TMF-Listed? Industry Predicts Approval Odds More Than Chargebacks

Among TMF/MATCH-listed merchants we underwrite at SeamlessChex, vertical risk weighting determines approval outcomes more consistently than chargeback history alone. A nutraceutical seller and a moving company presenting identical MATCH reason codes and identical chargeback remediation profiles do not face the same approval odds. In our experience processing these applications, the nutraceutical seller clears roughly half as often, because acquirers price the lifetime risk profile of the underlying industry, not just the listing itself.

Most content about the MATCH list stops at the same three observations: you are listed for five years, standard processors will decline you, and a specialist may approve you. None of it quantifies what "may approve you" actually means, and none of it accounts for the variable that moves the needle most in underwriting: your industry.

That gap is what this article addresses. I have spent years working with businesses that have been shut down by Stripe, PayPal, and traditional acquirers, helping them navigate reentry into credit card processing. The pattern that emerges from that work is consistent and, to my knowledge, not documented anywhere else: approval rates for MATCH-listed merchants with identical profiles can differ by 30 percentage points or more depending solely on the vertical they operate in. Reserves follow the same pattern in reverse.

Understanding which side of that divide your business sits on, and why, is the most practical thing you can know when you are looking for a way back to reliable card processing.

What the MATCH List Actually Records (Beyond Chargeback Rate)

The MATCH list - Mastercard's Member Alert to Control High-Risk Merchants, which replaced the older Terminated Merchant File designation - is not a chargeback counter.

It is a termination record, and that distinction matters enormously when a listed merchant applies for a new credit card merchant account, as of September 2026.

When an acquirer pulls your MATCH record, they see four things: the reason code explaining why you were listed, the termination date that starts the five-year clock, the name and identifiers of the business, and the principal information tied to the listing. The chargeback rate that led to termination is not stored on the record itself. That number lives in your processing statements, which you will need to provide separately.

Mastercard defines 14 reason codes that classify why a merchant was terminated. In my experience underwriting MATCH-listed merchants, the reason code is the first thing a serious acquirer looks at, and it immediately divides the applicant pool into two very different categories:

• Chargeback and operational codes (Reason Codes 01, 02, 04, 06): These represent merchants who ran into processing problems, excessive chargebacks (Code 04, the most common listing), account data compromise, or operational failures. These are the listings with the clearest remediation path.
• Fraud and misconduct codes (Reason Codes 03, 05, 07, 08, 09, 10, 11, 13, 14): Laundering, illegal transactions, identity theft, collusive merchant behavior. These carry a fundamentally different level of scrutiny. Fraud codes are treated as disqualifying by virtually all acquirers, regardless of how clean your current processing looks.

Reason Code 04 (Excessive Chargebacks) accounts for the majority of MATCH listings and is the most frequently approved when a merchant documents what changed operationally and presents a concrete remediation plan. That documentation matters. An acquirer seeing a Code 04 listing from 18 months ago alongside six clean processing statements, a detailed chargeback reduction plan, and a strong refund policy is looking at a materially different risk picture than a merchant who shows up with no context.

What most explainer articles miss is that a MATCH listing is a conversation starter with an underwriter, not a door permanently closed. Based on the applications we process at SeamlessChex, standard processors decline 85 to 90 percent of MATCH-listed applicants outright, typically without a substantive review. Specialized high-risk processors work from the opposite assumption: most Code 04 listings are recoverable, and the residual risk gets priced into the terms rather than used as a blanket denial.

Two practical limits apply almost universally regardless of reason code. First, merchants processing under $100,000 per month are unlikely to attract an acquirer willing to absorb the overhead of a MATCH-listed account. The underwriting cost and reserve exposure simply do not pencil out at lower volumes. Second, a current chargeback ratio above 1 percent effectively re-creates the original problem and will end most applications before they reach a decision. Both are fixable, and addressing them before you apply materially shifts the outcome.

Understanding your reason code is step one. Step two is understanding how your industry changes the math from there.

What Will Shape MATCH Approval Odds in the Next 12 to 24 Months

The MATCH underwriting environment is not static. Several forces are converging that will make vertical risk weighting more pronounced, not less, over the next two years. Merchants who understand these trends now can position themselves ahead of the shift rather than react to it after the fact.

AI-Driven Underwriting Will Amplify Vertical Scoring

Acquiring banks are accelerating the deployment of machine-learning underwriting models that score merchants against aggregate vertical performance data in real time, rather than relying primarily on the individual application file. For MATCH-listed merchants, this means the industry baseline risk component of their underwriting decision will carry more weight than it does today, not less. A supplement merchant whose vertical's portfolio loss rate ticked upward across the acquirer's book will see that reflected in their terms even if their individual application is pristine. The merchants best positioned in this environment are those who can demonstrate a structural divergence from their vertical's problem patterns, not just a clean chargeback rate.

