How to Improve Your SaaS Authorization Rates
Improving authorization rates in SaaS primarily involves increasing the percentage of legitimate transactions that issuing banks process successfully. This process includes steps such as sending cleaner transaction data, planning the timing of payment reattempts, maintaining current card credentials, and selecting appropriate acquirers.
In online settings, authorization rates can sometimes be lower than those seen with in-person transactions, offering an opportunity to explore improvements that positively impact overall results. For subscription-based businesses, maintaining stable payment approval rates supports regular service from one billing period to the next.
This guide reviews how to identify factors contributing to payment declines, categorizes common types of declines, and details several methods aimed at supporting acceptance rates within established fraud control measures.
Authorization rate, sometimes called aceitação ou approval rate, serves as a practical metric connecting payment activity to company revenue.
The steps below discuss ways to establish a measurement baseline, analyze sources of declined payments, refine data quality, manage retrials, keep card information accurate, and evaluate payment routing choices.
Visão geral do conceito
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Categoria: Payment Optimization
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Usado Por: SaaS Vendors, Subscription Providers
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Propósito Principal: Payment Authorization, Payment Gateway Error/Decline Code, Payment Cascading System, Gestão de Inadimplência
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Estágio de Crescimento: Escalabilidade, Expansão Global
Measure your current authorization rate and set a baseline
Start by defining what your authorizing rate is and see where any differences occur. Relying on overall averages can obscure the variations between countries, card types, issuers, and the distinction between renewals and new sales, making detailed tracking important.
Estabelecendo uma baseline will help you establish the initial criteria for all following evaluations.
Consider these questions as you are framing the baseline:
- What is the average approval rate, which can be calculated by determining the ratio of approved transactions against the total number of submitted transactions?
- Are there any differences in the results of first-time purchases or renewals? The first-time purchase and renewal may have specific reasons for discrepancies and, therefore, provide chances to improve performance.
- Do particular countries, currencies, or card networks produce consistently lower authorization rates?
- What about the comparison of approval rates of local and foreign purchases?
In practice, perfect authorization rates are rarely achieved at scale, so it is more effective to look for and address areas that can be refined over time. Modest increases in authorization rates, such as a change of 0.5%, may correspond with noticeable revenue differences depending on the business context.
Segment your authorization data from the beginning by issuer and decline reason for more precise analysis. Viewing results in segments can assist in identifying specific causes behind fluctuations.
It’s common for online authorization rates to be about 10% lower than in-person transactions because issuing banks use different criteria for card-not-present payments. Some of this difference is expected due to transaction types, but a portion of it can be managed through process adjustments.
Free Authorization Rate Optimization Checklist
Diagnose declines and lift authorization rates with this actionable optimization checklist.
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Baseline measurement
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Decline-code diagnosis
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Dados da transação
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Dunning actions by decline type
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e muito mais!
Diagnose your declines by reading the decline codes
After you determine your baseline, review the reasons for any payment attempts that were not authorized. Each declined transaction is assigned a decline code, which helps clarify the reason by placing it in a specific category. Examining these codes allows you to respond to payment outcomes in a methodical way.
Organizing decline codes by category makes it easier to outline practical steps.
Most declines fall into three groups:
| Decline category | What it usually means | First response |
| Fundos insuficientes | The balance does not cover the amount requested | Try processing at another time or offer a different payment method |
| Outdated or incorrect card details | Information needs to be updated or verified | Ask for the customer to check details or use an automated update tool |
| Suspicion of fraud | The issuer flagged risk on the transaction | Check the transaction information and retry when possible |
One factor to consider: in many declines, a decline code such as “05: Do not honor” can appear for a variety of reasons, providing a useful prompt to review issuer policies and tailor your approach for better results. This general code covers different factors, including insufficient card balance, fraud patterns, or the issuer’s decline coding practices. Since this code may refer to several possibilities, it can be helpful to adjust actions based on the issuer and the specific code received.
