Structure, Optimize, and Defend Your M&A Fees

Gut-feel pricing and recycled engagement letters leave money on the table. FeeLogic gives advisory teams the workspace to engineer the right fee structure and terms for every mandate, backed by verified private market data.

See It In Action

M&A Investment Banking Fee Metrics and Analysis

An Institutional Approach to Fee Strategy

Engagement Fee Structuring

Model the right fee structure for any mandate. Run scenario analysis across outcomes, validate each fee component, and give your firm a consistent process from first pitch to signed engagement.

4,000+ Verified Engagements

The largest dataset of actual M&A advisory fees with private and public market data, drawn from public filings, court documents, and a contributory network of active firms. The data to prove what market actually is.

Find "Market" Rates in Minutes

Filter by the factors that actually explain fee variation and surface a defensible comp set fast. No more hunting through proxies or relying on deals that don't match your situation.

Investment Banking Fee Detailed Data Example

Engineer the Right Fee Structure for Every Mandate

Model how your fee structure holds up across outcomes, identifying where you're leaving upside uncaptured and where you're exposed if a deal doesn't close cleanly
Validate critical fee components and engagement letter terms against current market rates: retainers, success fee grids, tail periods, fairness opinion fees, and more
Give your firm a consistent process for fee structuring that works the same way whether an MD or an analyst is running the numbers

The Private Market Data That Changes the Conversation

Public filings capture a fraction of what actually gets negotiated. In the middle market, verified transaction-level fee data has never existed in one place. Industry surveys offer blended averages across unrelated deals, which isn't useful when you're optimizing pricing a specific engagement. FeeLogic's contributory network fills that gap. Your team gets the private market data it needs to defend a fee with actual market evidence.