How RapidCents Can Guarantee Lower Chargebacks — The Technology Behind the Promise

01

A Significant Promise

“We guarantee we can lower your chargebacks.” That is a significant statement for any payment processor to make.

Chargebacks are influenced by customers, issuing banks, fraudsters, fulfilment practices, billing descriptors, refund policies, card-network rules and many other factors outside the direct control of a payment company. So how can RapidCents make a guarantee like this?

The answer is simple: we do not make the guarantee blindly. We measure the problem before we process the first transaction, identify why the merchant is receiving chargebacks, configure our technology around those risks, and then measure the results against the merchant’s own historical performance.

And unlike many payment providers, we built the technology controlling that process ourselves.

02

First, Let’s Be Clear About What We Guarantee

RapidCents does not guarantee that a merchant will never receive another chargeback. We also cannot guarantee that an issuing bank will rule in the merchant’s favour on every dispute. The issuing bank and applicable card-network rules ultimately determine the outcome of an individual chargeback.

Our guarantee is different. For merchants that qualify for the RapidCents Chargeback Reduction Guarantee, we establish a verified historical chargeback baseline before the merchant begins processing with RapidCents. We then measure chargeback performance after migration using comparable transaction data.

Our guarantee is that qualified merchants will experience a lower chargeback rate than their verified historical baseline, subject to the conditions of the written guarantee.

That is measurable. That is auditable. And that is very different from making a vague claim that our fraud software is “better.”

03

We Start Three Years Before Your First RapidCents Transaction

Before approving a merchant for the guarantee, RapidCents wants to understand the history of the problem. We require up to the previous 36 months of merchant processing statements, where available, together with historical chargeback information from the merchant’s previous processor or processors.

We review much more than the total number of chargebacks. We want to understand:

• Chargeback count
• Chargeback amount
• Chargeback-to-transaction ratio
• Chargeback-to-sales ratio
• Card-present versus card-not-present activity
• Fraud versus non-fraud disputes
• Reason codes
• Average ticket size
• High-ticket transactions
• Refund behaviour
• Recurring and subscription transactions
• Geographic patterns
• Transaction velocity
• Seasonal changes
• Duplicate transaction disputes
• Product-not-received disputes
• Product-or-service quality disputes
• Cancellation-related disputes
• Authorization-related disputes
• Suspected friendly fraud
• Confirmed payment fraud

We also review the actual historical chargeback notifications where they are available. Why? Because two merchants can each have a 0.7% chargeback rate and have completely different problems.

One may have stolen-card fraud. Another may have a confusing billing descriptor. Another may have customers who cannot easily cancel subscriptions. Another may have shipping problems. Another may be getting attacked by automated card-testing bots. Another may simply have poor evidence when legitimate transactions are disputed.

You cannot reduce chargebacks effectively until you understand why they are happening.

04

Fraud Prevention and Chargeback Management Are Not the Same Thing

This is one of the most important distinctions in payments. Fraud prevention operates primarily before and during the transaction. Chargeback prevention continues before, during and after the transaction.

Stopping fraudulent transactions is important, but not every chargeback is fraud. A legitimate customer can dispute a legitimate purchase. A customer may not recognize the billing descriptor. A shipment may arrive late. A customer may claim they cancelled a subscription. Two transactions may accidentally appear similar. A merchant may fail to retain the evidence needed to prove that a service was delivered.

That is why RapidCents does not treat chargebacks as one problem. We treat them as a lifecycle. Prevent what should never be approved. Identify what deserves additional verification. Preserve evidence for what is approved. Recognize problems before they become disputes. And respond intelligently when a dispute occurs.

05

The First Advantage: Our Fraud Technology Is Built Into Our Payment Infrastructure

Many payment companies rely heavily on separate third-party fraud products. A transaction reaches the payment company. Selected transaction information is sent through an API to another fraud provider. That company evaluates it. A score comes back. The payment platform then decides what to do.

Third-party technology can be useful, and there are excellent fraud companies in the market. But RapidCents chose a different architecture for its core risk capabilities. Our fraud intelligence is built into the RapidCents payment environment. We control the payment flow and the risk decisioning around it. That creates several significant advantages.

