whitehouseblackmarket.com
White House Black Market offers polished black and white women's clothing with pops of color and patterns. Shop tailored dresses, tops, pants and accessories.
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whitehouseblackmarket.com's monthly revenueOVER TIME
Over the past three months, whitehouseblackmarket.com revenue has experienced growth of 15%, compared to the preceding three months.
whitehouseblackmarket.com competitors
In December 2025, White House Black Market (WHBM) had a revenue of $11,909,077 with 72,271 transactions and 3,382,418 sessions. Their average order value (AOV) ranged from $150 to $175, and their conversion rate was between 2.00% and 2.50%. In comparison, Ann Taylor had a higher revenue of $20,606,461 with 193,473 transactions and 5,284,558 sessions. Their AOV was between $100 and $125, and their conversion rate was higher at 3.50% to 4.00%. Chico's revenue was $18,487,465 with 127,538 transactions and 4,183,252 sessions, having an AOV of $125 to $150 and a conversion rate of 3.00% to 3.50%. Loft had the highest revenue of $39,109,156 with 382,288 transactions and 9,454,519 sessions, along with an AOV of $100 to $125 and a conversion rate of 4.00% to 4.50%. Express and Talbots fell in between with their own revenue, transactions, sessions, AOV, and conversion rates.
Revenue share by device at whitehouseblackmarket.com
In December large majority of sales on whitehouseblackmarket.com, 69% was finalized on desktop devices, with 31% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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whitehouseblackmarket.com channels
Identify top traffic channels that drive growth for whitehouseblackmarket.comand discover how performance of traffic channels has changed over time.
whitehouseblackmarket.com Google Ads spend
Evaluate whitehouseblackmarket.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.
whitehouseblackmarket.com devices
Review whitehouseblackmarket.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
