
Footwear brands have a product-data problem — and 2026 is when it costs sales
Footwear catalogs are full of gaps in width, last, and material data. Here's what that costs in 2026, and why AI shopping agents make it worse.
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Footwear product data — size, width, material, and use-case attributes that drive fit and returns.

Footwear catalogs are full of gaps in width, last, and material data. Here's what that costs in 2026, and why AI shopping agents make it worse.

Footwear returns run 17-30% and fit is the top cause. Here's the exact data a shoe PDP needs to stop the guessing, with a running-shoe example.

Footwear listings get suppressed on Amazon more than almost any other category. Here's the attribute, identifier, and image bar you have to clear.

Width, drop, stack height, lacing: the footwear attributes shoppers actually filter on, and why missing them silently drops products from search.

Footwear shoppers now ask ChatGPT and Gemini for recommendations before a search engine. Here's why thin product data keeps brands invisible to AI.