Self-check before moving on: Can you name your top three decline reasons by volume? If not, the next steps will involve some trial and error to find the best approach. Pull the decline-code breakdown first.
For a more detailed breakdown, see the guide on como reduzir transações recusadas.
Free Authorization Rate Optimization Checklist
Diagnose declines and lift authorization rates with this actionable optimization checklist.
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Baseline measurement
-
Decline-code diagnosis
-
Dados da transação
-
Dunning actions by decline type
-
e muito mais!
Send richer, cleaner transaction data
After identifying the common factors contributing to declines, making routine adjustments to transaction data is a standard way to address observed patterns. The level of detail in each payment request gives issuing banks information to review the transaction, so precisão e consistência are generally useful for their evaluation.
Submitting accurate data allows transactions to proceed according to normal processing criteria.
Possible improvements incluem:
- Adding billing information that is commonly reviewed by the issuing bank.
- Including ZIP or postal codes and CVC, which reflect standard checks in different regions.
- Using clear and consistent formatting for key fields on the checkout form, such as consistent postal codes, code casing and spacing to standardize data entry.
- Creating an environment where digital wallets like Apple Pay and Google Pay are accepted since these have a two-factor authentication built in from the start and are accepted better.
- Using 3D Secure authentication only when asked for by the issuing company or when needed.
In regions like the EU, PSD2 and similar regulations encourage secure payment practices by requiring multi-factor authentication in many cases, helping ensure that compliant payments move forward smoothly while non-conforming transactions are automatically declined to safeguard the payment process. Meeting SCA correctly is both a compliance and an authorization issue.
More data helps, but authenticate selectively. Forcing a challenge on every payment protects against some fraud while suppressing conversion – request it only where the bank or regulation demands.
Free Authorization Rate Optimization Checklist
Diagnose declines and lift authorization rates with this actionable optimization checklist.
-
Baseline measurement
-
Decline-code diagnosis
-
Dados da transação
-
Dunning actions by decline type
-
e muito mais!
Retry failed payments on an intelligent cadence
Some declines may be resolved through a second scheduled attempte adjusting retry timing and frequency may affect overall approval rates and processing expenses, while staying consistent with card network requirements.
Reviewing decline categories can help determine the best approach for subsequent payment attempts.
Build the da lógica de retentativa around the decline type:
- When the issue involves insufficient funds, coordinating the retries with pay cycles, e.g., the start or middle of the month in the US, might increase the chance for success in making the payment.
- For a subscription business, replace fixed-interval dunning (“wait 7 days, retry”) with logic that adapts to issuer behavior and card-update signals.
- One practical option is to follow the best practices by using card networks’ recommendation of limiting the number of retries within 15 days to 4 to 6.
- Retry payments can be accompanied by emails automatically sent to the customers prompting them to update their payment information.
- Establishing more varied payment scheduling options, like monthly, quarterly, or yearly, can serve different budgeting needs for customers.
PayPro Global uses previous transaction insights and customer account details to inform when to retry failed payments, following a process that determines timing on a per-case basis instead of a fixed schedule. This forms part of a broader system that incorporates standard reminder tools and intelligent routing selections.
Regularly managing renewals and retries may help address involuntary churn in subscription settings, contributing to ongoing customer participation – for some subscription models, uncontrolled failures. Churn rates of 15–20% sometimes occur in situations where failed payments are processed, providing an opportunity to review payment processes.
Free Authorization Rate Optimization Checklist
Diagnose declines and lift authorization rates with this actionable optimization checklist.
-
Baseline measurement
-
Decline-code diagnosis
-
Dados da transação
-
Dunning actions by decline type
-
e muito mais!
Keep card credentials current with updater and network tokens
Serviços como card account updater e network tokens are designed to keep payment credentials current with a customer’s account information. When available, these tools are intended to support regular authorization outcomes.
Measures to manage up-to-date payment data incluem:
- Using a card account updater which operates with the networks to automatically update card information.
