The Formalization of Payment Economics

Finance teams make thousands of decisions each day about how to pay suppliers. ACH or check. Wire or card. Immediate or batched.

For decades, these decisions were treated as operational. The relevant questions focused on efficiency and control: which method processes fastest, which integrates with existing systems, which reduces exceptions.

This framing made sense because payment methods were economically equivalent. A check, an ACH transfer, and a wire all generated the same return: none. The choice was administrative, so teams built administrative systems to handle it.

Then the infrastructure shifted.

Payment methods began to emerge that generate measurable financial return: virtual card programs offering rebates, dynamic discounting arrangements, commercial card networks with reward structures. These methods existed alongside traditional payment rails, creating choice where none had existed before.

The adoption pattern reveals something instructive. Even as these methods matured and became widely available, utilization remained consistently low. Data from enterprise payment operations suggests roughly 10-15% of eligible payment volume flows through yield-generating methods. The rest continues through traditional rails that generate no return.

This pattern raises a direct question: if methods exist that generate return, and if suppliers are capable of accepting them, why does most payment volume flow through methods that generate nothing?

The answer explains why Payment Economics is emerging as a formal discipline now, and why it could not have emerged earlier.

The Structure That Limited Adoption

Early implementations of yield-generating payment methods contained an economic asymmetry. They created measurable value for buyers while imposing operational costs on suppliers.

Consider virtual cards in their initial form. When a supplier received a virtual card payment, they experienced frictions that did not exist with traditional methods. Settlement took 5-7 days compared to 2-3 days for standard ACH. Reconciliation required manual processes, as card payments came through different channels than remittance information. The supplier's accounts receivable team absorbed complexity that check or ACH processes did not create.

Meanwhile, the buyer captured the financial return. The rebate flowed to the company making the payment, while the company receiving it bore the operational burden.

From a supplier's perspective, accepting a virtual card meant accepting a payment method that served their customer's financial interest while increasing their own costs. Suppliers responded rationally: research confirms that suppliers declined these methods when given the choice, citing concerns about integration complexity and interchange fees (PYMNTS, 2024).

This created a structural ceiling on adoption. Whether a buyer negotiated a 1% rebate or a 2% rebate made little difference if suppliers declined the method entirely. The constraint was not the rate of return. It was supplier acceptance of the method itself.

Finance teams attempted various approaches to increase adoption: better rebate rates, supplier enrollment programs, education campaigns. Acceptance rates remained between 10-15%. The problem was not communication or education. The underlying economics asked suppliers to absorb costs so that buyers could capture benefits. A process solution cannot fix a structural problem.

This remained the fundamental constraint until two things changed: systems evolved to make supplier behavior visible, and infrastructure shifted to create supplier-side value.

Why Supplier Acceptance Remained Invisible

Understanding why this constraint persisted requires examining how payment systems were architected.

Legacy AP systems were designed to manage workflow, not economic outcomes. They track which invoices were processed, which payments were executed, and what exceptions occurred. They perform this function well. What they do not track is which payment method was offered to each supplier, whether suppliers accepted or declined specific methods, why suppliers made those decisions, or how acceptance behavior changes over time.

This is not a reporting gap. These systems never captured the underlying transaction data because they were built when payment methods were economically neutral.

Treasury systems faced a parallel limitation. They tracked aggregate outcomes (total rebates earned, total card spend) but not payment-level economics. A Treasury dashboard might show $875,000 in annual rebates, but it cannot answer what percentage of suppliers accept cards when offered.

When no function owns a metric, optimization becomes structurally impossible. Not because people are neglecting it, but because the question has no natural home. The discipline became possible when payment platforms emerged that were architected specifically to capture payment-level economics: which methods were offered, which suppliers accepted, why suppliers declined, and how behavior changed over time.

Before this infrastructure existed, Payment Economics was conceptually sound but practically impossible. The discipline is emerging now because the measurement layer finally exists.

The Infrastructure Shift

Over the past two years, payment infrastructure underwent changes that altered the economics of method selection.

Modern payment rails began settling transactions faster. Speed has become the primary consideration in B2B payment method choice (AvidXchange, 2025). Where earlier implementations took 5-7 days to settle funds to suppliers, newer infrastructure reduced this to 1-3 days. For suppliers accustomed to 30-45 day check processing cycles, this represented a meaningful improvement in cash conversion. The payment method that had once delayed their cash now accelerated it.

