Here Is Exactly How to Spend €2 Million on Female Entrepreneurs So It Actually Works

TL;DR: Here Is Exactly How to Spend €2 Million on Female Entrepreneurs

A EU-funded project recently asked me to deliver a free workshop while sitting on €2 million in public money. When I did the math on where that money goes, the answer was: mostly not to female entrepreneurs. This article proposes a concrete alternative. A full budget breakdown for what €2 million could actually do if it were designed to produce outcomes rather than deliverables, and a results-tracking framework so that "it worked" means something measurable and not just a stack of dissemination reports.

💡 Check out the complete opinion piece on EU funding for female entrepreneurs..

By now you may have read my piece on MeanCEO about a EU-funded project that asked me to run a free workshop while holding €2 million in public money. Or the data piece on Fe/male Switch that showed female-founded startups still receive just 12% of VC in Europe. Or the CADChain article on what the numbers look like for deep tech specifically, where the figure drops to 11%.

If you have not, the short version is this: a large portion of EU funding earmarked for female entrepreneurs never reaches them. It circulates inside the consortium and administrative layer that received the grant, and the women it was supposed to help are asked to contribute their time for free so the programme can demonstrate activity to its evaluators.

This article does not re-litigate that argument. It answers a different question.

If you had €2 million and a genuine mandate to help female entrepreneurs build sustainable businesses, how would you actually spend it? And how would you know, one year and three years later, whether it worked?

Here is the plan.

First, the Problem With How It Is Currently Spent

Before the alternative budget, it is worth being precise about what is wrong with the current model, because the errors are specific and correctable.

The first error is mandatory service spend. In programmes like Epic-X, startups receiving cascade funding must allocate at least one third of their individual grant to consultants chosen by the consortium. At €20,000 per startup for 15 to 20 hours of work, that is over €1,000 per hour going to advisors the startup did not select. This is not support. It is a procurement system that benefits the service providers inside the consortium's network.

The second error is activity metrics. EU grant programmes are evaluated on deliverables: workshops held, participants reached, reports submitted. None of those metrics tell you whether a single female entrepreneur is doing better because the programme existed. A project can score perfectly on every deliverable while producing zero lasting impact. And many do.

The third error is timing. Most EU programmes target the very earliest stage of entrepreneurship, before MVP, before first revenue. That is where the funding is easiest to justify administratively. But the gender funding gap is most damaging at later stages, when real scale becomes possible and capital requirements grow. Supporting 20 women through ideation workshops does nothing about the fact that female-led companies receive 3% of tech startup capital investment at growth stage.

The fourth error is free labour extraction. When programmes contact established female entrepreneurs and ask them to contribute expertise without payment, they are using the credibility of those women to validate their own deliverables while keeping the budget for other things. This is documented, systematic, and almost never named for what it is.

A better model fixes all four.

The Alternative Budget: €2 Million That Actually Works

Here is a proposed allocation for a two-year programme serving female entrepreneurs across Europe. Every line has a rationale. None of it includes mandatory consultant spend that the startup did not request.

Direct Cash Grants to Founders: €1,200,000

30 grants of €40,000 each, fully discretionary.

No mandatory service deductions. No pre-selected advisors. Each founder decides how to deploy the money: product development, hiring, tooling, marketing, legal, whatever the company actually needs at that moment.

Forty thousand euros is enough to cover six months of lean operations for an early-stage company, fund a technical proof of concept, or pay a first contractor. It is not life-changing capital. It is enough to remove the survival pressure that kills more early companies than bad ideas do.

The selection criteria: revenue or clear path to revenue within 12 months, a working product or advanced prototype, and a founding team with at least one woman in a CEO, CTO, or CSO role. No requirement for five years of programme history. No requirement for consortium membership.

Thirty companies is a meaningful cohort. It is also a manageable number for genuine follow-up.

Why this amount, not €60,000 per company? Because the other €20,000 previously earmarked for mandatory consultants is redistributed into the peer network and specialist fund lines below, where it delivers more value.

Peer-Led Mentor Network: €250,000

Paid mentorship from founders who are currently building, not retired.

A 2024 BCG study found that women-led teams generate 2.5 times higher ROI, partly because they build more collaborative, customer-focused environments. The practical implication: female founders learn more from other female founders who are operating right now than from general business advisors with backgrounds unrelated to startups.

This budget line pays working founders for their time. Fifty mentors at €5,000 each for a structured six-month engagement with one or two programme participants. The mentor is matched to the founder based on sector, stage, and specific challenge, not allocated by the programme.

Paying mentors has two effects. It attracts people with real skin in the game rather than people who mentor because they have free time. And it eliminates the dynamic where female entrepreneurs are expected to provide expertise for free as a community contribution, which is exactly the pattern this programme is designed to stop.

Specialist Fund for Actual Gaps: €200,000

Access to legal, IP, and technical support, chosen by the founder.

The services that early-stage female founders most commonly report they cannot afford are legal (incorporation, contracts, IP registration), technical (MVP development, security audits), and financial (accounting, investor-readiness modelling). These are not services a general business consultant can provide. They require specialists.

This fund provides each of the 30 programme companies with up to €6,600 in a voucher redeemable against any pre-qualified service provider in a curated marketplace. The company chooses. They choose based on what they actually need, not based on what a consortium partner happens to offer.

The marketplace is built and maintained as part of the programme infrastructure budget below. Providers apply to be listed. They are rated by founders after each engagement. Poor ratings result in removal.

Programme Infrastructure: €200,000

The machinery that makes the rest work.

This covers programme management by a small team with operational startup experience (not grant management experience), the technology platform for applications, milestone tracking, and the specialist marketplace, legal and compliance costs, and communications.

