Search fund research is the primary and secondary analysis that supports a search fund from thesis design through exit. If you're a search fund entrepreneur or associate, this is your entire fact base for deciding where to look, what to buy, and how to grow it.
What "search fund research" actually means
Search fund research covers four workstreams: (1) defining the search thesis, (2) screening and prioritizing industries, (3) evaluating specific target businesses, and (4) supporting value creation and exit planning. It's not fund administration or legal structuring. It's the intelligence layer that determines whether you pick a winner or burn two years on a bad sector.
This article is written from FieldSignal's perspective as a research-as-a-service provider and expert network used by search funds and small PE firms. We source expert consultations, customer interviews, and structured surveys, not legal documents.
Compared to traditional private equity, search fund research skews qualitative. You're investigating owner psychology, management transition risk, and local market detail. You're not running portfolio-level factor models across multiple companies. The questions are grittier, and the stakes per deal are higher.
Data references throughout draw from the Stanford Graduate School of Business 2024 Search Fund Study and the international search fund center at IESE.
What is a search fund? (and why research quality matters)
A search fund is an investment vehicle formed by one or two entrepreneurs who raise initial capital to find, acquire, and operate a single profitable small to medium sized businesses in the lower middle market. Search funds were first conceived in 1984 by Irv Grousbeck at Harvard Business School, then expanded at Stanford University and the graduate school of business in the late 1980s.
-
Over 900 search funds have been launched worldwide since 1984. The 2024 Stanford study tracks 681 in the U.S. and Canada alone.
-
Search funds reported an IRR of 35.1% and achieved a 4.5x return on investment across all funds. Exited companies deliver even stronger, around 42.9% IRR and 6.9x MOIC.
-
The median purchase price for search fund acquisitions is $14.4 million, with median EBITDA of $2.2 million and margins around 27%.
-
Search funds face concentrated risk due to single company investments. The searcher assumes the CEO role to manage day-to-day operations after acquisition. If you pick wrong, there's no backup asset.
-
About one-third of deals lose capital. That dispersion is why research quality matters disproportionately. Weak research on customer stickiness, succession risk, or regulatory exposure can permanently impair returns and your career.
The search fund model and lifecycle: where research plugs in
The search fund model follows six stages. At each stage, specific research questions either protect or create value.
-
Pre-search thesis work. Market size, fragmentation, revenue model preferences.
-
Raising search capital. Search fund capital raising can take two to six months.
-
Sourcing and evaluating targets. Entrepreneurs spend 12 to 18 months sourcing acquisition targets. Search fund entrepreneurs often encounter frequent rejection during outreach.
-
Acquisition. The acquisition process can last four to twelve months. Core questions: customer concentration, margin stability, technology risk, owner motivations.
-
Operation and value creation. Search fund entrepreneurs typically operate businesses for four to seven years with hands on management. The objective of a search fund is to sell the company or pursue an alternative liquidity event like a public offering or direct sale.
-
Exit. Investors receive their initial capital back with a target return after a holding period.
Research intensity is highest during thesis formation, pre-LOI evaluation, and confirmatory due diligence.
Stage 1: Pre-search and thesis design
Search fund research starts before any capital is raised. Aspiring MBA entrepreneurs pressure-test whether the search fund model offers the right fit for their geography and sectors.
-
Typical deliverables: a 1-2 page investment thesis, a light market map across 3-5 sectors, a view on preferred revenue models (recurring revenue vs. project-based), and an initial list of 50-100 subsectors. Our investment thesis guide covers how to structure the document so it actually gets backed.
-
Blend academic sources (Stanford and IESE studies) with practical input from experienced search funders and lower middle-market investors.
-
Prioritize: (1) recurring or contract-based revenue, (2) EBITDA margins above 15-20%, (3) low customer churn, (4) limited technology or regulatory disruption risk through at least 2030.
-
Use structured interviews with experts, former CEOs, senior sales leaders, customers, to disqualify sectors where owner succession risk is low or multiples are already bid up by private equity funds.
-
FieldSignal can source these experts on demand without an annual retainer, unlike opaque retainer models at large expert networks like GLG or AlphaSights.
Stage 2: Raising initial capital and defining your research toolkit
Search capital covers your salary, travel, and tools for 18-24 months. Acquisition capital is the equity portion and debt raised to buy the target company. These are distinct pools.
-
Searchers typically raise capital between $400,000 and $600,000 for operational costs and other related expenses, across 10-20 search fund investors, with step-up rights and right of first refusal for the acquisition round.
-
Searchers typically earn sweat equity or performance shares in the acquired company.
-
Earmark part of your search budget for research infrastructure: CRM for outreach, data providers, expert network access, call transcription, and occasional custom market studies.
-
Tools that matter: industry databases, company registry data, email prospecting tools, and expert network access for targeted questions.
-
FieldSignal's model: pay-per-use, transparent pricing, pass-through expert honoraria, no minimum commitment. No six-figure annual retainer.
-
Present your research stack to prospective board members and investors. It shows that the capital required for decisions will be structured, not anecdotal.
