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Fashion Product Shots: Flat Lay vs On-Model (2026)

Giles Thomas
By Giles ThomasLast updated April 16, 2026
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If you sell apparel online, your images do a lot of the conversion work before a shopper reads a single line of copy. Strong fashion product shots help customers judge fit, fabric, styling, and overall brand quality. Weak images create hesitation, especially on mobile where shoppers make fast decisions. For most stores, the real question is not whether to improve product shots photography, but which format to prioritize first: flat lay, on-model, or a mix of both. This guide breaks down how each approach works, where AI fits, and how to choose the right setup for your catalog. If you want a broader foundation first, start with our guide to photography fashion model strategies for ecommerce.

Contents

  • Why fashion product shots matter for ecommerce
  • Flat lay vs on-model: what changes in performance
  • Ghost mannequin vs flat lay vs on-model: when to use each
  • Techniques that improve apparel product shots
  • Shot list templates and the best image sequence for Shopify
  • Where AI product shots fit into your workflow
  • Fashion product shot ideas for social and ads (without hurting PDP clarity)
  • Pros and Cons
  • Who this approach is for
  • How to choose the right shot mix
  • Frequently Asked Questions
  • Key Takeaways
  • Conclusion
  • Why Fashion Product Shots Matter for Ecommerce

    Fashion product photography is not just a creative decision. It affects click-through rate from collection pages, perceived value on product pages, and how confident a customer feels adding to cart. In apparel, shoppers cannot touch fabric, test drape, or try a size. Your imagery has to reduce that uncertainty.

    Flat lay shots are useful because they are consistent, efficient, and clean. They work well for catalogs, merchandising blocks, and stores with many SKUs. On-model shots add context that a hanger or folded setup cannot. They help shoppers understand proportions, styling, and how a garment behaves on a real body.

    Many growth-stage stores end up using both. The best mix depends on your price point, brand style, and how often you launch new products. If you sell trend-led apparel, your customers may need more styling context. If you run a basics brand with high SKU turnover, speed and consistency may matter more.

    For a wider view of category-specific approaches, see the Fashion & Apparel Photography hub.

    Flat Lay vs On-Model: What Changes in Performance

    Flat lay product shots place garments on a flat surface, usually styled from above. They are popular for tees, knitwear, kidswear, accessories, and coordinated outfits. This format helps you standardize lighting, angles, and image cropping across large product ranges. It is often the fastest way to produce clothing product shots in volume.

    On-model product shots show garments worn by a person. This adds shape, proportion, and motion. It also gives you more room to communicate brand identity, from minimalist studio styling to editorial lifestyle product shots.

    From an ecommerce perspective, here is the trade-off:

  • Flat lay is usually faster to produce and easier to scale.
  • On-model often communicates fit more clearly.
  • Flat lay can be more consistent across large catalogs.
  • On-model may create a stronger emotional response for fashion-led brands.
  • Flat lay is often less expensive than repeated model shoots, but costs vary by team and setup.
  • If you already shoot garments in studio, refining your clothing photography workflow may deliver more value than adding complexity too early.

    For many Shopify stores, the practical setup is one clean hero image for consistency, then 2 to 4 supporting images that show fit, detail, and styling. That gives shoppers clarity without overwhelming your production process.

    fashion-product-shots-studio-workflow-for-ecommerce-clothing-product-shots-and-p.jpg

    Ghost Mannequin vs Flat Lay vs On-Model: When to Use Each

    Here is the thing, many apparel catalogs do not sit neatly in a flat lay versus on-model decision. There is a third option that a lot of established fashion brands use for structured garments: the ghost mannequin shot, sometimes called an invisible mannequin image. It sits in the middle because it shows shape and structure like on-model, but keeps the consistent, catalog-friendly feel of studio photography.

    A ghost mannequin setup typically means the garment is photographed on a mannequin, then the mannequin is removed in post-production. The goal is a clean, natural-looking silhouette with visible inner details like the back of a collar, lining, or the inside of a hood, without showing a model.

    Where ghost mannequin usually beats flat lay

    Flat lay is strong for speed and consistency, but it can struggle with garments where structure sells the product. Jackets, blazers, coats, tailored dresses, and anything with a defined shoulder line typically looks more “true to life” in a ghost mannequin shot. You are showing how the garment holds its shape in the real world, not how it looks when it is flattened.

