What Winning Applicants Have in Common

Name: Profile of successful applicants across 713 US funding programmes
Creator: Khalid Hamadeh
License: Free to cite with attribution to GrantCompass.

By Khalid Hamadeh, founder of GrantCompass · Updated September 4, 2026

63.3%are built for a specific industry

51.1%of private programmes want traction

31.0%of federal want technical capability

25.7%of federal describe a partnership

4.5%describe winners with a prior award

Quick Answer

The strongest pattern is fit, not quality. Across the 713 US funding programmes where GrantCompass holds a researched profile of the typical successful applicant, 451 (63.3%) are built for a specific industry or sector. The next most common attributes are demonstrated traction or revenue (185, 25.9%), serving an underserved group or area (141, 19.8%), technical or research capability (127, 17.8%) and an experienced team (118, 16.5%). Which of those matters depends almost entirely on the funder: 51.1% of private programmes describe winners with traction, 31.0% of federal ones describe technical capability, and 76.7% of state ones are built around a named industry.

Updated September 4, 2026 — every figure on this page is recomputed from the GrantCompass verified US catalog by backend/scripts/build-application-reality-pack.py. Free to cite with attribution.

What winning applicants have in common

Each bar counts programmes whose researched profile of a typical successful applicant raises that attribute. A profile names several, so the bars overlap.

A specific industry or sector

451 programmes · 63.3%

Demonstrated traction or revenue

185 programmes · 25.9%

Serving an underserved group or area

141 programmes · 19.8%

Technical or research capability

127 programmes · 17.8%

An experienced or credentialed team

118 programmes · 16.5%

Being located in a particular place

116 programmes · 16.3%

A partnership or collaboration

88 programmes · 12.3%

A defined project rather than general support

58 programmes · 8.1%

A prior relationship with the funder or a partner

44 programmes · 6.2%

A track record of earlier awards or funding

32 programmes · 4.5%

713programmes

Federal 187
State 300
Private and foundation 182
Other 44

n = 713 of 736 catalogued programmes carry a researched success profile. This describes the kind of applicant a programme is built for, drawn from its own materials and its published awards — not a study of real applicants against real outcomes.

The dominant finding is unglamorous: 451 programmes (63.3%) are built for a specific industry or sector. Fit is not a tie-breaker in this market, it is the main event, which is the same thing the rejection data says from the other side — wrong fit is a named failure reason at 15.2% of programmes.

Three funders, three different winners

The profile of a winning applicant changes more between funder types than between industries. An applicant optimised for one lane is visibly wrong in another.

Theme	All programmes	Federal	State	Private and foundation
A specific industry or sector	63.3%	58.3%	76.7%	47.8%
Demonstrated traction or revenue	25.9%	14.4%	19.0%	51.1%
Serving an underserved group or area	19.8%	15.5%	10.3%	39.0%
Technical or research capability	17.8%	31.0%	20.7%	3.8%
An experienced or credentialed team	16.5%	22.5%	6.3%	31.3%
Being located in a particular place	16.3%	22.5%	19.7%	7.1%
A partnership or collaboration	12.3%	25.7%	12.0%	1.6%
A defined project rather than general support	8.1%	8.6%	8.0%	8.8%
A prior relationship with the funder or a partner	6.2%	15.0%	4.0%	1.6%

Share of programmes at each funder level naming the attribute. Programmes per group: Federal n=187 · State n=300 · Private and foundation n=182. Click any column heading to sort.

Federal (n=187)

A specific industry or sector58.3%

Demonstrated traction or revenue14.4%

Serving an underserved group or area15.5%

Technical or research capability31.0%

An experienced or credentialed team22.5%

State (n=300)

A specific industry or sector76.7%

Demonstrated traction or revenue19.0%

Serving an underserved group or area10.3%

Technical or research capability20.7%

An experienced or credentialed team6.3%

Private and foundation (n=182)

A specific industry or sector47.8%

Demonstrated traction or revenue51.1%

Serving an underserved group or area39.0%

Technical or research capability3.8%

An experienced or credentialed team31.3%

Federal winners bring capability

31.0%

31.0% of federal programmes describe winners with technical or research capability and 25.7% describe a partnership or collaboration — against 1.6% privately.

