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    Category Page Optimization: Filters, Sorting and Product Cards

    Category page optimization guide: fix filters, sorting, product cards, pagination vs infinite scroll and empty results so shoppers find products faster.

    Dimitris Andreadakis

    7 min read
    50 views
    category page optimizationecommerce product filters UXproduct listing page best practicespagination vs infinite scroll ecommerceproduct card design

    Category page optimization means helping shoppers narrow a large range to the few products worth clicking. The biggest levers are filters that match how customers choose, a sensible default sort, product cards that show the deciding details, a loading pattern that keeps their place, and empty results pages that offer a way forward instead of a dead end.

    Category pages, also called product listing pages, sit between the homepage and the product page. They get little design attention because they are templates, yet one template change affects every collection on the site. That makes them one of the highest-leverage places to fix in an online store.

    What makes a category page convert?

    A category page converts when a shopper can go from "I need running shoes" to "these three are worth a look" quickly, without losing their place. Its job is not to sell the product. Its job is to get the right product page opened.

    That breaks down into five parts, each covered below: filters, sorting, product cards, loading pattern and empty states. Weakness in any one creates the familiar pattern in analytics where visitors land on a category, scroll, and leave without opening a product.

    Which filters should a category page have?

    Offer filters for the attributes customers actually use to decide, specific to each category, not one generic set for the whole store. Shoes need size, width and use. Sofas need dimensions, seat count and fabric. Skincare needs skin type and concern.

    Find these attributes from three sources: your site search queries, the questions customer service gets before purchase, and the specs that appear in product reviews. Then check filter design:

    • Show filters on mobile in one tap. A sticky "Filter" button that opens a full-screen panel works well. Show the count of active filters on the button.
    • Allow multiple values per filter. Shoppers often want "black or navy", not one or the other.
    • Show applied filters above results as removable chips, with a "Clear all" option.
    • Show result counts next to filter values, and hide or disable values that would return zero.
    • Use consistent data. If half your products say "Navy" and half say "Dark blue", the filter breaks. Clean the product data first.
    • Keep thematic filters. Values like "for travel" or "gifts under $50" match how people shop, not just how products are specified.

    Baymard Institute's ecommerce usability research has repeatedly found product filtering to be a weak area on many large retail sites, so even basic fixes here can set you apart.

    What should the default sort order be?

    The default sort should show your most relevant, in-stock, well-reviewed products first, not newest arrivals or alphabetical order unless that is what your shoppers want. Most platforms call this "Featured" or "Best selling". Check what it actually does, because "Featured" is often just manual order set years ago.

    Practical rules for sorting:

    • Push out-of-stock products to the end, or hide them with an option to show them.
    • Offer price low to high, price high to low, best selling, newest and top rated.
    • Keep the sort control visible near the top of results on mobile, not inside the filter panel only.
    • Remember the chosen sort when the shopper goes back from a product page.

    What should a product card show?

    A product card should show what a shopper needs to decide whether to click: a clear image, the product name, price, and one or two category-specific details such as available colors, rating or a key spec. Everything else is noise at this stage.

    ElementInclude?Notes
    Product image on consistent backgroundAlwaysSame crop and angle across the grid makes comparison easy
    Second image on hoverOftenUseful for apparel and furniture; desktop only
    NameAlwaysFull name, not truncated so variants look identical
    Price, including sale priceAlwaysShow original and sale price clearly
    Color swatchesWhen relevantShow count if many: "+6 colors"
    Rating and review countWhen you have real reviewsHide stars for products with no reviews
    Key specFor technical categoriesCapacity, size or compatibility, in text
    Quick add to cartDependsGood for repeat buys and simple products; poor when size choice matters
    Multiple badgesRarelyOne badge at most, or none stand out

    Image quality and consistency do more work than any badge. A grid where every product is shot differently makes comparison slow. For what happens after the click, see our product page best practices.

    Pagination, infinite scroll or "Load more": which is best?

    For most stores, a "Load more" button is the safest default. Baymard Institute's product list research generally favors it over both classic pagination and pure infinite scroll, because it keeps shoppers in one continuous list while still letting them reach the footer and return to their place.