No external fraud API needs to sit in the critical decision path. Every additional external API creates another network request, another dependency and another potential point of latency or failure. Native risk decisioning allows RapidCents to evaluate risk as part of the payment workflow itself.

We see the transaction in its payment context. A fraud provider may receive selected fields supplied through an API. RapidCents is processing the transaction. That allows the risk system to analyze the payment together with the surrounding transaction context available to the platform.

We can connect prevention with what happens afterward. The most valuable fraud signal is not simply “Was this transaction suspicious?” The more important question is “What eventually happened to this transaction?” Was it approved? Declined? Refunded? Disputed? Charged back? Was the chargeback fraud-related? Was the dispute successfully represented? Did similar activity appear again? Those outcomes can improve future risk decisions.

06

AI Should Learn From Outcomes, Not Simply Generate a Score

RapidCents’ proprietary risk technology is AI-backed, but there is an important technical distinction in how we think about machine learning. A responsible financial-risk system should not blindly rewrite itself after every transaction. That would introduce significant model-governance and even model-poisoning risks.

Instead, every transaction creates additional signals. As verified outcomes become available—fraud confirmations, disputes, chargebacks, refunds, legitimate transactions and other labelled events—those outcomes can feed a governed learning and model-improvement process. That creates a feedback loop: Transaction → Risk Decision → Payment Outcome → Dispute/Fraud Outcome → Learning → Better Future Decision.

The more quality outcome data available to the system, the better the opportunity to distinguish abnormal behaviour from normal customer behaviour. And because RapidCents processes transactions across a portfolio of merchants, our risk intelligence does not have to look at each transaction as an isolated event inside one merchant account. Patterns can be evaluated within the broader payment environment while maintaining appropriate merchant isolation and security controls.

That broader context is extremely valuable. A transaction that looks normal by itself may become much more interesting when the system detects unusual velocity, device behaviour or repeated attempts associated with related signals.

07

A Single Risk Score Is Not Enough

Fraud is multidimensional. A transaction can have a low traditional fraud score while exhibiting characteristics of:

• Card testing
• Account takeover
• First-party misuse
• Bot activity
• Abnormal transaction velocity
• Geographic inconsistency
• Device anomalies
• Unusual purchase behaviour
• Repeated payment attempts
• High-risk transaction patterns

RapidCents therefore combines multiple layers of risk intelligence rather than asking one score to make every decision. Our broader fraud and dispute architecture is designed around separate risk dimensions, real-time decisioning, 3-D Secure orchestration, dispute evidence and network monitoring rather than treating fraud as one opaque number.

08

Device Intelligence Adds Another Layer

A card number does not tell the entire story. For supported online payment flows, RapidCents can evaluate device-related information alongside transaction information. RapidCents’ documented fraud-analysis capabilities can surface signals including risk assessment, risk score, visitor identifiers, IP information, location, browser, operating system, device type and indicators associated with VPN, Tor or incognito usage.

None of those signals alone proves fraud. That is important. Using a VPN does not make someone a criminal. An unusual IP address does not automatically mean a transaction should be declined. The value comes from correlation.

For example: a new device may be normal. A high-value transaction may be normal. Several payment attempts may be normal. A different geographic location may be normal. But when several unusual characteristics appear together, the risk profile changes.

That is where intelligent risk analysis becomes much more powerful than a simple rule such as “Decline everything above $5,000.”

09

Velocity Detection Helps Identify Attacks Early

Fraudsters rarely behave like ordinary customers. Card-testing attacks may involve repeated attempts across cards, devices, addresses or short periods of time. RapidCents’ fraud controls include velocity analysis designed to identify repeated payment activity involving signals such as the same card, device or address.

Velocity can be analyzed across different time windows. Seconds. Minutes. Hours. Days. The important question becomes: is this behaviour consistent with legitimate activity for this merchant, or does it resemble an automated or coordinated attack?

Stopping that activity before authorization and settlement can prevent an entire future group of chargebacks.

10

AVS and CVV Are Signals, Not Complete Fraud Strategies

Address Verification Service and CVV verification remain useful components of card-not-present risk controls. RapidCents can incorporate address and CVV verification where the transaction’s risk profile justifies it.

