GTM Distribution
How do you turn a valuable offer into one focused distribution cycle that can teach you what to do next?
GTM Distribution is a practice for when you have something valuable to offer but no closed route from a reachable audience to a better next decision. It composes the eight existing marketing jobs. It is not a ninth marketing capability.
Changes my mind: A venture repeatedly produces better beneficiary outcomes and clearer decisions without connecting these jobs in a closed route.
Read the Distribution principle for the doctrine: distribution carries value to a beneficiary; attention is not the value. Use the GTM Strategy instrument when the market, offer, positioning, or commercial route is still unsettled. This page starts once you can frame a bounded distribution bet.
The closed route
| Stage | Decision and output | Existing process to use |
|---|---|---|
| Frame | Name one audience, valuable outcome, bet, constraint, and review date. | Define an ideal customer profile |
| Wedge | Choose one primary channel for this cycle and park the alternatives. | Use the ICP's reachable situations; this is an orchestration decision, not a new capability. |
| Path | Make discovery, understanding, verification, action, and handoff possible. | Optimise agent intent and enable agent-readable conversion |
| Sequence | Deliver a short, repeatable run of useful material with one next action. | Execute a content calendar |
| Activation | Admit only the compounding branches the bet actually needs. | Position protocol depth, design loyalty, or distribute through ecosystems |
| Response | Read real questions, replies, referrals, and objections; give material signals a useful human-owned next step. | Return to the relevant process above rather than inventing another marketing job. |
| Learning | Compare the intended outcome with observed consequences and recommit, change one variable, pause, or stop. | Use ordinary source tracking; add onchain attribution only when a consented onchain outcome matters. |
Loyalty, ecosystem, protocol-depth, and onchain work are conditional. Mark an
unused branch not applicable; do not perform it for completeness.
Human edge
A human owns the beneficiary, promise, channel commitment, public claims, privacy boundary, spend, consequential replies, and next-cycle decision. AI can gather evidence, compare channels, draft variants, inspect discoverability, classify signals, and prepare a review. It should expose sources, confidence, and uncertainty. It must not manufacture customer evidence, publish, spend, contact people, or infer private identity without authority.
Do it now
Set a 30-minute timer and write one page:
- Frame: “For
[audience]in[situation], we believe[useful value]delivered through[one channel]will lead to[observable action]by[review date].” - Path: list the exact steps from first discovery to the action. Circle the first missing or unowned step.
- Sequence: name three useful contributions you can deliver before asking for commitment.
- Response: name the person who will read and answer material signals, and the response cadence.
- Proof: name one outcome signal, one source signal, and the decision each could change.
Your output is a bounded first-cycle brief, not a complete campaign.
Proof test
Ask someone outside the work to read the page. They should be able to identify the audience, value, one channel, next action, owner, review date, and evidence that could stop the cycle. After the cycle, retain observations separately from interpretation and record:
intent → action → proof → consequence → learning → next setpoint
Reach, impressions, citations, wallet connects, and sign-ups are route signals. They prove the intended outcome only when the outcome itself is observed.
Abort conditions
Stop and reframe when:
- no reachable audience or valuable beneficiary outcome is named;
- more than one primary channel remains;
- the path relies on unsupported claims, unowned handoffs, or non-consensual tracking;
- the sequence is only promotion;
- responses could create commitments without human review;
- the review cannot distinguish observation, attribution confidence, and interpretation.
Failure modes
Adding channels before one wedge returns evidence disperses attention. Treating route signals as outcomes rewards reach without value. Automating consequential responses or identity linkage removes the human authority the route depends on.
Learning return
If the route produces evidence, update the stage that evidence actually challenges. Do not rewrite the whole strategy because one post underperformed. If nothing changed and nothing was deliberately preserved, the loop did not close.
Context
- Distribution principle — distinguish carrying value from creating attention
- GTM Strategy instrument — settle the market and offer before running this practice
- Marketing Processes — inspect the eight jobs this route composes
- Marketing Performance — choose gauges that can change the next decision
Questions
Next question: Which single assumption would most change your channel commitment if it proved false?
- Which stage currently has no accountable human?
- Which signal would make you stop rather than add another channel?