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257 | Turning Layoffs into An Opportunity of Accumulated Experience with Britton Stamper from Push.ai
Episode 2578th November 2023 • Failing to Success • Chad Kaleky
00:00:00 00:09:08

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Shownotes

✅ Turning Layoffs into Opportunity: How Britton Stamper's journey as an entrepreneur began with getting laid off.

✅ Recognizing Opportunities: Stamper discusses how being laid off enabled him to take the leap he'd always wanted.

✅ Accumulated Experience: Leveraging years of startup experience to inform business decisions and product development.

In this episode 257 of "Failing to Success", the co-founder of Push.Ai, Britton Stamper, shares his journey, beginning from being laid off in the tech industry to becoming a successful entrepreneur. Pushing past numerous hurdles, Britton talks about how he and his co-founder leveraged their industry knowledge and contacts to build the company. The episode showcases how they have used raised funds to develop their product and their plans to raise more capital. Britton explains their testing and customer identification strategy, focusing on data professionals and adding value to varied business teams. Lastly, he shares the company's forward-looking strategies that involve reinventing conventional data business models using new technologies.

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Chapters:

00:00 Intro

00:09 Britton's Journey from Layoff to Entrepreneurship

01:26 The Initial Steps and Challenges in Starting a Business

02:34 Funding and Bootstrapping the Venture

03:32 Identifying and Engaging with Ideal Customers

05:06 The Art of Customer Development and Outreach

06:49 The Future Vision for Push.Ai

07:58 The Importance of Data Mining in Business

08:27 Defining Key Metrics for Business

08:59 Contact Britton

entrepreneurship, business insights, startup journey, business success, data professionals, product development, layoffs to opportunity, innovation, business strategy, data mining, informed decision-making, pricing products, market fit, delivering value, Push.Ai, Britton Stamper, automated data distribution, startup ecosystem, business use case, customer development, key products, data quality, revenue, customers, data dimensions

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