But we do not believe a modern fraud strategy should stop there. Fraudsters can obtain cardholder information. A successful CVV match does not necessarily mean the person making the purchase is legitimate.

That is why verification signals should be considered alongside behavioural, device, velocity and transaction intelligence.

11

3-D Secure Can Add Cardholder Authentication

For appropriate transactions, 3-D Secure can provide another important layer. Rather than relying only on merchant-side analysis, 3-D Secure allows the cardholder’s issuing bank to participate in authentication. Depending on the transaction and applicable network rules, this may involve additional authentication and can affect liability for certain fraud-related disputes.

RapidCents supports 3-D Secure as part of its fraud-prevention capabilities. The key is not to challenge every customer unnecessarily. Security that blocks legitimate customers is not successful fraud prevention.

The objective is to stop more bad transactions while allowing more good transactions to complete with minimal friction.

12

Human Review Still Matters

AI should not eliminate judgement from high-impact financial decisions. RapidCents supports review workflows for transactions that require additional attention.

Instead of treating every transaction as simply Approve / Decline, a sophisticated risk environment can introduce Approve / Decline / Verify / Review. That middle ground matters. RapidCents’ fraud product includes a review queue so selected flagged transactions can be examined before proceeding.

This can help reduce two expensive problems simultaneously: fraud losses and false positives. Declining a fraudulent transaction saves money. Declining a legitimate $10,000 customer because of an overly aggressive rule loses money. The objective is to optimize both.

13

We Protect the Evidence Before a Chargeback Exists

Eventually, some disputes will still happen. That is unavoidable in card payments. The next question becomes: can the merchant prove what happened?

RapidCents’ chargeback platform organizes dispute information around the original transaction and can assemble available authorization, transaction, delivery and service information into an evidence workflow. Its documented capabilities include:

• Dispute inbox management
• Reason-code guidance
• Evidence templates
• Document collection
• Deadline tracking
• Alerts
• Representment workflows
• Win/loss analytics by reason code and channel

RapidCents’ public chargeback-protection documentation specifically describes assembling transaction and authorization information into an evidence package while tracking response deadlines.

That matters because winning a legitimate dispute frequently comes down to evidence. Not emotion. Not an explanation written three months later. Evidence.

14

Every Chargeback Should Make the System Smarter

A chargeback should not simply be processed and forgotten. It should become intelligence. Suppose a merchant receives 30 disputes. We want to know:

• Which reason codes increased?
• Which products were involved?
• Which channels generated them?
• What transaction characteristics were shared?
• Were particular devices involved?
• Did certain transaction amounts appear repeatedly?
• Was 3-D Secure used?
• Was AVS successful?
• Was CVV successful?
• Did the merchant have sufficient fulfilment evidence?
• Was the dispute actual fraud or first-party misuse?
• Could the transaction have been prevented?
• Could the dispute have been avoided through a refund?
• Could better customer communication have prevented it?
• Could stronger evidence have improved the result?

That information feeds back into prevention. This is what turns chargeback management from an administrative process into a risk-intelligence system.

15

We Also Look for Operational Chargebacks

Some processors focus almost entirely on stolen-card fraud. That misses a large part of the problem. Chargebacks can originate from business operations.

For example: a confusing billing descriptor. Unclear cancellation language. A poorly disclosed recurring payment. Shipping delays. Missing delivery confirmation. A refund that takes too long. Duplicate billing. Poor customer communication. A product description that does not match what was delivered.

If historical chargebacks tell us that the merchant’s primary problem is operational, increasing the fraud threshold will not fix it. We address the cause.

That may mean changing transaction controls. It may mean changing the checkout. It may mean improving evidence capture. It may mean adjusting cancellation or refund workflows. It may mean fixing the billing descriptor. It may mean adding authentication.

The goal is not to decline more transactions. The goal is to create fewer legitimate reasons for chargebacks to occur.

16

Why We Require Historical Statements Before Offering the Guarantee

Now the reason for our qualification process should become clear. We cannot responsibly guarantee an improvement if we do not know the starting point. For the guarantee, RapidCents reviews up to three years of historical processing and chargeback information before processing begins. That becomes the baseline.

Suppose a merchant historically processes 1,000,000 transactions, and 7,000 become chargebacks. Its historical chargeback incidence is therefore measurable.

