Research paper

Channel integrity

Unauthorised sellers: what they actually cost, and how to remove them

Why the usual revenue figure double-counts, which of five seller types you are dealing with, and why the fix is upstream in your own distribution.

Published by	Merqi Ltd — competitive monitoring for consumer brands
Jurisdictions	United States · European Union · United Kingdom
Companion to	Minimum Advertised Price policies in the US and EU: a comparative enforcement guide
Status	General information only — not legal advice

Executive summary

Most brands describe their unauthorised-seller problem in revenue terms — “these sellers are costing us X% of sales” — and most of those numbers are wrong. Not slightly wrong: structurally wrong, because they double-count. In the overwhelming majority of cases the unauthorised seller is selling genuine goods the brand already sold and already got paid for, bought from an authorised distributor further down the chain. The units are not lost. What is lost is margin mix, pricing power, partner goodwill, advertising efficiency and traceability. Those are real and often large, but they are different costs with different mechanics, and a brand that models them as lost revenue will build the wrong business case and buy the wrong remedy.

This paper does three things. It separates the seller types: counterfeiters, grey-market importers, diverted-stock resellers, arbitrage sellers and liquidation buyers all appear identically on a listing and require completely different responses. It builds an honest cost model, component by component, with an assessment of what evidence exists for each and how a brand measures it in its own data — and it examines the most-cited statistic in the category and finds it to be a circular vendor citation with no traceable primary source. It sets out the remediation ladder, ordered by cost-effectiveness rather than by drama.

The regulatory environment is moving in brands’ favour. The US INFORM Consumers Act and EU Digital Services Act Article 30 have stripped a large amount of seller anonymity. The EU General Product Safety Regulation makes untraceable distribution a compliance liability rather than a commercial irritation. And GS1’s Sunrise 2027 transition to 2D barcodes, converging with the EU Digital Product Passport, will make unit-level traceability standard infrastructure.

A note on why we wrote this. Merqi builds distribution monitoring for consumer brands — who is selling your products, who holds the buy box, at what price, against which reference, over time, and which retailers you are absent from entirely. Almost every measurement technique in this paper is one we run daily against live multi-seller retail data. Section 7 sets out what our own system does. Everything before it stands on its own regardless of who you buy monitoring from.

Defining the problem precisely

1.1 “Unauthorised” is not “illegal”

In the United States the first-sale doctrine means a party who lawfully acquires a genuine trademarked good may generally resell it. The Supreme Court confirmed in Quality King Distributors v. L’anza Research International, 523 U.S. 135 (1998) and Kirtsaeng v. John Wiley & Sons, 568 U.S. 519 (2013) that first sale applies to lawfully made goods regardless of where they were manufactured. In the EU, Article 15(1) of Regulation (EU) 2017/1001 exhausts the proprietor’s rights once goods are put on the EEA market by or with its consent.

The practical consequence: a reseller who buys your product legitimately from your distributor and lists it on Amazon without your permission is, in most cases, doing nothing unlawful. They have breached no contract with you — they have no contract with you. Amazon will not remove them, and is correct not to. Brands that do not internalise this spend years filing complaints that go nowhere, and sometimes worse: filing intellectual-property complaints against sellers of genuine goods purely because they are unauthorised is itself a marketplace policy violation and can cost a brand its Brand Registry access.

1.2 Taxonomy

The operational point of this table is that the remedy column has almost no overlap. A brand that runs one undifferentiated “unauthorised seller programme” is applying the wrong tool most of the time.

1.3 How unauthorised sellers get inventory

• Distributor diversion. An authorised distributor buys past its own demand to hit a volume tier, then sells the surplus to a marketplace operator. Signature: order quantities that outrun the distributor’s known sell-through, concentrated at quarter-end or tier boundaries.
• Cross-market arbitrage. Price differentials between countries make it profitable to buy in one and ship to another. Signature: sudden appearance of sellers where your price is highest, with lot codes traceable to the cheapest market.
• Returns and liquidation. Retailer returns, overstock and salvage pallets enter the secondary market. Signature: mixed condition, opened packaging, no consistent lot pattern.
• Retailer clearance. End-of-line promotional stock bought out and relisted. Signature: seasonal, matched to known clearance events.
• FBA commingling. Stickerless commingled inventory pools identical GTINs from multiple sellers into shared bins. Genuine and non-genuine units of the same GTIN can be physically mixed, obscuring the origin of any given unit and defeating lot-code tracing.

