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Tag: Counterfeit Listings

  • The Counterfeit Comes Back Through Your Own Return Desk

    The Counterfeit Comes Back Through Your Own Return Desk

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    Marketplace Protection

    The Counterfeit Comes Back Through Your Own Return Desk

    Truviss TeamAug 15, 20266 min read
    Counterfeit Listings IP Infringement
    Verify at the point of sale and beyond

    Truviss’s Marketplace Scanner applies SKU-level matching to catch counterfeit listings before they ever reach a customer.

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    Counterfeit return fraud swap cover
    TL;DR
    • Return-swap fraud runs the opposite direction of every other counterfeit risk: the customer buys genuine, returns a fake, and keeps the real item.
    • NRF and Happy Returns’ 2025 Retail Returns Landscape report found $76.5B (9%) of $849.9B in 2025 US retail returns was fraudulent, and 64% of retailers tracking fraud reported an increase in counterfeit decoy returns.
    • The risk is two-stage: the direct refund loss, plus the compounding risk of an undetected fake being restocked and resold as genuine.
    • This fraud happens entirely inside a retailer’s own return process, invisible to marketplace, domain, or social-media monitoring.

    Every other counterfeit risk covered so far enters through a sale, a marketplace listing, a lookalike domain, a social post promising a discount. This one enters through the opposite direction entirely. A customer buys the genuine product, swaps in a counterfeit or damaged substitute, and returns the fake for a full refund, keeping the real item for themselves. According to NRF and Happy Returns’ 2025 Retail Returns Landscape report, published in October 2025, of $849.9 billion in total US retail returns for 2025, roughly $76 billion, about 9%, was fraudulent. Among retailers tracking fraud incidents specifically, 64% reported an increase in decoy returns involving counterfeit items swapped in for the genuine product.

    How the swap actually works

    The mechanism is straightforward, and it targets specific categories deliberately. Designer handbags, jewelry, watches and other high per-unit-value goods that are easy to replicate convincingly enough to pass a quick visual check at a return desk are the most common targets. Four trends make this easier to pull off now than it used to be: the fakes themselves are cheaper and more convincing than they were even a few years ago, e-commerce growth means many returns never face an in-person checker at all, more generous return policies remove friction that used to slow fraud down, and new technology, including AI, is increasingly used to fabricate supporting documents like receipts.

    Why this is a two-stage risk, not one

    The immediate loss is straightforward: a refund issued for a product the retailer no longer actually has, replaced by something worth a fraction of the price. But the compounding risk is worse. If the counterfeit substitute isn’t caught at intake, it can be restocked and sold to a real customer as genuine, at which point a return-fraud incident quietly becomes an actual counterfeit sale under the brand’s own name, the exact failure mode this blog has already covered from a dozen other angles this year, just arriving through a completely different door.

    See how Truviss applies SKU-level matching to verify products against the real catalogue, wherever they appear.

    Explore Marketplace Scanner

    Why this sits outside normal brand-protection monitoring entirely

    Marketplace monitoring, domain monitoring and social-media monitoring all watch for a counterfeit trying to reach a customer through a sale, a listing going live, a lookalike domain registering, a post going up. This fraud pattern happens entirely inside a retailer’s own physical or logistics operation, after a sale has already closed, which means none of those monitoring types are built to see it at all. It’s not a gap in how well any of them work, it’s a category of risk sitting in a completely different part of the operation, one that needs its own verification step rather than an extension of listing or domain monitoring.

    What verification at the point of return would need

    The same underlying principle used elsewhere in brand protection, matching a specific unit against verified product data rather than trusting appearance alone, applies here too, just pointed at inbound returns instead of outbound listings. Serial numbers, authentication markers, or catalogue-level product verification checked at the point of intake is what catches a swap before the counterfeit re-enters inventory, rather than discovering it only when a real customer complains about receiving a fake from a retailer they trusted.

    Getting started

    A brand or retailer handling high-value, easy-to-replicate categories, jewelry, watches, designer goods, should treat return intake as seriously as any other counterfeit checkpoint in the business. A fraud pattern invisible to marketplace or domain monitoring can still put a counterfeit product back into circulation under the brand’s own name, and by the time it surfaces as a customer complaint, the fraud has already happened twice, once at the swap, and again at the resale.

  • Why Counterfeit Chargers Are a Safety Problem

    Why Counterfeit Chargers Are a Safety Problem

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    Marketplace Protection

    Why Counterfeit Chargers Are a Safety Problem

    Truviss TeamAug 15, 20266 min read
    Counterfeit Listings IP Infringement Unauthorised Resellers
    Catch it before it reaches a wall socket

    Truviss’s Marketplace Scanner matches listings against your real catalogue at SKU level, catching counterfeit accessory listings continuously.

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    Counterfeit chargers safety risk cover
    TL;DR
    • In May 2025, CBP seized 370,000+ counterfeit Apple-branded chargers at the Port of Houston, worth over $7 million, some boxed to also mimic Anker’s logo.
    • A 2016 UL study found 99% of 400 counterfeit Apple chargers tested failed basic safety tests, only 3 had adequate shock protection.
    • Even genuine, certified electronics get recalled (Anker recalled 1M+ of its own power banks in 2025), but that happens inside a testing and recall system. Counterfeits have none of that.
    • Customs seizures happen at the border; brand-side monitoring is what catches listings already live and selling before a customer plugs something dangerous in.

    In May 2025, US Customs and Border Protection seized more than 370,000 counterfeit chargers bearing the Apple trademark at the Port of Houston, worth over $7 million at genuine retail prices, packed into 7,460 cartons. Inside some of those cartons, officers found charger boxes labeled “Ankar,” closely mimicking Anker’s own logo, a second counterfeit nested inside a shipment already counterfeiting a first brand. That single detail says more about the scale and sophistication of counterfeit electronics operations than the dollar figure on its own. Whoever built this shipment wasn’t opportunistically faking one product, they were running an operation sophisticated enough to counterfeit two different brands’ packaging within the same load.

    The safety stakes are physical, not just financial

    Most counterfeit categories carry financial and reputational risk. Counterfeit chargers carry that too, but they add something most categories don’t: an immediate, physical failure mode. A 2016 UL-commissioned study of 400 counterfeit Apple chargers bought online found that 99% failed basic safety tests, and only three of the 400 had sufficient insulation to protect against electric shock. That’s a decade-old study, not new data, but the underlying physics it exposed, cheap or absent isolation transformers, no safety certification, no quality control, hasn’t changed simply because a decade has passed. A counterfeit charger doesn’t fail the way a counterfeit listing for a handbag or a lipstick fails. It fails by overheating, shorting, or catching fire, in someone’s hand or plugged into their wall.

