Quick Wins in the First 90 Days — Optimized Payments
Quick Wins in the First 90 Days
Free guide · 5 Optimization Levers · Immediate ROI
Optimized Payments · Playbook

Quick Wins in the First 90 Days

A practical playbook for payments, finance, and operations leaders who want to capture economic value before committing to transformation. Five levers. Immediate impact. No new infrastructure required.

5 Optimization Levers 0–90 Day Timeline Enterprise & Mid-Market
Quick Wins in the First 90 Days — Optimized Payments

Five Levers. One 90-Day Window.

01
Payments Rarely Feel Broken
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02
Capture Before You Transform
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01
Lever 1 · Interchange Qualification
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02
Lever 2 · Tokenization Coverage
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03
Lever 3 · Authorization & Retry
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04
Lever 4 · Routing Inconsistencies
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05
Lever 5 · Chargeback Recovery
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→
90-Day Diagnostic & Action Plan
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→
Key Takeaways & Next Steps
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Payments Rarely Feel Broken

In most payments environments, nothing looks broken. Approvals look stable. Fee structures look "normal." Monthly reports arrive on schedule. Nothing feels particularly urgent. That assumption is the single most expensive habit merchants make.

Payments don't fail loudly — they leak quietly. A few basis points here. A handful of misqualified transactions there. Tokenization that's "on," but only on the channels someone remembered to enable. Routing logic that was optimized two years ago and chargebacks that get worked but never analyzed.

Payments don't fail dramatically, they drift. Drift, multiplied by volume, is where real savings are.

The Hidden Reality

In nearly every enterprise environment, four things are simultaneously true:

  • Transactions are being misqualified — missing data fields, incorrect MCC mappings, and settlement timing gaps
  • Routing isn't consistently optimized — default logic that hasn't been revisited in years
  • Token coverage is incomplete — "on" in some channels, missing in others, almost never measured
  • Recoverable revenue is slipping — disputes worked operationally, never analyzed economically
Why this happens: Authorization, settlement, and fee data live in separate systems. Without a unified view, overpayment looks normal. Each vendor has a partial view, shaped by its own commercial interests.
$187.2B
U.S. merchant card processing fees in 2024 — a record, up 8.7% YoY
70–85%
Interchange as share of total card processing cost for large merchants
$1–2.5M
Recovery potential per $1B in card volume from a 10–25 bps qualification fix

Capture Before You Transform

Most payments transformation programs fail not because the strategy is wrong, but because the sequencing is wrong. Here's the typical pattern: leadership decides payments need to be "modernized." An RFP gets launched, vendors are evaluated, and eventually a new processor, gateway, or orchestration layer is selected. What follows is often months of implementation work, internal bandwidth strain, and competing technical priorities. In the meantime, the inefficiencies continue compounding quietly in the background.

The irony is that many businesses begin searching for new infrastructure before fully understanding how much value can still be unlocked from their existing systems.

The merchants who win don't start with transformation. They start with capture.

Capture is the discipline of finding and recovering the value that's already available in your current environment — before you commit a dollar of capex, renegotiate a contract, or replace a single piece of infrastructure. It's the work that funds the rest of the program. It proves to the CFO that payments deserve continued investment and earns the political capital you need to do the bigger things later.

Capture IsCapture Is Not
Recovering value from existing systemsA full platform migration
Low operational lift, high ROIA multi-year roadmap
Achievable in 0–90 daysDependent on new vendors
Evidence-based and measurableTheoretical or speculative
A foundation for future transformationA replacement for strategy

Goal, Outcome, and Timeline

The goal of Phase 1 is simple: identify and capture immediate, low-effort savings — not theoretical savings, and not savings contingent on a new platform. Savings you can book against the next quarter's P&L.

The outcome is two-part: immediate economic lift — the basis points you stop leaking starting next month — and executive momentum — the credibility that lets you sequence into deeper optimization with the organization's full backing.

The timeline is 0–90 days. Most clients see initial impact within the first 30.

WindowThemeMilestones
Days 1–30DiagnoseMap current state, identify leakage points, quantify opportunity size
Days 31–60ImplementDeploy fixes across highest-impact levers, validate with data
Days 61–90MeasureTrack recovery, document ROI, build case for Phase 2

Building a Long-Term Plan: The Three Phases

Phase 1 quick wins are just the beginning. Sustainable payment optimization follows a three-phase arc — each phase building the foundation for the next.

