Geoffrey Moore — Notes
Four questions [Adler frame]
Q1 — What is it about? A conceptual model explaining why B2B technology companies routinely stall between early adoption and mainstream market penetration, with a normative playbook for each of four lifecycle stages: early market, bowling alley, tornado, and Main Street.
Q2 — How is it argued? Pattern-based reasoning from observed failures and successes (Documentum, Cisco, Oracle, Microsoft, Airbnb, Uber). The argument is structural: different buyer psychographies require fundamentally incompatible selling motions; companies fail when they apply the wrong motion to the wrong stage. No empirical data cited — the model is presented as a pattern language validated by consulting experience over 30+ years.
Q3 — Is it true? The central mechanism — pragmatists will not accept a visionary as a reference — is mechanistically sound. Pragmatists optimise for risk reduction; visionaries optimise for innovation advantage; their decision criteria do not transfer. The four-playbook prescription is internally coherent. Key fragility: accurate self-diagnosis of which lifecycle stage you occupy is non-trivial; the model offers less guidance on that diagnostic than on the playbooks themselves.
Q4 — What of it? For B2B founders: the primary diagnostic question is “what stage am I in?” not “how do I improve my pitch?” The bowling alley discipline — shut the laptop, probe the problem, never demo unprompted — is counterintuitive and widely violated. PLG companies play a fundamentally different game and cannot use this playbook to cross the chasm. The model is explicitly B2B and the author acknowledges it poorly fits B2C disruption (Google, iPhone, Uber) that has dominated innovation since ~2000.
Glossary
Technology Adoption Lifecycle (TAL) — bell-curve distribution of buyers across five psychographic types: technology enthusiasts, visionaries (early market), pragmatists (mainstream), conservatives, and sceptics. Each type has distinct risk tolerance, decision criteria, and reference networks.
Chasm — the gap between the visionary early market and the pragmatist mainstream. Mechanism: pragmatists buy by peer reference; the only available references are visionaries; pragmatists reject visionary references as unreliable (visionaries leave messes, ignore consensus, make idiosyncratic decisions). Without pragmatist references, no pragmatist market forms.
Beachhead segment — the single sub-market (geography + industry + profession + use case) targeted for initial dominance. Must be big enough to matter but small enough to lead — ideally reachable at 30–50% market share within ~2 years, which triggers ecosystem formation around the leader.
Fish-to-pond ratio — the relationship between company revenue potential and segment size. Optimal: company could plausibly dominate the segment (30–50% share), making it a big fish; wrong: segment so large that even high growth rates yield negligible share, preventing ecosystem attraction.
Trapped value — the economic value locked in an incumbent inefficiency that a disruptive technology would release. Moore’s approximation: company captures ~10% of trapped value released. Rule of thumb: a $1B company requires ~$10B of trapped value.
Compelling reason to buy (CRB) — the problem-side urgency that overcomes a pragmatist’s default inertia (“if it ain’t broke, don’t fix it”). Distinct from the vendor’s compelling reason to sell. Without CRB, pragmatists remain politely non-committal — they won’t say no; they just never say yes.
Marquee customer — a well-known enterprise whose adoption provides credibility (“radiating reference”). Typically a visionary sponsor from a famous company; not necessarily in the target beachhead segment, but necessary to establish the company’s reputation before attempting the chasm crossing.
Bowling alley — sequence of adjacent market segments entered after the initial beachhead. Adjacency defined as: same customer + different use case (use customer references to enter), or same use case + different customer base (use partner references to enter). The primary expansion engine from ~$10M to ~$100M.
Tornado — rapid market expansion when a category goes horizontal: budget is established broadly and simultaneously, triggering a land-grab for market share. Ecosystem coalesces around the early leader.
Going concern — accountants’ term for a company expected to remain operating. Moore uses it as the operational definition of “crossed the chasm”: the company has an established customer base, partner ecosystem, known CAC/LTV, and can survive without further venture funding.
§ The chasm mechanism
The chasm is not a gap in product quality but a gap in reference networks. Visionaries make buying decisions unilaterally — they don’t consult peers (and actively avoid doing what their peers do). Pragmatists make buying decisions collectively — they won’t move without peer references. When a company’s only references are visionaries, pragmatists can’t use them (“that’s not my guy; he makes decisions I would never make”). The result is the junior high dance problem: everyone waits for someone else to go first.
[?] Moore attributes the original discovery of this pattern to his work at Regis McKenna consulting in the 1980s, observing companies with press-worthy early success that later vanished.
The bonfire analogy: trying to serve many segments before dominating one is “taking a match back and forth under a log” — the log won’t light. The match must be held in one place (the beachhead) until the kindling catches. Adjacency matters: if the fire starts in one room but the log is in the other room, it doesn’t work.
