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AI-Powered Customer Success & Predictive Analytics with Arun Balakrishnan and Preetam Jinka of FunnelStory | Episode 057

The Digital CX Podcast · 2024-06-18 · 53 min

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Topics in this episode

Customer successdigital customer successFunnelStoryarun balakrishnanpreetam jinka

Episode notes

Preetam Jinka and Arun Balakrishnan , co-founders of FunnelStory , join the podcast to discuss how we’re just scratching the surface with AI and machine learning. They chat with Alex about how FunnelStory is revolutionizing customer success strategies, enabling teams to predict churn, optimize user engagement, and drive revenue growth through data-driven insights. Additionally, Arun & Preetam share their own insights on A.I. and how Product teams best work with Customer Success. Chapters: 04:35 - Arun's background in cybersecurity and product managemen 05:25 - How Preetam got started in AI and data engineering 14:00 - The difference between AI and machine learning 18:10 - Some practical applications of AI in customer success 21:14 - An overview of the FunnelStory platform 24:26 - Predictive and prescriptive elements 27:46 - Product telemetry and customer insights 30:26 - Collaboration between product and customer success teams 33:11 - Innovative uses of predictive analytics in customer engagement 38:19 - Discovering hidden metrics through data analysis 39:16 - Leveraging AI and ML for pattern recognition in CS Enjoy! I know I sure did...

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