About this webinar
The GTM teams pulling ahead aren't just sending more emails or making more dials. They're using modern machine learning and first-party data to predict the dollar value of every account in their market - and using that to drive where they spend time, how they prioritize outreach, and which channels they use to engage.
Join Harrison Rose (CEO, Goodfit) for a tactical session on how to move beyond gut feel and generic scoring to build a data-driven picture of account value across your entire market - before you even speak to them.
What you can expect
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How to classify your entire market by expected value: Understand how to use classification models and first-party data to assign expected dollar values to accounts, without relying on generic intent signals.
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Matching expected value to execution: Learn how expected value gives clarity into which GTM channels work for each account, with real examples of how this changes day-to-day execution.
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How to balance automation with human judgment: Explore how top teams are using AI to support better decisions without losing the critical thinking and experience that drive results.
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A practical framework for getting started: Walk away with a clear understanding of what data you need (first-party and third-party), how to build feedback loops from wins, replies, and touchpoints, and how to operationalize this without a data science team.
Who is this session for?
CROs, VP Sales, and Revenue Operations leaders who are tired of brute-force outbound and looking for a smarter, more predictable way to allocate their team's time and resources across their market.
Sponsored by
