Comparative Valuation

Scorecard Valuation Method

Value your pre-revenue startup by comparing to funded companies in your market. The Bill Payne Scorecard Method for angel investors.

What is the Scorecard Method?

The Scorecard Valuation Method, developed by angel investor Bill Payne, values pre-revenue startups by comparing them to similar companies that have recently been funded. It starts with a baseline valuation (average for your region/industry) and adjusts it based on 7 key factors.

Unlike the Berkus Method which assigns absolute dollar values, Scorecard uses percentage adjustments, making it more flexible and market-responsive.

How It Works

1

Find Baseline Valuation

Research average pre-money valuations for similar startups in your region and industry. Use data from AngelList, Crunchbase, or local angel groups.

Typical Baselines:

Silicon Valley SaaS seed: $2-3M

US (outside SV) seed: $1.5-2M

Europe seed: $1-2M

2

Score 7 Key Factors

Rate your startup on each factor compared to average funded companies. Each factor gets a percentage adjustment (typically 60-150%).

Excellent: 120-150% (top 20%)

Good: 100-120% (above average)

Average: 80-100% (typical)

Below: 60-80% (needs work)

3

Calculate Weighted Score

Multiply each factor's score by its weight, sum all weighted scores to get total adjustment percentage.

Total Adjustment = Σ (Factor Score × Factor Weight)

Example: (130% × 30%) + (100% × 25%) + ... = 105%

4

Apply to Baseline

Multiply baseline valuation by total adjustment percentage to get final valuation.

Final Valuation = Baseline × Total Adjustment

Example: $2M × 105% = $2.1M

Seven Scorecard Factors

Strength of Management Team

0-30%

Experience, domain expertise, previous exits, complementary skills, ability to execute

Excellent (120-150%)

Serial entrepreneurs with successful exits, deep domain expertise, complete team

Average (80-100%)

Mix of experienced and first-time founders, some gaps in team

Below (60-80%)

First-time founders, incomplete team, limited relevant experience

Size of Opportunity

0-25%

Total addressable market (TAM), market growth rate, market accessibility

Excellent (120-150%)

$10B+ TAM, 20%+ annual growth, clear path to market

Average (80-100%)

$1-10B TAM, 10-20% growth, some market barriers

Below (60-80%)

<$1B TAM, stagnant market, high barriers to entry

Product/Technology

0-15%

Product stage, technical feasibility, innovation, IP protection

Excellent (120-150%)

Working product, strong IP, significant innovation, proven technology

Average (80-100%)

MVP stage, some differentiation, functional prototype

Below (60-80%)

Concept stage, unproven technology, no clear differentiation

Competitive Environment

0-10%

Competition intensity, market position, barriers to entry, defensibility

Excellent (120-150%)

Blue ocean, first-mover advantage, strong moats, few competitors

Average (80-100%)

Moderate competition, some differentiation, growing market

Below (60-80%)

Highly competitive, many well-funded competitors, commoditized market

Marketing/Sales Channels

0-10%

Go-to-market strategy, sales pipeline, partnerships, early traction

Excellent (120-150%)

Proven channels, strong pipeline, strategic partnerships, early revenue

Average (80-100%)

Identified channels, some traction, developing partnerships

Below (60-80%)

No clear GTM strategy, no traction, no partnerships

Need for Additional Investment

0-5%

Capital efficiency, runway extension, funding risk

Excellent (120-150%)

Low capital needs, long runway, clear path to next milestone

Average (80-100%)

Moderate capital needs, adequate runway

Below (60-80%)

High burn rate, short runway, uncertain funding path

Other Factors

0-5%

Regulatory environment, timing, network effects, brand

Excellent (120-150%)

Favorable regulations, perfect timing, strong network effects

Average (80-100%)

Neutral environment, reasonable timing

Below (60-80%)

Regulatory headwinds, wrong timing, no network effects

Example Calculation

Baseline: $2M (US SaaS seed average)

Team (30% weight) × 120%= 36%
Opportunity (25% weight) × 110%= 27.5%
Product (15% weight) × 100%= 15%
Competition (10% weight) × 90%= 9%
Marketing (10% weight) × 80%= 8%
Funding Need (5% weight) × 100%= 5%
Other (5% weight) × 100%= 5%
Total Adjustment105.5%

Final Valuation: $2.11M

$2M baseline × 105.5% = $2.11M

✓ Advantages

  • • More objective than Berkus Method
  • • Based on real market data
  • • Flexible across industries and regions
  • • Widely accepted by angel investors
  • • Considers multiple dimensions

⚠ Limitations

  • • Requires comparable funding data
  • • Subjective factor scoring
  • • Market conditions affect baseline
  • • Not suitable for revenue-stage
  • • Needs honest self-assessment

Frequently Asked Questions

What is the Scorecard Valuation Method?
The Scorecard Method (Bill Payne Method) values pre-revenue startups by comparing them to similar funded companies. Start with average pre-money valuation in your region/industry, then adjust using 7 factors: strength of team (0-30%), size of opportunity (0-25%), product/technology (0-15%), competitive environment (0-10%), marketing/sales (0-10%), need for additional investment (0-5%), and other factors (0-5%). Each factor gets a percentage adjustment above or below 100%.
When should I use the Scorecard Method?
Use Scorecard Method for: 1) Pre-revenue or early revenue startups, 2) Seed and early Series A rounds, 3) When comparable funding data exists, 4) Angel investor valuations. It's better than Berkus Method when you have market comparables and more objective than purely qualitative methods.
How do I find the baseline valuation for Scorecard?
Find average pre-money valuations in your: 1) Geographic region (Silicon Valley: $2-3M, other US: $1.5-2M, Europe: $1-2M), 2) Industry (SaaS, FinTech, HealthTech, etc.), 3) Stage (pre-seed, seed). Sources: AngelList, Crunchbase, PitchBook, local angel groups. Use median valuations from last 12-24 months.
What percentage adjustments should I use?
Be realistic with adjustments: Excellent (120-150%), Good (100-120%), Average (80-100%), Below Average (60-80%), Poor (40-60%). Most startups score 80-120% on most factors. Very few justify 150%+ on multiple factors. Conservative adjustments (closer to 100%) are more credible to investors.
How accurate is the Scorecard Method?
Scorecard is more objective than Berkus but still subjective in factor scoring. Accuracy depends on: 1) Quality of comparable data, 2) Honest self-assessment, 3) Market conditions stability. Use it alongside other methods (Berkus, VC Method) for validation. Expect ±30% variance from actual negotiated valuation.

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