formats. - Understood the credit system and pricing tiers. 2️⃣ ElevenLabs - Explored text-to-speech generation. - Tested voice cloning and voice changer features. - Learned about voice isolation and sound tools. - Reviewed subscription plans and monthly credit usage. 3️⃣ Kling AI - Explored AI image and video generation (more animation-style content). - Tested motion controls and free credits. - Compared free vs paid plans. 4️⃣ Hix AI (Higgsfield) - Explored image/video generation tools. - Checked face swap and character creation options. - Reviewed pricing and limited free credits. 5️⃣ Canva + CapCut + Premiere Pro - Canva for thumbnails and simple visuals. - Premiere Pro for full professional editing. - CapCut mainly for subtitles. 📚 What I Learned - How each AI tool serves a different role (avatars, voice, video, editing). - How credit-based pricing works across platforms. - The strengths and limitations of free versions. - How these tools can combine to create AI-powered UGC ads. - Watched tutorials for every platform to fully understand workflows. ✅ Day 1 Outcome - Accounts created on all major platforms. - Features explored and tested. - Pricing & upgrade plans understood. - Clear idea of which tools I’ll use for what purpose. 🎯 Summary Day 1 was about research, setup, and understanding the ecosystem. No production yet — just building knowledge and clarity.