API connectivity between payment networks and supplier systems automated reconciliation processes that had previously required manual intervention. Remittance detail could flow directly to accounts receivable systems, eliminating the matching work that created operational burden. Supplier-side friction became supplier-side efficiency.

Platform architecture made value distribution structurally possible in ways that legacy systems could not support. A buyer could allocate a portion of captured yield back to suppliers through accelerated settlement, relationship credits, or direct value sharing. The economics shifted from purely extractive to potentially reciprocal.

Systems emerged that made individual contributor impact visible within finance organizations. When an AP team member's decision to route a payment through a yield-generating method becomes measurable and connects to recognition and career development, behavior changes. Administrative work became work tied to financial performance.

Environmental contribution became embeddable within transaction infrastructure. Some platforms now allocate a percentage of payment value to verified climate initiatives, creating board-reportable sustainability metrics from operational decisions.

These developments happened in parallel across different parts of the payments infrastructure. Together, they created conditions where yield-generating methods could serve multiple stakeholders simultaneously. When all stakeholders benefit, acceptance shifts from concession to preference. This structural shift explains why supplier acceptance can now reach 50-60% when infrastructure previously constrained it to 10-15%.

Payment Economics works as a discipline when infrastructure exists to create positive-sum outcomes. Prior to these changes, optimizing payment method selection meant optimizing an extractive process. After these changes, it means optimizing a collaborative one.

Understanding What Drives Return

Once you recognize that payment method selection generates financial consequences, the question becomes how to measure and understand those consequences systematically.

Two factors determine total financial return. The first is the rate of return earned when yield-generating methods are used. The second is the proportion of total payment volume that actually flows through those methods.

Payment Yield = CR × SA

CR (Capital Return) represents the blended financial return rate across yield-generating payment methods: rebates from commercial and virtual card programs, value captured through dynamic discounting, benefits from early payment programs, and return from payment float optimization.

SA (Supplier Acceptance) represents the percentage of total payment volume that flows through yield-generating methods rather than traditional methods that generate no return.

The relationship between these variables reveals where financial return actually originates. Consider two companies, each processing $500M in annual supplier payments:

Metric	Company A	Company B
Capital Return (CR)	1.5%	1.2%
Supplier Acceptance (SA)	10%	60%
Payment Yield	0.15%	0.72%
Annual Return	$750,000	$3,600,000

Company B generates nearly five times more total financial return despite inferior rebate rates. The central insight of Payment Economics follows directly: Supplier Acceptance optimization produces larger absolute returns than rebate rate optimization.

CR has natural constraints. Commercial rebate rates rarely exceed 2%, giving a range of perhaps 0.5% to 2%, a spread of 1.5 percentage points. SA operates across a much wider range: current enterprise average sits around 10-15%, while infrastructure improvements have demonstrated SA reaching 60-70%, a spread of 50+ percentage points. When two variables multiply, improving the one with the wider range produces larger absolute impact.

Most finance organizations can tell you their CR. Very few can tell you their SA. This asymmetry explains why Payment Yield remains low. Companies optimize the variable they can measure while the variable that drives absolute return remains invisible.

Observing the Principle in Practice

A mid-market manufacturer processing $85M in annual supplier payments considered their payment operations fully optimized. Their AP team processed invoices efficiently. Their Treasury function had negotiated competitive rebate rates. Annual rebates captured totaled $107,000. No one questioned whether more was possible because no one had formulated the question itself.

Then someone in finance asked a different question: what percentage of total payment volume actually flows through the methods generating that return?

Extracting the answer required manual effort, as their AP system tracked invoice processing but not method-level economics. When they finally assembled the data, the answer was 9%. If 9% of volume generated $107,000, what was happening with the remaining 91%? It flowed through checks and standard ACH, methods that generated zero return.

Their Payment Yield was 0.13%. Simple arithmetic suggested $522,000 remained uncaptured.

After implementing a payment platform designed to make SA visible and optimizable, SA improved from 9% to 53% over six months. With CR held constant at 1.5%, Payment Yield rose from 0.13% to 0.74%. Annual return increased from $107,000 to $629,000.

