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SaleSage Podcast

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

Nov 14, 2024
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.
01:17:55

Episode guests

Podcast summary created with Snipd AI

Quick takeaways

  • Understanding customer behavior through big and small data enables businesses to tailor strategies for optimizing customer interactions effectively.
  • Addressing misconceptions about AI, such as its perceived novelty and universal applicability, fosters informed discussions on its diverse capabilities and limitations.

Deep dives

Building a Customer-Centric Approach

Understanding customer behavior is crucial for developing a customer-centric approach. The concept of creating a contextual baseline involves assessing what typical customer actions are versus how specific customers engage differently. Utilizing both big data and small interactions can provide insights into these comparisons, allowing businesses to tailor their strategies. By looking up and around at customer patterns, companies can refine their operations to better meet customer expectations.

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