π€ ROLE Creative Strategist & Performance Designer End-to-end ownership of the static ad creative pipeline β from audience research and Meta Ads Manager analysis to hook writing and final visual execution. π’ CLIENT Sakoon Nutrition β a 7-figure US-based DTC wellness brand (black seed & honey gummies) with 300,000+ customers and a 4.8β rating across 2,500+ reviews. The brand operates in a highly competitive supplement space where creative fatigue kills performance fast β making a structured, data-informed creative system business-critical. π SCOPE & VOLUME 200+ static ads delivered across the engagement 20 new creative concepts shipped every week 5 awareness stages covered per batch (Unaware β Most Aware) 4 distinct audience segments served in parallel Weekly performance analysis + creative iteration cycle π§ PROFESSIONAL OVERVIEW I built and run a weekly creative testing system for Sakoon Nutrition β a 7-figure DTC wellness brand competing in one of the most saturated categories in e-commerce (supplements). Over the course of the engagement, I've delivered more than 200 fully-developed static ad concepts β not random designs, but a structured system rooted in direct-response principles and real performance data pulled from Meta Ads Manager every single week. π The Process 1. Weekly Performance Analysis (Meta Ads Manager) Every week starts with a deep-dive into the previous batch's performance inside Meta Ads Manager β analyzing CTR, CPC, ROAS, hook rate, thumb-stop rate, and conversion data per creative. I isolate which creative variables drive traffic and sales vs. which ones underperform, so every new batch is a data-informed iteration, not a guess. This is what separates a creative system from creative output. 2. Audience Segmentation Across 5 Awareness Stages Every batch of 20 ads is split across the Eugene Schwartz awareness framework: π Unaware β problem discovery hooks π Problem Aware β pain-point amplification π Solution Aware β mechanism & proof-led hooks π Product Aware β review-led & comparison hooks π Most Aware β offer, retention, and restock hooks This ensures the brand is always testing top-of-funnel AND bottom-of-funnel simultaneously β never chasing only cold traffic while retention creative goes stale, or vice versa. 3. Full Audience Coverage I build creative for four distinct customer segments in parallel: Muslim consumers (25β55) seeking Sunnah-aligned wellness Joint pain / inflammation sufferers (35β65) Wellness-focused women (25β45) Customers who abandoned bitter-tasting black seed oil Each hook is audience-specific. No generic one-size-fits-all copy. 4. Direct-Response Hook Writing (Bencivenga Framework) Every headline is built on the Problem β Promise β Proof β Proposition model, with proof baked into the hook itself β specific numbers, mechanism callouts, source credibility, candor-based language. I maintain a live blacklist of 90+ already-tested headlines to guarantee every batch is genuinely new. No recycled angles, no creative fatigue. 5. Creative Execution I write copy-ready prompts for AI image generation (Nano Banana / Freepik), pairing them with strategic reference imagery and exact product mockups. Each ad ships with: Headline + subheadline 4 benefit callouts CTA BOGO offer badge (engineered as the brightest on-creative element) UGC overlays where relevant 6. Self-Check QA System Every creative passes an 8-point self-check before shipping β hook strength, audience match, blacklist collision, readability under 0.5 seconds, compliance with brand rules, and candor vs. hype balance. Nothing ships weak. π οΈ TOOLS & FRAMEWORKS Meta Ads Manager β performance analysis, creative isolation, variable testing Eugene Schwartz's 5 Awareness Stages β funnel structure Gary Bencivenga's Proof-First Method β hook architecture (12 proof elements) Direct-Response Copywriting Principles β no hype, proof-in-headline, one big idea per ad AI Creative Tools (Nano Banana, Freepik) β scalable visual execution Weekly blacklist system β prevents creative fatigue, ensures test integrity UGC integration β social proof overlays for higher trust signals π― WHY THIS WORKS Most creative shops ship pretty designs. I ship tested hypotheses β each ad is a hypothesis about what moves the audience, built on last week's data, and designed to produce the next week's data. This is the system that turns static ads from a cost center into a compounding learning asset. For a 7-figure brand scaling ad spend, the difference isn't prettier creative β it's a creative pipeline that gets smarter every week. πΌ WHAT I CAN DO FOR YOUR BRAND Full-funnel static ad systems (20+ creatives/week across 5 awareness stages) Weekly performance reviews with Meta Ads Manager Direct-response hook writing using Bencivenga / Schwartz frameworks Audience segmentation strategy for DTC e-commerce brands AI-powered creative scaling (Nano Banana prompt engineering) Blacklist & iteration systems to prevent creative fatigue Brand-specific rule systems to keep creative on-brand at scale