Phase 1 — Quick Wins (0–90 days)
Goal: Identify and capture immediate, low-effort savings
Focus Areas:
  • Interchange qualification issues
  • Routing inconsistencies
  • Tokenization gaps
  • Chargeback recovery misses
Visible savings + executive momentum
Phase 2 — Sustain the Savings (3–9 months)
Goal: Prevent drift and make optimization repeatable
Focus Areas:
  • Standardized reporting & metrics
  • Ongoing monitoring and alerts
  • Clear ownership and workflows
  • Cross-functional visibility (Finance, Payments, Treasury)
Savings stop leaking back over time
Phase 3 — Scale & Optimize Strategically (9–24 months)
Goal: Turn payments into a long-term advantage
Focus Areas:
  • Automation and advanced analytics
  • Vendor and network strategy
  • Scenario modeling & forecasting
  • Proactive optimization, not reactive fixes
Payments become a strategic input, not an afterthought
Lever 01
Interchange Qualification Fixes

Interchange typically represents 70–85% of total card processing cost for large merchants. The difference between qualifying at a target rate and getting downgraded isn't a rounding error — it's the single largest line item your payments organization can influence. And it's the line item your processor reports are least equipped to help you manage.

What's Leaking

Leak SourceWhat's Happening
Missing Level II/III data fieldsB2B and commercial card transactions that lack required data fields automatically qualify at higher non-qualified rates.
Incorrect MCC mappingAn MCC assigned at implementation may no longer reflect your actual product mix — and the wrong code can mean the wrong rate tier.
Settlement timing gapsTransactions settled outside the authorized window get automatically downgraded, regardless of how well everything else was structured.
Indicator hygiene issues on CNP transactionsMismatched indicators on recurring billing, installments, and retry flows create qualification problems that compound over time.

Why It Gets Missed

Processor reports show total fees, not qualification leakage. There's no line on a typical statement that says "this transaction should have qualified for a lower rate but didn't." To see that, you must compare what each transaction qualified for against what it should have qualified for — which requires unifying authorization, settlement, and fee data: three datasets that almost always live in separate systems.

What to Do in the First 90 Days

ActionHow to Execute
Unify your dataGet authorization, settlement, and fee data in the same place. Without this, none of the rest is possible.
Run a qualification auditFor your highest-volume rate categories, compare actual qualifications against expected qualifications. Flag every gap.
Validate your MCCsReview every MCC assignment against your current product mix. Corrections here are often the fastest path to recapturing basis points.
Check your indicator hygieneEspecially on retries, recurring billing, installments, and B2B flows.
Close the timing gapsAudit settlement windows for every rate category that matters to you.

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Lever 02
Tokenization Coverage

Most teams believe tokenization is on. Few measure whether it's fully optimized. Almost no one can tell you their token coverage rate by channel, geography, card brand, and retry flow.

Of all the levers in this playbook, tokenization is the one most likely to be on a leadership team's radar — and most likely to be misunderstood. When fully optimized, network tokenization improves authorization rates, reduces processing costs, and improves fraud performance. Visa reports a 4.6% lift in CNP authorization rates for tokenized transactions versus PAN, and a 30% reduction in fraud online. Mastercard data shows a 2.1% authorization-rate lift on average. For a merchant doing $10M monthly in card volume, even a 3% approval lift recovers approximately $300K each month.

That's the promise. The reality, in most enterprise environments, is that tokenization is partially deployed, inconsistently configured, and almost never measured.

+4.6%
CNP authorization lift — tokenized vs. PAN (Visa data)
−30%
Reduction in online fraud for tokenized transactions (Visa)
+2.1%
Average authorization rate lift on Mastercard tokenized transactions
Most teams believe tokenization is on. Few measure whether it's fully optimized. Almost no one can tell you their token coverage rate by channel, geography, card brand, and retry flow.

Where the Gaps Live

Gap TypeWhat's Happening
Channel inconsistenciesFully enabled on e-commerce, only partially on mobile, in-app, or call-center flows.
Geographic differencesInternational transactions often run through a different acquirer with a different token integration.
Card brand variance"Tokenization is on" usually means Visa and Mastercard. Amex and Discover often go unaddressed.
Retry flow exclusionOriginal authorizations are tokenized. Retry attempts often fall back to PAN — losing the credential-update benefit.

What to Do in the First 90 Days

ActionHow to Execute
Measure your token coverage rateBy channel, geography, card brand, and transaction type (original vs. retry vs. account-updater).
Identify the worst-performing sliceThere's almost always one segment where coverage is materially lower. Start there.
Audit retry flows specificallyIf you have any recurring or retry behavior, this is where the highest concentration of recoverable revenue typically lives.
Validate token typeNetwork tokens carry credential-update benefits. Processor-issued tokens may not. Confirm what you have.
Lever 03
Authorization & Retry Optimization

Industry research shows that 20–40% of all subscription churn is involuntary — caused by failed payments, not by customers choosing to leave. Subscription companies lose, on average, around 10% of top-line revenue annually to involuntary churn.

