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M&A Science

M&A Science, hosted by Kison Patel (Founder & CEO of DealRoom), is your go-to podcast for mastering the art of mergers and acquisitions. Each week, Kison and his expert guests from leading brands like Xerox, FastLap, and Cisco dig deep into real-world M&A strategies, offering actionable insights to optimize your M&A practice. Whether you're an experienced practitioner or new to the field, M&A Science provides practical advice on key topics like sourcing, due diligence, integration, divestitures, and more. With over 300 episodes, this podcast is the premier thought leadership resource designed to streamline your deal-making process. Start listening today and visit mascience.com/podcast to access over 300 episodes. Brought to you by DealRoom, the leading M&A optimization platform used by the best M&A teams around the world
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Now displaying: Page 1
Sep 15, 2017

Sean Peace has a captivating story to tell about selling and exiting an unprofitable business in a unique niche: a fintech startup dealing with entertainment in the Southeast. In 2013, he founded Royalty Exchange, an auction marketplace selling music royalty streams as memorabilia to the highest bidding fans. After two years and $100K in revenue, the company landed $2 million in venture capital financing to accelerate their growth – or so they thought.

 

0:20 – 2:22 Background on SongVest leading up to Royalty Exchange business idea

2:23 – 3:49 Formation of Royalty Exchange and running it for the first 2 years

3:50 – 6:41 Attracting first $2M venture capital injection and how funds were invested

6:42 – 11:10 Pivot point to switch marketing strategy when proven ineffective

12:06 – 16:50 Deciding to exit and splitting sale of company to two buyers

16:51 – 19:13 Finding buyers without hiring an advisor & paying down debts

19:14 – 25:17 Discussing deal surprises and lessons learned

25:18 – 27:01 Sean answering would he start another company and raise from VCs again

 

M&A Science by Kison Patel (kison@dealroom.net)

DealRoom: Data Science and AI for M&A (www.dealroom.net)

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