In B2B technology, the best product rarely wins outright. The winners are the organisations that combine strong product with an equally strong — and equally thoughtfully designed — go-to-market strategy. Yet go-to-market is consistently the area where technology companies underinvest, underplan, and underperform relative to their product ambitions.
This is particularly acute in the early stages of growth, where the founding team's natural fluency is in the product and the tendency is to treat go-to-market as something that can be figured out after the product is ready. It cannot. By the time the product is ready to launch, the go-to-market engine should already be built.
What Go-to-Market Actually Means
Go-to-market is not a synonym for marketing, and it is not the same as sales. It is the integrated strategy that connects a product's value proposition to the customers who will find it most compelling, through the channels and motions that will reach those customers most efficiently, with the messaging that will resonate most powerfully.
A complete go-to-market strategy has three interconnected components: a positioning framework, a channel strategy, and a sales motion. Most B2B technology companies have something approximating all three. Very few have all three working in genuine alignment — and the misalignment between them is where most GTM value gets lost.
Positioning: The Foundation Everything Else Is Built On
Positioning is the act of deciding, deliberately and specifically, what your product is for, who it is for, and why it is the best choice for that specific customer facing that specific problem. It is not a tagline. It is not a value proposition. It is a strategic choice — and it requires making trade-offs that most technology founders are deeply reluctant to make.
The reluctance is understandable. A broad positioning — "a platform for teams of all sizes in any industry" — preserves optionality and avoids the discomfort of explicitly excluding potential customers. But broad positioning is weak positioning. It generates messaging that resonates with no one specifically and converts at rates that reflect that lack of resonance.
"Good positioning is an act of discipline. Every customer you explicitly include in your target is another customer you are implicitly excluding. The ones who choose you will do so because of that clarity, not despite it."
Channel Strategy: Where and How You Reach Your Buyers
B2B technology buyers are reached through a finite and relatively well-understood set of channels: direct sales, channel partners, community and content, events and conferences, paid acquisition, and increasingly, product-led growth. The right channel mix depends on your buyer's characteristics — their size, their sophistication, their existing relationship with your category, and how they make purchasing decisions.
The mistake most technology companies make is not choosing the wrong channels — it is choosing too many channels before they have proven effectiveness in any of them. Channel concentration is a feature, not a bug, in the early stages of GTM build. Depth in one channel that works is worth far more than presence across five channels that collectively generate noise.
Sales Motion: Matching the Motion to the Market
The sales motion — how you actually sell — needs to match both your product's characteristics and your buyer's expectations. Enterprise sales motions, with their long cycles, multiple stakeholders, and POC-heavy processes, are appropriate for complex, high-ACV products sold to sophisticated buyers. Product-led growth motions, with their self-serve onboarding and usage-based expansion, are appropriate for products with fast time-to-value and individual users as the initial adopter.
These motions require different teams, different tooling, different compensation structures, and different metrics. Running the wrong motion for your market is one of the most reliable ways to underperform on revenue despite having a product that the market genuinely wants.
The Repeatable Revenue Problem
Most B2B technology companies generate their first meaningful revenue through founder-led sales. The founder has deep product knowledge, strong network relationships, and the credibility that comes from having built the product. This is an excellent way to test go-to-market hypotheses, learn about buyer needs, and generate early reference customers.
It is not a scalable go-to-market strategy. At some point — typically around the first few million in ARR — the company needs to build a go-to-market motion that generates repeatable revenue without being dependent on the founder's presence in every deal. This transition is where many B2B technology companies stall, and it is almost always a go-to-market problem rather than a product problem.
Building repeatable revenue requires codifying what the founder knows intuitively: which buyers are the best fit, what problems they are solving, what objections they raise and how to address them, and what the journey from first contact to signed contract typically looks like. This knowledge must be captured, systematised, and transferred to a sales and marketing team that can execute it without the founder in the room.
Measuring What Matters
B2B go-to-market generates a proliferation of metrics — pipeline coverage, win rates, CAC, LTV, NRR, MQL-to-SQL conversion, and dozens of others. Not all of them matter equally at every stage, and tracking all of them creates the illusion of visibility without the reality of insight.
The metrics that matter most are the ones that tell you whether your go-to-market machine is working at the input that constrains you most. If pipeline generation is the constraint, you need leading indicators of pipeline quality and quantity. If conversion is the constraint, you need visibility into win rates by segment, deal stage, and sales rep. If expansion is the constraint, you need NRR and the usage data that predicts it.
The companies that build effective go-to-market engines are not the ones tracking the most metrics. They are the ones that have identified the two or three metrics that tell them whether the machine is working — and have built the discipline to manage by them.