    A necessary distinction: counterfeit risk versus genuine-product recalls

    It’s worth being precise here, because even genuine, certified electronics from known brands sometimes get recalled too. Anker recalled more than a million of its own authentic PowerCore power banks in June 2025 after 19 reports of fires and explosions. That’s a real safety issue, and it’s a serious one, but it happened inside a testing, reporting and recall infrastructure that caught the problem and acted on it. A counterfeit product has none of that infrastructure at all. No safety testing before it ships, no manufacturer accountable for a recall, no traceable batch or serial number tying a specific unit back to a specific failure. A genuine product’s recall is the floor of acceptable risk in this category, the system working as intended, even if imperfectly. An untested counterfeit starts below that floor with effectively zero visibility into what’s actually inside it.

    See how Truviss matches listings against your real catalogue at SKU level, across every marketplace, not just the ones with dedicated brand-registry tools.

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    The scale, in proper context

    The Houston seizure wasn’t an isolated event. In April 2026, Philadelphia CBP seized two shipments from China containing more than 20,000 pieces across 35 different types of counterfeit consumer electronics, including chargers, headphones, cameras and gaming systems. Nationally, CBP seized over 78 million counterfeit items across all categories in fiscal year 2025, worth an estimated $7.3 billion at genuine retail prices. That figure spans every counterfeit category CBP tracks, not electronics specifically, but it establishes the scale of the pipeline that a shipment like the Houston one moves through.

    Why this needs brand-side monitoring, not just customs enforcement

    Customs seizures happen at the border, after a shipment has already been built and is already moving, and they catch what gets caught, not everything that gets through. A brand’s own continuous SKU-level matching, applied to marketplace monitoring, is what catches the listings that make it past the border and are already live and selling, before a customer plugs a dangerous counterfeit into their phone or a wall socket rather than after. The two aren’t redundant, customs enforcement disrupts supply at scale, brand monitoring catches what reaches the point of sale, but relying on customs alone leaves the entire retail side of the problem unmonitored.

    Getting started

    Any brand selling charging accessories, or with a high-value accessory line attached to a core product, phone chargers, laptop adapters, power banks, should treat counterfeit monitoring here with the same urgency as any product-safety issue, not just a line item under IP protection. The downside of a missed counterfeit listing in this category isn’t a bad review or a lost sale. It’s a real fire or burn risk happening under the brand’s own name, to a customer who has no way of knowing the difference until it’s already too late.

  • 67% of Online Cosmetics Are Fake, Investigation Finds

    67% of Online Cosmetics Are Fake, Investigation Finds

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    Marketplace Protection

    67% of Online Cosmetics Are Fake, Investigation Finds

    Truviss TeamAug 15, 20266 min read
    Counterfeit Listings IP Infringement Marketplace Monitoring
    Catch what a smell test can’t

    Truviss’s Marketplace Scanner matches listings against your real catalogue at SKU level, across TikTok Shop, Vinted and every marketplace, not just the largest ones.

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    Counterfeit cosmetics investigation cover
    TL;DR
    • Which?, the UK consumer body, bought 34 cosmetics from Amazon, eBay, TikTok Shop and Vinted under household names. 23 of 34, 67%, were judged likely counterfeit.
    • TikTok Shop and Vinted came out worst (5/6 and 6/6), against Amazon (4/11) and eBay (8/11).
    • A counterfeit cosmetic can look, smell and feel correct while containing a completely different, unregulated formulation, unlike most counterfeit categories where a visual flaw is often visible.
    • Counterfeit cosmetics have been found containing lead, mercury and DEHP, a probable human carcinogen, a genuine safety exposure sitting under the brand’s own name.

    Which?, the UK consumer body, bought 34 cosmetic products from third-party sellers on Amazon, eBay, TikTok Shop and Vinted, all advertised as household names, Charlotte Tilbury, MAC, The Ordinary, La Roche-Posay, Maybelline. Twenty-three of the 34, 67%, were judged likely to be counterfeit. TikTok Shop and Vinted came out worst, five of six products from TikTok Shop and all six from Vinted were suspected fakes, against four of eleven on Amazon and eight of eleven on eBay. One example: a La Roche-Posay Effaclar Serum, retailing genuinely at £40, bought on Vinted for £12, that smelt suspiciously like shampoo and carried different text on the box than the genuine sample. This wasn’t a niche listing either, the two suspected-counterfeit eBay listings investigated had collectively sold more than 2,600 units, and the flagged Ordinary listings on TikTok Shop had sold close to 1,000.

    Why cosmetics resist the usual detection cues

    A counterfeit lipstick or serum can look, smell and even feel correct on first impression while containing a completely different, unregulated formulation underneath, or in the Effaclar Serum’s case, smell noticeably wrong and still sell thousands of units before anyone flagged it. That’s a meaningfully different problem from most counterfeit categories. A fake electronics accessory often has a visible build-quality flaw. A fake handbag frequently has an off stitch or wrong hardware weight a trained eye catches quickly. A cosmetic product’s actual danger sits in its chemistry, not its appearance, which means the usual “does this look right” instinct that catches other fakes doesn’t reliably work here at all.

    The stakes go beyond brand reputation

    This isn’t just a lost sale or a damaged review score. Counterfeit cosmetics have been found containing lead and mercury in lipsticks and skin-lightening creams, and DEHP, classified by the EPA as a probable human carcinogen, in counterfeit perfumes. A customer applying a counterfeit product to their skin is exposed to whatever the counterfeiter actually put in the formulation, with no regulatory oversight and no guarantee it bears any resemblance to what the packaging claims. The brand whose name is on the box carries the reputational fallout regardless of who actually made the product.

    Why social commerce platforms show up worst

    TikTok Shop and Vinted’s worse results in the Which? investigation aren’t a coincidence. Both are newer social-commerce and resale formats, built around a fundamentally different discovery and trust model than an established marketplace, and neither has built out seller-verification infrastructure as mature as platforms that have been fighting counterfeiting for longer. This echoes a pattern that shows up across brand protection generally, newer channels tend to outpace the monitoring infrastructure originally built for older ones, and a brand assuming its existing marketplace monitoring automatically extends to newer social-commerce formats is very often wrong.

    See how Truviss extends detection to social-commerce and resale platforms, not just established marketplaces.

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    What detection actually needs for this category

    Since visual and sensory cues aren’t reliable for cosmetics the way they are for some other counterfeit categories, and a product can sell thousands of units before its formulation problem is even noticed, detection has to lean harder on signals that don’t depend on inspecting the product itself. Seller history, pricing anomalies relative to genuine retail (a £40 serum for £12 is itself a signal worth flagging automatically), and image provenance, whether a listing’s product photos have been lifted from the brand’s own official assets or from another seller entirely, all work regardless of how convincing a counterfeit formulation looks or smells. Reverse image search and SKU-level catalogue matching both apply here, arguably more so than in categories where a human reviewer might at least catch an obvious visual tell.

    Getting started

    A cosmetics brand’s starting point looks different from a generic brand-protection checklist. The Which? data points specifically at newer social-commerce and resale platforms as the current weak spot, not just the largest, longest-established marketplaces. Checking exposure on TikTok Shop, Vinted and similar formats, rather than assuming existing Amazon or eBay monitoring already covers them, is the fastest way to find out whether a brand’s actual risk matches where the data says the problem currently concentrates.