    For Shopify product pages, this can matter because shoppers often zoom to evaluate construction. If the garment looks collapsed in the hero image, you are asking them to work harder to imagine it on-body.

    Where on-model still wins

    Ghost mannequin is not a fit solution. It will not show how a waist sits on a real person, how fabric drapes in motion, or how a neckline looks on a body. If your product is bought primarily based on fit and styling, such as denim, activewear, bodycon dresses, or high-waist silhouettes, on-model images tend to do more conversion work.

    Think of ghost mannequin as “shape clarity,” not “fit certainty.”

    Practical decision rules by garment type

    From a practical standpoint, these rules work well for most Shopify apparel catalogs:

  • Tops (tees, knitwear, basic shirts): flat lay is often enough if you include at least one close-up of fabric and one clear back view. Add on-model if fit is a key differentiator or you rely heavily on social acquisition.
  • Outerwear and tailored items (blazers, coats, structured jackets): ghost mannequin is often the most “catalog scalable” option that still shows structure. Add on-model for hero SKUs or best sellers where fit and styling drive the purchase.
  • Bottoms (denim, trousers, skirts): on-model usually helps the most because rise, leg shape, and proportions are hard to communicate flat. If you cannot shoot on-model, a mannequin or ghost mannequin shot can still help more than flat lay for shape.
  • Dresses and jumpsuits: on-model is often the clearest for drape and silhouette. Ghost mannequin can be a strong alternative for structured dresses if you also include detail shots and a clear back view.
  • Accessories (hats, bags, jewelry): flat lay can be great, but scale becomes the main risk. In many cases, a “held” or on-person scale image is the supporting shot that reduces hesitation.
  • When a hybrid set makes sense

    What many store owners overlook is that you do not need one format for everything. A hybrid set can keep production manageable while giving shoppers what they need:

  • Use a consistent hero system for the whole catalog, such as flat lay for basics or ghost mannequin for structured apparel.
  • Add on-model as secondary images for categories where fit sells, or for your top revenue SKUs.
  • This approach also helps when you have multiple colorways or variants. You can keep silhouettes comparable in the first image, then use the supporting images to handle fit and styling. That consistency can make collection pages feel cleaner, which often improves browsing and comparison.

    A production reality check for Shopify catalogs

    Consistency beats ambition. Ghost mannequin can look great, but it adds steps: garment prep, pinning, mannequin alignment, and more detailed retouching. If your team cannot keep the same shoulder width, neckline shape, and crop across items, the whole catalog can start to look uneven.

    Before you commit, consider your turnaround time and season-over-season repeatability. If you plan to reshoot collections or add replenishments later, you will want documented camera height, crop guides, and editing settings so a “navy blazer” shot in March does not look like it belongs to a different store than the “navy blazer” shot in September.

    Techniques That Improve Apparel Product Shots

    The best product shot is usually the one that answers the shopper's next question. These techniques help both flat lay and on-model images work harder on product pages.

    1. Keep lighting consistent across the catalog

    Color inconsistency is one of the fastest ways to increase returns in fashion. Use the same lighting setup, white balance, camera height, and editing process for each collection. If you are building an in-house workflow, this is where a repeatable product photography studio process matters.

    2. Prioritize the hero image

    Your first image needs to be legible at thumbnail size. Avoid props or styling choices that hide the actual garment. For collection pages, shoppers should immediately understand silhouette, color, and category.

    3. Add close-ups that answer fit and quality questions

    Detail shots of stitching, fabric texture, waistbands, buttons, collars, and hems help support purchase confidence. This is especially important for premium apparel where material quality affects perceived value.

    4. Show shape clearly

    For flat lay, steam garments, pin where needed, and use subtle shaping so pieces do not look lifeless. For on-model, choose poses that reveal garment structure without twisting the item unnaturally.

    5. Shoot with mobile in mind

    Most shoppers will view your product shots on a phone. Test images in collection grids, product galleries, and zoom mode. What looks polished on desktop can lose clarity fast on smaller screens.

    6. Match image style to your buying journey

    Simple background product shots work well for comparison. Styled imagery helps with inspiration. If you rely on social acquisition or editorial landing pages, lifestyle product shots can support a stronger brand feel. The right balance depends on how your customers discover and evaluate products.

    Shot List Templates and the Best Image Sequence for Shopify

    Most stores do not have an image problem, they have a shot planning problem. You end up with six images, but two are basically the same angle, one is cropped differently, and none show the detail that customers actually ask about.