§ Beachhead strategy
The targeting formula: big enough to matter, small enough to lead, a good fit with your crown jewels.
Geography + industry + profession + use case — all four constraints applied simultaneously, because pragmatists only accept references from people in identical situations. A dentist’s reference is useless to a software designer; a German buyer won’t trust an American reference. The segment must allow the company to reach 30–50% market share within ~2 years, triggering partner ecosystem formation (ecosystems form around segment leaders, not challengers).
The visionary marquee customer is not the beachhead. Visionaries (a) did bespoke work that doesn’t generalise, and (b) actively worked against their competitors — they don’t want to help the industry they were trying to leapfrog.
The bowling alley extends the beachhead via adjacency. Canonical example: Documentum began in pharma (500,000-page FDA submissions), moved to petrochemicals (standard operating manuals + regulatory compliance), then oil and gas (lease document management), then Wall Street (general paper management). Each move used existing references from the adjacent segment.
§ Four playbooks
The four lifecycle stages each demand a distinct and mutually incompatible selling motion:
| Stage | Buyer state | Budget | Selling motion |
|---|---|---|---|
| Early market | ”We believe what you believe” | Must create budget | Project model; executive visionary sponsor; magic ingredient demo |
| Bowling alley | ”We need what you have” | Budget exists; must redirect | Solution model; shut the laptop; probe the problem domain |
| Tornado | ”We want what they have” | Budget established broadly | Land grab; standard product; coverage-based sales |
| Main Street | Commoditised need | Budget with your name on it | Expand; services innovation; PLG works here |
Applying the wrong playbook inverts the result: qualifying on budget before a sales call (correct on Main Street) wastes time in the early market or bowling alley where no budget exists. Bringing a demo to the bowling alley signals you’re not listening.
The common failure pattern: “I have been successful with this playbook, the market has moved to the next phase, but I’m really good at the old playbook, so I want to stay with it.”
§ Compelling reason to buy
The bowling alley sell is inverted: the entrepreneur’s job is to find a customer for whom the problem is severe enough that they’ll overcome their own organisation’s risk-aversion to act. Useful diagnostic: the sponsor must already have delivered the problem to everyone in the room, have received inadequate answers, and be under pressure from above (“my boss’s boss knows my name — that’s a very bad thing”).
Seven deadly sins of crossing the chasm (abbreviated):
- Discounting — signals low commitment; doesn’t reduce risk (which is the actual barrier); analogised to “heart surgery 9.99 this Saturday only”
- Target customer mix-up — wrong persona (end user instead of economic buyer) or wrong use case; the target customer controls access to the trapped value
- Compelling reason confusion — improving the demo (CRS) when the barrier is CRB; pragmatists encourage another meeting but never commit
- Segment too broad — too large a pond; no ecosystem forms; no reference network accumulates
For value pricing: pragmatists are not looking for discounts; they want commitment to the problem. The vendor’s correct framing: “We’re not leaving until you’re satisfied.” Discounting on a risk-bearing decision may increase perceived risk.
§ Product-led growth and the chasm
PLG cannot cross the chasm. The bowling alley requires high-risk, federated decision-making by a pragmatist economic buyer who won’t act without peer references — consumer-grade adoption mechanics can’t deliver either. Moore’s analogy: “It’s like saying you can cure Covid by putting vaccines out in public places.”
What PLG does well: the land-and-expand motion on Main Street, where the follow-on purchase has very low risk and there is no chasm. Atlassian’s long PLG run worked because the category was already established; eventually every PLG company builds a sales team, because enterprise decisions remain bowling-alley or tornado plays.
Enterprise salespeople are not good chasm crossers: they’re trained for horizontal coverage and budget-qualified calls. Crossing the chasm requires a diagnostic, domain-expert profile — closer to a sales engineer than a quota carrier.
§ Evolution of the model
Moore acknowledges the model is optimised for B2B markets with federated high-risk buying decisions. It poorly describes:
- Consumer computing (Google, Apple, Uber, Airbnb): B2C disruption emerged around 2000, accelerated by the iPhone, and is now a primary site of innovation
- Digital transformation broadly: the model wasn’t designed for service-layer disruption (taxi → Uber) of commodity products
Cross-wiki links: April Dunford on Sales Pitch corroborates the pragmatist risk-aversion thesis (“buying software is harder than selling it”). April Dunford on Product Positioning provides complementary tactics for the bowling alley positioning formula. Reference Customer connects to the marquee customer / radiating reference concept.
See also: Technology Adoption Lifecycle, Product Positioning, Reference Customer.