    PatternStrengthsWeaknessesBest for
    PaginationClear position, shareable URLs, easy to return toExtra clicks; shoppers browse fewer productsVery large catalogs where people search by spec
    Infinite scrollEffortless browsingFooter unreachable, place lost on back button, heavy pagesVisual, inspiration-led browsing on mobile
    Load more buttonContinuous list, reachable footer, user stays in controlNeeds work to restore position on backMost ecommerce categories

    Whichever you choose, fix the back button. When a shopper opens a product and returns, they should land on the same product in the list with the same filters and sort applied. Losing that position is a quiet source of exits. For search engines, make sure products beyond the first batch are also reachable through crawlable links.

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    What should happen when a filter returns no results?

    A no-results state should explain why, and offer the quickest way back to products. A blank grid with "No products found" ends the visit.

    Better options include: name the filters that caused it and offer to remove the most restrictive one; show close matches, such as the same style in a neighboring size; suggest related categories; and keep the search box and filters visible. Better still, prevent most empty states by showing result counts on filter values and disabling values that would return nothing.

    How do you audit a category page step by step?

    Pick your highest-traffic category and work through it on a phone first:

    1. Check the data. In analytics, find categories with many views but few product page clicks. Start with the worst one.
    2. Act as a shopper. Pick a realistic need, such as "waterproof hiking boots, size 10, under $150", and try to find matches.
    3. Test filters. Are the attributes you needed there? Can you choose several values? Do applied filters show clearly?
    4. Test sorting. What is the default? Are out-of-stock items near the top?
    5. Review cards. Can you compare price, color options and ratings without opening products?
    6. Test the back button. Open the fifth product, go back, and check whether filters, sort and scroll position survived.
    7. Force an empty result. Combine filters until nothing matches and judge what the page offers.
    8. Fix, then compare. Change the biggest problem first and compare the category's click-through to product pages before and after.

    Click and scroll data show where shoppers stall in the grid. Our heatmap analysis guide covers how to read it on listing pages.

    What does this look like on a real store?

    Consider a hypothetical outdoor gear store with a "Hiking boots" category of 140 products. Filters are generic: brand, price, color. Size and waterproofing exist only in product descriptions. The default sort is "Newest", so sold-out preorders fill the first row. Cards show a name and price only. Infinite scroll loads more products, but the back button returns shoppers to the top.

    The fixes: add size, width, waterproof and use (day hike, backpacking) filters, built from cleaned product data. Change the default sort to best selling with out-of-stock items last. Add ratings and a "Waterproof" spec line to cards. Switch to a "Load more" button that restores position. Replace the empty state with "No waterproof boots in size 14. See size 14 in all boots, or waterproof boots in size 13."

    Key takeaways

    • Build filters from the attributes customers use to decide, per category, on clean product data.
    • Default sort should surface relevant, in-stock, well-reviewed products first.
    • Product cards need image, name, price and one or two deciding details, not a stack of badges.
    • "Load more" is a safe default; whichever pattern you pick, restore position on the back button.
    • Design the no-results state so it always offers a next step.

    For the rest of the funnel, see our ecommerce CRO guide. A free CRO audit on EyeCaptain reviews one category page on desktop and mobile and ranks the changes by impact.

    Frequently asked questions

    How many products should a category page show at once?

    There is no single right number. Show enough to fill several rows on desktop and a few screens on mobile without slowing the page. Start with a batch that loads fast on a mid-range phone, then measure page speed and how far shoppers scroll, then adjust. A fast page with a "Load more" button beats a huge, slow initial load.

    Should filters be on the left side or at the top?

    Both work. A left sidebar suits categories with many filter types because all options stay visible while scrolling. A horizontal bar at the top saves space and works well with fewer, high-priority filters. On mobile, use a sticky filter button that opens a full-screen panel. Choose based on how many filters your category truly needs.

    Is quick add to cart on category pages a good idea?

    It helps for simple products and repeat purchases, such as consumables, where shoppers already know what they want. It works poorly when size, fit or configuration matters, because shoppers either pick the wrong option or open a variant picker that duplicates the product page. Test it on one category before rolling it out sitewide.

    Do category pages matter for SEO?

    Yes. Category pages often rank for broad commercial searches such as "women's running shoes", so they deserve unique titles, a short helpful intro and crawlable links to products. Keep any intro text brief so products appear quickly, and avoid creating thousands of indexable filter combinations that duplicate each other. Canonical tags help control which versions get indexed.

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    About the author

    Founder of EyeCaptain. Writes about conversion rate optimization, UX analysis and the neuromarketing behind pages that actually sell.

    More articles by Dimitris Andreadakis