Payment analytics transforms transaction data into business intelligence. Rather than simply understanding the payments that came into a business yesterday, it allows businesses to understand why payments failed, which customers use which payment methods, which vendors are increasing fees, why there are an increasing number of refunds issued to a business, and how many disputes are being filed with merchants.
The value of payment analytics is not just in the analytics dashboard. The value lies in the decisions a business makes using the information provided by analytics software. Teams such as finance, operations, sales, support and business leadership can all use this information to make better decisions.
Why Businesses Need Stronger Payment Analytics
Payments are too important to manage based on basic deposit reports. According to McKinsey’s latest report in 2025, global payments revenue grew at an average rate of 7% from 2019 to 2024. Such growth within the payments industry demonstrates its critical role in commerce and business performance.
Businesses need greater visibility into key payment metrics. Metrics such as approval rates, refunds, ACH returns, chargebacks, and settlement are essential to monitor. Payment analytics software can drastically improve how merchants respond to these metrics.
For those who accept Visa cards online and over the phone, payment analytics are even more important. VAMP, Visa’s program for monitoring fraud and disputes, has replaced the separate programs for each function that previously existed within Visa. The VAMP ratio compares the number of transactions that were fraud or disputes (fraud and non-fraud) to the total number of settled Visa transactions. Merchants need better visibility into these metrics because they directly impact the company’s stability.
Who Should Use Payment Analytics
This payment analytics guide is for businesses, including:
- ecommerce companies
- retail and restaurant companies
- B2B companies
- subscription and membership companies
- healthcare, legal, and professional services companies
- SaaS and digital companies
- high-risk companies
- finance departments
- company operators looking to compare payment options
- any company looking to enhance its business payment reporting
The more complex a company’s payments are (multiple types of payments, multiple locations, high volume), the more important it is for that company to have a payment analytics solution. Basic business payment reporting tools may provide companies with the necessary numbers to gauge their business’s payment activity, but analytics go a step further to show businesses what those numbers mean.
Payment Analytics Tools and Reporting Options Compared
Payment analytics can come from a processor dashboard, gateway reports, business intelligence tools, accounting software, ERP systems, or custom data pipelines. The right setup depends on how complex the business is and which decisions the team needs to make.
| Analytics Option | Best For | Main Strength | Main Tradeoff |
|---|---|---|---|
| Processor Dashboard | Small and mid-sized merchants | Quick access to sales, refunds, disputes and deposits | May be limited across multiple systems |
| Gateway Reporting | Ecommerce, MOTO and omnichannel merchants | Shows payment attempts, declines, refunds and transaction status | Needs merchant account and accounting context |
| Accounting or ERP Reporting | B2B and finance-led businesses | Connects payments to invoices, deposits and reconciliation | Requires clean data mapping |
| BI or Data Warehouse Integration | Larger or multi-channel businesses | Combines payment data with CRM, product and customer data | Requires more technical setup |
| Chargeback and Fraud Analytics | High-risk and ecommerce merchants | Tracks disputes, fraud trends and prevention workflows | Works best when connected to payment source data |
| Payment Nerds Reporting Strategy | Businesses that need processor, gateway and account-health visibility | Helps connect payment data to operating decisions, fraud controls and account stability | More consultative than a self-serve dashboard |
For many businesses, the best solution is layered. A processor dashboard may be enough early on, but growing merchants often need payment data connected to accounting, ecommerce, CRM, ERP, fraud and chargeback workflows.
Best Payment Analytics Providers and Tools Compared
The best provider depends on whether the business needs processor reporting, gateway analytics, AR automation, subscription insights, chargeback data, or full business intelligence.
| Provider or Tool | Best Fit | Key Strength | Main Tradeoff |
|---|---|---|---|
| Payment Nerds | Businesses that need payment analytics tied to merchant account services, gateway strategy and account stability | Strong fit for payment data insights, custom reporting, processor-fit review, VAMP-aware monitoring, chargeback prevention and reconciliation strategy | More consultative than a standalone dashboard |
| Stripe Analytics, Sigma and Data Pipeline | Online-first businesses and technical teams using Stripe | Strong dashboards, custom SQL analysis, payment acceptance analytics and data exports | Best fit for businesses already using Stripe |
| NMI Reporting | Merchants and ISVs using gateway-driven payment workflows | Gateway-level transaction, settlement and omnichannel payment reporting | Needs acquiring and business-system context |
| Versapay | B2B companies focused on AR, invoice payments and ERP workflows | Strong invoice-to-cash and ERP-connected payment reporting | More focused on receivables than general merchant analytics |
| Chargebacks911 | Merchants with elevated dispute volume | Chargeback analytics, representment support and dispute-management workflows | More specialized than general payment reporting |
| Accounting or BI Tools | Businesses that want payments connected to broader financial reporting | Combines payment data with business, product and customer data | Requires clean integrations and data standards |
These are fit-based comparisons, not universal rankings. A B2B distributor, an ecommerce brand, a SaaS platform, a professional service firm, and a high-risk merchant may all need different analytics setups.
