Moat Mapping
Updated July 21, 2026
Cataloging each competitor's structural advantages to understand which positions are durable vs. vulnerable.
Also known as: competitive moat analysis, moat analysis
Moat mapping is the systematic exercise of cataloging, for each competitor in a set, the structural advantages that protect its profits from being competed away, and rating how durable each one is. Rather than asking whether a rival has a moat in the abstract, it asks which moats, of what kind, and how strong, so that a competitive intelligence team ends up with a comparable picture across the whole competitive set. The output is a matrix of moat sources against strength ratings that shows where rivals are defensible and where they are exposed.
The concept draws on two established bodies of work. Morningstar's economic moat framework, popularized by Pat Dorsey and used in Morningstar's equity research, identifies a small number of recurring moat sources: network effects, intangible assets such as brand and patents, cost advantage, switching costs, and efficient scale. Hamilton Helmer's "7 Powers" (2016) enumerates a related but distinct set of durable strategic powers: scale, network, counter-positioning, brand, cornered resource, process, and binding (switching costs). Moat mapping is the CI practitioner's operational overlay on these frameworks: it takes the catalog of moat types and applies it, rival by rival, to produce an artifact a team can act on.
The exercise is used by competitive intelligence functions inside multi-rival markets, especially in B2B SaaS, where several competitors may each lean on a different moat and where the durability of those moats shifts as categories mature. The point is not to rank companies from strongest to weakest, but to surface which competitors are stuck where, which advantages are eroding, and which positions a shift in the market could open.
The moat sources that get mapped
A moat map starts from a fixed taxonomy of sources rather than a free-form brain dump. The Morningstar taxonomy is the most common starting point: network effects, intangible assets, cost advantage, switching costs, and efficient scale. Helmer's 7 Powers adds counter-positioning (entering with a model the incumbent cannot copy without cannibalizing itself) and cornered resource (preferential access to a scarce asset such as a proprietary dataset, talent pool, or license).
In B2B SaaS the practically relevant subset is narrower. Network effects and data network effects appear where usage improves the product. Switching costs take the form of integration depth, data gravity, and embedded workflow. Scale surfaces as go-to-market efficiency and platform breadth, brand as category-defining positioning. Regulatory or cornered-resource moats appear in verticals like healthcare or financial data. Map only the sources that plausibly apply to the category; padding the matrix with sources no rival actually exploits produces a grid that looks rigorous but says nothing.
Running a moat-mapping exercise for B2B SaaS
List the rivals down the rows and the relevant moat sources across the columns. Rate each cell on a consistent scale: none, weak, moderate, strong, or durable, with a one-line evidence note citing the public signal that supports the rating. A switching-cost rating of moderate should point to a specific integration, certification, or data-lock-in signal; a network-effects rating of strong should point to the actual mechanism by which usage compounds value.
Source the cells from observable evidence: pricing and packaging pages, job postings that reveal where a rival is investing, partner and integration directories that reveal ecosystem reach, product documentation that reveals integration depth, funding and customer logos that reveal scale, and patent or trademark filings that reveal cornered-resource claims. The CI artifact is the rated matrix plus a short narrative per rival explaining which moats are durable, which are eroding, and what a competitor would have to do to attack them. A refresh cadence of one or two quarters is usually right: faster than the moats actually move, but slow enough to spot real erosion.
Moat mapping vs. moat analysis and barriers-to-entry
Moat mapping is deliberately narrower than two adjacent concepts. A single-company moat analysis asks whether one firm has a durable advantage and how to extend it; moat mapping applies the same lens across a set of rivals to make them comparable, and is run by a CI function rather than a corporate strategy team. Cross-link the single-company concept when the question is inward-looking.
Barriers-to-entry, in contrast, is structurally outward-looking: it describes what stops new entrants from getting into the category at all. A moat map that only captures barriers to entry will miss the advantages incumbents hold over each other. The two concepts overlap where a rival's moat is also what keeps new entrants out (scale and brand often play this dual role), but they are not interchangeable. Use barriers-to-entry analysis when the strategic question is whether new firms can enter; use moat mapping when the question is which incumbent is best positioned relative to the others.
Common mistakes and limitations
The most common failure is self-serving rating: a PMM who owns a rival's competitive profile will rate that rival's moats as stronger than the evidence supports, and the inverse for rivals a sales team beats often. Anchoring each rating to a cited public signal, and having a neutral CI owner score the full matrix, limits the drift.
A second failure is over-counting switching costs. Integration depth and data gravity are real, but a switching-cost rating should reflect what a buyer would actually have to redo to switch, not the vendor's install base. A third is treating the map as static: a moat rated durable today can erode in a single category shift, such as a platform vendor entering the space or a new architecture removing integration lock-in. The map is a snapshot that is only useful if it is refreshed on evidence and not on memory.
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Frequently Asked Questions
What is moat mapping?
It is a competitive intelligence exercise that catalogs, for each competitor in a set, the structural advantages protecting its profits and rates the durability of each. The output is a matrix of moat sources (network effects, switching costs, scale, brand, data, regulatory) against strength ratings, so a team can see at a glance where rivals are defensible and where they are exposed. It builds on Morningstar's moat framework and Helmer's 7 Powers.
How is moat mapping different from a moat analysis?
A moat analysis typically evaluates a single company's durable advantage and how to extend it. Moat mapping applies the same lens across a whole competitive set to produce a comparable view, and is usually run by a competitive intelligence function rather than a corporate strategy team. Where moat analysis looks inward at one firm, moat mapping looks sideways across rivals.
How is moat mapping different from barriers-to-entry analysis?
Barriers-to-entry analysis asks what stops new firms from entering a category. Moat mapping asks which existing incumbent is best structurally positioned relative to the others. The two overlap where an incumbent's moat also blocks new entrants, such as scale or brand, but they answer different questions: barriers-to-entry is about who can get in; moat mapping is about who is best positioned once in.
What moat sources should a B2B SaaS moat map include?
The practically relevant subset for B2B SaaS is: network and data network effects; switching costs (integration depth, data gravity); scale (go-to-market and platform breadth); brand (category-defining positioning); and a cornered resource such as a proprietary dataset or license. Include only sources that plausibly apply. Loading the grid with moats no competitor actually holds yields a map that says nothing.
Who uses moat mapping and how often?
Competitive intelligence teams inside multi-rival markets, especially B2B SaaS, use the exercise to brief strategy and product leadership on where rivals are defensible and where they are eroding. A one- or two-quarter refresh cadence is usually right: more frequent than moats actually move, but slow enough to spot real erosion in switching costs, network effects, or scale advantages.
Related terms
A durable structural advantage protecting a business: network effects, brand, patents, cost advantages, switching costs.
Barriers to EntryStructural obstacles making it difficult for new competitors to enter: scale, capital, switching costs, regulation, brand.
Sustainable Competitive AdvantageCompetitive advantage that persists because competitors cannot easily replicate or neutralize its source.
VRIO FrameworkEvaluates whether resources are Valuable, Rare, costly to Imitate, and Organizationally supported, determining competitive advantage durability.
Four Corners AnalysisExamines a rival through four lenses (drivers/motivations, assumptions, current strategy, and capabilities) to predict future moves.
Network EffectsWhen a product becomes more valuable as more people use it. Can be direct (same-side) or indirect (cross-side).
First-Mover AdvantageCompetitive benefit of being the first entrant: brand recognition, switching costs, resource preemption. Often overestimated.
PositioningThe strategic process of establishing a brand's place in the customer's mind relative to competitors. Defined by Ries and Trout (1981).