Emme started as (and still is!) a smart pill case. Beautiful, award-winning, Apple-level-designed, beloved. It was so well-designed that nobody needed to buy a second one and they’ve only had 5 returns in 3 years The CAC (Customer Acquisition Cost) was $400 and the case retailed for $100. I think you can see where I’m going with this Erynn Peterson, CEO of Emme, walks through what it took to flip those economics and what every hardware founder learns too late: your margin isn't 80%. It's 5%, if you're lucky, and that's before you've spent a dollar on marketing. Also you should know that it’s really expensive and fraught to market in women’s health, much less women’s reproductive health The conversation covers the full stack of hardware reality: minimum order quantities before any supplier will take your call, ad channels that shadow ban women's reproductive health products, the shift from SEO to GEO that reshuffled the deck just as Emme had figured out content strategy, and the firmware versioning nightmare that AI has (only recently) made tractable.
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
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