Optimize M&A Fees with Precision Benchmarking

Automatically identify ideal precedent engagements with the highest defensible fees. FeeLogic's optimization algorithm leverages proprietary deal intelligence—M&A process types, existing relationships, deal dynamics—to find statistically robust comparables specific to your transaction.







Analyzing $37+ billion in M&A fees across 4,200+ engagements, including proprietary deal intelligence that enables precision benchmarking beyond what standard databases can deliver.
M&A Investment Banking Fee Metrics and Analysis

Why Leading Firms Choose FeeLogic

Unmatched Market Intelligence

Proprietary data captures nuances that drive variations in fees that are only available in FeeLogic: M&A process types, banking relationship histories, and other deal dynamics.

Maximize Defensible Fees

FeeLogic's optimization algorithm identifies the highest fee precedents that remain defensible for your specific transaction by analyzing proprietary deal intelligence.

Win More Fee Discussions

Navigate fee discussions with confidence. Our platform delivers clear, defensible market positioning that makes premium fee conversations straightforward and successful.

Investment Banking Fee Detailed Data Example

Built Specifically for M&A Fee Analysis Workflows

Traditional benchmarking limits fee potential. FeeLogic's platform transforms the fee analysis process:

  • Purpose-built optimization algorithm balances maximizing fees with defensibility—analyzing deal clusters for statistical robustness, transaction-specific relevance, and presentation quality (including rounded numbers
  • Intelligent peer group analysis reveals premium fee opportunities and competitive positioning insights for client discussions and internal market intelligence
  • Automated transaction nuance detection surfaces engagement details typically buried in merger proxies—saving analysts hours of manual research while enabling comprehensive analysis for every fee run, not just the largest deals

Proprietary Intelligence That Drives Fee Precision

Traditional databases miss the contextual factors that actually explain fee variations. FeeLogic's proprietary data fields reveal why fees differ—enabling precise segmentation of truly comparable transactions:

  • Fee-driving intelligence: Access the transaction and engagement details that actually determine fee levels—process types, existing lending relationships, prior advisory history, and engagement length. Move beyond basic deal size and sector to the contextual factors that explain fee variations.
  • Deep contextual analysis: Automated summaries of each bank's role, services provided, transaction initiation, and process details—intelligence that previously required analysts to manually comb through merger proxies for hours

Access the comprehensive analysis you'd typically reserve for only your largest deals—applied to every fee run.

Investment Banking Process and Fees - Moelis
Start Optimizing M&A Fees

See how FeeLogic's proprietary intelligence and optimization algorithms can identify higher defensible fees for your transactions. Get precision benchmarking that goes beyond generic market data.

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