lev-os Analyzing Competitive Moat Durability
When To Use
- Evaluating a growth-equity or late-stage investment target's defensibility before committing capital
- Stress-testing an existing portfolio company's competitive position during annual reviews or follow-on funding decisions
- Comparing moat quality across multiple deal candidates in a sector screen
- Assessing whether a company's margins are structurally protected or temporarily inflated
Inputs To Gather
- Product & pricing data: Current pricing, historical price changes, feature comparison vs. top 3 competitors
- Customer metrics: Net revenue retention (NRR), logo churn, average contract length, expansion revenue as % of ARR
- Switching cost evidence: Integration depth (API calls, data volume, workflow embedding), migration cost estimates, contractual lock-in periods
- Network effects indicators: User/node growth curves, cross-side engagement ratios (for platforms), marginal value per incremental user
- Proprietary data assets: Volume, uniqueness, refresh rate, and regulatory barriers to replication of core datasets
- Brand & mindshare signals: Unaided recall surveys, NPS, organic inbound as % of pipeline, share-of-search trends
- Competitive landscape: Funded competitors, recent entrants, open-source alternatives, vertical-specific substitutes
Workflow
Classify moat type(s). Map the company's advantages to one or more moat categories: switching costs, network effects, proprietary data, brand/trust, scale economies, or regulatory/IP barriers. Most durable positions combine two or more.
Score each moat dimension (1–5):
- Switching costs: 1 = commodity/easily replaced; 5 = deeply embedded system of record with >12-month migration cost
- Network effects: 1 = linear/no network value; 5 = strong cross-side effects with demonstrated viral loops
- Data assets: 1 = publicly replicable data; 5 = proprietary, continuously compounding dataset with regulatory protection
- Brand strength: 1 = no differentiation, price-driven; 5 = category-defining brand with pricing power >20% premium
- Scale economies: 1 = cost structure mirrors competitors; 5 = structural unit-cost advantage that widens with volume
Assess erosion risks. For each scored dimension, identify the most plausible threat:
- Technology shifts that reduce switching costs (e.g., standardized APIs, open formats)
- Platform leakage or multi-tenanting that weakens network effects
- Regulatory changes enabling data portability [VERIFY against jurisdiction-specific data regulations]
- New entrants with deep funding targeting the same segment
Quantify durability horizon. Estimate how many years each moat dimension remains intact under base-case and downside scenarios. Flag any dimension with <3-year durability as a material risk.
Synthesize composite moat rating. Weight dimensions by relevance to the company's specific value chain. Produce an overall durability rating (Strong / Moderate / Weak) with a 3–5 sentence rationale.
Output
Deliver a structured moat durability report containing:
- Moat classification table: Dimension | Score (1–5) | Key evidence | Primary erosion risk | Durability horizon
- Composite rating: Overall moat durability (Strong / Moderate / Weak) with weighted rationale
- Red flags: Any dimension scoring ≤2 or with a durability horizon under 3 years
- Comparison to sector benchmarks: Where the target sits vs. peer-set moat profiles (if peer data is available)
- Investor implications: How moat quality affects underwriting assumptions—specifically margin sustainability, defensible growth rate, and terminal value sensitivity
Quality Checks
- Every score must cite at least one concrete data point (metric, customer quote, or market data)—no unsupported ratings
- Confirm that NRR, churn, and expansion figures are from the same time period and definition [VERIFY cohort definitions with management]
- Cross-reference stated switching costs against actual customer interviews or churn-reason data where available
- Verify that network-effect claims reflect genuine value-per-node growth, not just user count growth
- Ensure erosion-risk analysis considers at least one funded competitor and one technology disruption vector
- Mark any dimension where data is based on management assertions without third-party validation as [VERIFY]