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Kate Minogue

Fractional CPO and AI advisor who runs the AI Leadership Lab and advises consumer and ad tech companies; previously worked in marketing measurement at Meta and focuses on AI product strategy and data dependencies.

Top 3 podcasts with Kate Minogue

Ranked by the Snipd community
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21 snips
Oct 29, 2024 • 54min

Season 4, Episode 9: The current state of app marketing analytics (with Kate Minogue)

In this engaging discussion, Kate Minogue, a seasoned fractional CMO and former Head of Marketing Science at Meta, shares her expertise on app marketing analytics. She emphasizes the importance of understanding marketing analytics as a foundation for app developers. Topics include optimizing user engagement through strategic 'optimization moments,' channel diversity for effective advertising, and the evolving role of fractional CMOs in helping startups achieve sustainable growth. Kate also reevaluates the significance of Lifetime Value in a shifting market landscape.
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Nov 14, 2024 • 1h 18min

Episode 02: Leveraging both big and small data to truly understand customer behavior with Kate Minogue

In this conversation, Kate Minogue, an AI and data science expert previously with Meta and the Bank of Ireland, shares her insights on the evolution of customer behavior analysis. She delves into the importance of a customer-centric approach using both big and small data. Kate debunks common myths about AI, emphasizing its historical context and the delicate balance between technology and human intuition. The discussion also covers AI's ethical implications, the necessity for data literacy, and the role of empathy in sales and marketing strategies.
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Oct 14, 2025 • 51min

Season 6, Episode 13: MDM Mailbag #5 (with Kate Minogue)

In this engaging conversation with Kate Minogue, a seasoned fractional CPO and AI advisor, listeners dive into the intricate world of fractional executive roles. Kate shares insights on ad monetization opportunities for AI apps and discusses the critical need for defensible moats in a rapidly evolving tech landscape. She highlights essential capabilities for optimizing AI-native products and stresses the importance of external expertise for startups. With practical negotiation tips and a look at the future of ads in AI applications, this discussion is packed with valuable takeaways.

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