  • Why Watch Counterfeiting Broke eBay’s Own Moderation

    Why Watch Counterfeiting Broke eBay’s Own Moderation

    Home/Blog/Why Watch Counterfeiting Broke eBay’s Own Moderation
    Marketplace Protection

    Why Watch Counterfeiting Broke eBay’s Own Moderation

    Truviss TeamAug 15, 20266 min read
    Counterfeit Listings IP Infringement Unauthorised Resellers
    Catch counterfeit watch listings before the price threshold does

    Truviss’s Marketplace Scanner applies continuous, SKU-level monitoring across every marketplace, not just the ones with their own authentication programme.

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    Counterfeit watch detection cover
    TL;DR
    • eBay’s Authenticity Guarantee authenticates every watch sold above $2,000, and counterfeit Rolex listings are still reported slipping past its AI-based moderation.
    • Watches are uniquely hard to police: high per-unit value, convincing fakes built from genuine-looking components, and authentication that only works after purchase.
    • Platform authentication protects one transaction on one platform, not listings below the price threshold, other marketplaces, or a brand’s own visibility.
    • Watches also carry a genuine grey market, easy to confuse with counterfeiting but requiring a different response entirely.

    eBay runs a dedicated authentication programme, Authenticity Guarantee, for any watch selling above $2,000 in the US: a third-party authenticator performs a multi-point physical inspection before the item ships, and eBay covers the cost plus two-day secure shipping. It built that programme because watch counterfeiting is severe enough to warrant dedicated infrastructure. And even with that in place, community reporting and forum discussion (WatchUSeek, Luxury Bazaar) describes eBay’s AI-based moderation failing to remove listings widely recognised as counterfeit Rolexes before they’re ever purchased. If a marketplace with a purpose-built authentication service still can’t fully solve this, that’s about as clear a proof point as exists that platform-side moderation alone has a ceiling, in this category more than almost any other.

    Why watches specifically are the hardest counterfeit category

    Watches sit at an unusual intersection of three factors that make them harder to police than most counterfeit goods. High per-unit value means counterfeiting stays profitable even at low volume, a single convincing fake can be worth pursuing where a cheap accessory wouldn’t be. A convincing fake can also be assembled from genuine-looking individual components, movements, cases, dials sourced and combined separately, rather than manufactured as one obviously fake unit, which makes visual and even mechanical inspection harder than it sounds. And the authentication techniques that do work, checking movement quality, weight, dial printing, serial numbers, all require expertise most buyers don’t have and, more importantly, can only be applied after the item has already arrived, not before purchase.

    Major marketplaces treat luxury counterfeiting broadly as serious enough to warrant category-specific infrastructure, not just generic moderation. Amazon’s Project Zero lets enrolled brands remove counterfeit listings directly, and its Counterfeit Crimes Unit has pursued cases across multiple luxury categories, including joint lawsuits with Salvatore Ferragamo over counterfeit belts and leather goods. That’s a different product category from watches, but it’s the same underlying signal: when counterfeiting in a category gets bad enough, platforms build dedicated enforcement infrastructure rather than relying on the moderation that covers everything else.

    What platform authentication programmes do and don’t cover

    A programme like eBay’s genuinely protects the specific transaction it’s applied to. A watch over $2,000, authenticated and shipped through eBay’s own process, is meaningfully safer than one bought without any verification. But that protection has hard edges. It doesn’t extend to listings below the price threshold, to other marketplaces the same seller might be operating on, or to a brand’s own visibility into who is selling under its name across the internet at all. Platform authentication is a point solution for one transaction on one platform. It isn’t brand-side monitoring, and it was never designed to be.

    This is the same principle behind SKU-level matching wherever it’s applied elsewhere in brand protection, matching a listing against a brand’s actual catalogue rather than trusting a platform’s own generic checks, just made more urgent in a category where the fakes are unusually convincing and the platform’s own tools have a documented gap.

    See how Truviss’s Marketplace Scanner watches for counterfeit listings continuously, not just above one price threshold.

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    The parallel-import wrinkle specific to watches

    Watches also carry a genuine grey market that’s easy to confuse with counterfeiting. Authorised-dealer stock gets diverted across regions and resold outside its intended market, which is real, genuine product, just sold through a channel the brand didn’t approve for that region. This is a fundamentally different problem from a counterfeit listing, and treating the two the same way leads to wasted enforcement effort, a grey-market listing generally isn’t reportable as intellectual property infringement the way a counterfeit is, since there’s no fake product involved, only an unauthorised sales channel. A brand needs to tell these two apart before deciding how to respond to either, since the fix for one (a takedown request) does nothing for the other (a distribution or channel-agreement issue).

    What actually catches this at brand scale

    Continuous monitoring across every marketplace a brand’s watches actually sell on, matched against the brand’s real catalogue at SKU level, is what closes the gap that any single platform’s authentication programme leaves open. That coverage has to include marketplaces without their own dedicated authentication service at all, and has to catch listings below whatever price threshold a platform like eBay’s programme happens to use, since counterfeiters have every incentive to price just under that line. Truviss’s Marketplace Scanner applies this detect-verify-enforce approach across marketplaces, watching for counterfeit listings continuously rather than relying on any single platform’s built-in protections to catch everything on a brand’s behalf.

    Getting started

    A watch brand or authorised dealer’s starting checklist looks different from a generic brand-protection one. Confirm which marketplaces actually carry the brand’s sales volume and counterfeit exposure, not just the largest platforms by default. Check whether existing monitoring reaches below whatever price threshold a platform’s own authentication programme covers, since that’s exactly where counterfeiters have the most room to operate undetected. And build a clear process for separating grey-market findings from genuine counterfeit ones before responding to either, since misclassifying one as the other wastes enforcement effort and can even damage a brand’s standing with the platform reviewing future reports.

  • The DM-to-Order Reels Selling Fake Shoes

    The DM-to-Order Reels Selling Fake Shoes

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    Social Media

    The DM-to-Order Reels Selling Fake Shoes

    Truviss TeamAug 15, 20266 min read
    Unauthorised Resellers Counterfeit Listings Social Media Monitoring
    Catch counterfeit selling before it reaches DMs

    Truviss’s Social Media Monitor flags accounts and content trading on your brand across Instagram, YouTube, TikTok and more.

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    DM to Order counterfeit selling cover
    TL;DR
    • A recurring Reels/Shorts format: a shopkeeper pans across branded-looking shoes, flashes a discounted price on screen, captions it “DM to order.”
    • The actual sale happens entirely in private messages, so there’s never a public listing to screenshot or report.
    • The video reads as organic local-shop content to recommendation algorithms, not an ad, so it spreads the same way genuine bargain-hunting content does.
    • Marketplace-focused brand monitoring never sees this, because nothing here ever touches a marketplace.

