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Shortening SaaS Sales Cycles with Don Otvos (DataHug)

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Archived series ("Inactive feed" status)

When? This feed was archived on July 19, 2019 01:17 (5y ago). Last successful fetch was on June 13, 2019 18:08 (5+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

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Manage episode 150429681 series 82418
Content provided by Bowery Capital. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bowery Capital 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.

This week, we welcomed Don Otvos into the Bowery Capital studio to discuss "Shortening SaaS Sales Cycles." Whether it's your average cycle across all opportunities or that one yet-to-close whale eating up resources, time-to-close is a universal concern. Don has deep experience in and an excellent background for dealing with this problem. Currently, he is the VP of Sales Ops at DataHug, a sales optimization platform that helps reduce the blind spot for sales managers so they can forecast more accurately and better coach their reps. Prior to that, Don series as a Senior Manager of Global Sales Ops at Yammer, and beforehand spent time an Account Management roles at Mulesoft. In our episode, Don describes a great framework for how to go about solving the sales cycle problem in your own environment. The framework covers three main steps, each of which we explore in depth: (1) focus getting a foot in the door; (2) discover the "compelling events" that occur in your SaaS sales cycles; and (3) institutionalize learnings into your sales process to affect change. Give a listen and we hope you enjoy another edition of the Bowery Capital Startup Sales Podcast!

  continue reading

100 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on July 19, 2019 01:17 (5y ago). Last successful fetch was on June 13, 2019 18:08 (5+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 150429681 series 82418
Content provided by Bowery Capital. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Bowery Capital 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.

This week, we welcomed Don Otvos into the Bowery Capital studio to discuss "Shortening SaaS Sales Cycles." Whether it's your average cycle across all opportunities or that one yet-to-close whale eating up resources, time-to-close is a universal concern. Don has deep experience in and an excellent background for dealing with this problem. Currently, he is the VP of Sales Ops at DataHug, a sales optimization platform that helps reduce the blind spot for sales managers so they can forecast more accurately and better coach their reps. Prior to that, Don series as a Senior Manager of Global Sales Ops at Yammer, and beforehand spent time an Account Management roles at Mulesoft. In our episode, Don describes a great framework for how to go about solving the sales cycle problem in your own environment. The framework covers three main steps, each of which we explore in depth: (1) focus getting a foot in the door; (2) discover the "compelling events" that occur in your SaaS sales cycles; and (3) institutionalize learnings into your sales process to affect change. Give a listen and we hope you enjoy another edition of the Bowery Capital Startup Sales Podcast!

  continue reading

100 episodes

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