Note what is not on this list: the marketplace itself. Amazon does not create unauthorised sellers. It creates a low-friction venue for them. The inventory comes from the brand’s own supply chain.

The cost — building an honest model

2.1 The double-counting error

Suppose an unauthorised seller sells €400,000 of your product on Amazon in a year. The instinctive framing is “€400,000 of lost revenue.” It almost never is. Those units were manufactured by you, sold to a distributor at your wholesale price, and paid for. You have already booked the revenue and the margin. The seller is not taking sales from you; they are taking sales from your other channel partners, or from your own DTC or 1P offer.

The genuine costs are therefore: margin mix shift; price erosion, which is real, compounding and mostly forward-looking; channel attrition; advertising waste; warranty and service absorption; review and rating damage; compliance and recall exposure; and brand equity. A brand that models the problem as lost revenue will justify an expensive litigation programme against sellers. A brand that models it correctly will spend the money on distributor contracts and lot-code tracing, because that is where the leverage is.

2.2 Price erosion and repricing dynamics

Marketplace sellers overwhelmingly use automated repricing configured to undercut or match the lowest competing offer. When one unauthorised seller with cheap diverted stock enters a listing, algorithmic repricing propagates the lower price across every seller on it within minutes. The floor is set by whoever has the lowest cost basis. The European Commission’s 2018 consumer-electronics decisions against Asus, Philips, Pioneer and Denon & Marantz rest explicitly on this amplification mechanic. How to measure it: track the minimum street price per SKU per market over time and the spread against MSRP; overlay seller entry and exit dates. The correlation is usually visible without statistical work.

2.3 Buy-box displacement — and the most-cited statistic in the category

The buy box is the default purchase path. Losing it means your offer is one click deeper, and on mobile effectively invisible. The universally quoted figure is that 80–83% of Amazon sales flow through the buy box. Traced back, repricing and marketplace-tooling vendors cite it to each other; one widely circulated compilation attributes it to “multiple industry sources including Helium 10, Repricer.com, and ChannelEngine” — three vendors citing a range, not a study. Amazon does not publish the number. There is no traceable primary source, no methodology, and no sample definition.

The directional point survives: buy-box ownership dominates conversion, and more so on mobile. But a brand should not put a vendor-circulated percentage into a board paper. Measure your own. Seller Central reports buy-box percentage, and the relationship to your units is directly observable in your own data over a few weeks. One related mechanic is a step-change rather than a gradient: a suppressed buy box — where Amazon removes the Add to Cart button entirely, often triggered by pricing below an external reference — collapses a listing’s sales to a small fraction of normal. Unauthorised sellers pricing aggressively can trigger this on your own listing.

2.4 Channel conflict and authorised-partner attrition

This is where the largest quantifiable cost usually sits, and it is almost always under-measured because it appears in the sales ledger as ordinary account softness. An authorised retailer cannot match the marketplace price; its customers use it as a showroom; sell-through falls; it reduces reorders, demands margin support or price protection, or delists the brand. Unlike the “lost revenue” from the seller, this is a genuine loss of volume. How to measure it: correlate account-level reorder patterns with observed marketplace minimum price by SKU, and log every margin-support request and its stated reason. Most brands have this data and have never joined it up.

2.5 Advertising waste

If you run Sponsored Products or paid traffic to a listing you do not hold the buy box on, you are paying to deliver a customer who converts on someone else’s offer. The spend is real, immediate and precisely measurable — the one cost component a brand can quantify to the euro from data it already has: ad spend attributable to periods and ASINs where you did not hold the box.

