Deployed
Three customer types validated through real conversations—PE firms, family offices, and fundless sponsors.
We didn't start with assumptions. We spent six months talking to people who live this problem every day.
43 interviews. 12 site visits where we watched teams work. 3 focus groups. 127 survey responses. Not asking "would you use this?" but "show me how you do this today."
Here's what we learned.
Method | Count | What We Learned |
---|---|---|
In-depth interviews | 43 | Real workflows, pain points, buying criteria |
Site visits | 12 | Watched analysts work, saw the chaos firsthand |
Focus groups | 3 | Feature prioritization, pricing sensitivity |
Survey responses | 127 | Quantitative validation of everything |
These came up over and over:
"We have three analysts spending half their time on deal sourcing. That's €300K annually just to find deals, most of which go nowhere."
The numbers:
"We've been burned by people claiming to represent funds that don't exist. Before we invest time, we need to know: Are they real? Do they have capital? Can they close?"
The cost:
"We can't broadcast our deal flow publicly. It tells competitors what we're working on. We need control over who sees what, when."
The impact:
"By the time we're in diligence, we have 200+ emails across 10 participants. For compliance reporting, we have to reconstruct timelines from emails. It's a nightmare."
The chaos:
đź’ˇ The Pattern
Notice what's missing? Nobody said "we don't have enough data." The problem isn't information—it's coordination, verification, and workflow. That's what you're solving.
We didn't just ask "would you use this?" We tested actual price points.
72%
Would pay €3,600-€6,000 annually for verified deal flow
84%
Would pay 0.25-0.5% for verified introductions that close
"If this saves our team 10 hours per week, that's €50K annually in time value. Paying €6K is a no-brainer."
We asked 127 people to rank features as Critical, Nice to Have, or Don't Need:
Feature | Critical | Nice to Have | Don't Need |
---|---|---|---|
Verification badges | 91% | 7% | 2% |
Thesis-based matching | 87% | 11% | 2% |
Redacted teasers | 83% | 14% | 3% |
Structured intros | 79% | 18% | 3% |
AI-assisted search | 42% | 51% | 7% |
📌 What This Tells You
Trust features are table-stakes. Workflow beats data. AI is interesting but not critical for MVP. Build verification and matching first, everything else later.
This is your primary target. They have the pain, the budget, and the urgency.
AUM Range
€200M - €3B
Team Size
3-8 people
Deals/Year
2-4 closed
Deal Size
€10M - €150M
€6K-€12K annual subscription + 0.25-0.35% success fee
Why they'll pay: ROI is clear. If platform saves 10 hours/week per person, that's €50K-€100K annually for a 3-person team. Subscription cost is 6-12% of time savings.
Decision Maker | Managing Partner or Investment Partner |
Influencers | COO (compliance), CFO (budget) |
Evaluation Criteria | Time savings, deal quality, ease of use, security |
Sales Cycle | 30-45 days from first contact to signature |
Budget Authority | €10K-€25K without committee approval |
"We're a €800M European buyout fund focused on B2B software. Our biggest challenge is finding proprietary deals before the broad market. If you could give us verified, thesis-matched introductions with confidentiality controls, we'd pay €10K+ without hesitation."
Secondary target. Less volume per customer, but desperate for access.
AUM Range
€150M - €5B
Team Size
2-5 people
Deals/Year
3-8 direct
Decision Speed
60-120 days
€4K-€8K annual subscription
Why they'll pay: Access is the currency. If platform opens doors to deals they couldn't reach otherwise, pricing becomes secondary to opportunity cost.
"We're a €400M single-family office. We do 4-5 direct deals per year. Our challenge is access—we're not a big-name institution. We need a way to prove we're serious, qualified investors."
Tertiary target, but strategically important. They're motivated sellers—solve the chicken-and-egg problem.
Team Size
1-3 people
Background
Ex-PE/Banking
Deals/Year
1-2 closed
Deal Size
€5M - €75M