Apparel is the most competitive category on Amazon, and the difference between a converting listing and a dead one is almost always in the details: fit language, fabric honesty, and a size chart that actually reduces returns.
Marketplace note (Germany): German-language titles and bullet points are strongly recommended; CE marking and the EU GPSR (General Product Safety Regulation, effective Dec 2024) apply to most consumer goods.
Shoppers buy clothes they trust will fit. Put the fit (regular/slim/oversized), the fabric composition (e.g. 95% cotton 5% elastane), and the key use (yoga, office, winter) in the first bullet and the title. Save the brand story for A+ content.
Include a measurement table (chest/waist/length in inches and cm) and explain how it runs (true to size, size up). Apparel returns are dominated by fit confusion — a clear chart is the single highest-ROI optimization.
The main image must be the product on a pure white background, but your secondary images should show the item worn, with a phone or hand for scale, and close-ups of stitching and fabric. Amazon's algorithm rewards dwell time on the image block.
Use all 250 bytes of backend keywords with synonyms and misspellings (e.g. jumper + sweater), but never repeat words already in the title and never use competitor brands.
At least 7: white hero, front/back worn, detail/scale, size chart, and one lifestyle or care shot. More high-quality images correlates with higher conversion.
Model images convert better for apparel because shoppers gauge fit and drape. Use flat-lays only for the size chart and fabric close-ups.
Most suppressions come from size mismatch, medical/shape claims ('slimming', 'posture correct'), or promotional text on the hero image. Run a compliance check before launch.
Yes — if sizes differ by color or style, provide per-variant measurements or clearly state it runs consistent across the range.