GTM engineering is the practice of building and operating a company's revenue system as technical infrastructure: the data model, enrichment, scoring, routing and automation that decide who gets sold to, when, and with what message. It treats go-to-market as a system to be engineered rather than a set of tools to be administered.
GTM as code is the practice of defining a revenue engine in version-controlled code rather than in a vendor's interface: data models, enrichment, scoring, routing, plays and AI agents declared in files, reviewed as diffs, and deployed with one command. It applies the infrastructure-as-code pattern to go-to-market.
Revenue orchestration is the decision layer of a go-to-market stack: the part that turns customer data into governed action by enriching a record, scoring it, deciding who owns it, and triggering what happens next. It is distinct from a CRM, which stores state, and from a sequencer, which sends messages.
Waterfall enrichment is calling several data providers in sequence for the same field, stopping at the first that returns an acceptable answer. It raises coverage above what any single vendor reaches while keeping cost down, because the expensive provider is only called when the cheap one fails.
Lead routing is deciding which person or team owns a new record and assigning it to them automatically. It covers matching the record to an existing account, applying territory and capacity rules, and handing off fast enough that the owner can act while interest is still live.
Reverse ETL is the practice of moving data out of a warehouse and into the operational tools that act on it, such as a CRM, an ad platform or a sequencer. It is the opposite direction to a normal ETL pipeline, which pulls data into the warehouse for analysis.
Identity resolution is matching records that refer to the same real person or company across systems that identify them differently, then deciding which values to trust. It is what turns rows from a CRM, a product database and several enrichment providers into one account or contact.
Intent data is a signal that an account may be researching a purchase, inferred from behaviour such as content consumption, review-site activity or search patterns. It is probabilistic: it suggests an account is in market, and it does not tell you who is buying or when.
A product-qualified lead is a user or account that has reached a usage threshold suggesting they are ready for a sales conversation, based on what they did in the product rather than on a form they filled in. Examples are hitting a plan limit, inviting several colleagues, or using a feature associated with paid accounts.
Signal-based selling is triggering outreach from an observed event rather than from a static list: a funding round, a job change, a technology adoption, a spike in product usage. The signal supplies both the timing and the reason for the conversation.
Total addressable market is the full set of accounts that could plausibly buy a product. In go-to-market operations it is a working list of real companies with the attributes that make them qualified, not the revenue figure the same term means in a fundraising deck.
Revenue operations is the function that runs and governs the commercial process end to end: the systems, data, forecasting, territory design and reporting shared by marketing, sales and customer success. Its charter is running the revenue process, as distinct from building new revenue machinery.
Speed to lead is the elapsed time between someone raising their hand and a qualified human responding. It is measured from the prospect's action rather than from when the record reached the CRM, which is the number most teams accidentally report.
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