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Unleashing Sales Growth Through Science - Gabe Larsen, InsideSales.com

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Manage episode 204458972 series 1242556
Content provided by Victor Antonio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Victor Antonio 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.

Salespeople can sell more by incorporating data science and technology into the way they actually sell. Data science offers reliable answers to the questions salespeople ask most often, such as: Where should I focus my time? Who should I sell to? What actions should I take? Data science can do this because it is able to weigh thousands of attributes that make up an ideal prospect or next best action in a way that the human brain simply cannot. Reps need this superpower incorporated into the way they work both in and out of the CRM. Guest: Gabe Larsen, VP at InsideSales.com

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598 episodes

Artwork
iconShare
 
Manage episode 204458972 series 1242556
Content provided by Victor Antonio. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Victor Antonio 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.

Salespeople can sell more by incorporating data science and technology into the way they actually sell. Data science offers reliable answers to the questions salespeople ask most often, such as: Where should I focus my time? Who should I sell to? What actions should I take? Data science can do this because it is able to weigh thousands of attributes that make up an ideal prospect or next best action in a way that the human brain simply cannot. Reps need this superpower incorporated into the way they work both in and out of the CRM. Guest: Gabe Larsen, VP at InsideSales.com

  continue reading

598 episodes

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