Generic retry logic is the silent tax on subscription revenue. The fix isn't more retries — it's smarter ones. Optimized strategies recover 45–70% of soft declines.

What's Leaking

Leak SourceWhat's Happening
Soft-decline recovery is mistunedA soft decline is recoverable, but only if you retry at the right time. Most teams retry on a static schedule that ignores when the customer has funds available.
Hard declines are being retriedAccount closed, fraud, and do-not-honor responses shouldn't be retried with the same credential. Doing so spikes decline rates and hurts your reputation with the issuer.
Issuer behavior treated as monolithicDifferent issuers respond differently to retry timing, network token presence, and transaction amount. A one-size strategy leaves real money on the table.
Account-updater calls missing or untimedMost merchants pay for the service. Many don't call it on the right transactions, or don't use the refreshed credentials on subsequent retries.

Why It Gets Missed

Authorization optimization sits in an ownership gap. Product owns the customer experience. Finance owns the fees. The processor owns the routing. Nobody owns the in-between layer where soft-decline recovery and issuer-specific tuning live.

Failed transactions are classified as "churn" rather than "declines" once they exit the retry window. The loss appears in the customer success dashboard, not the payments P&L — and the team responsible for fixing it isn't the one being measured on it.

What to Do in the First 90 Days

ActionHow to Execute
Pull your decline data, segmentedBy reason code, by issuer, by retry attempt number. You can't tune what you can't see.
Stop retrying hard declinesAudit do-not-honor and account-closed responses and exclude them from standard retry flows.
Tune soft-decline cadence by issuerInsufficient-funds responses recover at very different rates depending on issuer geography and pay-cycle behavior.
Validate account-updater integrationConfirm it's enabled, called at the right points, and that refreshed credentials are used on subsequent retries.
Connect declines to revenueBuild the dashboard that translates decline rate into revenue impact. Until that translation happens, the conversation stays abstract.
In Practice

Major Magazine Publisher — Recurring Payment Recovery

A major publisher with over $100M in annual subscription revenue was losing recoverable payments every month — not because customers wanted to cancel, but because their retry processes had never been properly audited. Optimized Payments reviewed the client's fulfillment-level retry logic, identified critical gaps in how failed and terminally declined transactions were being handled, and worked directly with the fulfillment company to implement an optimized retry policy tailored to the publisher's subscriber base.

Up to $20,000 recovered per month from previously failed transactions, with sustained efficiency gains across all recurring payment processes.

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Lever 04
Routing Inconsistencies

In most environments, routing logic was set during implementation and is making decisions based on assumptions that were true two or three years ago — and aren't true anymore. Network economics shift. Processor performance shifts. Issuer behavior shifts. Default logic that was right at go-live is almost certainly wrong now.

Durbin Amendment note: Under Regulation II, large issuers must enable at least two unaffiliated networks on every debit card, with interchange capped at 21¢ + 0.05% + 1¢ per transaction. For nearly every debit transaction you have at least two pricing options — and most merchants are leaving the choice to defaults that haven't been audited.

Why It Gets Missed

Routing optimization requires three things most merchants don't have in one place: real-time BIN-level performance data, current network and processor economics, and the analytical framework to compare them.

This is especially acute on debit. Under the Durbin Amendment's Regulation II, large issuers must enable at least two unaffiliated networks on every debit card — which means for nearly every debit transaction, you have at least two pricing options. Most merchants are leaving that choice to defaults that haven't been audited.

What to Do in the First 90 Days

ActionHow to Execute
Audit your current routing rulesDocument what they are, when they were last updated, and what assumptions they're built on.
Build BIN-level performance visibilityApproval rates, cost, decline reasons — all at the BIN level.
Review your debit strategyIf you have meaningful debit volume, run a least-cost analysis against current network economics.
Establish a routing review cadenceQuarterly at minimum. Monthly on the highest-volume routes.
Lever 05
Chargeback Recovery

Chargebacks are usually treated as an operational nuisance. That framing is the leakage. Chargebacks aren't operational — they're economic. The gap between treating them one way versus the other is usually one of the larger recovery opportunities in Phase 1.

Merchants win an average of 56.6% of non-fraud chargebacks, but that success rate drops to just 36.5% when disputes are coded as fraud-related. At the same time, friendly fraud now accounts for an estimated 50–70% of all chargebacks, meaning a large share of disputes stem from legitimate purchases being challenged after the fact. When merchants treat friendly fraud and true criminal fraud as the same problem, they often apply the wrong response — and that's where recoverable revenue gets lost.

56.6%
Median win rate on non-fraud chargebacks
36.5%
Median win rate when coded as fraud-related
50–70%
Of all chargebacks are friendly fraud — legitimate purchases challenged after the fact
Chargebacks worked operationally protect the present. Chargebacks worked economically improve the future.

