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VSaaS Performance

How do you know it's working?


The Focus Matrix

Score opportunities before committing resources:

DimensionQuestionScore 1-5
Product Fit ScoreHair-on-fire problem? Clear wedge?
TAM ScoreCan you get 50%+ market share?
CAC PaybackLess than 12 month payback achievable?
Win RateWinning 30%+ of competitive deals?

Interpretation:

  • All 4s or 5s → Scale aggressively
  • Any 2 or below → Fix before scaling
  • Mixed 3s → Investigate, don't assume

Annual Contract Value

ACV Tiers and What They Mean

ACV RangeCustomer TypeSales MotionMetric Focus
Under $1KSelf-serve SMBPLGActivation, expansion
$1K-$10KAssisted SMBInside salesCAC, velocity
$10K-$50KMid-marketField salesWin rate, deal size
$50K-$250KEnterpriseStrategicLand, expand, renew
$250K+Large enterpriseNamed accountsMulti-year, platform

Monopoly Math

Revenue expands when you own the transaction:

TAM (software only) = Industry × Software Spend
TAM (with payments) = Industry × Transaction Volume × Take Rate

Example: Restaurants
├── Software TAM: $10B
├── Payment TAM: $100B (10x)
└── Toast revenue: 83% payments, 17% software

KPIs by Evolution

See Standard Benchmarks

Early Stage (Pre-PMF)

MetricTargetWhy It Matters
Pilot conversion>50%Product works
Time to valueUnder 30 daysEasy to adopt
NPS>50Word of mouth
Expansion in pilots>30%Land and expand works

Growth Stage (Post-PMF)

MetricTargetWhy It Matters
Net Revenue Retention>110%Expansion > churn
CAC PaybackUnder 12 monthsUnit economics
Win rate>30%Competitive positioning
Logo churnUnder 10% annuallySticky product

Scale Stage

MetricTargetWhy It Matters
Gross margin>70%Operating leverage
Rule of 40Growth + margin >40%Balanced growth
Market share>30% of ICPPath to monopoly
Payment attach>50% of customersRevenue multiplier

Segment Scoring

Not all customers are equal. Score them:

FactorWeightHigh ScoreLow Score
Revenue potential30%$100K+ ACVUnder $10K ACV
Logo value20%Industry leaderUnknown
Implementation ease20%Standard workflowHeavy custom
Expansion potential20%Multi-productSingle use
Reference potential10%Will advocateWon't talk

Use for: Prioritizing pipeline, allocating CS resources, deciding custom work.


The Henry.ai Benchmark

What "good" looks like in PropTech VSaaS:

MetricBeforeAfter
Time per deal deck4-8 hours10 minutes
Deals per analyst2-3/week10-15/week
Pricing~$15K/yearROI in first mandate

Why it works:

  • Single painful workflow (deck creation on every deal)
  • Clear ROI metric (hours saved → more deals closed)
  • Founder-market fit (built by analyst who lived the pain)
  • Data exhaust (templates = switching costs)

Evidence Loop

After launch, close the loop:

SHIP

MEASURE (What happened?)

COMPARE (vs. expectation)

DIAGNOSE (Why?)

ITERATE (What changes?)

The discipline: Define success metrics BEFORE launch, not after.


Context