    A Ghost Data study reported by NBC News in 2019 found counterfeit-linked Instagram accounts for luxury brands, Gucci, Chanel, Balenciaga, Louis Vuitton and Dior among them, had nearly tripled in three years, from around 20,000 accounts in 2016 to over 56,000. More recently, in May 2026, City of London Police raided a warehouse in Rotherham and seized more than 26,000 counterfeit items, plus roughly £1.16 million ($1.5 million) in suspected stolen clothing, after finding a suspect livestreaming the sale of counterfeit goods on TikTok Shop. Consumer-safety coverage of this pattern has been thorough for years: spot the red flags, don’t pay through CashApp or Venmo, check reviews before you buy, use reverse image search on the product photos. What almost none of that coverage addresses is the other side of the same problem, what a brand is actually supposed to do about it, and why the usual brand-protection playbook doesn’t reach this format at all.

    The mechanism, shot by shot

    The format repeats often enough to describe almost frame by frame. A phone camera pans slowly across shelves or a table stacked with shoeboxes and pairs on display, sometimes inside a small shop, sometimes what looks like a home storeroom. A price flashes as on-screen text, usually crossed out against a higher “original” price beside it. The brand’s name might be spoken in the voiceover or shown briefly in a logo close-up, rarely spelled out in the caption itself. The caption ends with some version of “DM to order,” “price in inbox,” or a WhatsApp number. The comment section fills with past buyers replying “sent 🙏” or “arrived, thanks bro,” which reads as social proof to the next person scrolling past, and costs the seller nothing to generate.

    None of this is unique to shoes or to any one platform. The same shape shows up across counterfeit apparel, accessories, electronics, wherever a physical product photographs well and a discount is the obvious hook. What makes it worth naming as its own pattern isn’t the product category, it’s the structural choice sitting underneath all of it: the actual transaction never happens anywhere public.

    Why the sale never becomes a reportable listing

    A public listing with a price and a “buy now” button is exactly what marketplace and social-commerce monitoring is built to catch, a specific product, a specific price, a specific seller account, all sitting somewhere a brand can screenshot and report. Moving the transaction into direct messages removes all three from anything publicly visible. There’s no fake product listing to flag, no storefront page to send to a platform’s brand-abuse team, and no public price to prove the product was ever claimed as genuine, only a video that, read literally, shows a shop and some shoes without a single written claim of authenticity.

    This is the same underlying deception as any other counterfeit sale. What’s changed is that it’s been restructured so it never generates the one artifact, the listing, that makes a fake listing reportable in the first place. A seller doesn’t need to be more careful about hiding evidence when the evidence was never created publicly to begin with.

    Why the algorithm helps, not just the seller

    A Which? investigation found 23 of 34 cosmetic products it bought across Amazon, eBay, TikTok Shop and Vinted were likely counterfeit, including five of six bought directly through TikTok Shop, evidence the pattern already extends well beyond shoes into any category that photographs well on a phone camera. Short-form recommendation systems reward watch time and engagement, not verified authenticity of what’s on screen. A video of a shop full of steeply discounted branded-looking shoes performs exactly like any other bargain-hunting or local-business content, gets the same recommendation boost, and reaches viewers who never searched for it in the first place. The comment section’s “sent, thanks” replies read as genuine customer testimonials to anyone scrolling past, which pulls more DMs in without the seller doing anything beyond posting the next video. The platform’s own incentive to keep people watching works in the seller’s favour here, not against them.

    See how Truviss monitors social content and comments, not just storefronts and listings.

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    The blind spot in brand-side monitoring specifically

    Most brand-protection monitoring is built around marketplace monitoring, scanning listings, prices and seller accounts on e-commerce platforms. A DM-to-order video on a short-form platform never touches a marketplace, so a brand relying solely on marketplace scanning isn’t missing this because it’s hard to find. It’s missing it because nothing in that monitoring was ever pointed there. The content lives entirely inside the social platform’s own video and comment ecosystem, a different surface that marketplace tooling was never built to reach.

    This distinction matters because it changes what “we have brand protection in place” actually covers. A programme built around counterfeit listings and unauthorised resellers on Amazon or Flipkart can be running perfectly and still never encounter a single instance of this pattern, simply because it’s looking in a different place. The gap isn’t a quality problem with existing monitoring. It’s a coverage-surface problem, and it only shows up once someone goes looking specifically for it.

    What actually has to change: content and account signals, not listings

    Since there’s no listing to match against a catalogue, detection has to work on the video and the account instead, flagging content that pairs a brand’s name or visual identity with discount language and “DM to order” phrasing, then reviewing the account’s pattern of posting rather than waiting for a single reportable product page. This sits closer to brand impersonation monitoring than traditional listing detection, because the target is the account and the recurring pattern, not one page. Truviss’s Social Media Monitor is built around exactly this kind of account and content-level signal, watching for accounts and posts trading on a brand’s identity across Instagram, YouTube, TikTok and similar platforms, rather than assuming every threat will eventually surface as a listing somewhere.

    A few practical questions separate a brand that’s actually covered here from one that only assumes it is. Does existing monitoring look at video content and comment sections at all, or only at listings and storefront pages? Is there a defined process for flagging an account, not just a single post, once a pattern of DM-to-order content is spotted? And when a video does get reported, is there a documented trail, screenshots, timestamps, the account handle, in case the same seller reappears under a new account after the first one is taken down, which happens often enough to plan for rather than treat as a surprise.

    Getting started

    If a brand sells footwear, apparel, or anything else that shows up often in “discounted branded goods, DM to order” content, the fastest useful check is whether current monitoring even reaches Reels, Shorts and comment sections at all, not just marketplace listings and impersonator profile accounts. Most brand-protection programmes built before this format became common were never pointed there in the first place, and the gap only closes once someone deliberately extends coverage to the accounts and content driving it, rather than waiting for it to eventually show up as a listing that never comes.

  • Counterfeit Risk on Quick Commerce: Blinkit to Instamart

    Counterfeit Risk on Quick Commerce: Blinkit to Instamart

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    Marketplace Protection

    Counterfeit Risk on Quick Commerce: Blinkit to Instamart

    Truviss TeamAug 15, 20266 min read
    Counterfeit Listings Unauthorised Resellers Marketplace Monitoring
    Cover quick commerce, not just Amazon and Flipkart

    Truviss’s Marketplace Scanner extends to rapid-delivery platforms alongside 5,000+ traditional marketplaces.

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    Counterfeit Risk on Quick Commerce cover
    TL;DR
    • Blinkit, Zepto and Instamart move products through dark-store inventory rather than a traditional open marketplace listing model, which changes how counterfeit and unauthorised stock actually gets in.
    • Brand verification requirements differ by platform, and a trademark application alone is often enough to get listed, a lower bar than some traditional marketplaces require.
    • These platforms also collect granular SKU-level sales data, some of it feeding private-label lines, which is a different kind of brand risk than a counterfeit listing.
    • Most brand-protection programmes are still built around Amazon and Flipkart-style listings and haven’t extended monitoring to quick commerce at all.

