baobabclothing.com
BaobabClothing.com is an online retail website that offers a variety of clothing items for men, women, and children. Their collection includes trendy and stylish apparel such as tops, bottoms, dresses, and accessories. The website provides a user-friendly interface for customers to browse and purchase products conveniently.
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baobabclothing.com's revenueOVER TIME
Over the past three months, baobabclothing.com revenue has experienced growth of 20%, compared to the preceding three months.
baobabclothing.com competitors
In May 2025, baobabclothing.com stood out from its competitors in several key metrics. While baobabclothing.com generated $19,439 in revenue from 167 transactions and 14,037 sessions with an average order value (AOV) of $100-125 and a conversion rate of 1.00-1.50, its competitors had varying performance levels. petermanningnyc.com led the pack with $1,026,823 in revenue from 2,783 transactions and 180,746 sessions, boasting an AOV of $350-375 and a conversion rate of 1.50-2.00. criquetshirts.com followed with $316,015 in revenue, 1,471 transactions, and 104,800 sessions, offering an AOV of $200-225 and a conversion rate of 1.00-1.50. hackett.com, thehomet.com, and sanvt.com also presented competitive numbers in revenue, transactions, sessions, AOV, and conversion rates, showcasing a dynamic landscape within the online clothing market in 2025.
Revenue share by device at baobabclothing.com
In May large majority of sales on baobabclothing.com, 54% was finalized on mobile devices, with 46% of sales coming from desktop devices.
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baobabclothing.com channels
Identify top traffic channels that drive growth for baobabclothing.comand discover how performance of traffic channels has changed over time.
baobabclothing.com Google Ads spend
Evaluate baobabclothing.com's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
baobabclothing.com devices
Review baobabclothing.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