2.6 Warranty, returns and service absorption

Units sold by unauthorised sellers generate warranty claims, returns and support contacts that land on the brand, which captured wholesale margin but now absorbs service cost calibrated to a full-margin sale — often on product past its intended sell-by window. This is also the mechanism that creates the strongest US legal claim (Section 4.4), so log claims and support contacts against proof-of-purchase channel.

2.7 Review and rating damage

Unauthorised sellers ship product the brand did not handle: aged stock, expired consumables, damaged or opened packaging, missing accessories. Because Amazon aggregates reviews at the ASIN level, the resulting negative reviews attach to your listing permanently. The seller churns their account; the reviews remain. The mechanism is not in doubt; the published conversion elasticities are not established. Measure the effect on your own listings by tracking rating trajectory against conversion through periods of seller activity.

2.8 Compliance, safety and recall exposure

The EU General Product Safety Regulation (EU) 2023/988 has applied since 13 December 2024, identically in every member state. Every product must be associated with a responsible economic operator established in the EU, whose details appear on the product and in the online offer (Article 19). Manufacturers must maintain traceability and investigate complaints. Where a recall is necessary, an effective, free and timely remedy must be provided; marketplaces carry specific obligations under Article 22. Enforcement is not theoretical: the Commission reported a record 4,671 Safety Gate alerts in 2025, up 13%, with recalls, withdrawals and delistings up 35%.

2.9 Brand equity

Real, and the reason Birkenstock and, for a period, Nike took the most drastic possible action. Also the component most prone to inflation in internal business cases, because it cannot be falsified. Treat it qualitatively, argue it on the specific facts of your category, and do not attach a number you cannot defend.

2.10 Cost components summarised

2.11 An illustrative cost model

Every figure below is an assumption, not a finding. The purpose is to show how the components aggregate and where the weight sits. Assumed brand: €50m net revenue, distributors in the US, UK and EU, product visible on three Amazon marketplaces, top 40 SKUs at 70% of marketplace visibility. Assumed situation: 14 unauthorised sellers across the top 40; marketplace minimum averaging 18% below MSRP; brand or authorised partner holding the buy box 45% of the time against an achievable 85%; €600k annual marketplace ad spend; €8m of revenue through accounts that also compete online.

Two observations that tend to hold across real cases. The largest single line is usually advertising waste or channel attrition — not anything to do with the seller’s own sales. And the forward price-erosion figure often exceeds the entire current-year attributable cost. This is why the problem compounds and why brands that tolerate it for three years find it much harder to fix in year four than in year one.

Detection and quantification

3.1 The data you need

Monitoring that produces enforcement-grade evidence must capture, per listing, over time: seller identity and displayed legal entity; buy-box holder and share; total offer count; price and price relative to your reference; fulfilment method; timestamp and market; listing content change history; and review velocity and rating trend. A single snapshot is nearly useless. The value is entirely in the time series.

One design point that is easy to get wrong: rank findings by cash impact, not by percentage gap. A 40% discount on a €12 accessory is a smaller problem than an 8% discount on a €400 unit that holds the buy box on your best-selling listing. Whatever ranking you use should be stated on the page so the reader can argue with it rather than distrust it. Also capture the absence: retailers where your product should be listed and is not. Coverage gaps are the same distribution problem viewed from the other side, and usually the finding a commercial director acts on fastest.

3.2 Identifying who the seller actually is

United States — the INFORM Consumers Act. In force since 27 June 2023, it requires marketplaces to collect and verify bank and identification information from high-volume third-party sellers (200 or more sales totalling $5,000 or more in any 12 months within the previous two years). Sellers reaching $20,000 in annual gross revenue trigger disclosure: the marketplace must conspicuously provide the seller’s full entity name, physical address and working contact information — and whether a different seller supplied the product, with that sub-seller’s details available on purchaser request. That last provision is a statutory route to the supply chain behind a storefront, available to any authenticated purchaser. It is, in effect, a legislated test-buy tool.

