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The Power of CRM Data in Marketing Transformation - with Lucas Robinson

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Manage episode 427933071 series 1346873
Content provided by Arlen Robinson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arlen Robinson 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://player.fm/legal.

Lucas Robinson, founder and CEO of Weblife, shares insights on leveraging CRM data in e-commerce marketing. He emphasizes the importance of clean and organized CRM data and recommends hiring a subject matter expert to set up the CRM correctly. Robinson highlights the power of AI in analyzing CRM data and creating personalized marketing campaigns. He discusses the role of customer segmentation and avatars in tailoring marketing efforts. Robinson predicts that AI will play a significant role in CRM data analysis and marketing strategies in the future.

Key Episode Takeaways:

  • Clean and organize your CRM data and hire a subject matter expert to set it up correctly.
  • Use AI to analyze CRM data and create personalized marketing campaigns.
  • Customer segmentation and avatars help tailor marketing efforts to specific customer segments.
  • AI will play a significant role in CRM data analysis and marketing strategies in the future.

If you feel Lucas and his team at WebLife can help you, you may visit: https://weblifestores.com

For show transcript and past guests, please visit https://www.ecommercemarketingpodcast.com

Or on YouTube at:

https://www.youtube.com/channel/UC3PgT0NOGzpdPGQtBK0XLIQ

Follow Arlen:

Twitter: https://twitter.com/askarlen

Facebook: https://www.facebook.com/arlen.robinson.7

Instagram: https://www.instagram.com/arlenyohance/

LinkedIn: https://www.linkedin.com/in/arlenrobinson/

Past guests on the ecommerce marketing podcast include Neil Patel, Nemo Chu, Luke Lintz, Luke Carthy, Amber Armstrong, Kris Ruby and many more.

Thanks for listening. Be sure to subscribe and leave a review.

  continue reading

381 episodes

Artwork
iconShare
 
Manage episode 427933071 series 1346873
Content provided by Arlen Robinson. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Arlen Robinson 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://player.fm/legal.

Lucas Robinson, founder and CEO of Weblife, shares insights on leveraging CRM data in e-commerce marketing. He emphasizes the importance of clean and organized CRM data and recommends hiring a subject matter expert to set up the CRM correctly. Robinson highlights the power of AI in analyzing CRM data and creating personalized marketing campaigns. He discusses the role of customer segmentation and avatars in tailoring marketing efforts. Robinson predicts that AI will play a significant role in CRM data analysis and marketing strategies in the future.

Key Episode Takeaways:

  • Clean and organize your CRM data and hire a subject matter expert to set it up correctly.
  • Use AI to analyze CRM data and create personalized marketing campaigns.
  • Customer segmentation and avatars help tailor marketing efforts to specific customer segments.
  • AI will play a significant role in CRM data analysis and marketing strategies in the future.

If you feel Lucas and his team at WebLife can help you, you may visit: https://weblifestores.com

For show transcript and past guests, please visit https://www.ecommercemarketingpodcast.com

Or on YouTube at:

https://www.youtube.com/channel/UC3PgT0NOGzpdPGQtBK0XLIQ

Follow Arlen:

Twitter: https://twitter.com/askarlen

Facebook: https://www.facebook.com/arlen.robinson.7

Instagram: https://www.instagram.com/arlenyohance/

LinkedIn: https://www.linkedin.com/in/arlenrobinson/

Past guests on the ecommerce marketing podcast include Neil Patel, Nemo Chu, Luke Lintz, Luke Carthy, Amber Armstrong, Kris Ruby and many more.

Thanks for listening. Be sure to subscribe and leave a review.

  continue reading

381 episodes

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