257 | Turning Layoffs into An Opportunity of Accumulated Experience with Britton Stamper from Push.ai

✅ 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.Listen on:OUR WEBSITEYOUTUBEAPPLE PODCASTS‍SPOTIFYGOOGLE PODCASTSAdd us on:INSTAGRAMLINKEDINTIKTOKFACEBOOKChapters:00:00 Intro00:09 Britton's Journey from Layoff to Entrepreneurship01:26 The Initial Steps and Challenges in Starting a Business02:34 Funding and Bootstrapping the Venture03:32 Identifying and Engaging with Ideal Customers05:06 The Art of Customer Development and Outreach06:49 The Future Vision for Push.Ai07:58 The Importance of Data Mining in Business08:27 Defining Key Metrics for Business08:59 Contact Brittonentrepreneurship, 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