The most common misconception among founders in fundraising: they believe investors assess a startup on the basis of conventional financial metrics — revenue, profit, balance sheet total. The opposite is true. Traditional valuation models fail structurally when applied to startups, because they measure historical performance whilst venture capital is predicated on future expectations. A business with negative EBITDA and a valuation in the hundreds of millions is not an anomaly — it is the norm in early growth stages. What investors actually examine can be distilled into five core factors.
1. Team Quality: The Single Most Important Factor
At the early stage, venture capital investors invest primarily in people, not in products. The product will inevitably change — the team is the constant. Investors assess three dimensions: founder DNA (entrepreneurial drive, appetite for risk, resilience), domain expertise (does the founding team understand the problem from first-hand experience?) and track record (have the founders previously built, sold, or managed something?).
An experienced team with a mediocre product is funded more frequently than an inexperienced team with an excellent idea. The reason: experienced founders know how to pivot when the original thesis does not hold — and in most cases, it does not. Founding teams with complementary skills are viewed particularly favourably: a technical co-founder, a commercially strong CEO, and ideally someone with sector experience in the target market.
2. Market Size: Why TAM Is Decisive
Venture capital is a return model that depends on outliers. A fund with 20 investments expects one or two of them to return ten times or more the capital invested — and to compensate for the losses on the others. This means: a startup must operate in a market large enough to produce a billion-pound business.
The classic three-tier framework is: Total Addressable Market (TAM) — the theoretical total market; Serviceable Addressable Market (SAM) — the reachable portion of it; Serviceable Obtainable Market (SOM) — the realistically winnable share over the next three to five years. Investors want to see TAMs of at least one billion euros — not because the startup will capture the entire market, but because it must be large enough to reach meaningful scale even with a five per cent market share. The growth rate of the market is equally important: a rapidly expanding market forgives early mistakes; a stagnant market demands flawless execution.
3. Traction: Numbers That Substantiate Hypotheses
Traction is the proof that the market thesis holds not only on paper. It replaces assumptions with data. The most important traction metrics in a SaaS context:
- MRR growth: Month-over-month growth of 10–15% qualifies as a T2D3 candidate (Triple, Triple, Double, Double, Double) — the target growth profile for Series A-ready businesses.
- Churn rate: A monthly churn rate below 2% is acceptable; below 1% is strong. High churn signals product-market fit issues that no marketing budget can resolve.
- Net Revenue Retention (NRR): An NRR above 110% means the business grows even without new customer acquisition — through expansion revenue from existing customers. This is a powerful signal.
- NPS: A Net Promoter Score above 50 indicates genuine customer enthusiasm and facilitates organic growth.
4. Unit Economics: Can Growth Be This Expensive?
Anyone can grow quickly — if cost is no object. Investors therefore examine whether growth is economically sound. The three core metrics:
Customer Acquisition Cost (CAC) is the total cost of acquiring a new customer — including marketing, sales, and onboarding. Lifetime Value (LTV) is the expected total revenue from a customer over the duration of the relationship. An LTV/CAC ratio below 3:1 means the business is investing more in customer acquisition than it is recouping. The payback period — the time taken to recover the CAC through customer revenue — should be below 18 months for SaaS businesses.
5. Technology and Moat: What Protects Market Share?
Investors always ask: what happens if a well-funded competitor builds the same thing? The answer defines the economic moat. Three robust moat types exist in a technology context:
- Proprietary technology: Algorithms, models, or infrastructure that cannot easily be replicated — particularly relevant where they have been trained on exclusive data.
- Switching costs: The more deeply a product is embedded in a customer's workflows, the more costly it is to switch. ERP systems and data infrastructure carry high switching costs — protecting against churn and pricing pressure.
- Network effects: Platforms that become more valuable as more users join generate a compounding effect that competitors without critical mass cannot replicate.
A startup without a discernible moat is a product, not a business. Investors look for businesses.
Typical Valuation Multiples and What Deters Investors
The valuation logic in venture capital is anchored to ARR multiples: early-stage businesses (seed to Series A) are valued on the basis of Annual Recurring Revenue (ARR) — the multiple varies considerably by growth rate, team, and market size. Growth-stage businesses (Series B and beyond) typically attract lower multiples, as risk is reduced but so too is the upside potential.
What immediately deters investors: a high churn rate is a red flag that no amount of growth can offset. An unclear go-to-market strategy — "we sell to everyone" — signals a lack of focus and excessive CACs. And a founder-dependent business, in which all customer relationships, product knowledge, and sales strategy reside solely with the founder, renders the business unscalable — and therefore unattractive to institutional investors.