    Consider this: shoppers scroll your Shopify product gallery in a predictable pattern. They want a fast confirmation of “what is it,” then “what does it look like from the back,” then “what is it made of,” then “how will it fit on me,” then “what is the scale.” If you build your shot list around that sequence, your photography starts working like a sales tool, not just decoration.

    Minimum viable set vs premium set (by product type)

    If you are trying to move faster, start with a minimum viable set you can repeat perfectly. Then add premium shots where they will matter most, such as best sellers, higher price point pieces, or products you push with paid traffic.

  • Tees and basic tops Minimum viable: hero (front), back, fabric close-up, neckline or branding detail. Premium: on-model front, on-model side, on-model back, fold or flat lay for a clean merchandising alternative.
  • Dresses Minimum viable: hero (front), back, fabric close-up, key construction detail (zipper, lining, straps). Premium: on-model front, on-model walking or motion shot, close-up on waist or bust construction, hem detail to show length and drape.
  • Denim and trousers Minimum viable: hero (front), back, waistband detail, fabric texture, hem opening detail (especially for wide leg or tapered fits). Premium: on-model front, on-model side, on-model back, pocket detail, stretch or rigidity detail where relevant.
  • Activewear Minimum viable: hero (front), back, fabric texture, seam and construction detail (compression panels, waistbands). Premium: on-model front, on-model back, movement shot that shows stretch, close-up on key performance features.
  • Accessories (hats, bags, jewelry) Minimum viable: hero, alternate angle, closure or interior detail, scale reference image (on-body or in hand). Premium: lifestyle variation, detail macro shot, what-fits-inside image for bags, on-body scale set from multiple angles.
  • For most Shopify store owners, a “minimum viable” shot list is the difference between a complete catalog and a half-finished launch. A premium set is how you make your top products feel expensive and trustworthy without turning every SKU into a full production day.

    Shopify does not force one image sequence, but your first few frames do the heavy lifting. A clean, consistent order also helps when customers swipe quickly on mobile.

  • Image 1 (hero): the cleanest, most legible front view. If you use flat lay, keep the silhouette centered and consistent. If you use on-model, keep styling minimal and avoid poses that hide the garment.
  • Image 2 (alternate angle): side or three-quarter view to confirm shape.
  • Image 3 (back view): this is the most commonly missed shot, and it often answers return-preventing questions.
  • Image 4 (detail): fabric texture, stitching, hardware, buttons, waistband, collar, or print quality.
  • Image 5 (fit or scale): on-model if available, or a clear scale reference for accessories.
  • Image 6 (supporting): styling context, lifestyle, or a second fit angle.
  • If your primary style is flat lay, move detail shots earlier. Flat lay heroes can undersell material quality, so showing texture and construction in the first few swipes can help. If your primary style is on-model, make sure the back view and at least one clean detail shot still appear before you get into more editorial frames.

    Common execution pitfalls that quietly hurt conversions

    These issues show up constantly on real Shopify catalogs, and they are usually fixable without reshooting everything:

  • Cropping inconsistency: your collection page grid looks messy because each hero is framed differently. Create a crop guide and stick to it.
  • Unclear scale: customers cannot tell if a bag is tiny or oversized, or how long a dress actually reads visually. Include one dedicated scale image.
  • Missing back view: shoppers expect it. Not showing it can create hesitation, especially for dresses, jackets, and bottoms.
  • No fabric detail: premium pricing without close-ups forces shoppers to guess, and guessing is where carts die.
  • Variant confusion: different colorways are shot in different lighting or styling, so customers cannot compare. Standardize lighting and keep silhouette consistent across variants.
  • The way this works in practice is simple: build a repeatable shot list per category, document it, then train everyone involved to follow it. That is how you scale photography without losing the look that makes your brand feel trustworthy.

    fashion-product-shots-showing-ghost-mannequin-flat-lay-and-on-model-clothing-pro.jpg

    Where AI Product Shots Fit Into Your Workflow

    AI can help fashion teams speed up post-production and create more image variations, but it works best as a workflow tool, not as a substitute for product accuracy. For store owners, the practical use cases are usually background cleanup, white background creation, light retouching, and generating extra merchandising assets once your core product imagery is in place.

    AcquireConvert readers exploring ai fashion workflows often start with simple production tasks first. That is usually the right move. If your PDP images are inconsistent, AI should support standardization before you experiment with heavier creative changes.