15.0% mention a prior relationship and 9.6% a track record of earlier awards. Federal funding compounds: winning once makes winning again easier.

State winners bring the sector

76.7%

76.7% of state programmes are built for a specific industry, the highest of any level, and 19.7% describe winners located in a particular place.

State money is industrial policy in practice: it is aimed at named sectors in named regions.

Private winners bring a business

51.1%

51.1% of private programmes describe winners with demonstrated traction or revenue against 14.4% federally, and 39.0% describe serving an underserved group.

Only 3.8% mention technical capability. Brand programmes are backing an operator, not a project.

The advantage that compounds, and what to do about it

Two attributes in this dataset are not qualities of your business at all. They are qualities of your history with the funder.

A prior relationship

44 programmes (6.2%) describe winners with an existing relationship — a partner institution, a prior contact, a membership. It is concentrated federally at 15.0%.

The practical move is to create the relationship before the deadline, not during it: attend the webinar, ask the programme officer a real question, find the partner.

A track record of awards

32 programmes (4.5%) describe winners with prior grants or funding behind them, 9.6% federally.

This is the argument for winning something small first. A first award is worth more than its face value because it changes the profile you present next time.

A partnership

88 programmes (12.3%) describe collaborations — universities, consortia, subrecipients. Federal 25.7%, private 1.6%.

For a small business the partner is often the whole eligibility case, not a nice-to-have.

The honest implication. If federal money rewards relationships and prior awards, then a founder with neither is not choosing between lanes on equal terms. The sequence that follows from this data is to win small and local first, then use that record where it compounds — rather than opening with the largest federal programme you can find.

Programmes built for people who have not won before

If a track record compounds, the first one matters more than its size. These 328 open programmes are flagged as friendly to first-time applicants; sort by effort to find the cheapest credible attempt.

