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Patricia
Bleiker
Go-to-Market Consultant & Founder
GTM Point
As an electrical engineer by training and a technical account manager by practice, Patricia has found her passion in product marketing - especially in fast-paced and energetic B2B SaaS companies. With over a decade of experience at the interface between product/engineering and marketing/sales of enterprise platform solutions, she knows what it takes to build and operationalize a successful go-to-market. Throughout her career in companies like Swisscom, Open Systems and Scandit, Patricia has learnt that good collaboration of cross-functional teams determines success. Hence, she specialised in creating a collaborative environment across functions: be it due to her Swiss heritage, as a woman in tech or because she loves diversity in general, especially at sports - Patricia stopped counting how many sports she already tried or still actively pursues...
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29 May 2026 11:15 - 11:45
Market sizing that actually drives decisions: Turning analysis into B2B GTM focus
Market sizing is often treated as a box to tick, but when done well, it can be one of the most powerful inputs into B2B GTM strategy. When done poorly, it becomes a rabbit hole that eats time without changing a single decision. In this session, you’ll learn how to use market sizing with intent, focusing only on the inputs that drive prioritisation, investment decisions, and GTM focus. The emphasis is on speed and usefulness, not perfect numbers or exhaustive models. We’ll cover how to choose the right sizing lens for the decision you’re making, avoid unnecessary depth, and turn sizing outputs directly into actions like account segmentation, prioritisation, and value modelling. Key takeaways - How to use market sizing to inform real GTM decisions, not just create slides - When to use different sizing approaches depending on the question you’re trying to answer - How to avoid over-investing time in sizing work that won’t change outcomes - Practical ways to turn sizing insights into segmentation, prioritisation, and value models