    Based on current product data, useful options include:

  • AI Background Generator for creating alternate scene backgrounds.
  • Free White Background Generator for catalog-style images.
  • Increase Image Resolution when source files are usable but need output support.
  • Background Swap Editor for alternate merchandising looks.
  • Place in Hands for selected accessory and beauty-style compositions.
  • If your goal is fully synthetic apparel imagery, evaluate it carefully. AI product shots may help with concept testing or campaign support, but product pages still need trustworthy representation of color, fabric, and construction. For stores weighing that route, our guide to an ai clothing generator is a useful next step.

    Fashion Product Shot Ideas for Social and Ads (Without Hurting PDP Clarity)

    Once your core product shots are consistent, you can create variations that work harder for acquisition. The key is keeping your Shopify PDP imagery accurate, then using more creative frames for ads, social, and email where you need thumb-stopping visuals.

    The reality is that ad creative is allowed to be a little louder than your product gallery, but it should still be honest. If your ad implies a different fabric, a different color, or a different fit than the product page shows, it can drive low-quality clicks and increase returns.

    Campaign variations that are safe for most apparel brands

    These ideas usually work because they add context without changing the garment itself:

  • Seasonal colorways: keep the garment the same, vary surrounding styling cues like props, lighting warmth, or background tone to match seasonal campaigns.
  • Simple lifestyle scenes: a clean wall, a doorway, or an outdoor neutral background can feel more “real” than a full editorial set, while still keeping the product easy to evaluate.
  • UGC-style frames: handheld phone-style images can work well for Meta ads, especially if you keep the garment clearly visible and avoid heavy filters that shift color.
  • Outfit pairings: show one hero piece with complementary items to demonstrate styling. Make sure it is obvious what is included versus what is just styling.
  • Detail-first openers: start with a macro texture or hardware shot as the first frame in a carousel, then reveal the full garment. This can work well for premium materials or craftsmanship-led brands.
  • How to repurpose product shots for Meta ads, Instagram, and email

    For most Shopify stores, repurposing is about cropping and sequencing, not reshooting.

  • Square crops: useful for Instagram feed and many placements. Keep the garment centered and avoid cropping out key elements like waistlines or hems.
  • Vertical crops: often strong for Stories and Reels placements. Leave space above and below for UI overlays so the garment is not covered by buttons or captions.
  • Thumb-stopping first frame: for carousels, lead with your clearest silhouette or your strongest detail, depending on what sells the product. Then follow with back view and fit context.
  • Brand consistency: use the same background tone, shadow style, and color grading across a campaign so the creative looks like it came from one brand, not five different shoots.
  • Now, when it comes to protecting PDP clarity, keep your most accurate frames on the product page. Use ads and social to add context, but funnel shoppers back to a gallery that answers questions clearly.

    Where AI helps generate variations safely, and where to avoid it

    AI can be a practical production assistant here, but only if you set boundaries.

  • Safer uses: background swaps that do not bleed onto the garment, clean cutouts, consistent shadows, alternate crops for placements, and simple overlays that do not cover product details.
  • Higher-risk uses: changing garment details, logos, patterns, textures, or adding “fake” fabric drape. Even small changes can create a mismatch between what a shopper expects and what arrives.
  • If you are using AI outputs in ads, do a quick manual check against the real product photos before you publish. This is one of those areas where a two-minute review can prevent a week of customer service issues.

    Pros and Cons

    Strengths

  • Flat lay fashion product shots are efficient for large catalogs and frequent product drops.
  • On-model shots communicate fit, drape, and styling more clearly than flat static images.
  • A mixed image strategy often supports both conversion clarity and brand presentation.
  • Consistent product shots can improve perceived professionalism across collection and product pages.
  • AI tools can reduce editing time for background cleanup, alternate crops, and standardization tasks.
  • Clear apparel imagery may lower shopper uncertainty, especially for mobile-first buying journeys.
  • Considerations

  • On-model shoots usually require more coordination, including casting, styling, scheduling, and retouching.
  • Flat lay can undersell premium garments if the styling and shaping are weak.
  • AI-generated or heavily edited images can create trust issues if they drift too far from the real product.
  • Maintaining consistency across seasons, photographers, or studio setups takes discipline and documentation.
  • fashion-product-shots-shot-list-with-ai-product-shots-editing-workflow-for-fashi.jpg

    Who This Approach Is For

    This evaluation is for apparel brands, Shopify merchants, and ecommerce teams deciding how to structure product imagery without wasting time or overspending on the wrong format. If you are launching a new clothing store, flat lay may give you a faster path to a complete catalog. If you already have traffic but need stronger product page engagement, adding on-model imagery could help shoppers better understand the product.