    Why quick commerce is a different kind of risk

    Quick commerce platforms like Blinkit, Zepto and Instamart don’t work the way a traditional marketplace does. Instead of a seller creating a public listing that any brand can search and monitor, these platforms run on dark-store inventory, stock physically held in local fulfilment centres and surfaced to customers through the app’s own catalogue, not an open seller marketplace page. That structural difference means the usual approach to marketplace monitoring, searching public listings for counterfeit signals, doesn’t translate directly to this channel.

    How counterfeit and unauthorised stock gets onboarded

    Brand verification requirements vary across the three platforms. A trademark application receipt is often sufficient to get onboarded on some of them, a lower bar than the registered-trademark requirement common on more established marketplaces, and one that can be easier for an unauthorised reseller or counterfeit operation to clear with minimal documentation. Once onboarded, a seller or dark-store partner can move stock quickly with far less public visibility than a listing on an open marketplace, since customers browse a curated in-app catalogue rather than searching seller-by-seller.

    Why brands underestimate this channel

    Most brand-protection thinking is still built around the marketplaces that have existed longest, Amazon, Flipkart, and their international equivalents, simply because that’s where counterfeiting was first documented at scale. Quick commerce is newer, smaller in absolute volume for most categories, and easy to treat as a rounding error. But for categories that move fast, personal care, snacks, small electronics accessories, the platforms’ own delivery speed is exactly what also makes a counterfeit or unauthorised batch move through inventory and reach a customer before anyone at the brand notices.

    See how Truviss extends detection to quick commerce alongside 5,000+ traditional marketplaces.

    Explore Marketplace Scanner

    The data angle brands often miss

    Quick commerce platforms collect unusually granular sales data at SKU level, since dark-store fulfilment depends on precise, real-time inventory tracking. Some of these platforms also run their own private-label product lines, which means a brand’s high-velocity SKUs are visible in exactly the kind of detail a competing private-label product would benefit from copying. This isn’t the same risk as a counterfeit listing, but it’s a related one worth tracking alongside it, since both stem from the same underlying question, who else has visibility into a brand’s real sales and product data on these platforms.

    Monitoring a channel that moves this fast

    Because quick commerce inventory turns over in hours rather than the days or weeks typical of a traditional marketplace listing, periodic manual checks are close to useless here, by the time a brand notices a problem and investigates, the specific batch in question may already be sold through and gone. Effective coverage means treating quick commerce as a monitored channel in its own right, with the same continuous, SKU-level matching approach used on any other marketplace, rather than an occasional spot-check layered on top of existing Amazon or Flipkart monitoring.

    Getting started

    If a brand sells, or suspects it’s being resold, through Blinkit, Zepto or Instamart, the first step is establishing whether the brand’s own products are even listed there through an authorised channel at all. From there, the same detect, verify, enforce approach used across every other marketplace applies, just extended to a channel most brand-protection programmes haven’t reached yet.

    Frequently asked questions

    Do Blinkit, Zepto and Instamart require the same brand verification as Amazon or Flipkart?▼

    No, requirements vary by platform. Some accept a trademark application receipt for onboarding, while others expect a registered trademark, generally a lighter bar than traditional marketplaces set, which is part of why this channel needs its own dedicated monitoring rather than assuming existing marketplace processes cover it.

    Can a brand monitor quick commerce the same way it monitors Amazon listings?▼

    Not directly. Quick commerce runs on dark-store inventory rather than open public listings, so the monitoring approach has to adapt to how these platforms actually structure their catalogue and seller relationships, rather than assuming the same listing-search methods apply unchanged.

    Is quick commerce a big enough channel to justify dedicated monitoring?▼

    It depends on the category. For fast-moving consumer categories, personal care, snacks, small accessories, quick commerce volume can already be meaningful, and the same speed that makes these platforms attractive to shoppers is what also lets a counterfeit or unauthorised batch move through before it’s noticed.

    Should a brand worry about data exposure on these platforms, not just counterfeiting?▼

    It’s worth being aware of. Some quick commerce platforms operate their own private-label lines and have granular visibility into high-velocity SKUs sold through their app, which is a different concern from counterfeiting but related enough to track alongside it.

  • Counterfeit vs Fake Listing vs Grey Market: The Difference

    Counterfeit vs Fake Listing vs Grey Market: The Difference

    Home/Blog/Counterfeit vs Fake Listing vs Grey Market: The Difference
    Marketplace Protection

    Counterfeit vs Fake Listing vs Grey Market: The Difference

    Truviss TeamAug 15, 20266 min read
    Counterfeit Listings Unauthorised Resellers
    Know exactly what you’re dealing with

    Truviss’s SKU-level matching tells counterfeits, fake listings and grey market goods apart automatically.

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    Counterfeit vs Fake Listing vs Grey Market Goods cover
    TL;DR
    • A counterfeit is a fake physical product. A fake listing is the online storefront selling it, which may or may not ship anything real at all.
    • Grey market goods are genuine products, sold outside the brand’s authorised channels, which is a distribution issue rather than an IP infringement.
    • Getting the distinction right matters because each one is reported and resolved through a different process.
    • SKU-level matching against a brand’s real catalogue is what separates a genuine grievance from a counterfeit or fake listing at scale.

    Why these terms get mixed up

    Brands trying to protect themselves online run into these three terms constantly, and they get used almost interchangeably in casual conversation despite meaning genuinely different things. That confusion has a real cost: reporting a grey market seller through a counterfeit-focused IP enforcement channel usually gets rejected, since the platform correctly recognises the product itself is real. Knowing which term actually applies is the first step to picking the right response.

    Counterfeit product

    A counterfeit is a physical fake, manufactured to imitate a genuine branded product without any authorisation from the brand. It’s an intellectual property infringement in the most direct sense: someone is producing and selling something designed to be mistaken for the real thing, using the brand’s name, logo or trade dress without permission.

    This is the category most enforcement programmes, and most people’s mental image of the problem, are built around. It’s also usually the clearest case to report, since the product itself, not just the listing, is the infringement.

    Fake listing

    A fake listing is the online storefront itself, and it doesn’t always involve a physical counterfeit at all. Some fake listings do ship a counterfeit product to the buyer. Others take payment and ship nothing, or ship something entirely unrelated, relying purely on stolen product photos and copied listing text to look convincing enough to close a sale. The listing is the deception; whatever, if anything, actually gets shipped is a separate question.

    This distinction matters for enforcement, since a marketplace’s takedown process for a fake listing focuses on the listing’s own misrepresentation, images, claims, seller identity, rather than requiring a physical product to be tested or seized first.

    Grey market goods

    Grey market goods are the odd one out: they’re genuine, authentic products, made by or for the actual brand, sold outside the distribution channels the brand has authorised for that specific market or reseller. A retailer buying stock intended for one region and reselling it in another, or an unauthorised reseller sourcing genuine product through a channel the brand never approved, both fall into this category.

