Go-to-market,
from first principles

“The aim of marketing is to know and understand the customer so well the product sells itself.” — Peter Drucker

GTM Basics is a free, open explainer of go-to-market from first principles — ICP, motions, funnel, and the economics that make growth repeatable.

Part of the GTM World Model. Every concept links to the model's terms, equations, and company teardowns.

Written for founders and operators learning how go-to-market actually works — clear, rigorous, and citable.

Start here

  1. What is GTM?

    See the decisions a go-to-market system has to connect.

  2. Customer and problem

    Define the outcome buyers need and the accounts that fit.

  3. Positioning

    Choose a credible reason to buy you over the alternative.

  4. Motion

    Test how buyers purchase against the cost of reaching them.

  5. Activation and retention

    Follow value from first use to continued use.

  6. Economics

    Check what a customer contributes against the cost to acquire and serve them.

v3.3 essentials

  1. Buying groups

    A user, champion, approver and budget owner may be different people. Map who influences the decision and what each needs to accept.

  2. Retention cohorts

    Follow customers who started together through activation, repeat use and renewal. An aggregate rate can hide a weakening new cohort.

  3. Contribution economics

    Compare revenue with the costs to acquire, onboard and serve a customer on the same cohort and time basis; keep cash timing visible.

  4. AI agents: costs and permissions

    Count inference, data, review, failures and maintenance per accepted outcome. Give agents only the actions, data access and spend authority the task permits.

See it in practice

Fictional worked example

One GTM plan, worked through

Follow a software company from buyer problem to positioning, motion, activation, retention and contribution. See the assumptions, trade-offs and finished plan.

Read the example →
Evidence guide

How to judge a GTM claim

Tell an accounting identity, an assumption, an observed relationship and a causal finding apart — and know which decision each can support.

Read the guide →

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