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PODCAST 121: Lessons From Survival Mode: How to Kickstart Your Business with Matt Rizzetta

Sales Hacker

This week on the Sales Hacker podcast, we speak with Matt Rizzetta , founder of North 6th Agency, which is a communications and PR firm based in New York City. Subscribe to the Sales Hacker Podcast. How to get better at sales [21:37]. Welcome to the Sales Hacker podcast. Welcome to the Sales Hacker podcast.

Scale 105
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A Step by Step Guide to Revenue Growth with Mark Roberge (Video + Transcript)

SaaStr

What is sales? What is sales? Isn’t sales really around customer value creation? Sales is not about revenue generation, it’s around customer value creation. Why are we so obsessed with sales being focused on revenue? It’s all about churn and retention. Because churn is a silent killer.

Scale 213
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SaaStr Podcasts for the Week with Matrix Partners and EZPR — February 21, 2020

SaaStr

Does David agree, “entrepreneurship does not get easier with time, it just gets different”? What is the most common mistake B2B companies make in the hunt for PMF? * How does David think about scaling sales teams? How does one know when is the right time to hire your first sales reps? Why is 12 months so crucial?

Scale 190
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How to Build Happier Employees – Lessons From HubSpot’s CTO Dharmesh Shah and Chief People Officer Katie Burke

SaaStr

We could talk about CAK and LTV, and economics, and fundraising, and entrepreneurship, and SaaS and engineering, and product management, but instead I chose to talk about culture and people, which is a little bit of an odd topic for a CTO to pick up. Along with our marketing software, along with our sales software. Maintain it?

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SaaStr Podcasts for the Week with Pipe and MessageBird — March 13, 2020

SaaStr

Pipe’s lending model is so centered around churn prediction, what does their churn analysis look like at Pipe? How does Harry think about the right way to structure churn postmortems? Harry Stebbings: I mean I absolutely love it and it is game changing, but it’s also so reliant on your ability to accurately predict churn.