European Union — DSA Article 30. Regulation (EU) 2022/2065 came into full effect on 17 February 2024. Article 30 requires platforms allowing distance contracts with consumers to obtain, before granting access, the trader’s name, address, telephone and email; an identity document; payment account details; trade-register details; and a self-certification of product compliance. The platform must make the identifying details available in a clear, accessible form. Combined with national company registries and VAT lookups, a determined brand can now usually put a real legal entity behind a storefront. The days of drop-box addresses and shell names as an effective shield are ending.

3.3 Test-buy methodology

• Order from the target seller specifically — not merely from the listing. Verify the seller of record on the order confirmation and invoice.
• Preserve the shipment unopened where possible, or open it under photographic record.
• Photograph the outer packaging, shipping label, invoice, product packaging, and every lot, batch or serial code, with the order documentation visible in frame.
• Record order date, seller name, price paid, buy-box status at purchase, and a timestamped listing screenshot.
• Establish chain of custody: who received it, where it is stored, who has handled it. For matters likely to reach litigation, consider notarised receipt.
• Repeat over time. A single buy proves one unit. A pattern across several months proves a supply route.

3.4 Lot-code tracing: finding the leak

This is the highest-value investigative technique in the discipline, and the one most brands never attempt. If your product carries a batch, lot or serial code and you know which ranges went to which distributor, a test-buy unit’s code identifies the account that put it into the grey market. You then have a contract claim against a party you actually have a contract with — enormously more tractable than a trademark claim against an anonymous seller.

Two constraints. Code removal is itself actionable in the US. In Zino Davidoff SA v. CVS Corp., 571 F.3d 238 (2d Cir. 2009), removal of UPC serial codes from genuine perfume was held to constitute trademark infringement because it interfered with the brand’s quality-control programme. A seller who defeats your tracing by scraping off codes has handed you a stronger claim than the one you started with. FBA commingling defeats serialisation. Any serialisation strategy must be paired with a contractual requirement that authorised sellers opt out of commingling.

3.5 Cluster analysis

Seller accounts are cheap; operators are not. A single operator commonly runs multiple storefronts, and terminating one achieves nothing. Map accounts to operators using shared or adjacent addresses, shared phone numbers and email domains, common company officers in registry filings, identical listing copy and image sets, synchronised pricing behaviour, and identical packaging signatures across test buys.

3.6 Baseline metrics

Establish these before you start: unauthorised seller count, by operator cluster; average offer count per monitored listing; buy-box hold rate; minimum street price and MSRP-to-minimum spread by SKU and market; violation recurrence rate; time-to-removal; and leak-source attribution rate — the share of unauthorised inventory traced to a specific distributor account. This is the metric that distinguishes a real programme from a listing-removal treadmill, and almost nobody tracks it.

3.7 Data quality, and why it decides whether any of this is usable

Monitoring data is only worth having if it survives being put in front of a distributor. You take a report into a negotiation, the distributor identifies one wrong row, and every other figure is now disputed. One bad price point costs more credibility than fifty good ones earn. That demands automated anomaly flagging before anything reaches a human; manual verification weighted toward recently added retailers, where errors concentrate; low-confidence rows marked in the deliverable rather than silently dropped or included; and errors corrected the day they are found. Be wary of choosing a provider on a self-reported accuracy figure. Ask instead what happens when a number turns out to be wrong.

Remediation: the escalation ladder

Ordered by return on effort, not by severity.

4.1 Fix the source first

This is the argument of the paper. Every unit an unauthorised seller lists was sold by someone with an account. Remove the listing and leave the supply route open, and another listing appears. Brands run this treadmill for years, measure “listings removed” as success, and never move the underlying numbers.

Authorised-dealer agreement terms that actually matter: no resale to unauthorised parties, defined by reference to a maintained list; no marketplace sales without prior written consent, specified by marketplace; preservation of lot, batch and serial codes; mandatory opt-out of FBA commingling; the right to require unit-level serialisation; audit rights over sales records and customer lists; liquidated damages for diversion at a level exceeding the diversion margin; immediate termination for diversion without cure period; and an obligation to notify the brand of approaches from marketplace operators.