The $522,000 improvement came from three sources. First, routing optimization: the platform revealed that a portion of suppliers could already accept yield-generating methods, but legacy routing rules directed their payments to checks or ACH instead. These suppliers required no conversation or enrollment, only corrected routing logic. Second, targeted supplier engagement: a larger portion of suppliers could accept yield-generating methods but had not done so previously, allowing targeted conversations explaining specific value: faster payment receipt, simplified reconciliation, optional value sharing. Third, employee alignment: when Payment Yield became a visible metric and individual contribution to its improvement became measurable, AP staff engaged proactively in supplier acceptance optimization rather than treating it as background activity.

The improvement required no changes to rebate rates, no contract renegotiations, and no additional headcount.

The ceiling at this company appears to be approximately 65% SA. The remaining suppliers face structural barriers: regulatory constraints, technical limitations, or strong requirements for specific settlement characteristics. But the movement from 9% to 53% demonstrates that the historical ceiling of 10-15% was artificial.

What Constrains SA Optimization

Not every supplier can or will accept yield-generating payment methods. Understanding these constraints sets realistic expectations for achievable SA improvement.

Structural barriers limit some suppliers regardless of infrastructure improvements. Government agencies often require ACH or wire transfers due to regulatory mandates. Healthcare providers operating under specific compliance frameworks may face restrictions. Utilities and regulated industries sometimes have limitations on acceptable payment methods.

Supplier leverage plays a role. Large, sophisticated suppliers with significant pricing power may insist on their preferred payment methods as a condition of doing business.

Interchange economics affect supplier willingness to accept card payments. When a supplier accepts a card, they typically pay 2-3% in interchange fees to the card network (PYMNTS, 2025). The value proposition must account for this cost. Faster settlement, automated reconciliation, and potential value sharing must deliver enough operational benefit to offset the interchange expense.

Industry-specific dynamics create variation in achievable SA. Distribution companies with diverse supplier bases may see SA reach 60-70%. Manufacturing companies with concentrated spend among a few large vendors may plateau at 40-50%. Professional services firms may achieve 70%+. The ceiling depends on supplier composition, not just infrastructure quality.

The Aggregate Opportunity

B2B non-cash transactions are growing at 11.4% CAGR through 2028 (Worldline, 2025), with U.S. companies processing approximately $35 trillion in B2B payments annually (eMarketer, 2024). Data from enterprise payment operations suggests the current average Payment Yield across this volume sits around 0.175%, producing approximately $61B in aggregate captured return.

Virtual cards will be the fastest-growing B2B payment channel over the next five years, with a projected 370% increase in transaction value (Juniper Research, 2025). Modern payment platforms demonstrate SA reaching 60-70% when suppliers receive faster settlement, reconciliation automates, and employee incentives align. Competitive rebate rates cluster around 1.5% CR at scale. If the average enterprise moved to 65% SA and 1.5% CR, Payment Yield would reach approximately 1% and aggregate return would reach approximately $350B, a $289B gap from current state.

At the individual company level:

Annual Payments	Current PY (0.175%)	Achievable PY (1%)	Annual Gap
$100M	$175K	$1M	$825K
$500M	$875K	$5M	$4.1M
$1B	$1.75M	$10M	$8.25M

The gap exists because infrastructure made SA optimization structurally impossible until recently. Companies optimized what they could measure while SA remained invisible. The emergence of measurement infrastructure changed what is structurally possible.

Where to Begin

Payment Economics does not require organizational restructuring or multi-year implementation programs to start. Three immediate actions establish the foundation.

1. Calculate your current Payment Yield. Pull total payment volume for the past 12 months from your AP system and total financial return captured (card rebates, discounting captured, float benefits) from Treasury.

Payment Yield = (Total Financial Return) ÷ (Total Payment Volume)

Then decompose into CR and SA:

• CR = (Total Financial Return) ÷ (Payment Volume Through Yield Methods)
• SA = (Payment Volume Through Yield Methods) ÷ (Total Payment Volume)
• Verify: CR × SA should equal your Payment Yield

If SA is low (under 20%) while CR is competitive (1.2% or higher), you have identified the constraint.

2. Make Supplier Acceptance visible. Pull a list of your top 100 suppliers by payment volume. For each, identify the payment method currently used, acceptance status for yield methods, and settlement timeframe. This exercise takes 2-3 hours and reveals three critical patterns: what percentage of your top suppliers currently accept yield-generating methods, how much volume goes to accepting versus declining suppliers, and which suppliers might accept yield methods if offered faster settlement or better reconciliation.

