lanebryant.com
LaneBryant.com is an e-commerce platform that offers a wide range of clothing and related accessories for plus-size women. The website provides products such as dresses, tops, bottoms, outerwear, intimates, activewear, and footwear, catering to diverse style preferences. It also features size-inclusive fashion options and convenient e-shopping services.
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lanebryant.com's revenueOVER TIME
Over the past three months, lanebryant.com revenue has experienced growth of 16%, compared to the preceding three months.
lanebryant.com competitors
In June 2025, lanebryant.com generated a revenue of $11,133,505 from 131,703 transactions and 6,894,099 sessions, with an average order value (AOV) ranging between $75-100 and a conversion rate of 1.50-2.00%. Compared to its competitors, Lane Bryant's revenue falls behind torrid.com, which had the highest revenue at $20,057,239 from 258,938 transactions and 10,269,767 sessions, with a similar AOV of $75-100 but a higher conversion rate of 2.50-3.00%. However, Lane Bryant outperforms avenue.com, catherines.com, womanwithin.com, and ashleystewart.com in terms of revenue, transactions, and sessions. avenue.com had a revenue of $7,123,644, catherines.com had $5,085,855, womanwithin.com had $8,612,785, and ashleystewart.com had $4,687,395. Each competitor also had their own unique AOV and conversion rate ranges.
Revenue share by device at lanebryant.com
In June large majority of sales on lanebryant.com, 61% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 39% of sales coming from desktop devices.
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lanebryant.com channels
Identify top traffic channels that drive growth for lanebryant.comand discover how performance of traffic channels has changed over time.
lanebryant.com Google Ads spend
Evaluate lanebryant.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.
lanebryant.com devices
Review lanebryant.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
