Christopher C.

I help DTC brands scale profitably on Meta by building creative strategies designed for how the platform actually works in 2026, not outdated playbooks from 2023. Meta's algorithm doesn't care about your interest targeting anymore. It reads your creative like a targeting signal. If your ads look too similar, the platform treats them as one concept and kills distribution. That's why I focus on conceptual diversity, not cosmetic A/B tests. My process: 1. Deep research first: I mine customer reviews, Reddit threads, TikTok comments, and competitor ad libraries to find the exact language your audience uses and the angles your competitors miss. 2. Conceptual variation, not tweaks: I generate 8-20 truly different ad concepts per campaign (different hooks, narratives, creators, formats), not 10 versions of the same video with different headlines. 3. Speed without compromise: I use a 4-layer research system (audience voice mining, competitor intelligence, trend monitoring, performance looping) to move fast. Research and strategy are mine. AI scales execution. What you get: - Ad concepts that trigger Meta's algorithm correctly (varied enough to avoid Entity ID duplication) - Hook-first scripting optimized for 3-second attention spans - Testing frameworks built for fast creative rotation (7-14 day fatigue cycles, not monthly) - Clear documentation your team or creators can execute immediately Proof: 55,000% ROAS for Astra Daihatsu (automotive). Rp2M ad spend → Rp1.4B revenue, 9 cars sold in 45 days through systematic audience segmentation and concept testing. I've worked across automotive, travel, and DTC e-commerce with daily budgets from $50 to $400+. I don't "make pretty ads." I build systems that feed Meta what it needs to scale you profitably. If you need a strategist who understands how Meta works in 2026, let's talk.