Order-pattern analytics: the leak is usually visible in your own order book before you find it on a marketplace. Look for orders that outrun demonstrable sell-through, quantity-break purchasing at tier boundaries or quarter-end, sudden growth in SKUs with no corresponding retail activity, and mismatches between ordered mix and the account’s stated customer profile. The order book tells you which accounts could be leaking. The marketplace data tells you which leaks are reaching consumers, where, at what price, and how much of your buy box they are taking. Joining them — an order anomaly matched against a new seller and a price break in the same SKU and market in the same week — converts a suspicion into a conversation you can hold with a distributor without embarrassing yourself.

4.2 Channel and pricing architecture

Diversion is an arbitrage business. It exists because of a price gap, and narrowing the gap reduces the incentive more reliably than any enforcement action. Rationalise the distributor list, accepting the honest trade-off in concentration risk and coverage. Narrow cross-market wholesale differentials — noting that in the EU you may not restrict cross-border passive sales, a hardcore restriction under Article 4(b)–(e) of Regulation (EU) 2022/720; you may change your prices, you may not partition the single market. Design promotions to resist arbitrage. Control the liquidation channel: returns and salvage contracts should specify destruction, de-branding or restricted resale territory. Much unauthorised inventory originates in a liquidation contract nobody in the commercial team has read.

4.3 Marketplace-native tools, and their limits

Marketplaces do not police authorisation status, and they are not wrong to decline. These tools address counterfeit, IP infringement and materially different goods. They do not address unauthorised resale of genuine product, which is the bulk of the problem.

4.4 Legal levers — United States

Trademark law provides two well-litigated exceptions to first sale. Material difference: a reseller infringes when it sells goods materially different from those the brand authorises. The threshold is low — no more than a slight difference consumers would deem relevant (Zino Davidoff). Absence of the manufacturer’s warranty has been held material (Beltronics USA v. Midwest Inventory Distribution, 562 F.3d 1067 (10th Cir. 2009)). The grey-market rule was set in Lever Bros. Co. v. United States, 981 F.2d 1330 (D.C. Cir. 1993). Quality control: goods sold outside the brand’s legitimate quality-control programme are not “genuine” for trademark purposes.

The leading modern application is Otter Products, LLC v. Triplenet Pricing Inc., No. 1:19-cv-00510 (D. Colo., 10 November 2021), granting partial summary judgment for OtterBox on trademark infringement, unfair competition, false advertising and Colorado Consumer Protection Act claims. Otter established legitimate, non-pretextual quality-control measures that all authorised sellers followed; its warranty covered only authorised purchases, so Triplenet’s product was materially different; and Triplenet’s listings nonetheless claimed the OtterBox limited lifetime warranty, supporting the false-advertising claims.

Other US claims: breach of contract against the leaking distributor (the strongest and cheapest, once traced); tortious interference against a seller who knowingly induced the breach; Lanham Act false advertising where the seller misrepresents warranty or authorisation; and copyright over product photography and copy. Realistic cost and timeline: a properly evidenced cease-and-desist, backed by test-buy documentation and a real quality-control programme, resolves a meaningful proportion of cases within weeks — most marketplace operators run a thin-margin volume business and will move to a different brand rather than fight. Litigate selectively, against persistent high-volume operators or where a precedent is needed.

4.5 Legal levers — EU and UK

Exhaustion is the rule. Under Article 15(1) EUTMR, rights are exhausted once goods are on the EEA market with consent; intra-EEA parallel trade generally cannot be blocked, and there is no general material-difference doctrine. The narrow exception: Article 15(2) preserves “legitimate reasons,” particularly where condition is impaired or presentation damages the mark’s reputation. In Copad SA v. Christian Dior Couture (C-59/08, 23 April 2009) the Court held a proprietor may oppose resale by a licensee to discounters outside a selective network where this damages the mark’s prestige; the limits are set by Dior v. Evora (C-337/95) and Portakabin v. Primakabin (C-558/08). Strongest for genuine luxury brands operating a coherent selective system; weak for everyone else.

