Launch Intel
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Established Bath & Body Brand With $3.5M Revenue and B2B Relationships

Acquire.com

A skin care brand that has lots of room for growth in the online B2C space. Key Highlights ✅ 9-year-old skincare brand with proven reputation in bath & body market ✅ Strong B2B relationships alongside growing direct-to-consumer presence ✅ TTM Revenue: $3.5M | TTM Profit: $500K | Last month’s profit: $35K ✅ Large engaged customer base with 40K+ unique emails ✅ Includes warehouse, inventory, equipment, and trademarks in the sale ✅ Significant growth runway in B2C e-commerce and digital marketing

A skin care brand that has lots of room for growth in the online B2C space. Key Highlights ✅ 9-year-old skincare brand with proven reputation in bath & body market ✅ Strong B2B relationships alongside growing direct-to-consumer presence ✅ TTM Revenue: $3.5M | TTM Profit: $500K | Last month’s profit: $35K ✅ Large engaged customer base with 40K+ unique emails ✅ Includes warehouse, inventory, equipment, and trademarks in the sale ✅ Significant growth runway in B2C e-commerce and digital marketing

Visit productView on Acquire.comEcommerce
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Actual performance

$291,666/yr
Made the leaderboard

Traction signals

Asking price$4,980,960
Annual revenue$3,500,000
Revenue multiple1.4x

Launch Intel predictions

Analyze your own launch →
Acquire.comFits revenue-generating acquisition profile · Strong signals: revenue, profit, ttm · Missing: arr, mrr, saas
69%69% 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
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: month, way · Missing: mobile apps, ios, personal
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: email · Missing: mac, agents, macos
17%17% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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