If the merchant’s sales double after joining RapidCents, simply comparing the raw number of chargebacks would be misleading. That is why the evaluation needs to consider rates, transaction volumes, transaction values, channels and comparable periods, not just raw counts.

The exact baseline, measurement period, qualification requirements and remedy are documented in the merchant’s written guarantee. That makes the promise objective.

17

Qualification Matters

Not every merchant will automatically qualify. To be considered for the RapidCents Chargeback Reduction Guarantee, the merchant must provide sufficient historical information before beginning processing. That normally includes:

• Up to 36 months of previous merchant processing statements, where available
• Historical chargeback notifications and reports
• Chargeback reason codes
• Historical chargeback counts and amounts
• Relevant transaction-volume information

RapidCents must also be able to establish a reliable baseline, and the merchant must implement the agreed fraud, payment, customer-service, fulfilment and chargeback-prevention controls.

If a merchant changes its entire business model after joining RapidCents, begins selling completely different products, changes countries, materially changes average transaction size, disables agreed security controls or does not provide accurate historical information, the comparison may no longer be valid. A meaningful guarantee requires meaningful measurement.

18

Our Results Are Why We Are Willing to Put the Promise in Writing

RapidCents did not arrive at this position because of a theoretical model. Our internal reviews of merchants migrated to RapidCents have shown lower chargeback activity compared with their previous processing environments, and some merchants have experienced measured periods with zero chargebacks.

That does not mean RapidCents promises every merchant will reach zero. It means we have seen what happens when fraud prevention, transaction intelligence, operational improvements and chargeback workflows are treated as one system instead of disconnected products.

Where before-and-after results are used publicly, they should always be based on verified merchant records and disclosed in a way that protects merchant confidentiality. And this is precisely why our guarantee uses each qualifying merchant’s own documented history as the benchmark.

You do not have to compare yourself to an anonymous industry average. We compare RapidCents against what was happening to your business before RapidCents.

19

The Guarantee Creates Accountability for Us Too

Payment processors frequently tell merchants: “Our fraud prevention is advanced.” But what does advanced mean? More rules? More dashboards? Another third-party API? Another score between 1 and 100?

Technology is useful only when it produces a business outcome. That is why we prefer a measurable promise: give us the historical data. Let us understand your chargebacks. Let us configure the appropriate controls. Process with us. Then measure the result.

If we are going to say RapidCents’ technology is better, we should be willing to measure it.

20

One Important Distinction

The RapidCents Chargeback Reduction Guarantee is not chargeback insurance. It is not a promise that every transaction is legitimate. It is not a promise that every dispute will be won. It does not transfer all chargeback liability from the merchant to RapidCents. And it is not a promise that a qualified merchant will have zero chargebacks.

RapidCents’ merchant agreement correctly recognizes that an individual chargeback is ultimately governed by card-network rules and issuing-bank decisions.

The guarantee is about something we can objectively measure: reducing the merchant’s chargeback incidence from its verified historical baseline through better technology, better intelligence and better processes.

21

This Is What Owning the Payment Infrastructure Makes Possible

This is also another example of why RapidCents believes payment companies should control more of their technology.

Fraud prevention should not be an isolated API. Chargebacks should not be a spreadsheet. Payment authorization should not exist separately from fraud intelligence. Fraud outcomes should inform future risk decisions. Dispute outcomes should inform prevention. Device intelligence should complement transaction intelligence. 3-D Secure should complement behavioural analysis. Human review should complement AI. And every transaction should make the system better at understanding what normal and abnormal behaviour look like.

That is the infrastructure we are building. Prevent earlier. Detect faster. Learn continuously. Preserve evidence. Fight smarter. Measure the outcome.

And when a qualified merchant gives us the historical information needed to establish the benchmark, we are prepared to put our confidence behind the technology: RapidCents guarantees a lower chargeback rate for qualified merchants.

Not because chargebacks magically disappear. Because we understand why they happen, and we built an entire payment infrastructure designed to reduce them.

RapidCents. One intelligent payment infrastructure. Every channel. Every transaction. One platform. More than a payment. A business partner.

— Mani Rahnama, Founder, RapidCents