    There’s no counterfeit here and typically no IP infringement in the strict sense, which is exactly why grey market cases usually can’t be resolved through the same reporting channel as a counterfeit listing. It’s a contractual and distribution problem, and the fix is usually a distribution-agreement or pricing-policy issue rather than a takedown request.

    See how Truviss’s SKU-level matching tells these three apart automatically, at scale.

    Explore Marketplace Scanner

    Why the distinction actually matters

    Each of these three gets resolved through a genuinely different process. A counterfeit or a fake listing is reportable through a marketplace’s IP or brand-abuse enforcement channel, since both involve deception, either in the product or the listing itself. A grey market case generally isn’t, since the product and the listing are both, strictly speaking, telling the truth. Misclassifying one as the other wastes time on a report that will likely be rejected, and worse, can make a brand look like it’s trying to shut down price competition rather than genuine infringement, which damages credibility with the platform reviewing future reports.

    How to tell which one you’re looking at

    The fastest check is whether the product itself, once received, matches the brand’s real specifications and materials. If it doesn’t, that’s a counterfeit. If the product matches but was never received at all, or arrived from a seller with no listed connection to the brand’s approved channels, that points to a fake listing. If the product is genuine and simply arrived from a seller outside the region or channel the brand expected, that’s grey market, and the more useful next step is checking that reseller’s sourcing agreement rather than filing an IP complaint.

    Frequently asked questions

    Can a fake listing sell a genuine product?▼

    Rarely, and usually not deliberately. A fake listing is defined by the deception in the listing itself, stolen images, false claims, an unauthorised seller, so even if it occasionally ships something real, the listing’s misrepresentation is still the issue being reported.

    Is buying grey market goods illegal for the buyer?▼

    Generally no, since the product is genuine. The dispute is between the brand and the reseller over distribution terms, not between the brand and the end buyer, who usually has no way of knowing the goods came through an unauthorised channel.

    Why would a marketplace reject a grey market report filed as a counterfeit complaint?▼

    Because the product is authentic, there’s no IP infringement for the platform’s counterfeit-reporting process to act on. Marketplaces generally require a genuinely fake or infringing product for that specific channel, which is why grey market disputes need a different resolution path entirely.

    Does SKU-level matching actually tell these three apart automatically?▼

    It narrows the classification significantly. Matching a listing’s images, pricing and seller history against the brand’s real catalogue at SKU level flags whether a listing’s claimed product genuinely matches what the brand makes, which is the first signal separating a counterfeit or fake listing from a genuine grey market sale.

  • How to Find & Respond to Unauthorised Sellers Online

    How to Find & Respond to Unauthorised Sellers Online

    Home/Blog/How to Find & Respond to Unauthorised Sellers Online
    Marketplace Protection

    How to Find & Respond to Unauthorised Sellers Online

    Truviss TeamAug 20, 20266 min read
    Counterfeit Listings Unauthorised Resellers Marketplace Monitoring Takedowns IP Infringement
    Catch relisted sellers before customers do

    See how Truviss’s Marketplace Scanner flags unauthorised listings and relisted sellers across 5,000+ marketplaces the moment they reappear.

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    How to Find and Respond to Unauthorised Sellers Online cover
    TL;DR
    • Finding an unauthorised seller and responding to one are two separate skills, and most brands are only built for one of them.
    • Sort sellers into unauthorised resellers, grey market imports, and counterfeit sellers before choosing a response.
    • The earliest signal is the same product code turning up outside authorised channels, not just a new listing.
    • A takedown removes one listing, not the seller. Continuous monitoring catches the relist.

    The problem is really two problems

    Most guidance on unauthorised sellers treats “find and respond” as one motion, but they’re separate skills, and a brand that’s good at only one of them still loses margin. A team that spots every rogue listing but has no enforcement process watches the same sellers operate indefinitely. A team with a sharp legal process but no detection only finds out about a problem after a customer complaint or a distributor’s phone call, by which point the seller has usually been active for months.

    This is Part 1 (find) and Part 2 (respond), covered in that order because the response you should take depends entirely on what you found.

    What actually counts as an unauthorised seller

    Not every seller operating outside your approved list is doing something you can act against legally, and knowing the difference decides which lever you reach for later. See what online brand abuse covers for the broader category this sits inside.

    Unauthorised resellers are moving genuine stock, usually sourced from a legitimate distributor who broke a contract term, outside your approved retailer list. This is a distribution problem, not an IP problem. There’s no counterfeit claim to make, because the product is real.

    Grey market or parallel-import sellers are also moving genuine product, but across regions your distribution agreements don’t cover. Same issue as above: real goods, wrong channel, no infringement claim.

    Counterfeit sellers are the only category with a clean intellectual property claim, because the product itself is fake (what qualifies as a counterfeit listing). This is where trademark and IP enforcement tools actually apply.

    Confusing these categories is the most common way a brand wastes a response. Sending a cease-and-desist to a reseller who simply broke a distribution term, rather than a counterfeiter, is usually unenforceable and burns goodwill with a partner you may still want back on side later.

    Where sellers surface, and the signal that’s easy to miss

    Unauthorised sellers cluster in three places: large marketplaces (Amazon, eBay, Walmart and regional equivalents), social commerce (Instagram and TikTok Shop listings), and open-web storefronts cloning a brand’s product pages directly.

    Most guides on this topic stop at “monitor these channels for new listings.” That catches a seller once they’ve already built a storefront and started selling, which is usually well after the fact. A signal that surfaces earlier: the same product code being verified or scanned by end customers in locations, quantities, or patterns that don’t match your authorised distribution map. That’s a product-level signal, not a listing-crawl signal, and none of the marketplace-monitoring guides built around scraping listings can see it, because it depends on having SKU-level matching set up in the first place (marketplace monitoring covers the listing-side half of this).

    If your product carries any kind of scannable code, this is the earliest warning you’ll get that stock is moving somewhere it shouldn’t, often before a listing has even gone up.

    Build the evidence file before you report anything

    A report filed with a single screenshot gets rejected far more often than one filed with a documented trail. Before submitting anything to a platform, gather: the listing URL and a timestamped capture of it, the seller’s account ID, and, where available, verification-scan data showing where and how often the product code has surfaced outside your authorised channels.

    This is preparation, not the response itself, and it should happen the moment you spot something suspicious, not after you’ve decided how to act. Evidence gathered late is evidence gathered under time pressure, which is when mistakes happen.

    Respond, using the right lever for the category

    Once you know which of the three categories you’re dealing with, three levers are available, roughly in order of speed:

    Marketplace takedown tools are fastest and platform-specific: Amazon’s Report a Violation, eBay’s VeRO programme, Alibaba’s IPP (how a takedown request actually gets evaluated). These work for counterfeit claims and, on some platforms, for authorised-seller-only policy violations too.

    Direct contact with the seller or distributor is the right tool for a policy or contract breach: an unauthorised reseller or a distributor who broke a MAP or territory agreement. No IP claim is needed here, because none exists. This is a contract conversation, not a legal one.

