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 (Egypt): Egypt applies VAT and requires Arabic labeling; GOEIC pre-shipment inspection covers many imported goods and Halal is expected for food. Import licensing can be restrictive for some categories.
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.