Two hundred thousand euros for two years of full programme operations is lean. It requires using existing tools rather than building custom ones, and it requires a team of three to four people rather than a large secretariat. That is achievable, and it is the right constraint. Every euro spent on infrastructure is a euro not reaching a founder.

Public Results Dashboard: €50,000

Every outcome, published, permanently.

This line funds the build and hosting of a public dashboard that tracks programme results in real time across the full three years following each cohort. What is measured is listed in full in the next section. The dashboard is publicly accessible and updated quarterly.

This is not a dissemination deliverable. It is an accountability mechanism. If the programme is not working, the dashboard says so. If it is working, the dashboard proves it in a way that a report submitted to an evaluator never can.

Fifty thousand euros covers the build, one year of maintenance, and the data collection infrastructure needed to populate it.

Total

Line	Amount
Direct grants (30 × €40,000)	€1,200,000
Paid mentor network (50 × €5,000)	€250,000
Specialist fund (30 × €6,600)	€200,000
Programme infrastructure	€200,000
Public results dashboard	€50,000
Contingency	€100,000
Total	€2,000,000

Percentage of total budget reaching founders directly: 70%.

Compare that to the standard cascade funding model, where documented EU programmes allocate 12% to 16% of total project budget to third parties. Under this model, the equivalent figure is 70%. The remaining 30% is infrastructure that serves the founders rather than the consortium.

The Results Framework: How You Know If It Worked

This is the part that almost no EU programme for female entrepreneurs has ever done seriously. The standard evaluation measures whether activities happened. This framework measures whether outcomes happened.

Here is what to track, when to measure it, and what a good result looks like.

At Programme Exit (End of Month 24)

Survival rate. What percentage of the 30 funded companies are still operating? A good result is 85% or above. Top accelerators like Y Combinator achieve a 93% survival rate versus the general startup norm of around 30% over ten years. A programme that cannot achieve 85% survival within two years has a problem with its selection criteria.

Revenue traction. What percentage of funded companies have reached first revenue? A good result is 80% or above. This is the minimum bar for a company that received €40,000 and two years of support.

Follow-on capital. What percentage of funded companies have raised additional funding, whether grants, angels, pre-seed VC, or revenue-based financing? A good result is 40% or above. The Female Founders GROW F programme reports that alumni raise an average pre-seed round of €870,000 after a five-week programme. A two-year programme with €40,000 in direct funding should achieve at least comparable follow-on conversion.

Mentor satisfaction. What percentage of mentors rated the match as productive? What percentage of founders rated the mentorship as relevant to their actual challenges? Both should be above 75%.

At Year Three (12 Months Post-Programme)

Sustained operations. What percentage of the original 30 companies are still operating? A good result is 75% or above.

Revenue growth. Of companies that reached first revenue by programme exit, what percentage have grown revenue by at least 50% in the 12 months following? A good result is 60% or above.

Employment. How many full-time jobs have the 30 companies collectively created? A good result is at least one new hire per company on average, which is 30 net new full-time positions. If diverse teams genuinely drive the 62% performance improvement in companies with over 30% female executives that research documents, 30 female-led companies with real capital should be creating meaningful employment.

Capital raised since programme exit. What is the total capital raised by programme alumni in the 12 months after graduation, from all sources? This figure tells you whether the programme produced investor-ready companies or just kept companies alive.

What the Dashboard Does Not Track

This is as important as what it does track.

The dashboard does not track workshops attended, events held, or hours of consultation delivered. Those are activity metrics that measure the programme's own behaviour, not the outcomes for founders.

It does not track satisfaction scores collected immediately after a workshop, which research consistently shows are inflated and poorly predictive of actual learning or behaviour change.

It does not count participants in webinars, downloads of resource packs, or followers on the programme's social media accounts. These numbers are easy to inflate and tell you nothing about whether a female entrepreneur is better positioned to build a business than she was before the programme touched her.

The only numbers that matter are: is the company still running, is it growing, and is it attracting capital? Everything else is noise that allows bad programmes to look good on paper.

What This Would Actually Cost Per Outcome

Let us do the math that EU programmes rarely publish.

If 85% of the 30 funded companies survive to programme exit, that is 25 companies still operating, having received an average of €66,600 in total support including mentor access and specialist fund allocation.

If 40% raise follow-on capital at an average of €200,000 each, the programme has catalysed €2.4 million in private capital from a €2 million public investment, a 1.2x leverage ratio in the first two years alone.

If those 25 surviving companies each create two jobs on average by year three, that is 50 new positions, with a cost-per-job from the public investment of €40,000. That is within the range of accepted European employment programme benchmarks.

And if the public dashboard shows that 15% of companies did not survive, that data immediately informs the next cohort's selection criteria. Bad outcomes become learning inputs rather than buried failures.

This is what accountability looks like when it is designed in rather than bolted on at the reporting stage.

The Fe/male Switch Model

Fe/male Switch was built without a single euro of EU funding. It was rejected every time we applied. The platform now serves thousands of aspiring female entrepreneurs across Europe. It is a nonprofit, which means every user accesses it for free.

We built exactly what this article is arguing for: an outcome-focused model, low overhead, direct value to the founder, and measurable results at each stage of the game.

The game is free to play. The skills are real. The startup thinking women develop inside it is directly applicable to their actual businesses.

If you want to support a model that puts the money where the mission says it goes, you can do that here. Every donation goes toward the platform, the content, and the micro-funding of the best players so they can take their virtual startup into the real world.

That is the thing the two million euros was supposed to do.

We just did it without the two million.