    Legal action, cease-and-desist letters or litigation, is the slowest lever and the one to reserve for counterfeit sellers or repeat offenders who ignore lower-friction responses.

    Matching the lever to the category matters more than moving fast. A marketplace takedown request filed against a legitimate reseller, rather than a counterfeiter, can get rejected outright, and a legal letter sent to the same reseller is often unenforceable since no infringement occurred.

    Why one takedown rarely ends it

    A removed listing doesn’t remove the seller. The same account, or a new one, frequently relists the same product within days, sometimes under a slightly altered title or a fresh seller profile built specifically to avoid the record of the last takedown.

    See how Truviss’s Marketplace Scanner tracks listings and product codes across thousands of marketplaces continuously, flagging a relisting the moment it reappears.

    Explore Marketplace Scanner

    Pairing continuous monitoring with repeat-offender tracking means the same seller account or pattern gets flagged and prioritised automatically the second time round, instead of starting the evidence-gathering process from zero.

    Getting started

    Three things to do before the next unauthorised listing appears, not after:

    1. Check whether you already have product-level verification data (scan or authentication logs) that shows where your product is turning up outside authorised channels. This is often the earliest signal available and the one most brands aren’t looking at yet.

    2. Decide in advance which of the three levers applies to each seller category, so the decision isn’t being made under pressure the first time a listing appears.

    3. Keep the evidence-gathering habit running continuously, not just when you’re about to file a report. A brand that already has a timestamped trail moves through platform review far faster than one starting from a single screenshot.

    Treat detection and response as the two separate disciplines they are, and each half gets noticeably easier.

  • How to Report Counterfeit Sellers: Amazon to Alibaba

    How to Report Counterfeit Sellers: Amazon to Alibaba

    Home/Blog/How to Report Counterfeit Sellers: Amazon to Alibaba
    Marketplace Protection

    How to Report Counterfeit Sellers: Amazon to Alibaba

    Truviss TeamAug 15, 20267 min read
    Counterfeit Listings Unauthorised Resellers Takedowns Marketplace Monitoring
    Stop filing these reports one at a time

    Truviss’s Marketplace Scanner finds counterfeit listings and builds the evidence trail automatically, across 5,000+ marketplaces.

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    How to Report Counterfeit Sellers cover
    TL;DR
    • Amazon, Flipkart and Alibaba each run their own brand-protection reporting programme, and each expects a slightly different form of evidence.
    • Amazon Brand Registry and Project Zero are the two routes for enrolled brands; Flipkart and Alibaba’s IP Protection Platform work similarly but through their own portals.
    • A report with clear evidence, listing URL, screenshots, and how it differs from the genuine product, gets actioned faster than a vague complaint.
    • Manual reporting works for occasional cases; it cannot keep pace with a seller who relists under a new account within days.

    Before you report: what to document

    Every marketplace’s reporting process wants roughly the same core evidence, regardless of platform: the exact listing URL, the seller’s name or ID, and a clear explanation of what makes the listing a fake product listing rather than a genuine one. Screenshots of the listing, taken at the time you find it, matter more than they might seem, since a seller can edit or remove a listing the moment they suspect a report is coming.

    If you’re reporting on behalf of a brand rather than as an individual buyer, most programmes also ask for proof of trademark ownership before granting full enforcement access, so it’s worth having that documentation ready before you start.

    Reporting on Amazon

    Brands enrolled in Amazon Brand Registry can report suspected counterfeits directly through the Report a Violation tool in Seller Central, which routes the report to Amazon’s enforcement team with the listing and seller details attached. Project Zero, available to a subset of enrolled brands, goes further and lets a brand remove counterfeit listings itself without waiting on Amazon’s review, using the brand’s own product data to automatically flag matches. Brands not yet enrolled in Brand Registry can still report through Amazon’s general intellectual property infringement form, though enrolled brands typically see faster action.

    Reporting on Flipkart

    Flipkart handles brand-protection reports through its own seller-and-brand support channel, generally requiring the same core evidence, listing link, seller details and a description of the infringement, submitted alongside proof of trademark ownership for the reporting brand. Response times and the exact submission flow can vary by category, so it’s worth checking Flipkart’s current seller help documentation for the specific reporting form before submitting, rather than assuming a fixed process across every category.

    Reporting on Alibaba

    Alibaba’s IP Protection Platform is the dedicated channel for reporting counterfeit listings across its marketplaces, letting a brand submit trademark or copyright evidence once and then file infringement reports against specific listings using that verified record. Because Alibaba spans multiple marketplaces under one group, verifying IP ownership through the platform once tends to make follow-up reports faster than starting from scratch each time.

    See how Truviss automates the evidence-gathering step across all three marketplaces and 5,000+ others.

    Explore Marketplace Scanner

    Why one-off manual reporting struggles at scale

    Filing one report against one listing works fine for an occasional, obvious case. It breaks down once a repeat offender starts relisting the same counterfeit product under a new seller account or a slightly altered listing title within days of being taken down. A brand that only reports what it happens to notice will keep losing ground to sellers who relist faster than the brand can search and file new reports.

    This is the gap continuous marketplace monitoring is built to close, not by replacing the reporting process on any of these platforms, but by finding new instances the moment they appear and keeping the evidence trail ready before a report is even filed.

    Getting started

    If a brand sells through more than one of these marketplaces, start by getting properly enrolled in each platform’s own brand-protection programme, Brand Registry for Amazon, the equivalent verification step for Flipkart and Alibaba, since enforcement access and speed both improve once a brand’s ownership is verified. From there, the biggest gain usually comes from moving off periodic manual searches and toward continuous monitoring for whichever marketplace carries the most sales exposure.

    Frequently asked questions

    Do I need to be enrolled in Amazon Brand Registry to report a counterfeit?▼

    No, Amazon’s general intellectual property infringement form is open to any rights owner. Brand Registry enrolment typically speeds up review and unlocks additional tools like Project Zero, but it isn’t required to file an initial report.

    How long does a marketplace typically take to act on a report?▼

    This varies by platform and by how complete the report is. A report with clear listing evidence and verified trademark ownership is generally actioned faster than one missing documentation, which is why preparing evidence before filing matters.

    What happens if the same seller relists after being taken down?▼

    You generally need to file a fresh report against the new listing, since a takedown applies to the specific listing reported, not automatically to future relistings under a new account. This is the main reason continuous monitoring matters more than a single successful report.

    Is reporting a counterfeit listing the same as reporting an unauthorised reseller?▼

    No. A counterfeit listing sells a fake product and is generally handled through a platform’s IP infringement process. An unauthorised reseller sells the genuine product outside approved channels, which is usually a contractual issue handled differently and may not qualify for the same IP-based takedown route.