Selective distribution is the real structural tool. A purely qualitative system falls outside Article 101(1) where the nature of the product requires it, resellers are chosen on objective qualitative criteria applied uniformly, and the criteria go no further than necessary (the Metro criteria). In Coty Germany v. Parfümerie Akzente (C-230/16, 6 December 2017) the Court held a supplier of luxury goods may prohibit authorised distributors from selling via discernible third-party platforms. The limit: a blanket ban on all online sales is unlawful — the Autorité de la concurrence fined Rolex France €91,600,000 on 19 December 2023 (Decision 23-D-13) for a decade-long prohibition. Permissible criteria include presentation, service level, trained customer service, minimum stock, publication on an authorised-dealer list and quality standards for online sales. Enforcing these criteria is lawful and effective. Enforcing price is not — see the companion MAP paper.

4.6 Customs and border measures

EU: an Application for Action under Regulation (EU) 608/2013 allows customs to detain suspected infringing goods; effective against counterfeit, of limited use against genuine goods in intra-EEA circulation. US: recordation of trademarks with Customs and Border Protection, and Lever-rule protection for materially different grey-market goods, which allows CBP to detain genuine foreign-market product that differs from the authorised US version. One of the few tools that operates at scale rather than seller by seller, and it is under-used.

4.7 The DTC and 1P counter-strategy — and the case against exiting

Birkenstock withdrew from Amazon in the US from 1 January 2017, refused to authorise any third-party seller, and warned vendors that any partner selling to Amazon would be cut off permanently. It also obtained a Düsseldorf injunction restraining Amazon from typo-based search advertising that routed consumers to marketplace listings. Nike took the opposite route first and reversed twice: a 2017 first-party pilot intended to displace third-party sellers, which failed as removed listings reappeared under different names; an exit in November 2019; a DTC build reaching roughly $7.6bn in digital sales by FY2023; and a return to Amazon in 2025.

The lesson from the pair is not “exit” or “don’t exit.” It is that marketplace presence is not the variable that determines control. Nike had a first-party relationship and still could not control the listing environment, because the inventory was already in the grey market and the supply route was open. Birkenstock’s exit worked to the extent it did because it was paired with a credible threat to terminate any partner who supplied Amazon — a supply-side action. Owning the buy box treats the symptom. It does not close the leak.

4.8 What does not work

• Mass cease-and-desists with no supply cut-off. Generates activity, moves no metrics, and trains sellers that your threats do not escalate.
• Buying up unauthorised inventory. Funds the diverter and signals that diversion is profitable. It reliably produces more of it.
• Abusive IP takedowns against genuine goods. Policy violation, risks your Brand Registry, and invites counterclaims — Triplenet counterclaimed for tortious interference, and that is the standard response.
• Marketplace support tickets as an enforcement channel. They are not one.
• Informal agreements with diverters. Unenforceable, and in the EU an informal understanding about pricing is precisely the conduct that constitutes indirect resale price maintenance.
• Measuring “listings removed.” An activity metric masquerading as an outcome metric. Measure leak-source attribution and offer count instead.

Building the programme

5.1 Operating model

Channel integrity sits awkwardly across three functions and consequently often belongs to none of them. Commercial owns the distributor relationships and must be the one to act on a leak. E-commerce owns the monitoring data, the buy-box metrics and the marketplace relationships. Legal owns the contract terms, the quality-control documentation and the enforcement sequence. It needs a single owner with authority across all three, a cadence — daily capture, weekly review of new sellers and price movement, monthly leak analysis against the order book, quarterly review at commercial-leadership level — and an escalation path for the strategic-account case defined in advance, in writing, with named decision-makers. This is the point at which most programmes die.

