Why Product Images Drive Online Conversion: The 2026 Evidence

Product images drive conversion because they are the first thing shoppers use to judge a product online, and often the deciding factor in whether they click through from search at all. Research from Baymard Institute and Salsify shows most shoppers look at images before reading anything else, and poor or missing images are a common reason for abandoned sales and returns. For Australian retailers selling across several marketplaces, a complete, rule-compliant image set on every channel is one of the most direct levers on traffic and sales.

Shoppers look before they read

Online, the image does the job the shelf, the box and the sales assistant do in a store. Baymard Institute's large-scale usability testing found that 56% of users' first action on a product page was to start exploring the product images (2020), before reading titles or descriptions. That habit holds even when reading the description would be quicker.

The image also matters one step earlier, in search results. In Salsify's 2024 survey of 2,700 US and UK shoppers, 76% said high-quality product images were "extremely" or "very" important to their decision to click on a product page from search results, level with pricing and discounts. On a marketplace results page, where your listing sits next to dozens of near-identical offers, the main image is doing most of the work to win the click.

The stakes keep rising. Australians spent $82.6 billion online in 2025, with 9.8 million households shopping online, according to Australia Post. More of that spend is going through marketplaces, where your images are judged side by side with competitors'.

Images build confidence, and their absence costs sales

Once a shopper is on the page, images answer the practical questions: how big is it, what does the texture look like, what comes in the box, will it suit my space. Baymard's 2026 product page benchmark found that 42% of users try to work out a product's size from its images, yet 37% of sites don't provide an "in scale" image. The same benchmark found 23% of sites don't show worn products (apparel, accessories, cosmetics) on a human model.

Image quality matters as much as image count. Baymard found that 25% of e-commerce sites provide images that aren't good enough for shoppers to evaluate the product, either because resolution is too low or zoom is too limited. In testing, low-resolution images dragged down how users perceived the product itself, not just the site.

Salsify's research shows how this plays out at the decision stage: 78% of shoppers said product images and descriptions were "extremely" or "very" important to completing a purchase.

Accurate images reduce returns

Images that oversell are a false economy. In the same Salsify study, 45% of shoppers said they had returned an item in the past year because of incorrect product content, such as images that didn't match the product. Amazon lists "reduce product returns due to mismatched expectations" as one of the core reasons for its image requirements, and eBay tells sellers that showing all the details means buyers are more likely to be happy with their purchase.

Accuracy is also a legal matter in Australia: the ACCC is clear that images and descriptions must not create a false impression. We cover that in more depth in our guide to AI-generated product photos and the rules around them.

Marketplaces reward complete, compliant image sets

Every marketplace links image quality to visibility. Amazon says high-quality images improve product discoverability in search and recommends at least six additional images and one video on top of a compliant main image. If no compliant main image exists, Amazon may temporarily remove the listing from search. eBay tells Australian sellers that high-quality photos are key to showing up in searches on eBay and on external sites like Google Shopping, and allows up to 24 photos per listing.

The catch for multichannel sellers is that each marketplace wants something slightly different: pixel sizes, aspect ratios, background colours, whether text is allowed, and how many images count as "complete". A photo set that is perfect for Amazon may be cropped badly on THE ICONIC or rejected on Google Shopping. Our comparison of marketplace image requirements sets the main rules side by side.

What a converting image set looks like

Drawing the research together, a strong image set for most products includes:

• A clean main image on a white or light neutral background, product filling most of the frame, no added text, logos or badges.
• Several angles (front, side, back, top) so shoppers can inspect the product as they would in a store.
• An in-scale or in-use image that shows size against a person, a room or a familiar object.
• Detail shots of texture, materials, controls or stitching, at a resolution that holds up when zoomed.
• A "what's in the box" image for products with included accessories. Baymard found 31% of sites don't provide one (2019), which leads shoppers to undervalue the bundle.
• Infographic or annotated images in secondary positions, where the channel allows them, to call out key features and dimensions.
• A short video, where the channel supports it.

Key figures

• 56% of users' first action on a product page was to explore the images (Baymard Institute, 2020).
• 76% of shoppers say high-quality images are extremely or very important to clicking through from search (Salsify, 2024).
• 45% of shoppers returned an item in the past year because of incorrect product content (Salsify, 2024).
• 42% of users try to judge product size from images; 37% of sites lack an in-scale image (Baymard Institute, 2026).
• 25% of e-commerce sites have images with insufficient resolution or zoom (Baymard Institute, 2020).

How eComChannels helps

Most Australian sellers know their images could be better. The problem is the work: resizing, re-cropping and re-checking the same product photos for Amazon, eBay, Bunnings, Kogan, THE ICONIC, TikTok Shop and the rest, then doing it again whenever a rule changes.

eComChannels AI graphics is trained on each marketplace's image rules. It builds a separate image set for each channel from your master photos, checks backgrounds, sizes and text restrictions against that channel's rules, and puts the set in front of your team for approval. You approve once and publish everywhere. That means fewer rejected or suppressed listings, complete galleries on every channel (which supports search visibility and conversion), and far less time spent in image editors.

Because images sit alongside your titles, attributes and descriptions in one master product record, AI listing optimisation keeps copy and visuals consistent across channels, which helps reduce the mismatches that drive returns.

To see it on your own catalogue, book a demo or start a 30-day free trial.

FAQ

Do better product images really increase sales?

The evidence points strongly that way. Shoppers look at images first, most say image quality affects whether they click and buy, and marketplaces such as Amazon and eBay say image quality affects search visibility. Exact uplift varies by category and channel, so test changes on your own listings and track click-through and conversion rates.

What is the single most important product image?

The main (hero) image. It appears in search results and decides whether a shopper clicks. It must follow each channel's main-image rules, which usually means a clean background, the full product in frame and no added text or logos.

How many images should a product listing have?

Enough to answer the shopper's questions about size, detail, use and contents. Amazon recommends a main image plus at least six more and a video; Google recommends five or more additional images. See our guide on how many product images per listing.