First photo finder: the frame where the product is easiest to recognize goes first
On Ozon, shoppers first see a product as a small thumbnail in search. When we compared two stores selling the same bags, a front-facing main photo on a white background got 2-3 times the clicks of a model or detail shot.
In search results every card competes with a thumbnail the size of a fingertip. A brand's photo order, however, is built for the product page, not the storefront: the first frame is often a full-length model shot or a close-up of the fabric. In a thumbnail the product can't be made out in those frames.
How it works
- When a new card is created, its photos are shown to a visual AI: shot type (product alone, on a model, detail), how large the product is in the frame and how recognizable it is as a thumbnail are measured.
- The frame where the product is easiest to recognize as a thumbnail becomes the main photo; a distant shot or close-up detail where the product is small never does.
- For shoes and bags, a product-only frame always goes first.
- The AI's decisions were compared with blind human labels on 463 photos; agreement on shot type is very high (kappa 0.86). It costs less than a tenth of a cent per photo.
What does it affect?
- New cards: only the photo order of newly created cards is decided; live cards are not changed.
- Number of photos: stays the same; only the order changes.
Tips for better results
- For bags and accessories, a front product shot on a plain background is the safest first frame.
- If you upload your own photos, let the product fill the frame; avoid large empty margins.
- A photo is not a miracle on its own: in our measurements, within the same type and brand, photo features alone did not explain clicks; product type, brand and price matter most. Think of the photo together with price and title.
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