5.2 Build versus buy

Building marketplace monitoring in-house is deceptively hard: marketplace data is anti-scraped, structures change constantly, and the value is in longitudinal consistency rather than any single day’s capture. Most brands under €200m should buy. Demand: seller-level identity resolution, not just listing-level price capture; buy-box holder history; full offer-count and listing-change history; coverage of every marketplace and country you actually sell in, including the ones you did not authorise; export in a form your legal team can use as evidence; and clarity on collection methodology and its stability.

Two structural questions most procurement processes miss. What happens when you need a retailer that isn’t covered? The honest answer from most platforms is that it enters a roadmap. For a brand whose diversion problem is concentrated on one regional marketplace, that is the difference between a working programme and an expensive dashboard. Ask what the turnaround is for a new retailer, a new alert type or a new export format — and get it in writing. What does the contract commit you to? The enterprise segment runs €40–60k a year on annual commitments with rigid scoping; the self-serve segment is thin outside the largest marketplaces. Most mid-market brands need something that is neither: real coverage of the retailers where their problem actually is, built around how they distribute, without a twelve-month commitment made before they know whether the data is any good.

5.3 First 90 days

1. Days 1–30 — see the problem. Instrument monitoring across all marketplaces and markets. Baseline the metrics in Section 3.6. Pull 24 months of order data. Read your distributor agreements and liquidation contracts and inventory what they actually permit — this is usually a surprise.
2. Days 31–60 — find the source. Test-buy the top five unauthorised sellers by volume. Trace lot codes. Retrieve INFORM and DSA disclosures. Map accounts to operators. Cross-reference against the order-book anomalies. Identify the top two or three leak candidates.
3. Days 61–90 — decide and act. Present the cost model, with your own numbers, to commercial leadership. Get an advance decision on the strategic-account question. Begin the distributor agreement rewrite. Open contract conversations with the identified leak sources. Issue evidenced letters only where you have a genuine claim.

5.4 Twelve-month maturity

By month twelve a mature programme has rewritten distributor agreements in force across the network; a documented and consistently applied quality-control programme capable of supporting US material-difference claims; lot-code or serial traceability from production to distributor; monitoring producing evidence-grade output; a defined and tested escalation path; and leak-source attribution above 50%.

5.5 ROI framing

Build the internal case on the components you can measure with your own data — advertising waste, margin-support concessions, account attrition, buy-box share — not on vendor statistics or the seller’s own revenue. A business case built on the €400k the seller turned over will not survive contact with a competent CFO, who will ask whether the brand was paid for those units. One built on €198k of demonstrably wasted ad spend and €120k of margin support will. Be realistic about recovery: removing every unauthorised seller is not achievable. Reducing the count, raising the price floor, recovering buy-box share and, above all, closing the leaks are — and they compound.

Outlook to 2026 and beyond

Traceability becomes infrastructure. GS1 Sunrise 2027 targets global retail point-of-sale capability to scan 2D barcodes by the end of 2027, with a multi-year dual-marking period into 2028–29. It converges with binding regulation: the EU Digital Product Passport under Regulation (EU) 2024/1781 requires a unique product identifier accessible via a data carrier, with product-specific acts rolling out through 2026–27, and digital battery passports mandatory from 18 February 2027 under Regulation (EU) 2023/1542. Brands are about to be required, for sustainability reasons, to build exactly the unit-level traceability that anti-diversion programmes have historically had to justify on their own. Scope the two projects together rather than sequentially.

Product-safety enforcement tightens. GPSR has applied since December 2024, the Commission published implementation guidance on 19 November 2025, and enforcement volumes are rising. Seller anonymity continues to erode as DSA Article 30 and INFORM enforcement practice forms. Algorithmic detection — seller-network clustering across marketplaces — is the area where tooling is improving fastest. What will not change: none of the above closes a leak. Regulation is making detection cheaper and attribution easier. It is not making the conversation with your largest distributor any easier, and that conversation remains the actual bottleneck.

The Merqi layer

Everything above describes what a brand needs to see. This section describes what we built to see it. It is deliberately last: the analysis stands without it, and a reader who takes nothing from this paper but the taxonomy in Section 1 and the leak-source argument in Section 4.1 will be better off than they were.