Card Network Monitoring Programs Are Expanding

Visa's and Mastercard's chargeback monitoring programs have been tightening thresholds and expanding their scope to include additional MCC categories. Several verticals that previously operated at the edge of acceptable dispute ratios are moving closer to territory where MATCH-eligible terminations become more likely. Nutraceuticals, subscription services with negative-option billing, and high-ticket service businesses are all categories where the probability of a Code 04 listing is increasing at the industry level. Merchants in these categories who are currently MATCH-listed should expect that the acquirer risk models applied to them will be calibrated against an expanding pool of listings in their vertical.

Regulatory Pressure on High-Risk Verticals Will Carry Into Underwriting

FTC enforcement activity around negative-option subscription billing has been escalating, and the Consumer Financial Protection Bureau's enforcement posture on recurring payment products remains active. Acquirers that hold portfolios with exposure to these verticals will price the regulatory headline risk into their MATCH-listed merchant approvals over the next 12 to 24 months. GLP-1 and compounded peptide verticals, which are navigating active FDA and FTC scrutiny simultaneously, face the most complex underwriting environment of any growing vertical in the current cycle.

What Merchants Can Do Now

The merchants who will navigate this period best are those who treat the MATCH listing as one factor in a broader compliance and operational posture, not just a box to wait out. Three concrete steps that improve your position regardless of how the underwriting environment tightens:

• Invest in dispute prevention infrastructure now: Real-time chargeback alert systems (Verifi, Ethoca) that let you refund before a dispute posts keep your ratio low and create documented evidence of active risk management
• Build a compliance paper trail: Updated refund policies, billing descriptor clarity, customer communication logs, and subscription cancellation documentation are the artifacts that let you tell an acquirer a credible remediation story
• Target the right acquirer for your vertical: The specialized processor with experience in your specific industry vertical will have better-calibrated risk models and more relevant acquirer relationships than a generalist high-risk processor. For MATCH-listed merchants, who your sponsor bank is matters as much as who your processor is

The five-year MATCH window is a known constraint. The underwriting environment within that window will shift. Merchants who prepare for where it is going, rather than where it is today, will access better terms and more stable processing relationships.

Why Industry Risk Weighting Outranks the Listing Reason in Underwriting

Here is what consensus content on MATCH recovery never tells you: two businesses with identical reason codes, identical chargeback histories, and equally clean post-listing processing statements will not receive the same underwriting decision if they operate in different industries.

I have watched this play out consistently in our application pipeline. A moving and relocation company listed under Code 04 two years ago, currently running a 0.8 percent chargeback rate, will move through underwriting faster and with lighter reserve requirements than a nutraceutical seller presenting the same paperwork. Not because the nutraceutical seller did something worse. Because the underlying industry carries a different acquirer risk model that applies before the individual file is even opened.

The reason comes down to how acquirers price future risk, not just past behavior. When an acquiring bank underwrites a MATCH-listed merchant, they are absorbing three distinct risk exposures simultaneously:

1. The listing itself: what happened, how long ago, and whether it is likely to recur given the remediation evidence presented
2. Current operational risk: the transaction mix, refund rates, and dispute velocity the merchant is producing right now
3. Industry baseline risk: the aggregate loss history acquirers carry across all merchants in that vertical, regardless of individual performance

That third factor is the one most listed merchants do not account for when they apply. It is also the one they have the least ability to change.

Nutraceutical and supplement merchants carry one of the highest industry baseline chargeback rates in the payments ecosystem. The category is disproportionately targeted by trial-offer disputes, subscription confusion chargebacks, and friendly fraud at rates acquirers see repeatedly across thousands of merchants in the vertical. When a nutraceutical seller appears on a MATCH application, even with a Code 04 reason and genuinely clean current statements, the acquirer's risk model is already priced at a higher friction level before the file is reviewed.

Contrast that with a moving company. The average moving company's chargeback profile involves service-delivery disputes with traceable documentation. The dispute resolution path is shorter, acquirers' historical portfolio loss rates in that vertical are lower, and the underwriting model reflects that difference in both approval odds and reserve terms.

This is not a policy any single acquirer publishes. It emerges from the aggregate of underwriting decisions across thousands of applications. But it is consistent enough in our pipeline that vertical has become one of the first filters I apply when evaluating a MATCH-listed merchant's realistic approval prospects before they invest time in a full application package.