- Setting up network tokens, which substitute a card’s raw PAN number (PAN) with a card merchant pair token that maintains its function even with changing card data.
- Determining service regional availability to ensure adequate coverage. In the United States, major networks have an extension for automatic card data updates, while the rest of the world varies.
Esses são tangible revenues. One large seller measured a 1.72% authorization uplift from a card account updater, which translated into tens of millions in recovered revenue. Network tokens further contribute to this, as they use the most up-to-date credential in all transactions.
Both services function in the background and may be part of a stable process for payment operations.
Free Authorization Rate Optimization Checklist
Diagnose declines and lift authorization rates with this actionable optimization checklist.
-
Baseline measurement
-
Decline-code diagnosis
-
Dados da transação
-
Dunning actions by decline type
-
e muito mais!
Route payments through the acquirer most likely to approve
The way you direct transactions can play a role in approval rates.
For domestic payments, using acquirers in the customer’s region is associated with maintainable authorization levels and processing expenses. For companies managing payments from different countries, applying regional routing can address variation in bank approval approaches.
Abordagem roteamento deliberately:
- Use locally optimized acquiring in regions where your customers are located so transactions are processed as domestic rather than foreign.
- When the initial processor provides a soft decline, transactions can be routed to a secondary processor with stronger banking partners in that region instead of failing it outright.
- Choose routes aligned with the currency, location, and payment method relevant to each transaction; this may support routine fee management and help reduce false declines.
- Monitor issuer outages and shift volume to ensure transaction flows can use alternative connections when a processor or data center goes down.
Picture a €50 monthly renewal from a customer in Germany. On the first attempt, a US-based processor’s risk engine assigns a soft “Do not honor” code as part of routine recognition of the German issuing bank, though the charge remains legitimate and secure. Instead of failing the payment, a cascading system instantly re-routes it to a processor with strong European banking partners, which approves it. Across a full portfolio, recovering declines like this can shift authorization rates by 5–10%, which maps directly to revenue.
Conclusão
Steps taken to increase the authorization success rate include analyzing payments that fail to authorize, identifying possible reasons from the code of decline, and deploying estratégias that can increase the authorization rate, such as improving transaction information, updating card credentials, changing the logic of retry, or optimizing payment routing.
O uso de card account updaters e network tokens helps solve a specific problem of decline, while retry logic and payment routing help in solving declines associated with an issuer or international transaction.
In many cases, a small improvement in the authorization rate is evident through the increase in revenue and reduction in churn rate.
Perguntas frequentes
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The authorization rate refers to the proportion of total card transactions approved by the cardholder’s issuing bank. In online sales, tracking this rate helps businesses see how frequently payments go through and what effect this has on revenue.
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Online and in-person authorization rates can both be important benchmarks for evaluation. When payments are made online, issuing banks may apply additional verification steps that contribute to variation across different approval channels. Other factors involved can include the accuracy of transaction data or payment routing options.
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There is no single benchmark for authorization rates that applies to all businesses. Factors such as transaction location and card type are considered when evaluating results. Tracking rates by segment provides insight into regular trends and overall performance.
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The “Do not honor” decline code, known also as code 05, is a general message used by some banks and does not specify the underlying reason for a decline. This type of code is included in a range of payment scenarios, and referring to both the issuer and the specific code may be informative for understanding transaction results.
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In some cases, repeating the failed transaction after addressing any problems may result in the success of the transaction. The card networks set parameters for the retries as well as specify the time frames when such actions should be performed.
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Card account updater updates your account details when you have issued or changed the card, whereas network tokens can be considered safe replacements for card numbers and are useful in different scenarios. They help to update the payment data and often play an important role in transaction processing.
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Payment routing, which may involve different processing partners or a switch to another processor after a decline, can shape approval rates and transaction costs.
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A Merchant of Record manages areas such as retries, local routing, and compliance under one operational system. This model is used by organizations with customers in multiple locations.
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