7.1 Seeing the market

Seller and buy-box visibility over time. For every monitored product on every monitored retailer: who is listing it, who holds the buy box, at what price, and how that has changed — a time series with seller entry and exit dates retained historically, because those dates are where the causation lives. A price break that begins the week a new seller appears is an argument. A price that is simply low is not.

Price against your reference, per market. Every observed price tracked against your MSRP or MAP reference for that specific market. Fulfilment method, distinguishing a distributor selling directly from an operator running platform-fulfilled diverted stock. Listing content change history — content drift on your own listing is frequently the first visible symptom of a seller you have not yet identified. Review count and rating trend per listing, so rating trajectory can be read against seller activity rather than guessed at. Coverage gaps. Availability and stock-gap tracking, because an authorised partner going out of stock is frequently the moment an unauthorised seller takes the buy box and keeps it.

7.2 Identifying who you are actually dealing with

Entity resolution. We resolve a storefront name to a legal entity — registry records, VAT numbers, addresses — drawing on the disclosures mandated by INFORM and DSA Article 30. The regulatory change in Section 3.2 is only useful if someone systematically harvests and joins it. Seller-cluster mapping. Multiple storefronts resolved to a single operator, which is what makes account-level enforcement worth doing at all. Cross-market arbitrage detection. The same SKU compared across countries, surfacing the price differentials that cause diversion rather than the symptoms that follow it. For a brand selling across the EU, the German-to-Polish or French-to-Spanish gap on its own catalogue is usually a finding it has never seen stated numerically.

7.3 Closing the loop

Order-book ingestion. We take in client sales and order data and join it against the marketplace signal. This is the capability that matters most, and the one the rest of this paper builds toward. The order book alone tells you which accounts could be leaking; marketplace data alone tells you product is reaching consumers through channels you did not authorise. Joining them identifies the source: an account’s order anomaly matched against a new seller appearing, in the same SKU, in the same market, in the same week. It is the difference between a monitoring dashboard and a programme that closes leaks, and it is why the metric worth reporting is leak-source attribution rate rather than listings removed.

Evidence-grade export. Timestamped, complete, reproducible records suitable for your legal team — supporting the test-buy standards in Section 3.3, cease-and-desist correspondence, and the record a US material-difference or quality-control claim requires.

7.4 Getting it into your workflow

Alerting as events happen, not in a monthly digest. API and scheduled export into your own systems, so the data lands where your team already works. A written monthly distribution report — not a dashboard export. The artefact a commercial director takes into a distributor meeting.

7.5 How we work

Built with you, not configured for you. A new retailer, a new alert type, a new export format gets built. Client requests are implemented as a general capability and then configured per client, so the product improves rather than fragmenting into bespoke systems. A deliberately small client base, because the value is in understanding how a specific brand distributes — not in a login. We flag low-confidence rows in the deliverable, state our matching accuracy plainly when asked, and fix anything wrong the same day. Those are the commitments that survive contact with a distributor negotiation.

Conclusion

The unauthorised-seller problem is widely misdiagnosed as a marketplace problem and widely mis-costed as lost revenue. It is neither. It is a distribution-control problem whose costs land in advertising efficiency, channel relationships, forward pricing power and — increasingly — regulatory compliance.

The remedies that work reflect that. Get the distributor agreements right. Instrument the order book. Trace the lot codes. Decide in advance what you will do when the trail leads to a major account. Build the quality-control programme now, documented and consistently applied, so that the US legal route is available when you need it. Use selective distribution rather than price pressure in the EU. Treat marketplace tools as what they are: instruments for counterfeit and IP, not for authorisation status. And measure the right things. “Listings removed” is an activity metric. Leak-source attribution rate is the one that tells you whether you are solving the problem or running on the spot.

References

This paper is general information and does not constitute legal advice. Distribution, trademark and competition law in this area is fact-dependent and jurisdiction-specific. Obtain jurisdiction-specific legal advice before designing or enforcing any distribution or brand-protection programme.