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Jason Kanigan Guest On The Business Leadership Live Podcast

Jason Kanigan was the guest on The Business Leadership Live podcast. Host Edwin and Jason spoke about the unexpected challenges of scaling organizations.

To achieve operational excellence, and to get through the "Valley of Death" between the revenue plateau you're at and the next one above, you'll need to change what you're doing and how you're doing it.

jason kanigan the business leadership live

Listen to the live podcast by clicking here.

>> Jason Kanigan is a business strategist. To book a consultation with Jason, click here.

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SaaS AdLabs Interview with Jason Kanigan

Interview With Jason Kanigan by Luis Camacho

SaaS AdLabs hosts this interview with Jason Kanigan on the unexpected challenges of scaling tech firms. We cover:

  • the biggest issues Cold Star sees over and over, in both small companies and larger firms, that block them from scaling smoothing and fast
  • Why franchising may be the wrong option for you, and the things you need to think about before considering using it as a growth tool
  • What tech firms can do to dramatically lower their cost of customer acquisition...and why nearly all founders cut themselves off from this possibility
  • Why all SaaS companies should have a dedicated individual which job is to figure out way to reduce churn rates.

Watch the full interview right here:

Process Engineering for Scaling Tech Firms

Business owners whose time is tied up, whose management team is stuck in a complex mire of training employees and outsourcing, who are tired of seeing quality issues that should have been fixed long ago...these folks are in a situation Cold Star Tech can get them out of. Process engineering is the key tool for accomplishing a better outcome, and getting business owners feeling confident that they have clarity.

interview with Jason Kanigan SaaS AdLab

>> Jason Kanigan is the founder of Cold Star Technologies, a professional services firm focused on helping tech and manufacturing companies smooth the bumpy road of scaling fast <<