The Conversion Podcast
The Conversion Podcast
Podcast Description
The Conversion (a GAIN specialist) podcast.If you're into making smart decisions backed by real data, you're in the right place. We’re the team behind Conversion, a GAIN specialist, the leading CRO agency helping brands like Microsoft, Meta, Domino’s, and more make serious improvements through experimentation.What to expect here:Weekly podcast episodes: conversations with CRO experts, marketers, UX pros, and growth leaders covering A/B tests and more.Special deep-dive sessions: get the full breakdown on standout experiments, powerful frameworks like the Lift Model and Lever Framework, and insider best practices from Conversion's global team.Actionable takeaways: whether you're optimising pricing, landing pages, product experiences, or overall UX, you'll walk away with clear ideas to test in your own business.For anyone interested in marketing, business strategy, or improving CRO results, this channel is your one-stop shop for practical, experiment-driven insights.
Podcast Insights
Content Themes
The podcast focuses on key areas such as experimentation, A/B testing, user experience (UX) design, and marketing strategy, highlighting specific themes like the principle of friction in conversions and the importance of pragmatic testing approaches, with episodes including expert discussions on the Lift Model, Lever Framework, and case studies of successful experiments.
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We’re the team behind Conversion, a GAIN specialist, the leading CRO agency helping brands like Microsoft, Meta, Domino’s, and more make serious improvements through experimentation.
Join host Matt Wright with Brent Kostak and David Arbour from Adobe as they reveal how the new Experimentation Accelerator is transforming digital experimentation through AI automation, causal insights, and agentic workflows.
Learn how Adobe is helping brands scale testing velocity, uncover deeper experiment insights, and unify teams across marketing, product, and analytics. Featuring early beta results, real-world use cases, and practical advice for adopting AI-driven experimentation successfully.
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