This course equips participants with the skills to design, execute, and interpret A/B tests effectively, while highlighting the common pitfalls of relying on attributed data for decision-making. Through practical guidance on identifying ideal use cases and structuring well-formed experiments, attendees will learn how to draw confident, data-driven conclusions from their results.
Presented By:
Patrick Kennedy
Head of Global Scaled Measurement at Pinterest
Patrick Kennedy is a marketing scientist with 15 y brand ears experience helping brands turn rigorous measurement into growth—across and performance, and from SMBs to Enterprise. Today he leads Global Scaled Measurement at Pinterest, where his team develops measurement thought leadership, partners with product to validate new ad solutions, and builds the education and tooling that make effective decisions repeatable at scale.
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