What to Do in the First 90 Days

ActionHow to Execute
Segment disputes by reason codeVolume, win rate, and dollar value — broken out by reason code. This single analysis reframes the entire conversation.
Audit evidence completenessFor your top reason codes, document what's being submitted. Test whether adding specific elements moves the win rate.
Stop fighting the unwinnableIf a reason code has a structurally low win rate, that analyst time is more valuable redirected toward prevention or higher-winnability disputes.
Connect chargebacks to fraudShared visibility between the dispute team and the fraud team is non-negotiable.
Score your vendorsWin rate by reason code, time-to-respond, evidence quality. Build the scorecard.
In Practice

AutoNation — Centralized Chargeback Management

AutoNation, America's largest automotive retailer with over 350 locations, had a chargeback problem they didn't know they had. Responsibility was decentralized — each store handled its own disputes — resulting in stores responding to only about 30% of the chargebacks they received. No single location's exposure looked alarming, but Optimized Payments' analysis of the aggregated data told a very different story.

The fix was centralization: chargeback handling moved from hundreds of individual stores to a small, dedicated team operating across the entire organization.

Centralization saved $200K+ annually from reduced chargebacks — plus an additional $1M in interchange savings from a Level 2/3 data fix addressed in the same engagement.

Your 90-Day Diagnostic & Action Plan

If you can answer all five of these questions in real time, your payments environment is in better shape than most. If you can't answer one or more, that is the diagnosis — and the starting point for Phase 1.

  1. Do we know where interchange leakage exists in our environment?
  2. Can we measure token coverage across channels, geographies, and retry flows?
  3. Do we see authorization and decline performance at the issuer / BIN level?
  4. Is retry logic optimized by issuer behavior?
  5. Are chargebacks analyzed economically — or only operationally?
If you can't answer these five questions in real time: there is leakage to capture. You don't need a transformation to create meaningful impact. You need 90 focused days and the right five levers.

Your 90-Day Action Plan

The sequence below is how Phase 1 runs in practice. The cadence is intentionally aggressive — it only works if it moves at the speed of decisions, not the speed of committees. Adapt the timing to your environment; the sequence matters more than the exact dates.

WindowThemeOutcomes & Milestones
Days 1–30 Visibility Unify authorization, settlement, and fee data into a single view. Document current routing logic, tokenization configuration, and chargeback workflow. Pull six months of historical decline and dispute data segmented by reason code, issuer, and BIN.
Days 15–45 Quick Wins Run the qualification audit (Lever 1). Correct the highest-volume MCC, indicator, and timing errors. Audit retry logic for hard-decline exclusion and account-updater integration (Lever 3). Ship the first batch of corrections so the impact starts hitting the next cycle.
Days 30–60 Coverage & Routing Measure token coverage by channel, geography, card brand, and retry flow (Lever 2). Audit current routing rules and BIN-level performance (Lever 4). For merchants with significant debit volume, run a least-cost analysis against current network economics.
Days 45–75 Recovery Economics Segment chargeback volume, win rate, and dollar value by reason code (Lever 5). Audit evidence completeness for top reason codes. Decide what to fight and what to stop fighting. Begin issuer-level retry tuning.
Days 60–90 Institutionalize Stand up dashboards: token coverage, BIN-level performance, retry recovery, chargeback economics. Build the operating cadence: quarterly routing review, monthly coverage review, weekly dispute review. Document recovered economics for executive briefing.
On resourcing: Phase 1 can be run with existing internal team members given the right data access and analytical framework. The constraint is almost never headcount — it's visibility. Most organizations need a unified data layer before the work can begin.

Phase 1 Builds Proof. Proof Builds Permission.

By focusing on controllable factors and implementing strategic payment practices, you can lower processing costs and recover revenue without committing to a multi-year program. Phase 1 builds proof. Proof builds permission. Permission is what every meaningful payments initiative runs on.

01

Interchange Qualification

Audit data fields, fix MCC codes, and correct settlement timing to eliminate downgrades and recover basis points at scale.

02

Tokenization Coverage

Close gaps across channels, geographies, and card brands to lift authorization rates and reduce fraud exposure.

03

Authorization & Retry

Segment declines by reason code and build issuer-specific retry strategies to recover involuntary churn.

04

Routing Inconsistencies

Re-map routing logic to reflect current network economics and enable least-cost routing on every transaction.

05

Chargeback Recovery

Segment disputes by reason code and focus representment efforts on winnable friendly fraud cases.

→

The 90-Day Plan

Follow the five-window action plan from Visibility through Institutionalize to capture and document real economic impact.

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