  • Brand Protection 2026: What’s Actually Working

    Brand Protection 2026: What’s Actually Working

    Home/Blog/Brand Protection 2026: What’s Actually Working
    Marketplace Protection

    Brand Protection 2026: What’s Actually Working

    Truviss TeamAug 15, 20268 min read
    Counterfeit Listings IP Infringement Brand Impersonation Takedowns Marketplace Monitoring
    See your brand’s exposure across every channel

    Truviss scans 5,000+ marketplaces, social platforms, app stores, domains and ad networks around the clock.

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    Brand Protection 2026 cover
    TL;DR
    • Counterfeit goods made up an estimated USD 467 billion in global trade in 2021, 2.3% of world trade (OECD/EUIPO), and digital channels have made fakes easier to reach buyers directly than ever before.
    • Brand abuse now spans five fronts: marketplaces, social media, domains, app stores and ad networks, not just counterfeit listings.
    • Governments are naming and tracking the worst offenders: the USTR’s 2025 Notorious Markets List is the latest annual accounting of where counterfeiting concentrates online.
    • A detect, verify, enforce process, run continuously rather than as a periodic sweep, is what actually keeps pace with how fast new infringements appear.

    What digital brand abuse looks like in 2026

    Brand abuse used to mean one thing: a counterfeit product. It now means five. A counterfeit listing undercutting price on a marketplace. A cloned social media profile running a fake giveaway in a brand’s name. A lookalike domain harvesting customer logins. A cloned mobile app collecting data under a familiar-looking icon. A fraudulent ad steering search traffic toward a fake storefront. Each is a distinct attack surface, and each one is a form of online brand abuse that most brands only discover after a customer complains.

    What’s changed isn’t the intent behind any of this, it’s the speed and the surface area. A counterfeit operation no longer needs a warehouse or a distribution deal, just a marketplace account and a copied product photo. A phishing operation no longer needs to compromise a brand’s own servers, just a domain that looks close enough at a glance.

    How big the problem actually is

    Global trade in counterfeit goods reached an estimated USD 467 billion in 2021, equivalent to 2.3% of total world trade, and EU imports of fakes alone were valued at EUR 99 billion (OECD/EUIPO, Mapping Global Trade in Fakes 2025). Clothing, footwear and leather goods jointly accounted for 62% of all counterfeit goods seized globally, categories that also happen to be among the most heavily traded on consumer marketplaces.

    Those figures cover physical seizures. They understate the digital side of the problem, the impersonator accounts, phishing domains and cloned apps that never show up in a customs report because nothing physical ever crosses a border. A brand can lose customer trust to a fake Instagram giveaway or a typosquatted domain without a single counterfeit unit ever being seized.

    The five fronts: where brand abuse actually happens

    Marketplaces remain the biggest single channel, covering everything from major platforms to regional and vertical ones, and quick-commerce apps have added a newer, faster-moving front on top of that. Truviss’s Marketplace Scanner covers 5,000+ of them, matching listings against a brand’s real catalogue at SKU level rather than by keyword alone.

    Social media is close behind: fake profiles and scam pages on Facebook, Instagram, X, TikTok and YouTube trade on a brand’s name and following to run scams the real brand never sanctioned. Domains are the quieter threat, lookalike and typosquatted URLs built to harvest logins or payment details before a customer notices the misspelling. App stores add a fourth front, cloned or rogue apps on iOS and Android that mimic a brand’s real app closely enough to pass a casual glance. And ad networks are the fifth, fraudulent ads that redirect paid search or social traffic straight to a fake storefront, quietly spending a competitor’s or counterfeiter’s budget against a brand’s own customers.

    Case in point: a fake sold as genuine on a mainstream marketplace

    This isn’t a hypothetical. Truviss has seen the pattern play out with a real client, one of India’s leading helmet manufacturers, whose helmets were counterfeited and sold on Amazon by unauthorised resellers at 30-40% below the genuine price, with repeat offenders relisting after being reported. It didn’t need to fool every buyer, only enough of them, on a platform mainstream enough that shoppers don’t think to double-check.

    Daily scanning combined with computer vision image matching against the brand’s own catalogue was what eventually mapped the reseller network and gave Amazon’s IP enforcement team enough evidence to act.

    What regulators are doing about it

    Governments are paying closer attention too. The US Trade Representative’s 2025 Review of Notorious Markets for Counterfeiting and Piracy, published in 2026, is the latest edition of an annual list naming the online and physical markets where counterfeiting concentrates most. Being named on the list carries no direct legal penalty, but it is a public signal that puts pressure on the platforms and marketplaces involved, and it gives brands and their legal teams a citable, government-sourced reference point when building an enforcement case.

    Regulatory pressure alone doesn’t remove a single fake listing, though. That still comes down to a brand’s own monitoring and enforcement process, applied consistently, not just when a list like this makes headlines.

    Detect, verify, enforce: the process that actually works

    The brands that keep pace treat brand protection as a continuous process, not a periodic clean-up. It comes down to three steps, repeated constantly.

    Detect continuously, not periodically. Scanning that runs 24/7 across every channel where a brand actually has exposure, analysing 500+ data points per listing, images, pricing, seller history and text together, rather than keyword search alone.

    Verify against the brand’s real catalogue, at SKU level. This is what protects genuine resellers and authorised partners from being caught up in enforcement by mistake, and it’s what gives a takedown request credibility with the platform reviewing it.

    Enforce with a documented evidence trail, URLs, screenshots and timestamps logged for every action, not just the immediate takedown but as a record if a case ever needs to escalate beyond a single platform’s own process.

    See how Truviss runs detect, verify, enforce automatically across marketplaces, social media, domains and apps.

    Explore Marketplace Scanner

    Where to start

    Start with whichever front carries the biggest exposure. For most consumer brands that’s still counterfeit listings on marketplaces, but a brand with a strong social following may find impersonator accounts the more urgent risk, and one running paid acquisition may be losing more to ad fraud than it realises. Get continuous monitoring in place on that one channel first, build a documented takedown process around it, then expand coverage as the process proves itself.

    Frequently asked questions

    Is counterfeiting still mostly a physical-goods problem, or is it mostly online now?▼

    Both, and increasingly the two are connected. A counterfeit product still has to be manufactured somewhere, but the sale, discovery and distribution to the buyer now happens almost entirely through digital channels, marketplaces, social media and search ads, which is why digital monitoring has become as important as any physical enforcement.

    Which channel should a brand worry about first?▼

    Whichever carries the most exposure for that specific brand. A brand sold heavily through third-party marketplaces should prioritise counterfeit listing monitoring; a brand with a large social following should prioritise impersonator detection. There’s no universal answer, it depends on where the brand’s own customers actually are.

    Does being named on a list like the USTR’s Notorious Markets List actually change anything?▼

    It doesn’t remove listings directly, but it adds public and diplomatic pressure on the named markets and platforms, and it gives brands a citable, government-sourced reference point when making the case for stronger enforcement with a specific marketplace or registrar.

    Is this only a problem for large, globally recognised brands?▼

    No. Smaller and regional brands are targeted too, and often with less visibility since they have fewer resources for manual monitoring, which makes continuous, automated detection proportionally more valuable for a smaller team.