shopbop.com
Shopbop.com is an online retailer that offers a wide range of fashionable clothing, accessories, and shoes for women. Their inventory includes items from renowned brands, covering various styles - from casual to formal wear. It serves as a convenient platform for women seeking trendy and quality fashion products.
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shopbop.com's revenueOVER TIME
Over the past three months, shopbop.com revenue has experienced growth of 25%, compared to the preceding three months.
shopbop.com competitors
In July 2025, shopbop.com had a revenue of $12,733,244 with 37,119 transactions and 4,617,447 sessions. Their average order value (AOV) ranged from $325 to $350, and their conversion rate was between 0.50% to 1.00%. Comparing shopbop.com to its competitors, revolve.com stood out with a revenue of $42,888,597, 174,854 transactions, and 16,083,151 sessions. net-a-porter.com had a revenue of $34,491,593 with 63,507 transactions and 6,364,179 sessions. neimanmarcus.com reported a revenue of $57,125,581, 177,244 transactions, and 9,750,693 sessions. intermixonline.com had a lower revenue of $11,848, only 27 transactions, and 15,758 sessions. bergdorfgoodman.com generated a revenue of $29,802,043, with 65,613 transactions and 3,769,069 sessions. Overall, shopbop.com was competitive in terms of revenue and transactions, but lagged slightly behind in sessions compared to some of its competitors.
Revenue share by device at shopbop.com
In July large majority of sales on shopbop.com, 77% was finalized on desktop devices, with 23% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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shopbop.com channels
Identify top traffic channels that drive growth for shopbop.comand discover how performance of traffic channels has changed over time.
shopbop.com Google Ads spend
Evaluate shopbop.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.
shopbop.com devices
Review shopbop.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
