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Research & Methodology
The Academic Basis

The DealFax Framework:
Evidence and methodology.

The six focus areas in the DealFax operational readiness framework are not proprietary inventions. They are drawn from established academic research on M&A transaction dynamics, practitioner literature from the IBBA and AM&AA, and publicly available datasets from the Bureau of Labor Statistics, U.S. Census Bureau, and OSHA. This page documents the evidence basis for each area of assessment.

Scoring rules as of October 2026 · Nine public datasets
The Framework
Design Principles

Three data layers. One structured picture.

A DealFax assessment draws from three independent sources. Each layer contributes something the other two cannot provide alone. The goal is a scored picture that is grounded in documented evidence and external context - not solely in what the owner reports about their own business.

The three data layers
1
Industry benchmarking
Bureau of Labor Statistics wage, turnover and survival data, Census establishment counts, and category-level Google reputation averages provide the context that makes a business's own numbers meaningful. A 14% annual turnover rate means something different for a specialty trade contractor in a tight labor market than for a professional services firm. The relevant benchmark is pulled for the specific NAICS code and geography - not a generic average.
2
Public records
OSHA inspection records, state contractor licensing board records and state corporation commission filings for the specific business, in whichever state it operates. This layer shows whether the license and entity picture matches what the owner represents. Automated pulls of these records, records the owner uploads, and automated checks of them come with the 2027 launch. Live today: public benchmarks, and evidence checks on public reviews and one uploaded revenue-by-customer export that the advisor approves.
3
Advisor intake, written rules
The advisor enters the owner's answers through a guided intake covering team structure, client relationships, documentation, systems and succession depth. Each answer is scored against a written rule drawn from published research and industry standards. The same answers return the same score, and an unanswered item never scores as clean.
How the benchmarking works

When a business is engaged, DealFax identifies its NAICS code, firm size class (by employee count and revenue band), and primary geographic market. These three parameters are used to pull the relevant cut from each dataset - so a 28-person HVAC contractor in a Northern Virginia county gets benchmarks specific to specialty trade contractors of that size in that labor market, not a national HVAC industry average. This specificity is the core of what makes DealFax benchmarks actionable rather than generic. The full data stack - nine public datasets in three groups and what each provides - is documented in the Data Stack section below →

The scoring scale

1.0–1.9 · Red
Not Ready
Significant gaps in multiple areas. Operational risks likely to affect deal structure and viability.
2.0–2.9 · Orange
Conditionally Ready
A deal is possible but operational deficiencies typically result in earnouts, holdbacks, or extended consulting requirements.
3.0–3.9 · Yellow
Transaction-Ready
Operational profile supports the transaction. Reduced basis for discounts or conditions attached to the deal.
4.0–5.0 · Green
Premium-Ready
Institutional-quality operations. Strong position for competitive buyer interest and favorable deal terms.
Six Focus Areas
Evidence Basis

Why these six areas.
What the research says.

The six focus areas reflect operational dimensions that are documented in M&A practitioner literature and academic research as factors that affect how transactions are structured and priced in owner-operated lower-middle market businesses. Each area also maps to at least one publicly available dataset that provides an independent benchmark.

Area 01
Owner Dependency
Owner dependency - the concentration of relationships, authority, and institutional knowledge in a single person - is identified as a primary valuation risk factor across IBBA Market Pulse data and academic M&A literature. Graebner (2009) documents how seller-dependent knowledge transfer shapes acquisition outcomes and introduces trust asymmetries that affect deal structure.
Graebner, Academy of Management Journal, 52(3), 2009; IBBA Market Pulse, Q4 2023
Area 02
Revenue Quality
Customer concentration risk is a standard diligence item in lower-middle market M&A. The SBA's credit policy guidelines treat customer concentration above 25% as a material risk factor for loan approval - the same logic applies in transaction diligence. IBBA Market Pulse data tracks earnout frequency against revenue concentration findings.
SBA Standard Operating Procedure 50-10-6; IBBA Market Pulse, 2023–2024
Area 03
Operational Systems
DePamphilis (2022) identifies operational documentation and systems infrastructure as a core component of operational due diligence in acquisitions. Verifiable, accessible records are a standard expectation in any structured diligence process. The absence of cloud-based accounting or field management systems is a documented source of pricing adjustments in service business transactions.
DePamphilis, Mergers, Acquisitions, and Other Restructuring Activities, 10th ed., 2022
Area 04
Workforce Stability
BLS Job Openings and Labor Turnover Survey (JOLTS) provides sector-level turnover benchmarks by NAICS code. Comparison against industry averages identifies whether a business's attrition is within normal range or represents an elevated retention risk - one that commonly results in retention bonuses or workforce conditions attached to the transaction.
BLS JOLTS, NAICS 238 (Specialty Trade Contractors), 2023
Area 05
Customer Health
Online reputation data (Google ratings, review volume, velocity) is increasingly used as an independent proxy for customer loyalty and demand trajectory. BizBuySell Insight Reports and practitioner literature from AM&AA document the growing inclusion of reputation metrics in lower-middle market operational diligence.
BizBuySell Insight Report, 2024; AM&AA practitioner guidelines
Area 06
Succession & Mgmt.
IBBA Market Pulse data consistently identifies the absence of a management layer below the owner as a leading cause of extended seller consulting requirements and earnout imposition. The Exit Planning Institute's State of Owner Readiness (2023) documents that the majority of owners have no written succession or exit plan at the time they begin considering a sale.
Exit Planning Institute, 2023 State of Owner Readiness; IBBA Market Pulse, Q4 2023

