$400 CAC, $100 MSRP: why it’s so hard to build hardware, with Erynn Petersen

What we cover Your hardware margin is grocery-store thin. Founders coming from software expect 80% margins. Hardware is more like 5%. Grocery stores run at 3%. Getting to even nominally profitable meant Emme flipping its model entirely: give the case as a loss leader, sell the app. CAC went from ~$400 to ~$25 Civil engineers take an oath, why not software engineers? Civil engineers are personally liable if a bridge falls. In healthcare/healthtech, we often make ethical choices without even realizing it. There are actually a lot of duties that we have to our patients, our local community, our world, that aren’t always obvious. Selling data is a tantalizing revenue driver to boost your razor-thin margins: how do you tie yourself to the mast to avoid that call? How are we thinking about LLMs and the non-zero resources that each prompt takes?  Ooo: more pink taxes. Women's health is a restricted category on most major ad platforms. Reproductive health is doubly so. Shadow bans are common, policies change without notice, and the cost of reaching your customer is structurally higher. It is unfair, yes, but if you are building in this space, you should know it exists If you get software investors for your hardware company, you're gonna have a bad time. Look for experienced hardware investors. They understand the margin profile and the multi-year payback curve. They're also one of the better early validators for whether an idea is worth building at all. Taking checks from people expecting software returns, then managing that conversation at year three, is an all-too-common failure mode Firmware versioning was a decade-long problem. Now it isn't. Managing versions across device serial numbers, OS versions, and phone generations used to require a support matrix that could kill a small team. AI has quietly made this tractable: feed your codebase and version history to your AI engine of choice, and it maps the dependencies Brought to you by Toboggan Labs A consultancy for healthcare builders. If you have a health product that needs engineers, product people, or experienced operators to help you build or fix something, go talk to them at https://bit.ly/oop-readmission For inquiries about sponsoring the podcast, email [email protected] Find Erynn Emme: emme.com LinkedIn Timestamps 0:00 – Intro 1:20 – Pleasantries (Friday the 13th, alligator moons, and a rectangular February) 6:04 – Resilience and ethics in healthtech: the biggest system failures come from within, civil engineers take an oath, and Emme's answer to the data-selling temptation 15:08 – The economics of healthcare hardware: 5% margins if you're lucky, the path through payers is getting harder, and why consumer-grade industrial design is creeping into med tech 18:20 – Why Rhode Island is an underrated place to build: defense, healthcare, research, and a manufacturing base small enough to navigate quickly. Also: return to office (said it) 25:05 – The hard economics and margins of hardware: 5% if you're lucky, before marketing. Grocery stores run at 3%. 29:04 – Ad: Toboggan Labs – if you're selling a physical health product DTC and a third of your kits never come back completed, go find them at tobogganlabs.com 31:34 – Advertising in women's reproductive health is hard on hard mode: shadow bans, shifting platform policies, and the SEO-to-GEO transition hitting just as Emme had figured out content strategy. Find hardware-aligned investors before you take a check from someone who expects software returns. 39:34 – Ad: Data Camp – June 25-26 in Boston. Tactical sessions, hands-on practitioners, great swag, and a secret plan for a data wreck room involving a paper-mache EDI file 41:39 – Firmware versioning: a decade-long nightmare, why AI has made it tractable, and whether it’s worth draining a lake in South America faster to answer which states had the most sex during the Super Bowl