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 4.8%, compared to the preceding three months.
lanebryant.com competitors
In July 2025, lanebryant.com generated a revenue of $10,429,202 from 119,359 transactions with 6,066,829 sessions. The average order value (AOV) ranged between $75-$100, and the conversion rate was 1.50-2.00%. Comparing this data to its competitors, torrid.com outperformed Lane Bryant with a revenue of $18,755,621 from 242,339 transactions and 10,323,581 sessions. avenue.com had a revenue of $7,709,971 from 12,619 transactions and 1,230,282 sessions, with a higher AOV of $600-$625 but a lower conversion rate of 1.00-1.50%. ashleystewart.com, womanwithin.com, and catherines.com also had varying levels of revenue, transactions, sessions, AOV, and conversion rates compared to Lane Bryant. Overall, Lane Bryant falls within the range of its competitors in terms of revenue and performance metrics in July 2025.
Revenue share by device at lanebryant.com
In July large majority of sales on lanebryant.com, 63% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 37% 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.