Understanding VAMP for Payment Analytics
For any business that processes Visa card-not-present transactions, VAMP should be part of your payment analytics. VAMP stands for Visa’s fraud and dispute monitoring program. The VAMP ratio measures the number of fraud and non-fraud disputes processed relative to the total number of Visa transactions.
Payment analytics can assist in monitoring VAMP metrics by helping determine whether fraud or disputes are caused by fraud issues or customer experience problems. If the fraud data from TC40 reports to a specific page or product, it may be a fraud problem. If the dispute data from TC15 reports to a specific plan or product, it may be a customer experience problem.
VAMP also includes enumeration attacks. Enumeration attacks occur when bots automate card testing on a checkout page. The enumeration attack ratio measures the number of suspected enumeration attacks versus the total number of transactions processed on that page by Visa. Visa uses VAAI (Visa Account Attack Intelligence) as a score to assess enumeration attacks. Merchants can monitor payment analytics for failed authorization transactions, suspicious BINs, IPs, and rule violations to detect enumeration attack activity.
How to Use Payment Data Insights
Start with the business question. For example, does the finance team want to know why deposits do not match sales? Does the ecommerce team want to know why conversion dropped? Does the support team want to know why there are more refund requests? Does the risk team want to know whether VAMP is increasing?
Then connect the payment data to the right decision. For example:
- Use approval data to make decisions about payment routing, fraud rules and the checkout experience
- Use decline data to make decisions about payment retry logic
- Use refund data to make decisions about products, services and support
- Use chargeback data to make decisions about return policies, payment descriptors and return evidence
- Use ACH return data to make decisions about ACH account validation
- Use settlement data to make decisions about cash flow
- Use payment method data to make decisions about the checkout experience and pricing
- Use VAMP data to make decisions about fraud rules, chargeback rules and payment enumeration
Review the right metrics regularly. Each team should review the same metrics on a regular basis – for example, weekly or monthly – and take action if the trend in a metric changes.
Payment Analytics and Reporting Costs Explained
Payment analytics software and services cost money, depending on the provider and the depth of the report and data sources involved. Generally, reporting software is included with payment processors. More in-depth analytics software can involve payment gateways, BI software, ERP software, chargeback and fraud software, and in-house reporting software.
Yet a better question to ask is what does the business cost due to poor payment visibility? Not having access to payment analytics can mean missing critical issues such as failed payments, chargebacks, refunds, changes in processor fees, ACH issues, and VAMP issues that could cost more than the payment reporting software itself.
For merchants at high risk for card-not-present transactions, payment analytics software can also serve as account protection. Software like Verifi, Ethoca, 3DS, fraud protection software, and chargeback software may cost more than merchants would like to spend, but it will protect the merchant’s account from frequent chargebacks.
Common Business Payment Analytics Mistakes to Avoid
The biggest mistake is confusing analytics with reporting. Reports tell the business what happened. Analytics tell them why it happened and what should happen next. A sales total is important, but it does not explain why approval rates might have dropped or why there might be an increase in refunds and chargebacks.
Another mistake is focusing on payment data in silos. A merchant might look at the report from the processing company, the payment gateway, the accounting software, the CRM and support tickets to get a complete view of the issues with sales and payments. The best payment data insights come from connecting data across systems.
Ignoring the VAMP can be another avoidable mistake. Visa has established above-standard and excessive categories for sales and payments that result in fees for the merchants. It is better for a merchant to be on top of these categories before the processing company issues a warning.
Key Payment Analytics Metrics Businesses Should Track
Payment Authorization and Decline Rates
Authorization rates indicate how many transactions were approved versus those that declined from the transaction. The number of declines in authorization can impact the revenues that a company makes. Declines can be categorized by the issuer, card type, the country where the card was processed, the payment method, the gateway used, and the type of customer who made the transaction. Declines can occur due to fraud, issuer issues, expired cards, checkout issues, authentication issues, and payment gateway issues.
Payment Method Performance
Payment method analytics can help a business understand how customers pay for the products and services that it offers. Payments can occur via credit or debit cards, ACH, eCheck, digital wallets, invoices, payment links, contactless payments, or local payments methods. A business can use this data to decide which payments to add to their website or application and which customers to offer different payment methods to. For example, a business may choose to offer ACH payments to customers with higher invoices amounts.
