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Ep. 529 | Building SaaS Moats: Brand, Community, and AI

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Manage episode 481009316 series 2151033
Content provided by Demandbase. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Demandbase or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Episode Summary

This episode explores how SaaS companies can create competitive moats through strong brands and authentic communities. Margaret Kelsey shares her expertise on why technology alone isn’t a moat in today’s landscape and how :: community, customer relationships, and values can differentiate brands for long-term success. The conversation also dives into the role of generative AI in marketing, actionable steps to build genuine customer connections, and strategies for amplifying brand stories across channels.

About the Guest

Margaret Kelsey is a CMO, marketing advisor, artist, and podcast host dedicated to creating shared languages that provide clarity, direction, and personal satisfaction. In her professional life, she develops effective go-to-market strategies, emphasizing the importance of aligning internal teams with their target audiences. Her artistic endeavors delve into the exploration of subconscious shared languages to create a human connection. Margaret also co-hosts a podcast (Don't Say Content) where the conversations center around creating shared languages within the workplace.

Website: https://www.kodaris.com/

Connect with Margaret

Key Takeaways

- Technology is No Longer a Moat

Rapid innovation and the influence of AI mean competitors can replicate products quickly. Building moats today requires strong brands and loyal communities.

- The Flywheel of Brand, Culture, and Community Companies succeed when their internal values align with their external brand and customer values, creating a "magnetic alignment" for differentiation.

- Leverage Generative AI Thoughtfully

Use micro, proprietary data lakes to train AI tools, ensuring authenticity and avoiding the risks of public LLM (Large Language Model) contamination.

- Start with Customer Conversations

One of the simplest and most effective steps to building community is engaging directly with your happiest, most loyal customers in casual virtual or in-person settings.

- Experiment and Monitor Channels

Even in saturated channels, consistent experimentation helps uncover formats and content types that resonate with your audience.

Quotes

"You inherit credibility by bringing customers together and forming connections they value. That builds trust your brand can benefit from."

Tech Recommendations

- Riverside - A versatile platform for recording high-quality podcasts and interviews.

Recommended Resource

Books:

- Radical Candor by Kim Scott - Be a Kick-Ass Boss Without Losing Your Humanity

- The Let Them Theory by Mel Robbins - A Life-Changing Tool That Millions of People Can't Stop Talking About

  continue reading

550 episodes

Artwork
iconShare
 
Manage episode 481009316 series 2151033
Content provided by Demandbase. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Demandbase or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Episode Summary

This episode explores how SaaS companies can create competitive moats through strong brands and authentic communities. Margaret Kelsey shares her expertise on why technology alone isn’t a moat in today’s landscape and how :: community, customer relationships, and values can differentiate brands for long-term success. The conversation also dives into the role of generative AI in marketing, actionable steps to build genuine customer connections, and strategies for amplifying brand stories across channels.

About the Guest

Margaret Kelsey is a CMO, marketing advisor, artist, and podcast host dedicated to creating shared languages that provide clarity, direction, and personal satisfaction. In her professional life, she develops effective go-to-market strategies, emphasizing the importance of aligning internal teams with their target audiences. Her artistic endeavors delve into the exploration of subconscious shared languages to create a human connection. Margaret also co-hosts a podcast (Don't Say Content) where the conversations center around creating shared languages within the workplace.

Website: https://www.kodaris.com/

Connect with Margaret

Key Takeaways

- Technology is No Longer a Moat

Rapid innovation and the influence of AI mean competitors can replicate products quickly. Building moats today requires strong brands and loyal communities.

- The Flywheel of Brand, Culture, and Community Companies succeed when their internal values align with their external brand and customer values, creating a "magnetic alignment" for differentiation.

- Leverage Generative AI Thoughtfully

Use micro, proprietary data lakes to train AI tools, ensuring authenticity and avoiding the risks of public LLM (Large Language Model) contamination.

- Start with Customer Conversations

One of the simplest and most effective steps to building community is engaging directly with your happiest, most loyal customers in casual virtual or in-person settings.

- Experiment and Monitor Channels

Even in saturated channels, consistent experimentation helps uncover formats and content types that resonate with your audience.

Quotes

"You inherit credibility by bringing customers together and forming connections they value. That builds trust your brand can benefit from."

Tech Recommendations

- Riverside - A versatile platform for recording high-quality podcasts and interviews.

Recommended Resource

Books:

- Radical Candor by Kim Scott - Be a Kick-Ass Boss Without Losing Your Humanity

- The Let Them Theory by Mel Robbins - A Life-Changing Tool That Millions of People Can't Stop Talking About

  continue reading

550 episodes

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