The full scoring table

The six focus areas are scored on the 30 dimensions below: 7, 6, 5, 5, 4 and 3, with 58, 55, 50, 47, 45 and 45 indicators, 300 in all. Each dimension carries a weight within its focus area and scores Red (1.0 to 1.9), Orange (2.0 to 2.9), Yellow (3.0 to 3.9) or Green (4.0 to 5.0) against written anchors. Each Y answer on an indicator marks a risk condition present; higher Y counts reduce the dimension score. A Red score in a critical dimension caps the focus area rating at Orange. The table lists every dimension, its weight, its input type and the primary evidence source. The full written rules are available on request. Source: DealFax Scoring Methodology, DealFax LLC (2026).

DimensionInput TypePrimary Evidence Source
Area 01 · Owner Dependency
Decision authority (15%, critical)Assessor-observedDocument review, assessor observation
Customer relationships (15%)Assessor-observedCRM data, client interview proxies
Vendor relationships (15%)Assessor-observedDocument review, assessor observation
Absence tolerance (15%, critical)Assessor-observedSOP review, assessor observation
Business development (15%)CalculatedRevenue analysis, assessor observation
Institutional knowledge (15%)Assessor-observedAssessor observation, document review
Contract authority (10%)Document-verifiedDocument review, assessor observation
Area 02 · Revenue Quality
Customer concentration (20%, critical)Threshold-appliedRevenue records, assessor analysis
Revenue type mix (20%, critical)Document-verifiedRevenue records
Contract documentation (15%)Document-verifiedDocument review
Revenue growth vs. market (15%)BenchmarkedCensus CBP, BLS QCEW
Pricing consistency (15%)Document-verifiedInvoice review, assessor observation
Revenue seasonality (15%)BenchmarkedRevenue records, assessor analysis
Area 03 · Operational Systems
Standard operating procedure documentation (25%, critical)Document-verifiedDocument review
Accounting systems (20%)Assessor-observedDocument review, system verification
Field and operations management (20%)Assessor-observedSystem access verification
Records and documentation (20%)Assessor-observedAssessor observation
Technology stack (15%)Document-verifiedAccounting system review
Area 04 · Workforce Stability
Turnover rate (25%, critical)BenchmarkedBLS JOLTS (NAICS-level)
Key person risk (25%, critical)Assessor-observedAssessor observation, org review
Average tenure (20%)Document-verifiedPayroll data, assessor interview
Compensation documentation (15%)BenchmarkedBLS OEWS / QCEW, document review
Retention agreements (15%)Assessor-observedAssessor observation, document review
Area 05 · Customer Health
Google rating vs. market (30%, critical)BenchmarkedGoogle Places; Census CBP market area
Review volume and velocity (25%)BenchmarkedGoogle Places, BBB
Customer retention (25%)BenchmarkedCRM data, assessor interview
Relationship ownership (20%)Assessor-observedAssessor interview, CRM data
Area 06 · Succession & Mgmt.
Management depth (40%, critical)Assessor-observedOrg chart, assessor interview
Transition planning (35%)Document-verifiedDocument review
Knowledge documentation (25%)Document-verifiedDocument review
Benchmarked - scored against a public dataset for your NAICS, size class, and geography Threshold-applied - scored against established industry thresholds (e.g. SBA concentration limits, IBBA earnout triggers) Document-verified - score is capped by evidence produced Assessor-observed - judgment bounded by defined anchor criteria
The Data Stack
Nine Public Datasets

Every public dataset DealFax pulls.
What it provides. What it informs.

