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

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Manage episode 424213216 series 3479744
コンテンツは Alex Turkovic によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Alex Turkovic またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

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...

Preetam's LinkedIn: https://www.linkedin.com/in/preetamjinka/
Arun's LinkedIn: https://www.linkedin.com/in/balakrishnanarun/
FunnelStory: https://funnelstory.ai/
+++++++++++++++++
This episode was edited by Lifetime Value Media, a media production company founded by my good friend and fellow CS veteran Dillon Young. Lifetime Value aims to serve the audio/video content production and editing needs of CS and Post-Sales professionals. Lifetime Value is offering select services at a deeply discounted rate for a limited time. Navigate to lifetimevaluemedia.com to learn more.
+++++++++++++++++

Support the show

+++++++++++++++++
Like/Subscribe/Review:
If you are getting value from the show, please follow/subscribe so that you don't miss an episode and consider leaving us a review.
Website:
For more information about the show or to get in touch, visit DigitalCustomerSuccess.com.
Buy Alex a Cup of Coffee:
This show runs exclusively on caffeine - and lots of it. If you like what we're, consider supporting our habit by buying us a cup of coffee: https://bmc.link/dcsp
Thank you for all of your support!
The Digital Customer Success Podcast is hosted by Alex Turkovic

  continue reading

1. AI-Powered Customer Success & Predictive Analytics with Arun Balakrishnan and Preetam Jinka of FunnelStory | Episode 057 (00:00:00)

2. Digital Customer Experience and AI (00:00:03)

3. AI and Data in Customer Experience (00:14:09)

4. Data-Driven Customer Success Approach (00:23:40)

5. Leveraging Data for Customer Success (00:30:30)

6. Advancements in AI and Digital Engagement (00:39:16)

78 つのエピソード

Artwork
iconシェア
 
Manage episode 424213216 series 3479744
コンテンツは Alex Turkovic によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、Alex Turkovic またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal

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...

Preetam's LinkedIn: https://www.linkedin.com/in/preetamjinka/
Arun's LinkedIn: https://www.linkedin.com/in/balakrishnanarun/
FunnelStory: https://funnelstory.ai/
+++++++++++++++++
This episode was edited by Lifetime Value Media, a media production company founded by my good friend and fellow CS veteran Dillon Young. Lifetime Value aims to serve the audio/video content production and editing needs of CS and Post-Sales professionals. Lifetime Value is offering select services at a deeply discounted rate for a limited time. Navigate to lifetimevaluemedia.com to learn more.
+++++++++++++++++

Support the show

+++++++++++++++++
Like/Subscribe/Review:
If you are getting value from the show, please follow/subscribe so that you don't miss an episode and consider leaving us a review.
Website:
For more information about the show or to get in touch, visit DigitalCustomerSuccess.com.
Buy Alex a Cup of Coffee:
This show runs exclusively on caffeine - and lots of it. If you like what we're, consider supporting our habit by buying us a cup of coffee: https://bmc.link/dcsp
Thank you for all of your support!
The Digital Customer Success Podcast is hosted by Alex Turkovic

  continue reading

1. AI-Powered Customer Success & Predictive Analytics with Arun Balakrishnan and Preetam Jinka of FunnelStory | Episode 057 (00:00:00)

2. Digital Customer Experience and AI (00:00:03)

3. AI and Data in Customer Experience (00:14:09)

4. Data-Driven Customer Success Approach (00:23:40)

5. Leveraging Data for Customer Success (00:30:30)

6. Advancements in AI and Digital Engagement (00:39:16)

78 つのエピソード

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