Stage 3: Industry and sub-sector screening research
Industry screening is where many search funds either create or destroy their odds. Every month in a bad sector is a lost month with limited capital resources.
-
Quantitative screens: searchers target businesses with revenues of $5 to $30 million and stable cash flows, EBITDA margins above 15%, at least 10 years of operating history, fragmented competition with no single player over 25% share. Search funds often target companies with minimum EBITDA of $1 million.
-
Qualitative filters: low customer churn, critical but non-discretionary services, low capital intensity, simple operations, and a seller profile skewed toward retirement-age founders without a clear succession plan.
-
Workflow: (1) desk research on market size and growth from 2018-2024, (2) expert interviews to validate realities, (3) light customer interviews or surveys to confirm switching behavior.
-
Favored sectors: B2B recurring services, niche vertical software, specialty healthcare services, compliance and testing services.
-
Many traditional private equity funds now reach into the same lower middle-market segments. PE fund managers have standardized playbooks. Search funds need differentiated sourcing through deeper, more tailored research rather than generic SIC-code screens.
Stage 4: Target company research before the LOI
Pre-LOI research on a target company must be fast and cost-effective. It supports a go/no-go decision and rough valuation.
-
Core dimensions: (1) financial quality, (2) customer quality and concentration, (3) competitive dynamics, (4) technology and regulatory exposure, (5) seller motivations and succession complexity.
-
Pull 3-5 years of financial statements. Reconcile swings against external facts like COVID disruptions, supply chain shocks, or major customer wins between 2020 and 2023.
-
Primary research via expert calls and customer interviews validates claims about churn, NPS, contract renewal rates, and pricing power. Broker CIMs are marketing documents.
-
Use anonymized expert interviews to understand the seller's reputation, employee sentiment, and any history with other suitors including PE firms or strategic buyers.
-
Speed matters. An efficient search process should give you enough conviction to issue or decline an LOI in one to three weeks.
Example: a search fund entrepreneur evaluating an industrial services company in 2022 discovered via customer interviews that a large client had signaled switching to a competitor. That finding reduced projected revenue and killed the LOI.
Stage 5: Confirmatory due diligence and value creation planning
Post-LOI research is deeper. It runs in parallel with legal, financial, tax, and quality-of-earnings workstreams coordinated with financial advisors and third-party providers.
-
Main due diligence workstreams: (1) detailed customer referencing and churn analysis, (2) competitor mapping and pricing benchmarks, (3) technology or product risk assessment, (4) management and leadership assessment, (5) verification of historical performance versus peers.
-
This is when the value creation plan forms. Search fund managers often implement operational efficiencies post-acquisition. Search fund entrepreneurs may add new business lines to enhance growth. Each initiative, pricing, salesforce effectiveness, geographic expansion, gets validated by external data.
-
Traditional private equity often has in-house operating partners. Search fund entrepreneurs rely on board members, boutique consultants, and targeted expert network projects.
-
FieldSignal supports this with multi-interview panels, structured surveys testing price sensitivity, and rapid competitor calls to map real share.
-
Timelines are tight: confirmatory diligence windows run 60-120 days. Run streams in parallel with clear decision gates on valuation adjustments and walk-away thresholds.
Search funds vs traditional private equity: research differences
The search fund model and the traditional model in private equity sit under the same broad category of private markets, but their research processes differ sharply. The contrast with institutional sponsor workflows is covered in our broader private equity research guide.
| Dimension | Search fund | Traditional private equity |
|---|---|---|
| Portfolio size | Single acquired company | Multiple companies in a portfolio |
| Typical deal size | Median EV ~$14.4M | $100M+ for most PE funds |
| Research budget per deal | Smaller total, higher proportional spend | Larger absolute budget, dedicated teams |
| Operator role | Entrepreneur becomes CEO | Sponsor hires or retains management |
| Decision speed | Faster, especially pre-LOI | Slower, multilevel approvals |
| Reliance on external experts | High, needs flexible external access | Mixed, often has in-house analysts |
Search funds tend to do more personal reference checks and culture assessments. Fund managers often take on CEO roles, so the research touches entrepreneurial studies and operator-readiness questions that institutional investors at large funds rarely ask.
Core research questions at each stage of the search fund model
Print this. Keep it beside your sourcing tracker.
Pre-search stage:
-
Is there strong evidence of retiring ownership with no succession plan between 2024 and 2030 in this sector?
-
Do customers view this service as critical or discretionary?
-
What are the typical revenue models, and how sticky are they?
-
What is the level of regulatory or technology disruption risk through 2030?
Search and sourcing stage:
-
What percent of target company revenue is recurring or under contract?
-
How many qualified targets exist in your geography with EV between $5M and $30M?
-
Are brokers and PE funds already saturating this space, pushing multiples up?
Acquisition and diligence stage:
-
Is any single customer above 10-20% of revenue?
-
How stable are margins historically? How were they affected by COVID, inflation, supply chain issues?