Other vertical characteristics that create meaningful differences in underwriting outcomes:

• Subscription versus one-time billing: Recurring billing models face higher baseline dispute rates from consumers who forget charges, which compounds the risk profile of an already-listed merchant
• Product return complexity: Verticals with ambiguous refund windows, such as digital products, event tickets, or custom goods, face tighter scrutiny than verticals with clear and unconditional return policies
• Active regulatory environment: Industries under ongoing regulatory change, including telehealth, GLP-1 compounds, and certain financial services, carry acquirer concern about future compliance risk layered on top of the MATCH history
• Average transaction size: Higher ticket sizes increase the reserve exposure an acquirer absorbs on every approved transaction, particularly during the reserve period

Understanding where your industry sits in that risk matrix before you apply is the most actionable preparation a listed merchant can do. It determines which acquirers are worth approaching, what terms to expect, and how much documentation will be needed to offset the vertical discount.

Approval Rate Benchmarks for MATCH-Listed Merchants by Vertical

What does this look like in practice? Based on MATCH-listed applications we have underwritten at SeamlessChex, approval rates vary significantly by industry even when we hold the listing reason and current chargeback profile constant.

The benchmarks below reflect Reason Code 04 listings only - the most common category - with applicants presenting current chargeback ratios below 1 percent and at least six months of post-listing processing history. Fraud-coded listings are handled through a separate evaluation and fall outside these ranges entirely.

A few things stand out immediately. First, the spread between the highest-approval and lowest-approval verticals is substantial: a moving company has roughly twice the approval probability of a nutraceutical seller presenting the same MATCH profile. Second, reserve terms scale in the opposite direction from approval rates. The verticals with the lowest approval odds also carry the heaviest rolling reserves when they do get approved.

Rolling reserves are not just a line-item fee. They are a material cash flow consideration for any merchant who has already had funds frozen or held by a prior processor. A 15 to 20 percent rolling reserve on a business processing $150,000 per month means $22,500 to $30,000 in capital held back during the reserve window. For merchants rebuilding after a Stripe, PayPal, or Shopify Payments shutdown, that liquidity impact needs to factor directly into the financial plan.

Three additional variables shift these approval rates meaningfully, regardless of vertical:

• Time since listing: Merchants 36 months or more past their listing date see materially better approval odds and reserve terms than those applying within the first 12 months. The five-year listing term is not a flat wall. Acquirers read elapsed time as a signal of sustained remediation, not just patience.
• Monthly processing volume: Merchants above $100,000 per month attract more acquirer interest and can negotiate better reserve terms. Volume below that threshold reduces available acquirer options significantly in every vertical, but particularly in the high-friction categories.
• Application documentation quality: A well-prepared application that includes an explicit chargeback remediation plan, updated dispute and refund policies, three to six months of clean processing statements, and clear business documentation moves through underwriting faster and at better terms in every vertical we work with.

The practical implication is this: if you are MATCH-listed and operate in a high-friction vertical, approval is a question of preparation and positioning, not impossibility. Getting your current chargeback rate well below 1 percent, documenting every operational change since the listing, and presenting a cohesive remediation narrative are the highest-leverage steps available before you approach any acquirer. Verticals near the middle of this range, including gaming and GLP-1, tend to have more variance than the averages suggest. An established gaming merchant with documented responsible-gaming protocols and low friendly-fraud rates is a different file than a newly launched gaming merchant with a fresh Code 04 listing. Underwriters price what they see, and what you put in front of them determines whether your vertical is the ceiling or the floor of your outcome.

A MATCH or TMF listing is a serious obstacle to credit card processing, but it is not an obstacle that looks the same for every business. The approval odds, the reserve terms, and the realistic timeline for getting back to stable processing all depend on which industry you operate in as much as, or more than, why you were listed in the first place.

If your business is in a vertically favorable category, moving and relocation, insurance, or traditional service businesses, a Code 04 listing two or more years back with a clean current chargeback rate puts you in a genuinely approvable position with the right specialized processor. If you operate in a high-friction vertical like nutraceuticals or digital subscriptions, approval is still possible, but it requires more preparation, more documentation, and a willingness to absorb heavier reserve terms while you rebuild acquirer confidence.

Either way, the path forward starts with an honest assessment of where you sit in that risk matrix before you spend time on applications that are priced to fail. SeamlessChex works with established businesses processing a minimum of $25,000 per month. If you have been shut down by a standard processor and need a credit card merchant account that will hold, our TMF/MATCH merchant account program is built for exactly this situation. Contact us and let us evaluate your specific file.