Refunds, Chargebacks, and VAMP Signals
For businesses that take Visa cards, it is important to track both the number of refunds and chargebacks that are processed. High rates of either of these can indicate issues with the products or services that are being provided by the company. For Visa transactions, there are additional metrics to track called VAMP signals. The TC40 signal for Visa represents the number of fraud reports that were made on transactions, and the TC15 signal represents the number of chargebacks or disputes that were made on transactions for those products. Both of these can be important to track to understand potential issues with products before they are reported to the payment processor.
ACH Returns and Failed Payment Monitoring
ACH payment analytics allow a business to understand the reasons for failed bank payments and how customers pay for those products or services. This data is especially important for B2B companies and those with high ticket sales items such as property managers, lenders, subscription services, and those who offer items for higher prices than their credit or debit card limits allow. This data can help a business to understand the return codes of the failed bank payments, the reasons for unauthorized returns, administrative returns, returned NSF checks and which customers have these issues with paying for the products. ACH payments can be very convenient for customers but require the same tracking as credit and debit card payments.
Settlement, Deposits, and Payment Reconciliation
Understanding when payments are deposited into business bank accounts is important to the financial health of a company. The number of sales does not necessarily mean the same as the amount of money that gets deposited into the business account. Factors that can impact the amount of money deposited include holds, returns, chargebacks, refunds, ACH returns, gateway fees and processor fees. Analytics tools that track authorizations, captures, batches, bank deposits, fees and accounting applications can provide a complete picture of the company’s payments. This information can help a business to more efficiently close its books and prepare financial reports, and to automate its bookkeeping processes.
Customer, Product, and Payment Channel Insights
Analytics for payments can be significantly enhanced by connecting that data to data about the customers, the products, and the channels from which those customers purchase those products. For example, a business could use this data to understand which products result in the most chargebacks, which advertising campaigns result in the most chargebacks, which customers prefer ACH payments, or from which sales channels the most payments are authorized. That information can be very helpful to departments outside of finance. For instance, the marketing department could use this information to create marketing and sales campaigns that minimize the number of payments that are returned, charged or refunded by customers. The customer service department could use these insights to train agents to resolve payment issues more efficiently.
FAQs About Payment Analytics
Q: What is payment analytics?
A: Payment analytics is the process of turning transaction, approval, decline, refund, dispute, settlement and customer payment data into business insights.
Q: What are payment data insights?
A: Payment data insights are practical findings from payment activity, such as why payments fail, which methods customers prefer, where fees are rising, or which products create the most disputes.
Q: What should business payment reporting include?
A: Sales, payment method reports, authorization rates, decline rates and reasons, refunds, chargebacks, fees, deposits, ACH returns, and settlement reports should all be part of regular payment reporting for a business.
Q: How can payment analytics improve a company’s cash flow?
A: By providing businesses with insights regarding when their payments will settle, which invoices have been paid, which transactions have failed, and how many refunds will impact their deposits and how many fees will impact their cash flow.
Q: What is VAMP and how does it relate to payment analytics?
A: VAMP is a program run by Visa that monitors instances of fraud and disputes on credit and debit cards. The VAMP ratio divides instances of fraud- and non-fraud-related disputes by the total number of settled Visa transactions. Businesses need payment analytics that can monitor fraud and payment-related disputes.
Q: What is an enumeration attack?
A: An enumeration attack uses bots to test the different card details on a checkout page. Fraudsters use enumeration attacks to test stolen customer payment information on a website and determine whether it is still valid. Businesses can use payment analytics to monitor these actions.
Q: How can Payment Nerds help businesses with payment analytics?
A: Payment Nerds can assist with evaluating payment data, payment reporting systems, payment processors, fraud activity, VAMP ratios and merchant account stability.
Conclusion
Payment analytics enables businesses to make better decisions by providing insights into their payments. Payment insights can help increase payment approvals, reduce declined payments, improve cash flow, reduce payment disputes, and simplify the reconciliation process for business owners.
If you are in need of better business payment reporting or if you would like to connect payment analytics to your merchant account, Payment Nerds can help. We do not simply want to show you your payments. We want to show you what your payments reveal and how you can use that information to run your business better.
Sources
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- Stripe. “Acceptance Analytics.” Accessed May 2026.
- Stripe. “How to Surface Business Insights With Stripe.” Accessed May 2026.
- Stripe. “Payment Processing Best Practices: A Guide.” Accessed May 2026.
- McKinsey & Company. “The 2025 Global Payments Report.” Accessed May 2026.
- Nacha. “ACH Network Volume and Value Statistics.” Accessed May 2026.
- NMI. “Full Commerce Enablement.” Accessed May 2026.
- Versapay. “ERP Payment Integrations.” Accessed May 2026.
- Chargebacks911. “Chargeback Management.” Accessed May 2026.
- Visa. “Visa Acquirer Monitoring Program Fact Sheet.” Accessed May 2026.
- PCI Security Standards Council. “Merchant Resources.” Accessed May 2026.