3. Assign ownership. Ask: who in your organization owns Payment Yield as a metric? If the answer is unclear, create accountability. Assign someone in Treasury, AP, or a dedicated role to own this metric, track it monthly, and identify improvement opportunities. Add Payment Yield to your monthly finance review alongside DSO, DPO, and working capital metrics.

These three actions take less than a week and require no new systems, no budget approval, no organizational change. Meaningful SA improvement typically occurs over 12-18 months as supplier relationships evolve, routing logic improves, and organizational behavior changes.

Questions Worth Asking

• Can your AP system currently tell you what percentage of suppliers accepted yield-generating methods when offered?
• Which constraint explains your current SA level: supplier inability, supplier preference, or internal routing defaults?
• What would a $2M improvement in annual Payment Yield mean for your organization's finance priorities?
• Who would own the Payment Yield metric in your organization if it were tracked today?

Building Forward

Issue 4 examines Supplier Acceptance in depth: why it drives more return than rebate rate optimization, how to measure acceptance behavior systematically, and what companies can do to improve it.

Payment Economics in Practice

AP Copilot: The AP platform built for AP teams. AP Copilot turns accounts payable into a profit center through workflow tools designed for the people actually processing payments. The platform achieves 50% virtual card acceptance, 10x the industry average, by making supplier conversion and daily payment work visible, collaborative, and rewarding. 1% of all revenue goes to planting trees. Learn more: https://apcopilot.com

About The Payment Economics Journal

The Payment Economics Journal examines how organizations measure and capture economic return from payment operations. Published weekly by Daniel Jasinski, The Payment Economist.

Payment Economics Framework

For the complete Payment Economics framework, including Payment Yield, Capital Return, Supplier Acceptance, and the Payment Portfolio Manager role, visit payment-economics.org.

Suggested Citation

Jasinski, D. (2025). The Formalization of Payment Economics: How Technology Has Created a New Financial Discipline. The Payment Economics Journal, Issue 3. Payment Economics Institute.

Authorship & Intellectual Property

© 2026 Daniel Jasinski. All rights reserved. The Payment Economics Journal, Payment Yield, Capital Return, Supplier Acceptance, Payment Portfolio Manager, Payment Economics Practitioner, Payment Efficiency Index (PEI), and Payment Cost Ratio (PCR) are original frameworks and terms introduced by Daniel Jasinski. No part of this publication may be reproduced, distributed, or transmitted in any form without prior written permission, except for brief quotations in reviews and academic citations with proper attribution.

References

AvidXchange. (2025, April). B2B Payment Trends in 2025 and Beyond. Retrieved from https://www.avidxchange.com/blog/b2b-payment-trends/

eMarketer. (2024, February). US B2B Payments Forecast 2024. Retrieved from https://www.emarketer.com/content/us-b2b-payments-forecast-2024

Juniper Research. (2025, September). B2B Payments to Hit $224 Trillion by 2030 Globally. Retrieved from https://www.juniperresearch.com/press/b2b-payments-to-hit-224-trillion-by-2030-globally-driven-by-emerging-market-expansion/

PYMNTS. (2024, June 13). Can Virtual Cards Overcome Their Achilles Heel of Supplier Acceptance? Retrieved from https://www.pymnts.com/news/b2b-payments/2024/can-virtual-cards-overcome-their-achilles-heel-of-supplier-acceptance

PYMNTS. (2025, January 9). Understanding the Supplier's Role in Driving Virtual Card Acceptance. Retrieved from https://www.pymnts.com/news/b2b-payments/2025/understanding-the-suppliers-role-in-driving-virtual-card-acceptance

PYMNTS. (2025, June 2). Getting on Board: How Supplier Enablement Is Unlocking the Benefits of Virtual Cards. Retrieved from https://www.pymnts.com/tracker_posts/getting-on-board-how-supplier-enablement-is-unlocking-the-benefits-of-virtual-cards

Worldline. (2025, September). 10 Key Payment Trends Shaping 2025. Retrieved from https://worldline.com/en-us/home/main-navigation/resources/blogs/10-key-payment-trends-shaping-the-market-in-2025-and-why-they-matter-for-software-providers