    It is also relevant if you are testing AI-supported production. Many merchants do not need a fully new photography system. They need a more consistent one that fits their SKU count, margin profile, and merchandising goals.

    How to Choose the Right Shot Mix

    There is no single fashion product perfect format for every store. The right choice depends on how you sell, what you sell, and what your team can repeat consistently. These are the criteria that matter most.

    1. Catalog size and launch frequency

    If you release dozens of new SKUs each month, flat lay or mannequin-based workflows are often easier to maintain. They help protect consistency and turnaround time. If you launch smaller curated collections, on-model production may be easier to justify.

    2. Product complexity

    Some garments need body context. Dresses, denim, tailoring, activewear, and fitted styles usually benefit from on-model images. Simpler items like graphic tees, scarves, socks, or accessories can perform well with strong flat lay product shots plus a few styled images.

    3. Brand positioning

    If your store competes on style, aspiration, or editorial identity, on-model and lifestyle content may carry more weight. If your store competes on clarity, breadth, and fast merchandising, simple catalog photography may be the stronger base. If lifestyle context matters, the Lifestyle Product Photography category is worth reviewing.

    4. Team capabilities

    Be honest about what your team can execute every week, not just on launch week. A reliable in-house process usually beats a more ambitious setup that creates backlogs. This is especially important for Shopify merchants managing collection pages, campaign assets, and paid social creative with a small team.

    5. AI readiness

    AI works best when your base images are already clean. Start with background removal, white background standardization, and selective retouching. Then test creative product shots or alternate scenes for email, ads, or landing pages. Keep core PDP images accurate and consistent.

    At AcquireConvert, we tend to recommend a staged approach for most fashion brands:

  • Start with one clean hero image style across the full catalog.
  • Add on-model images for products where fit is central to buying decisions.
  • Use detail shots for quality signals and fabric clarity.
  • Test AI-assisted editing where it saves time without compromising trust.
  • Review image performance by collection page clicks, PDP engagement, and return-related feedback.
  • That approach reflects how many practical store owners work. It keeps production manageable while still improving the buying experience.

    AcquireConvert publishes this kind of guidance through the lens of real ecommerce operations. Giles Thomas brings both Shopify Partner and Google Expert experience to the topic, which is useful when product imagery decisions affect not only conversions but also merchandising, paid traffic performance, and overall store presentation. If you want to compare related visual workflows, check our connected guides on clothing photography, AI-led fashion imagery, and studio setup planning.

    Frequently Asked Questions

    Are flat lay or on-model fashion product shots better for Shopify stores?

    It depends on what you sell. Flat lay works well for high-volume catalogs and simple garments. On-model is often stronger for showing fit, drape, and styling. For many Shopify stores, the best setup is a clean flat or front-facing hero image plus supporting on-model shots for context.

    How many product shots should a clothing product page have?

    Most apparel product pages benefit from at least 4 to 6 images. A typical sequence is hero image, alternate angle, close-up detail, back view, and one or two on-model or styled images. The goal is to answer likely buying questions without making the gallery feel repetitive.

    Can AI product shots replace a fashion product photographer?

    Usually not completely. AI can help with editing, background changes, and asset variation, but product accuracy still matters. If the generated result changes color, fit, texture, or garment details too much, it may weaken trust. AI is most useful as a support tool within a controlled workflow.

    What background works best for clothing product shots?

    White or neutral backgrounds are still the safest choice for hero images because they keep attention on the garment and support consistency across collection pages. Styled or contextual backgrounds can work well in secondary images or campaigns, especially for brands using editorial or lifestyle merchandising.

    Do lifestyle product shots improve conversion rates?

    They can help some stores, especially when styling and use context are part of the buying decision. That said, lifestyle images usually work best as support, not as the only product imagery. Shoppers still need clear, undistracted views of the actual garment before they buy.

    What is the biggest mistake in fashion product photography?

