Launch Intel
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Profitable Health & Wellness Subscription Brand with 1,900+ Active Subscribers & Strong US Growth.

Acquire.com

A compelling opportunity to acquire a profitable health & wellness DTC brand, with the United States now its largest market and established traction across Mexico and Latin America. Built around a subscription-driven model, this business has generated ~$503K TTM revenue and ~$70K TTM net profit, with ~$38K MRR, 1,949 active subscribers and ~78% gross margins.

A compelling opportunity to acquire a profitable health & wellness DTC brand, with the United States now its largest market and established traction across Mexico and Latin America. Built around a subscription-driven model, this business has generated ~$503K TTM revenue and ~$70K TTM net profit, with ~$38K MRR, 1,949 active subscribers and ~78% gross margins. The business operates with a lean infrastructure and established Meta acquisition engine, supported by proven creative, advertorial fu...

Visit productView on Acquire.comEcommerce
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Actual performance

$38,000/yr
Made the leaderboard

Traction signals

Asking price$119,000
Annual revenue$456,000
Revenue multiple0.3x

Launch Intel predictions

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Acquire.comFits revenue-generating acquisition profile · Strong signals: mrr, revenue, profit · Missing: arr, saas, recurring
85%85% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: profitable · Missing: mobile apps, ios, personal
66%66% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: model · Missing: mac, agents, macos
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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