-
Are there dependencies on a single OEM, software platform, or key supplier?
-
What regulatory changes have occurred since 2020?
Operation and value creation stage:
-
Which operational levers, pricing, sales efficiency, cross-selling, have actually worked in similar companies in the last five years? These are the value creating strategies that matter.
-
What is the realistic ceiling for pricing power before churn accelerates?
-
What exit paths exist, and what are comparable multiples? What additional capital is needed for sustainable growth?
Using expert networks and primary research without blowing the budget
Many search funds and aspiring entrepreneurs feel priced out of large expert networks like GLG, AlphaSights, Third Bridge, Guidepoint, and Tegus. Those providers often bundle access into high, opaque annual retainers.
The alternative, low-quality freelancer marketplaces, carries its own risk: misrepresented expertise, compliance gaps, and unreliable interview quality. Legal compliance challenges can arise during the search fund lifecycle, especially around material non-public information.
A boutique research-as-a-service model like FieldSignal works differently: (1) you send a specific research scope, (2) the provider sources and vets experts, (3) you pay per completed call or survey with pass-through honoraria and no markups.
Concrete use cases for search funds: testing customer churn narratives in a B2B services deal, understanding reimbursement risk in a healthcare services roll-up, or assessing technology obsolescence risk in a niche software target.
Transparent pricing and no annual minimums let smaller funds, independent sponsors, and many experienced search funders run focused research sprints at key decision points instead of overpaying for unused capacity.
Common research mistakes search fund entrepreneurs make
Many failed or underperforming search funds share similar research errors. About 37% of searchers in the traditional search fund model never close an acquisition at all.
-
Relying solely on broker CIMs. These are marketing documents, not diligence. Treat them as a starting point, not the conclusion.
-
Underestimating customer concentration risk. One client at 30% of revenue is a red flag. Many search funds skip this check.
-
Ignoring succession dynamics. The acquired business depends on the founder's relationships. If there's no clear succession plan and no transition structure, you're buying a dependency, not a company.
-
Over-extrapolating from one or two expert calls. Anecdote isn't data. You need 5-10 calls per key question to see patterns.
-
Skipping direct customer contact. If you haven't heard objections from actual customers, you don't understand the business.
-
Copying a popular thesis without fresh data. Search fund accelerators and online communities recycle theses. What worked in Latin America in 2019 may not work in your geography in 2026. If you're considering a buy-and-build path post-acquisition, the roll-up strategy due diligence guide flags additional research traps.
-
Over-indexing on financial multiples, underweighting culture fit. Successful searchers know that operational complexity and culture matter more for a first-time CEO than the spread on invested capital.
Case-study style examples of search fund research in action
B2B software, 2021
A solo searcher evaluating a niche B2B software company used expert interviews with former product heads and current customers before issuing an LOI. Interviews revealed a major customer was negotiating a phased migration off the platform. That finding dropped projected recurring revenue and led to a pass. Desk research alone wouldn't have caught it.
Industrial services, 2022
A partnership search fund evaluating a regional services privately held company used supplier interviews and local expert panels. Calls confirmed pricing power was actually higher than assumed and the sales team was under-invested. The value creation plan focused on salesforce hiring and margin improvement on top clients. The deal closed with growth potential validated by primary data.
Healthcare services, 2023
Regulatory research and specialist expert calls highlighted reimbursement changes expected after 2025. The risk to cash flow was material. The searcher shifted from an aggressive growth thesis to conservative modelling, changed the deal structure to require seller retention, and added covenant protections. This is how medium sized businesses in regulated sectors demand extra research rigor.
How FieldSignal supports search funds and independent sponsors
FieldSignal helps search funds, independent sponsors, and small private equity firms do higher-quality research without large retainers. Search funds provide a unique use case because the research needs are intense but the budgets are constrained.
-
Expert consultations with former employees, customers, suppliers, and competitors of target businesses.
-
Short-turnaround customer satisfaction studies.
-
Panel calls for market entry and product roadmap insight.
-
Leadership assessment calls with ex-colleagues of key executives.
Commercial model: transparent per-project pricing, pay-per-use with no annual retainer, pass-through expert honoraria with no markup, and no minimum commitment. Quality controls include expert vetting, transcription, compliance training, and monitoring, at a standard comparable to established networks.
Use cases across the life cycle: early sector screens, "killer question" panels pre-LOI, deep customer referencing in confirmatory diligence, and periodic check-ins during the first 12-24 months of ownership. Search funds offer a concentrated, high-stakes investment model where every research dollar matters. FieldSignal is built for exactly that.
Conclusion and next step
Strong search fund research connects the dots from theory (Stanford and IESE studies) to practice (structured expert interviews, customer work, and market analysis) across each stage of the search fund model. Compared with traditional private equity, a search fund entrepreneur's personal exposure as both investor and CEO makes disciplined research non-optional. Raise capital with a research plan, not just a thesis deck. Design a simple research playbook before launching your search, with clear triggers for when to deploy primary research and external expert work. Financial returns depend on it.