THE SHORT ANSWER
Product-market fit describes evidence that a defined market values the product enough to adopt, use or pay for it. GTM fit describes evidence that a company can reach suitable customers, communicate value, convert them, activate them and retain them through a repeatable motion. Both can vary by segment, use case, channel and time.
Ask two different evidence questions
| Dimension | Product-market evidence | GTM evidence |
|---|---|---|
| Value | The outcome matters and use continues | The promise is understood before use |
| Access | Suitable users exist | A channel can reach them |
| Conversion | Commitment reflects value | The buying path works |
| Experience | The product delivers | Onboarding reaches first value |
| Economics | Value may support willingness to pay | Acquisition and delivery can support the model |
A useful product can still fail to travel
Customers may not recognize the category, find the product, trust the provider, understand the offer, complete purchase or succeed during setup. These are different problems from weak underlying value and require different experiments.
Strong distribution can produce initial conversions, but it cannot create durable retention when the product does not deliver a meaningful outcome.
Treat fit as evidence with boundaries
Evidence from one early-adopter segment does not automatically transfer to another segment, country, price, channel or use case. Record where evidence came from and which assumption it supports.
- Who adopted and why
- What commitment they made
- Whether they reached value
- Whether use or purchase repeated
- How they were reached
- What human effort was required
Evidence & context: Strategyzer
Locate the broken link
If qualified prospects decline, inspect problem priority, positioning, offer and trust. If buyers fail to use the product, inspect activation and onboarding. If activated customers leave, inspect delivered value and retention.
Evidence & context: Google Analytics Help
Sources & further reading
- Value Proposition Canvas
Strategyzer. The official framework relates a specific customer segment's jobs, pains and gains to a designed value proposition. Fit remains a hypothesis until supported by observed behavior.
- Designing strong experiments
Strategyzer. Practitioner guidance on explicit hypotheses, relevant participants and well-designed artefacts. Experiment quality and interpretation still depend on context.
- Life cycle collection
Google Analytics Help. Official product documentation organizing reports from acquisition through engagement, monetization and retention. It is one analytics implementation, not a complete GTM measurement model.
Examples and exercises are illustrative unless attributed to a source. No independent expert review is claimed.
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