Payment Processing Fee Reduction

Processing fees typically represent 40-60% of a payment fintech's total cost base, yet most companies have limited visibility into where these costs come from or how to reduce them. The fee structure is complex - interchange fees vary by card type and BIN, scheme fees differ by geography, gateway fees stack on top, and cross-border transactions add 1-3% in FX markup. Without detailed fee analysis, fintechs miss significant cost reduction opportunities: routing high-value transactions to lower-cost PSPs, optimizing card type acceptance, or using fee data as negotiation leverage.

This solution breaks down your complete processing cost structure, identifies specific cost reduction opportunities, and provides negotiation ammunition for PSP contracts.

WHAT DOES IT SOLVE?

Processing Fee Breakdown & Analysis

• Answers: Where is every dollar of processing cost going, and how does it vary by transaction type and geography?

• What it contains: Itemized processing costs (interchange, scheme fees, assessments, gateway/PSP fees, FX markups); cost breakdown by card type, BIN range, geography, transaction size; domestic vs cross-border comparison; FX markup analysis vs mid-market rates; blended rate calculations; fee component trends over time

Cost Benchmarking Analysis

• Answers: Are we overpaying compared to industry benchmarks, and where are the gaps?

• What it contains: Processing cost comparison vs industry benchmarks by transaction type; identification of cost outliers; competitive rate analysis for similar businesses; PSP fee comparison across providers

Card Type & BIN Optimization

• Answers: How do costs vary by card type and issuer, and where are the expensive transactions?

• What it contains: Cost differences between card types (credit vs debit, commercial vs consumer, card networks); BIN-level cost patterns; issuer-specific fee analysis; card mix impact on overall costs

Fee Trend & Variance Analysis

• Answers: How are our processing costs trending, and what's driving changes over time?

• What it contains: Processing cost trends by fee component; volume vs cost correlation; identification of cost increases or reductions; variance analysis against budgets; seasonal or volume-based patterns

CORE MODULES

Descriptive & Diagnostic

Interchange Qualification Optimization

• Answers: How can we qualify for lower interchange categories and reduce interchange costs?

• What it contains: Interchange qualification analysis; Level 2/3 data implementation ROI; AVS/CVV optimization recommendations; specific configuration changes to improve qualification rates; expected cost savings per optimization

Multi-PSP Cost Optimization

• Answers: How should we route transactions across multiple PSPs to minimize processing costs?

• What it contains: Financial modeling of routing across PSPs for cost optimization; blended rate calculations under different routing scenarios; cost vs performance trade-off analysis; break-even analysis for adding PSPs

Volume Commitment Decision Support

• Answers: When will we hit volume tiers with current PSPs, and should we commit to volume for better rates?

• What it contains: Volume tier analysis and forecasting; modeling of pricing at different volume levels; volume commitment scenario analysis; growth planning for cost optimization; expected savings from tier progression

ADVANCED MODULES

Predictive & Prescriptive

DELIVERABLES

Built in PowerBI, Tableau, or Looker & adhering to client's brand book

Dedicated tab per analysis plus executive summary overview

AI-generated insights and recommended actions per analysis

SQL queries built in client's database system with controlled access

Python scripts for statistical and ML models (if applicable)

Added to client's GitHub repository, or delivered as standalone package

Technical Guide: Data sources, logic, formulas & maintenance procedures

Analysis Handbook: Metric definitions, interpretation, use cases & action framework

Dashboard

Code Base

Documentation

Knowledge Transfer

Live & Recorded walkthrough of dashboard functionality and insights

Q&A session covering methodology, use cases, and recommendations

30-day post-delivery support for questions and adjustments

MAIN REQUIREMENTS

• Transaction and operational data must be accessible in a relational database

• BI Platform Subscription with data base gateway for dashboard automation.

• Relevant APIs & ETL workflows should be functional and consistent.

Data Infrastructure*

• Transaction & Processing Data - with processing fees itemized, card type, BIN, geography, and timestamps

• PSP Contract & Fee Data - Current PSP contracts, rate cards, interchange schedules, and fee structures

• Card Network Data - Card type classifications, BIN ranges, issuer information, and network fee schedules

• Volume & Revenue Data - Transaction volumes, revenue attribution, currency breakdown, and growth trends

Data Sets

*Data infrastructure set up is out of scope. It can be provided as a separate engagement.