    The most common issue is inconsistency. Mixed lighting, weak color accuracy, different crops, and unclear image sequencing make stores feel less trustworthy. The second major issue is using artistic styling that hides the product rather than helping a shopper evaluate it quickly.

    Are 3D product shots useful for fashion ecommerce?

    They can be, but not for every store. 3D product shots may help with interactive visualization, premium presentation, or advanced merchandising experiments. For most apparel brands, strong standard photography and fit-focused imagery will usually deliver more immediate value than moving straight into 3D.

    How do I make flat lay shots look less lifeless?

    Steam garments, shape them carefully, keep symmetry tight, and add subtle styling only where it supports clarity. Pay close attention to sleeves, collars, hems, and waistlines. A flat lay looks weak when the garment appears crumpled or collapsed, not because the format itself is limited.

    Should small fashion brands invest in on-model imagery early?

    If fit and silhouette are central to your products, yes, it may be worth adding on-model shots early, even if only for your best sellers. If resources are limited, prioritize a consistent hero image system first, then introduce model imagery where it is most likely to reduce hesitation.

    What is a ghost mannequin shot, and is it better than flat lay for clothing?

    A ghost mannequin shot is a product photo where the garment is photographed on a mannequin, then the mannequin is removed in post-production so the clothing appears to hold its shape on its own. It can be better than flat lay for structured items like jackets, blazers, and tailored dresses because it shows silhouette and construction more clearly. Flat lay can still be the better choice for speed, consistency, and simpler garments, especially if you include a back view and fabric detail shots.

    How do you take clothing product photos at home that look professional?

    Start by making consistency your goal. Use one spot with predictable light, keep the camera position fixed, and repeat the same crop across products. A simple setup is a plain wall or backdrop near a large window, plus a reflector or white foam board to soften shadows. Steam the garment, shape it carefully for flat lay, and take at least one close-up that shows fabric texture. Then review your images in Shopify thumbnail and zoom views before you shoot the next SKU, because small issues are easier to fix early than after you have photographed your whole catalog.

    What camera settings and lens are best for fashion product photography?

    You can get strong results with a modern phone or a dedicated camera, but the principles are the same. Use low ISO to reduce noise, keep a reasonably fast shutter speed to avoid blur, and aim for consistent white balance so colors do not shift across your catalog. If you use an interchangeable-lens camera, a standard focal length lens often works well because it avoids distortion that can change the look of garments. Use a tripod where possible so framing and sharpness stay consistent, especially for repeatable Shopify hero images.

    How do you style clothing product photos for Instagram and ads without misleading customers?

    Keep your product page images accurate, then create styled variations for social and ads that add context without changing the garment. Use consistent color grading, avoid heavy filters that shift fabric color, and make sure the ad still shows key details like silhouette and length. If you use AI tools for backgrounds or variations, review outputs carefully so logos, textures, and construction details do not change. The goal is to make the creative more engaging while still setting correct expectations about what will arrive.

    Key Takeaways

  • Use flat lay fashion product shots when speed, consistency, and catalog coverage are the top priorities.
  • Add on-model images where fit, drape, or styling context strongly influences conversion.
  • Keep hero images clean and standardized before expanding into lifestyle or creative product shots.
  • Use AI to support editing and asset production, not to compromise product accuracy.
  • Build an image workflow your team can repeat across every launch, not just your flagship collection.
  • Conclusion

    The best fashion product shots are the ones that help shoppers make a confident decision with less friction. For some stores, that starts with flat lay consistency. For others, on-model imagery is essential because fit sells the product. In practice, most apparel brands benefit from a blended approach that balances scale, clarity, and brand presentation. If you are refining your visual strategy, AcquireConvert is built for this kind of ecommerce decision-making. Explore our related guides on photography fashion model techniques, AI fashion workflows, clothing photography systems, and studio planning to build a setup that fits your catalog and your team. Giles Thomas's Shopify Partner and Google Expert background helps keep that advice grounded in how online stores actually grow.

    This article is editorial content published by AcquireConvert for educational purposes. It is not a paid endorsement unless explicitly stated otherwise. Pricing, product features, and tool availability are subject to change and should be verified directly with each provider. Any discussion of conversion impact reflects general ecommerce practice and does not guarantee specific business results.

    Giles Thomas

    Hi, I'm Giles Thomas.

    Founder of AcquireConvert, the place where ecommerce entrepreneurs & marketers go to learn growth. I'm also the founder of Shopify agency Whole Design Studios.