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Andy Hoang, CEO of Aviron, on the unit economics of connected fitness

Interview
Once the pandemic hit and we made the decision to pivot to a direct to consumer product is where we truly experienced volume and hence product-market fit.
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The pandemic did not just increase demand, it gave Aviron a faster feedback loop that its reseller model could never provide. Selling to hotels, YMCAs, and apartment buildings meant long sales cycles and outsourced installs, so product signals arrived slowly. Moving online into the home put the machine in front of end users at scale, which let Aviron see who used it, how often families shared it, and which game and entertainment features actually kept people coming back.

  • Aviron says the original blocker was cash. B2B sales through resellers were simpler because partners handled selling and installation, while D2C required paid acquisition, ecommerce operations, support, and logistics. When business buyers froze in 2020 and consumers started buying home equipment, Aviron accelerated a home rower launch and shifted channels.
  • The home market also fit Aviron's product better than commercial settings. In the interview, Aviron describes a household product with at least two profiles per machine, short sessions, games, streaming apps, and lower impact workouts. Those advantages are easiest to see when one family uses the rower repeatedly, not when a hotel buys a few units through a facilities budget.
  • This was a broader category pattern. Peloton had already built a large commercial and corporate wellness footprint before COVID, but home demand became the defining growth engine for connected fitness during lockdowns. Rowing peers like Ergatta also launched consumer products around this same period, reinforcing that the breakout market was the living room, not institutional fitness rooms.

Going forward, the companies that last in connected fitness are likely to be the ones that treat D2C scale as both a sales channel and a product learning system. More home usage creates more data on retention, content mix, and household sharing, which then feeds better software economics and sharper product iteration.