Case Study #1

Reduced processing costs by 23% for a $50K/month business

Full breakdown of how hidden fees, pricing drift, and transaction costs were identified and optimized.

Snapshot

Monthly Volume
$52,000
Avg Ticket
$18
Before Rate
3.42%
After Rate
2.61%
Monthly Savings
$1,200

The situation

This business was processing approximately $50K per month with a blended effective rate above industry benchmarks. Pricing had increased over time, and the owner had limited visibility into how fees were being applied across markup, per-transaction costs, and monthly charges.

Fee Breakdown Highlights

Markup
Above Target
Transaction Fees
Elevated
Monthly Charges
Redundant

What we found

Analysis revealed the business was paying above expected benchmarks across multiple fee categories.

Interchange markup above competitive range
Elevated per-transaction fees relative to ticket size
Unnecessary monthly account charges

What we changed

We restructured pricing to better align with the business’s volume and transaction profile.

23% lower cost
~$1,200 monthly savings
No operational disruption
*All improvements were implemented without operational changes or disruption.*
Case Study #2

Reduced effective rate by 18% for a high-ticket $85K/month business

How pricing structure—not just rates—was optimized to significantly reduce costs.

Snapshot

Monthly Volume
$85,000
Avg Ticket
$220
Before Rate
2.98%
After Rate
2.44%
Monthly Savings
$460

The situation

This business processed approximately $85K/month with a high average ticket size. While overall rates appeared competitive, the pricing structure was not optimized for their transaction profile.

Fee Breakdown Highlights

Markup
Above optimal range
Transaction Fees
Costly segments
Monthly Charges
Misaligned

What we found

Analysis revealed the business was paying above expected benchmarks across multiple fee categories.

Interchange categories skewed toward higher-cost segments
Markup not aligned with high-ticket transaction profile
Pricing structure optimized for volume, not ticket size

What we changed

The business reduced its effective rate from 2.98% to 2.44%, saving approximately $460 per month while maintaining the same payment flow and operations.

Adjusted pricing model for high-ticket efficiency
Reduced percentage-based markup
Optimized fee structure for transaction profile
18% lower cost
~$460 monthly savings
No operational disruption
*All improvements were implemented without operational changes or disruption.*
Case Study #3

Reduced processing costs by 27% for a high-volume $120K/month retail business

How transaction-level optimization significantly reduced costs for a low-ticket, high-volume merchant.

Snapshot

Monthly Volume
$120,000
Avg Ticket
$9
Before Rate
4.10%
After Rate
2.98%
Monthly Savings
$1,350

The situation

This business processed approximately $120K/month with a low average ticket size. While overall volume was strong, transaction-level fees were significantly impacting the effective rate.

Fee Breakdown Highlights

Transaction fees
Primary cost driver
Markup
Above optimal range
Structure
Misaligned

What we found

Analysis revealed the business was paying above expected benchmarks across multiple fee categories.

Per-transaction fees disproportionately impacting total cost
Pricing structure not optimized for low-ticket transactions
Elevated effective rate driven by volume of small transactions

What we changed

The business reduced its effective rate from 4.10% to 2.98%, saving approximately $1,350 per month without changing operations or payment flow.

27% lower cost
~$1350 monthly savings
No operational disruption
*All improvements were implemented without operational changes or disruption.*

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