Get your Amazon Images and Categories Right

Posted on July 21, 2017 by Monica Axinte

How to Get Your Amazon Images and Categories Right

For years Amazon has remained a top player. Boasting a huge range of products, Amazon prioritizes customer response and experience. It's no surprise they saw 27% growth in 2016 which overshadows eBay’s 5% growth in 2016.

Amazon more than doubled items sold, third party sellers saw record breaking sales and Fulfilled by Amazon (FBA) sellers grew 70% in 2016 compared to 2015.

 

Amazon Image Requirements and Guidelines

Items on Amazon require at least one image. The primary image being known as the ‘MAIN’ image. This is the image that customers will see on the results page and the first image they see when viewing the product itself, such as the example below:

Amazon Image Requirements 

This needs to be both effective and adhering to Amazon’s image requirements. The image itself is not taken into consideration when calculating your product’s position in the SERP. However, better images are more likely to lead to more sales.

The main things to bear in mind are your product image should be clear, accurate and a good quality representation of your item and stay within Amazon’s guidelines.

 

Amazon’s image requirements are as follows:

  • 85% or more of the image must contain the product itself;
  • Only the product itself may appear in the picture with little to no props;
  • The image must be an accurate representation of the product;
  • Recommended dimensions include 1000 pixels or more to be eligible for the zoom feature (which improves sales);
  • Minimum dimensions are 500 pixels on either the width or height;
  • JPEG is preferable. However, TIFF and GIF are also accepted;
  • Main images may only have a pure white background.
 

Amazon Categories

As a seller, it is fairly easy to assign your product to a category when adding a product to Amazon’s listings and it has a profound effect on your rating. It is essential to be in the right categories so buyers can find your product with ease and the impressions are directed towards the right audience.

This may seem basic. However, it is very easy for a seller to get caught up in the excitement of listing their new item. Sellers are often tempted to pick a category that ‘sounds about right’ - rather than looking into it properly.

Do not be tempted by the easy option of selecting ‘everything else’ when your product does not feel as though it is fitting into a category correctly.

There are two types of categories; open categories and categories requiring approval.

  • Open categories allow items to be listed without approval from Amazon. There are currently over 20 of these and some will only allow new products to be listed.
  • The categories requiring approval can only be utilized by sellers using the ‘Professional Selling Plan’. These categories are limited so that only sellers that meet Amazon’s product and category requirements can sell within these categories.

Here are some quick ways to figure out what category your product should be in.

1. Do a product search - what category are your competitors using? What are similar items listed under? A fairly basic product search on Amazon should give you a good idea what category is for you.

For example if you were selling rose water, typing it into the search bar has brought up suggestions of the ‘Beauty’ category or the ‘Health & Personal Care’ category.

Amazon Categories

2. Use keyword software – keyword software tools, such as Jungle scout, aim to help you find out more about the competition on Amazon.

With this tool, it splits out the results by the categories your competitors have listed their products in.

3. Use “Search for your product’s category- this is in the product listing and gives you fairly strong suggestions as to what category you should be listed in.

 

Amazon Images and Categories

More often than not, where there is a fast-mover item (items that typically get bought without a lot of time taken to consider the item), there may be a smaller amount of imagery.

So for example, when looking at items within the grocery category, you may see somewhere between 1-3 images more often than products with more images.

For example, this coconut water only has 3 images:

Amazon Images Categories

Whereas this refrigerator has 7 images.

Amazon Images Categories

Add a little as these products are bought quickly with little-to-no deeper consideration. The customer is less likely to look past the first image, and even less likely to look past 3 images.

In this case, it would be highly beneficial for these product to possess a particularly strong primary image.

Typically, when there is less intent to commit to an item from the customer, for example when purchasing an item which requires research or has a high cost price, they are more likely to look further into the imagery.

 

Conclusion 

Fully optimizing your products by implementing optimum product content, categorizing your product correctly, using the best images, utilizing product management tools and ensuring your price competes as best it may seem like a lot of hard work.

Remember Amazon dominated 2016 as an online retailer and it does not look like it will be slowing down anytime soon.

If you are looking to ramp-up the quality of your Amazon listings, then you'll probably find our eBook Double your Amazon Sales useful. Download it and learn how to improve the quality of your feed and your campaigns. Or Ask to Talk to someone from our team of feed specialists. 

amazon-marketplace-ebook

 

 

About DataFeedWatch

DataFeedWatch is data feed optimization and management software that enables merchants on Magento, Shopify, Volusion3Dcart, BigCommerce, WooCommerce, OpenCart, VersaCommerce, and numerous other shopping carts to optimize their product data feed for Google and 1000+ Shopping Channels in 50 countries. The most intuitive and easy data feed management and optimization tool on the market. Free trial and live demo available.

Posted in: Amazon

Written by Monica Axinte

Monica Axinte is the VP of Marketing for DataFeedWatch.
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