60 programmes

Programme	Level	Type	Ceiling	Effort	Status
CDC Small Business Finance / Momentus Capital — Small Business Loans	Private	Loan	$30.0M	16 h	Active
Texas Small Business Credit Initiative (TSBCI)	State	Loan	$20.0M	19 h	Active
State Small Business Credit Initiative (SSBCI 2.0)	State	Program	$10.0M	15 h	Active
Missouri MOBUCK$ Linked Deposit Program — Small Business	State	Loan	$10.0M	8 h	Active
NDN Fund — Indigenous Business & Enterprise Loans	Private	Loan	$10.0M	24 h	Active
SBA 7(a) Loan Program	Federal	Loan	$5.0M	36 h	Active
Community Reinvestment Fund USA (CRF) — Small Business Loans	Private	Loan	$5.0M	14 h	Active
California Capital Access Program for Small Business (CalCAP SB)	State	Loan	$5.0M	8 h	Active
Nevada SSBCI Collateral Support Program	State	Loan	$5.0M	9 h	Active
Craft3 — Small Business Loans	Private	Loan	$4.0M	12 h	Active
BARDA DRIVe — Division of Research, Innovation and Ventures	Federal	Program	$3.0M	20 h	Active
American-Made Program Prize Challenges	Federal	Award	$3.0M	25 h	Active
Section 179 Expensing Deduction	Federal	Tax-Credit	$2.5M	4 h	Active
Illinois Advantage Illinois Participation Loan Program (PLP)	State	Loan	$2.0M	8 h	Active
SBA Economic Injury Disaster Loan (EIDL)	Federal	Loan	$2.0M	14 h	Active
Lakota Funds — Native Business & Ag Loans	Private	Loan	$2.0M	33 h	Active
New Mexico Smart Money Business Loan Participation Program	State	Loan	$2.0M	13 h	Active
Ohio Minority Business Direct Loan Program	State	Loan	$1.5M	26 h	Active
Indiana Venture Capital Investment (VCI) Tax Credit	State	Tax-Credit	$1.5M	11 h	Active
Virginia Enterprise Zone Job Creation Grant (JCG)	State	Grant	$1.4M	15 h	Active
LiftFund — CDFI Small Business Loans	Private	Loan	$1.0M	6 h	Active
NYSERDA FlexTech — Flexible Technical Assistance Program (Energy Studies)	State	Grant	$1.0M	5 h	Active
Oregon Entrepreneurial Development Loan Fund (EDLF)	State	Loan	$1.0M	12 h	Active
TruFund Financial Services — CDFI Small Business Loans	Private	Loan	$1.0M	8 h	Active
InvestOhio — Ohio Small Business Investment Tax Credit	State	Tax-Credit	$1.0M	5 h	Active
Efficiency Maine Commercial & Industrial Incentives	State	Program	$1.0M	6 h	Active
VEDA Vermont Small Business Loan Program	State	Loan	$1.0M	20 h	Active
Startup World Cup	Private	Award	$1.0M	8 h	Active
Washington Revenue-Based Financing Fund	State	Loan	$1.0M	7 h	Active
Virginia Small Business Financing Authority (VSBFA) Loan Guaranty Program	State	Loan	$1.0M	8 h	Active
Virginia Small Business Financing Authority (VSBFA) Economic Development Loan Fund (EDLF)	State	Loan	$1.0M	18 h	Active
South Carolina Community Loan Fund (SCCLF) — Small Business Loans	Private	Loan	$1.0M	14 h	Active
Rhode Island Small Business Assistance Program (SBAP)	State	Loan	$750K	14 h	Active
U.S. Fish & Wildlife Service Partners for Fish and Wildlife Program	Federal	Grant	$750K	16 h	Active
Employer-Provided Childcare Credit (Section 45F)	Federal	Tax-Credit	$600K	4 h	Active
USDA FSA Direct Farm Ownership Loan	Federal	Loan	$600K	30 h	Active
Arizona Job Training Program	State	Grant	$500K	18 h	Active
Idaho Workforce Development Council — Employer Training Grant	State	Grant	$500K	8 h	Active
LISC Entrepreneurs of Color Fund — Small Business Loans	Private	Loan	$500K	5 h	Active
TEDCO Seed Fund	State	Program	$500K	20 h	Active
Michigan Going PRO Talent Fund	State	Grant	$500K	25 h	Active
Pursuit — CDFI Small Business Loans	Private	Loan	$500K	5 h	Active
SBA Export Express Loan Program	Federal	Loan	$500K	8 h	Active
SBA Express Loan	Federal	Loan	$500K	16 h	Active
Texas Skills Development Fund	State	Grant	$500K	25 h	Active
Connecticut Angel Investor Tax Credit	State	Tax-Credit	$500K	6 h	Active
USDA Farm Storage Facility Loan (FSFL) Program	Federal	Loan	$500K	11 h	Active
Arkansas Small Business Revolving Loan Guaranty Program	State	Loan	$500K	12 h	Active
Nebraska Dollar and Energy Saving Loans (DESL)	State	Loan	$500K	8 h	Active
Connecticut Bioscience Innovation Fund (CBIF)	State	Program	$500K	24 h	Active
Mountain BizWorks — Western NC Small Business Loans	Private	Loan	$500K	10 h	Active
U.S. Fish & Wildlife Service Coastal Program	Federal	Grant	$500K	18 h	Active
New York Truck Voucher Incentive Program (NYTVIP)	State	Grant	$425K	10 h	Active
California HVIP — Hybrid and Zero-Emission Truck and Bus Voucher Incentive Project	State	Grant	$420K	6 h	Active
USDA FSA Direct Farm Operating Loan	Federal	Loan	$400K	20 h	Active
USDA Intermediary Relending Program (IRP)	Federal	Loan	$400K	15 h	Active
Four Bands Community Fund — Business & Ag Loans	Private	Loan	$400K	28 h	Active
Accompany Capital — Small Business Loans for Immigrant and Refugee Entrepreneurs	Private	Loan	$350K	6 h	Active
DreamSpring — CDFI Small Business Loans	Private	Loan	$350K	4 h	Active
Carolina Small Business Development Fund — Small Business Loans	Private	Loan	$350K	13 h	Active

Showing the 60 highest-ceiling of 328. Public catalog fields only. Open the database.

