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B2B SaaS GTM Strategy, Marketing & Revenue Infrastructure

GTM models that turn demand into reliable pipeline and repeatable growth

For B2B SaaS companies where pipeline, CRM data, ownership, and measurement no longer align as the business scales.

I design coherent GTM infrastructure around buyer progression, ownership, CRM, data and measurement, so Marketing and Sales operate from the same revenue model and leadership can trust the numbers behind growth.

From Revenue Marketing and lifecycle to attribution, integration requirements and AI readiness, the focus is on closing the gaps between strategy, systems and execution that make growth harder to manage.

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When go-to-market infrastructure starts to fall apart, it rarely looks like an obvious operating-model problem.

It usually shows up as a pipeline number nobody quite believes, a lifecycle that means different things to Marketing and Sales, an attribution model that cannot settle the budget argument, or a CRM full of technically valid data that is commercially useless.

As companies grow, those inconsistencies become expensive. My work starts where they begin to affect growth: demand, buyer progression, ownership, CRM, data and measurement.

The hidden cost of fragmented GTM

Revenue targets, Marketing, Sales, CRM and measurement are usually owned separately. The customer has the inconvenient habit of experiencing them as one thing. So does the P&L.

I design the operating logic across:

  • buyer progression and lifecycle

  • Marketing and Sales ownership

  • pipeline and qualification

  • CRM and data requirements

  • attribution and measurement

  • integrations and AI readiness

The GTM has to work as one business

Marketing is capable of carrying far more commercial accountability than many operating models give it.

If the business expects Marketing to contribute to revenue, it should also give the function meaningful ownership of demand, pipeline contribution, buyer progression, investment decisions and the data needed to judge performance.

That means moving beyond campaign reporting and giving Marketing a defined role inside the revenue model.

Accountability works better when it comes with ownership, influence and evidence.

Give Marketing the commercial mandate

A CRM encodes how the business thinks buyers move. Routing encodes ownership. Integrations decide which information survives between systems. Attribution depends on what was captured upstream.

So when the data stops making sense, the answer is not automatically another tool.

Sometimes the technology is wrong. Sometimes the commercial logic underneath it is.

The commercial logic behind CRM

AI can improve scoring, forecasting, routing and decision support. It can also automate inconsistent definitions, learn from unreliable CRM data and make fragmented processes faster.

The question is not simply where AI can be added.

It is whether the underlying GTM is good enough for AI to improve it.

AI inherits the infrastructure underneath it

The Real Pipeline

I write about the GTM problems that look simple on the surface and usually are not.

I write about pipeline, buyer progression, CRM, attribution, ownership, measurement and the growing role of AI in commercial decision-making.

The value is practical: you should come away with a clearer view of what is actually causing the problem, which evidence matters, what is worth changing and what the business should do next.

The strongest ideas become diagnostics, decision tools and operating models that teams can apply to their own GTM.

Read The Real Pipeline

If you’re working on a GTM problem, building a senior Marketing or Revenue function, or simply want to compare notes, get in touch.

weronika@weronikakuzior.com

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