Every DealFax report draws from nine public datasets in three groups: Bureau of Labor Statistics data, federal and state regulators, and commercial and public platforms. Each is pulled for the owner's sector, address and metro area. Not national averages. Not generic sector data. The benchmark that applies to a 28-person heating and air conditioning contractor in Northern Virginia is the one for that trade, that size and that market.

Group 1 - Bureau of Labor Statistics (3 datasets)

Public wage, turnover and survival data. These datasets provide the context that makes a business's own numbers meaningful: how long comparable firms last, what each role is paid in the metro area, and how the sector hires and loses people.

Dataset & coverageSourceWhat DealFax extracts
BLS Business Employment Dynamics (BED)U.S. Bureau of Labor StatisticsSurvival rates by establishment age; how this firm's longevity compares.
BLS Occupational Employment & Wage Statistics (OEWS)U.S. Bureau of Labor StatisticsWages by role and metro; pay gaps that put staff at risk of leaving.
BLS JOLTS & Quarterly Census of Employment & Wages (QCEW)U.S. Bureau of Labor StatisticsSector turnover and local job growth; a check on the owner's hiring story.

Group 2 - Federal & State Regulators (3 sources)

Records about the specific business: workplace safety history, license standing and entity filings. These are the public records a buyer finds in diligence. Automated pulls of these records, records the owner uploads, and automated checks of them come with the 2027 launch.

Dataset & coverageSourceWhat DealFax extracts
OSHA Inspection Records APIU.S. Department of Labor, Occupational Safety and Health AdministrationCitation history at the address; open safety issues a buyer inherits.
State Contractor Licensing Board (for example, Virginia DPOR)The licensing board for the state where the business operatesLicense status, expiry and holder; a license that may not transfer at sale.
State Corporation Commission (for example, Virginia SCC)The corporation commission or secretary of state for the state of formationEntity standing, formation date and liens; liabilities that could stall closing.

Group 3 - Commercial & Public Platforms (3 sources)

Reputation and market context. Reputation data is a public, buyer-facing signal about the health of the customer base; Census counts show how crowded the market is.

Dataset & coverageSourceWhat DealFax extracts
Google Places APIGoogleStar rating, review count and yearly trend; a reputation rising or fading.
Better Business Bureau (BBB)Better Business BureauAccreditation, rating and complaints; what a buyer finds in diligence.
U.S. Census Bureau (CBP & ABS)U.S. Census Bureau, County Business Patterns and Annual Business SurveyEstablishment counts and owner succession rates; how crowded the market is.
Seller Readiness
The TRUST Index

Measuring seller readiness independently of business readiness.

The TRUST Index is an assessor-observed evaluation of the seller's own readiness to drive a successful transition - independent of the business's operational score. It addresses a gap in standard operational due diligence: a business can be operationally ready while the seller is not, and vice versa.

The TRUST Index is not self-reported. Scores are assigned by the assessor based on observed behavior, document evidence, and interview responses. Three design principles prevent gaming. First, each dimension must be assessor-observed - the owner cannot self-report a high score. Second, documentary evidence is required to reach the upper score levels - without it, the score is capped at a defined ceiling regardless of what the owner says. Third, the most critical dimensions are cross-referenced against independently verifiable sources, so discrepancies between what the owner represents and what the record shows are surfaced during the assessment.

Dimension (weight)What It MeasuresEvidence Required for High Score
Transparency & Responsiveness (25%, critical)Seller's cooperation with the assessment process - document provision, response completeness, and accuracy of information providedTimely document delivery; no material omissions identified in cross-reference against public records
Knowledge Transfer Readiness (25%, critical)Extent to which institutional knowledge has been documented or delegated prior to the assessmentSOPs, org chart, documented client introduction plan; evidence of delegation in place
Commitment to Exit (20%)Clarity and conviction of the seller's exit timeline and readiness to execute a transition within a defined windowDocumented exit timeline; no evidence of ambivalence or undisclosed contingencies that would affect timing
Relationship Introduction Willingness (15%)Whether key client and vendor relationships have been introduced to a successor or documented for transferEvidence of relationship introduction; documented contacts independent of owner's personal network
Post-Close Transition Support (15%)Seller's demonstrated willingness and practical ability to support post-close operations during the transition periodDocumented availability commitment, defined consulting scope, timeline clarity, no conflicts with other obligations

Five dimensions, 50 binary indicators. Each scores Red (1.0 to 1.9), Orange (2.0 to 2.9), Yellow (3.0 to 3.9) or Green (4.0 to 5.0). A Red score in a critical dimension caps the TRUST Index rating at Orange. Owner readiness supports the business score; it is not the focus. Source: DealFax Scoring Methodology, DealFax LLC (2026).