Which programmes are built for a business like yours?

Match the profile before you write. Applying against the wrong winner profile is the most expensive mistake in this dataset because it is invisible until you lose.

Find the lane your profile fits

What is the strongest true thing about your business right now?
IF REVENUE AND CUSTOMERS → Private and corporate programmes: 51.1% describe winners with demonstrated traction.
IF TECHNICAL OR RESEARCH DEPTH → Federal: 31.0% describe winners with technical or research capability.
IF JOBS AND LOCAL PRESENCE → State: 76.7% are built for a specific industry and 19.7% for a specific place.

Have you won any grant before, however small?
IF YES → Say so early. 32 programmes describe winners with a prior award, and it is the cheapest credibility you will ever present.
IF NO → Then target a first, small, local or first-time-friendly award before the large competitive ones. The record is worth more than the money.

Do you have a relationship with anyone in the funder's world — a partner, an institution, a programme officer?
IF YES → Use it. 44 programmes describe winners with exactly that, rising to 15.0% federally.
IF NO → Build one before the next cycle rather than this one. Webinars and programme officers are accessible and almost nobody uses them.

Does your business serve an underserved group or area?
IF YES → 141 programmes describe winners who do, and 39.0% of private programmes are built around it. It is a genuine advantage in that lane.
IF NO → Then compete on sector fit and traction, which are the two broadest patterns in the data.

Questions founders actually ask

What do winning grant applicants have in common?

Fit, above everything else: 451 of 713 programmes (63.3%) are built for a specific industry or sector. After that, demonstrated traction or revenue (25.9%), serving an underserved group or area (19.8%), technical or research capability (17.8%) and an experienced team (16.5%).

Does winning one grant make the next one easier?

The data points that way. 32 programmes (4.5%) describe winners with a track record of earlier awards, rising to 9.6% federally, and 44 describe winners with a prior relationship. Both are arguments for winning something small first.

Do I need a university or partner to win federal money?

Not always, but it is common: 25.7% of federal programmes describe winners in a partnership or collaboration, against 1.6% of private ones. For a small business the partner often carries the eligibility case.

Is this based on people who actually won?

It is drawn from what programmes publish about the applicants they are built for and the awards they have made. It is not a controlled study of applicants against outcomes, and we hold no applicant-level data, so nothing here estimates your odds.

How do I know if I fit a specific programme?

That is the per-programme question this page cannot answer. The success profile for one programme is part of the Win Brief; the database filters all 736 against your own profile.

Methodology, scope and what this data cannot tell you

Computed from the GrantCompass verified US catalog of 736 funding programmes, of which 713 carry a researched success profile drawn from each programme's own materials and published awards. It describes the applicant a programme is built for, not a controlled study of applicants against outcomes.

Themes are not mutually exclusive. A programme's own text routinely raises several concerns at once, so a programme can count toward more than one theme and the shares deliberately sum above 100%. They are not a partition and must not be read as slices of a pie.

This records what programmes say, not what happened to applicants. GrantCompass holds no applicant-level outcome data: nothing here is a rate over real applications, and no figure on this page describes how likely you are to win. It describes what 713 funders tell applicants, read consistently and counted.

Absence is not permission. Where a programme's record does not mention a requirement, that is a fact about the record, not evidence the requirement does not exist. Counts are always of programmes that state a thing, never of programmes that fail to.

Thin cells are suppressed. A share is only published for a funder level with at least 25 programmes behind it, which is enforced in the generator rather than in review. Local and municipal programmes are therefore absent from several breakdowns.

Per-programme detail — what one specific programme requires, scores and rejects on — is the paid Win Brief and is never published here. Everything on this page is an aggregate across programmes, or a public field (award ceiling, level, type, status, application effort) shown per programme.

The winner profile for one programme

Fit is programme-specific and it is the thing that decides most outcomes. The Win Brief carries one programme's success profile alongside what it requires, how it scores and why it rejects applications.

Open the programme database →