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33 minutes
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英語
アメリカ合衆国
6 エピソード
2025年11月3日から
episodic

最新エピソード 🔗

Most experimentation programs don't stall because the stats are wrong. They stall in the room when "the data says so" isn't enough to get a marketer to fix tracking, free up engineering time, or talk a CEO out of shipping a redesign with no test plan. This episode is about the part of the…

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What separates experimentation programs that become strategic advantages from those that never make it beyond a handful of A/B tests? According to Lucia van den Brink, it starts with ownership. As founder of The Initial, Lucia helps companies build experimentation programs from the ground up but un…
What does it really mean to run SEO as an experiment instead of a checklist? In this episode, we’re joined by Will Critchlow and Mat Reiss to explore the evolution of SEO and AEO/GEO A/B testing — from enterprise-level experimentation frameworks to a super simple way for any team to get started: ti…
What’s going to happen with the adoption and development of feature flagging tools in 2026? Just ask Aaron Silverman. As an engineering manager at Datadog, Aaron has spent the past year speaking at conferences, meeting engineers, and talking with teams around the world about how they actually use f…
What happens when data science meets marketing?  Just ask Sundar Swaminathan. As the former Head of Brand Marketing Data Science at Uber, he measured and optimized over $1 billion in marketing spend across campaigns. Now he’s taken his career in a slightly new direction as a “marketer with some dat…
Imagine a team where each stage of the customer funnel has its own growth engineer experimenting fast, guided by data, and powered by AI. Today’s episode dives into how Kameron Tanseli, Lead Growth Engineer at Fyxer AI, blends code, marketing, and curiosity to drive high velocity growth. Tanseli sh…
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免責: このページに埋め込まれているポッドキャストとアートワークは Datadog からのものであり、その所有者の所有物であり、Listen Notes, Inc. と提携または承認されていません。