#3: How Profitable Could a Laundromat Business Be?

  • Intro
  • [0:28] Laundry Money
  • [0:37] Max Branstetter, Hippo Direct, Wild Business Growth Podcast
  • [0:44] Howard Shear, Rex Anderson, Lakeside Laundry Equipment
  • How Profitable Could a Laundromat Business Be?
  • [1:20] What ROI (Return on Investment) should you expect when investing in a laundromat business?
  • [1:38] What are the biggest drivers to ROI in a laundromat business?
  • [1:46] Demographic Studies, Competitive Analysis, Traffic Studies
  • [2:28] When should you expect to see a return on your laundromat business investment?
  • [2:52] EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization)
  • [3:42] What are the biggest drivers that impact your return on your laundromat business investment?
  • [5:04] 2008 Recession
  • [5:44] What other external economic conditions are there that can impact your investment?
  • [6:24] Lending standards
  • [7:16] What other auxiliary income opportunities exist for your laundromat business?
  • [7:36] Candy machines, massage chairs
  • [7:54] Cash flow
  • [8:25] What arcade games work well in a laundromat?
  • [8:33] Pinball machines
  • [9:02] What part of the laundry process is more important for laundromat owners to focus on?
  • [10:26] Customer service
  • [10:36] What else can a laundromat business investor do to maximize their investment?
  • [10:55] Mobile apps, Apple Pay, Digital payments
  • [11:14] Discount days
  • [12:01] Laundromat Attendants
  • [12:19] Laundromat drop-off
  • [12:32] Commercial accounts
  • [13:04] Yelp
  • [13:12] Call to action (CTA)
  • [14:44] What should you know about expenses on the laundromat business side?
  • [15:02] Lender, Construction needs
  • [15:21] Auto parts store
  • Outro
  • [15:37] Bring your laundromat business to life by visiting LakesideLaundry.com/Podcast and filling out the form
  • Theme Song: Rock Your Life – Abydos Music – provided by Jamendo
  • The numbers discussed in this podcast are based upon estimates and may vary from location to location. Past performances are no guarantee on future estimates, but are used as a guideline

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