Amazon Product Image Optimization Guide: Key Strategies to Improve Conversion Rates

1. Basic principles of image optimization

1. The picture information is true and accurate

The optimization of Amazon product images should ensure that the information conveyed by the images is true and accurate to avoid misleading consumers. Many consumers make purchasing decisions based on image impressions. If the image does not match the actual product, it will lead to complaints and negative reviews.

2. Beautiful pictures

Pictures should reflect the design and quality details of the product, creating a beautiful and atmospheric effect, thereby increasing the conversion rate.

3. The pictures are immersive

When optimizing images, you need to convey a sense of immersion so that consumers can imagine the application scenarios of the product in daily life.

4. Pictures convey texture and value

Pictures should not only show the texture of the product, but also convey a sense of value, making consumers feel that they are worth their money.

5. Image name optimization

Image names should be named after product keywords, rather than random Chinese characters or numbers, to increase the likelihood of search engines crawling them.

2. Specific optimization methods for images

1. Main image optimization

• Background color: The background of the main image must be pure white (RGB 255,255,255) without text.
• Product proportion: Products should occupy about 85% of the main image.
• Highlight quality: The main image needs to show the quality of the product and attract consumers to have a deeper understanding.
• Dimensional requirements: Images must be at least 1000 pixels long or wide.
• Use of models: Real models must stand frontally and are not allowed to show their naked bodies.

2. Optimization of auxiliary images

Auxiliary drawings should be displayed in the order of functional drawings, close-up drawings, detail drawings, dimensional drawings, scene drawings, packaging drawings/video assistance. Auxiliary pictures need to show product parameters and attributes to help consumers better understand the product.

3. Video assistance

If invited, sellers can shoot videos of their products to introduce functions and usage patterns.

3. Image infringement risk assessment

Unauthorized use of other people’s images may lead to infringement, and sellers need to be wary of issues such as model portrait rights.

4. Adding life scene elements

Displaying products in life scenes can arouse users’ emotions and enhance their sense of involvement.

5. Special category requirements

• Footwear: The main image must show a single left foot facing left.
• Earrings: Presented in pairs.
• Socks: For sale only one pair will be displayed.
• Home Category: The main image of some decorations does not need to use a pure white background.

6. Image optimization suggestions

Main image

• In line with the aesthetics of target consumers.
• Highlight selling points and use comparison techniques.
• Use models appropriately.
• Show core functionality.

Supplementary pictures

• Show how to use it.
• Multi-angle display.
• Provide quality assurance.

Conclusion

To sum up, Amazon product image optimization is a systematic project that involves considerations from many aspects. Sellers should strictly abide by platform regulations, and at the same time, constantly adjust and optimize strategies based on market demand to improve product attractiveness and conversion rate.