Amazon brand creative
Amazon image optimization
Image optimisation means improving the listing images you already have rather than starting again. It starts with an audit: do main images meet Amazon's rules, are secondary images in a sensible order, do they answer the questions buyers ask, is text readable on a phone, and do the images show the product accurately? Amazon's UK troubleshooting guide lists main image suppression reasons including a background that is not pure white (RGB 255,255,255), text or logos, images under 1000×1000 pixels and products filling less than 85% of the frame. Fixing these, and tightening the rest of the sequence, can improve a listing without a new photoshoot.
This page covers the audit, main image fixes, sequence, callouts, accuracy, file quality and measuring results. Check Amazon's current image guidelines. LetGetGrow designs A+ content, Brand Stores and listing images and can arrange product photography through our team or suitable partners, with specifications, quantities, production arrangements, delivery locations, costs and timelines agreed in the quotation.
Illustrative diagram
- Audit
- Prioritise
- Fix
- Upload
- Measure
What an image audit checks
| Area | Question |
|---|---|
| Main image | Pure white, product only, filling the frame, large enough for zoom? |
| Sequence | Does each image answer a different question, in a sensible order? |
| Legibility | Is text readable on a phone? |
| Accuracy | Colours, scale and contents true? |
| Consistency | Does the set match the brand and the rest of the range? |
Fixing main images
Common fixes include re-cutting the product onto a background that is exactly white rather than nearly white, cropping so the product fills most of the frame, removing text, badges or props, and exporting at a size large enough for zoom. Amazon's UK guide warns that values like RGB 252,252,250 can still be rejected, so check in an image editor.
Reordering the sequence
Shoppers may only swipe through the first few images. Put the image answering the biggest doubt second, after the main image, and move less important details later. Remove near-duplicate images that take up slots without adding information, and fill gaps where an important question has no image.
Sharpening callouts
Callouts written for a desktop often have too many words and small type. Cutting them to a few words, enlarging type and raising contrast can make existing designs work on phones without redoing the photography.
An optimisation routine
Audit
Rules, sequence, legibility, accuracy.
Output: Issue list
Prioritise
Suppression risks and best sellers first.
Output: Fix plan
Fix
Re-cut, crop, re-order, edit callouts.
Output: Improved images
Upload
Replace and check display.
Output: Live images
Measure
Compare comparable periods.
Output: Result notes
Example: optimising a lamp listing
Illustrative example — not a client case study
Situation: A table lamp listing has an off-white main image, small callouts and two near-identical angle shots.
- The main image is re-cut onto pure white and cropped so the lamp fills the frame.
- One duplicate angle is replaced with a scale image showing the lamp on a bedside table.
- Callout text is cut to three words per point and enlarged.
What this shows: The listing met main image rules and answered size questions visually. This example is illustrative.
Optimisation checks
Compliance
- Main image exactly white
- No text or props on main image
Usefulness
- No duplicate images
- Biggest doubt answered early
Display
- Callouts readable on a phone
- Zoom works on main image
Checking accuracy
Compare images with a physical product in daylight. Colours drift through editing and screens, and scale can be misleading in lifestyle shots. Correcting colour and adding a clear scale reference can reduce 'not as described' returns.
File quality
Upload high-resolution files, avoid heavy compression that adds artefacts and keep originals stored safely. Blurry or pixelated images undermine trust even when the product is good.
Measuring results
Compare click-through and conversion over comparable periods before and after changes, keeping price, stock and advertising in mind. Change one thing at a time where possible so you can see what made a difference.
When optimisation is not enough
If photos are low resolution, badly lit, show an old version of the product or miss key angles, editing cannot fully fix them. An audit should say honestly when a new shoot or renders would be better value than continued editing.
Across a range
Optimising one listing often reveals issues that repeat across the range, such as the same off-white background or the same small callouts. Fixing them consistently improves the whole range and keeps it looking coherent in search results.
Variant images
Check that every colour or size variant has its own accurate main image. Variants showing the wrong colour, or sharing one image, confuse shoppers and lead to returns. Check variant images whenever a new colour is added.
Questions about Amazon image optimization
What is Amazon image optimisation?
Improving existing listing images rather than starting again.
What are the most common main image problems?
Near-white backgrounds, text, small size and products not filling the frame.
Does the image order matter?
Yes; answer the biggest doubt early.
Can callouts be fixed without new photos?
Often, by shortening text and enlarging type.
When is a reshoot needed?
When photos are low quality, outdated or missing key angles.
How do we measure improvement?
Compare comparable periods, allowing for price and stock.
Sources referenced
Platform features, guidance and rules change. We check the current versions before committing to an approach. This page is general information, not legal advice.
- Amazon: Fix Your Listing: Troubleshooting Guide (opens in a new tab) — reviewed 2026-10-30
Request a Custom Quote
Ask about Amazon image optimization
Thank you — your enquiry has been sent.
We have received your message and will reply by email. If you need to add anything, email info@letgetgrow.com.