A margin-first engine built around drops, lookbooks, and size-run economics
Fashion brands usually have the hardest part solved: product people love and an aesthetic that converts. Growth stalls because everything runs on reactive drops and one-off creative — there is no system behind the next launch.
Hero pieces sell out with no waitlist capture. SKU-level margin is unclear across sizes and colorways, so scaling decisions are guesses. Lookbook creative is beautiful but too slow for Meta’s fatigue curve. Nothing monetizes demand between drops.
The full Margin-First stack, tuned for apparel DTC:
- Margin Truth Analysis: Weighted gross margin by SKU and size run — every scale decision on hero pieces has a number behind it.
- Drop Creative Velocity: Weekly lookbook cuts, UGC try-on, and hook tests aligned to your launch calendar — not generic statics.
- Acquisition Ecosystem: Meta and TikTok managed on blended MER and contribution margin across the full catalog, not one winning ad.
- Retention Layer: Waitlist, back-in-stock, and post-purchase flows that capture demand between drops.