Citations
Full Reference List

Sources cited across
the DealFax framework.

Academic Sources
1
Akerlof, G. A. (1970). The market for "lemons": Quality uncertainty and the market mechanism. Quarterly Journal of Economics, 84(3), 488–500.
2
Cheng, M., Jaggi, J., & Young, S. (2022). Customer concentration of targets in mergers and acquisitions. Journal of Business Finance & Accounting, 49(7-8), 1314-1355.
3
DePamphilis, D. M. (2022). Mergers, acquisitions, and other restructuring activities: An integrated approach to process, tools, cases, and solutions (10th ed.). Academic Press / Elsevier.
4
Dhaliwal, D., Judd, J. S., Serfling, M., & Shaikh, S. (2016). Customer concentration risk and the cost of equity capital. Journal of Accounting and Economics, 61(1), 23–48.
5
Graebner, M. E. (2009). Caveat venditor: Trust asymmetries in acquisitions of entrepreneurial firms. Academy of Management Journal, 52(3), 435–472. https://doi.org/10.5465/amj.2009.41330413
6
Graebner, M. E., Heimeriks, K. H., Huy, Q. N., & Vaara, E. (2017). The process of postmerger integration: A review and agenda for future research. Academy of Management Annals, 11(1), 1–32.
7
Hambrick, D. C., & Cannella, A. A. (1993). Relative standing: A framework for understanding departures of acquired executives. Academy of Management Journal, 36(4), 733–762.
8
Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. Oxford University Press.
9
Palmatier, R. W., Dant, R. P., Grewal, D., & Evans, K. R. (2006). Factors influencing the effectiveness of relationship marketing: A meta-analysis. Journal of Marketing, 70(4), 136–153.
10
Perry, J. S., & Herd, T. J. (2004). Reducing M&A risk through improved due diligence. Strategy & Leadership, 32(2), 12–19.
11
Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of Management Review, 23(3), 393–404.
12
Spence, M. (1973). Job market signaling. Quarterly Journal of Economics, 87(3), 355–374.
13
Morrissey, W. J., & Pittaway, L. (2006). Buyer-supplier relationships in small firms: The use of social factors to manage relationships. International Small Business Journal, 24(3), 272-298.
14
Mullins, R., Chase, K. S., & Friend, S. B. (2024). Buyer-seller uncertainty: A systematic review and future research directions. The Journal of Personal Selling & Sales Management, 44(1), 29-49.
15
Renneboog, L., & Vansteenkiste, C. (2019). Failure and success in mergers and acquisitions. Journal of Corporate Finance, 58, 650-699.
16
Shankar, R. K., Rasmussen, E., Mathisen, M. T., & Widding, Ø. (2023). Overcoming buyer-seller tensions in the pre-acquisition process. Entrepreneurship Theory and Practice, 47(5), 1731-1759.
Industry Sources
17
BizBuySell. (2024). Insight report: Small business transactions. BizBuySell Research. bizbuysell.com/research
18
Exit Planning Institute. (2023). 2023 State of owner readiness survey. exit-planning-institute.org
19
IBBA & M&A Source. (2024–2025). Market Pulse quarterly survey. Pepperdine Private Capital Markets Project. ibba.org/market-pulse
20
Morgan & Westfield. (2025). The M&A deal process. morganandwestfield.com
21
Project Equity. (2024). The silver tsunami: Small business closure crisis. project-equity.org
22
U.S. Small Business Administration. (2023). Standard Operating Procedure 50-10-6: Lender and development company loan programs. SBA Office of Capital Access.
23
WashU Olin-Brookings Commission. (2024). The tidal wave of transitions on Main Street. Washington University in St. Louis / Brookings Institution.
24
U.S. Bureau of Labor Statistics. (2024). Quarterly census of employment and wages. U.S. Department of Labor.
25
U.S. Census Bureau. (2024). County business patterns. U.S. Department of Commerce.
26
U.S. Small Business Administration. (2024). Frequently asked questions about small business. SBA Office of Advocacy.

Request the written scoring rules

The written scoring rules for the six focus areas and the five owner readiness factors are available to advisors, academic researchers and practitioners on request.

Request the Scoring Rules