furniturerow.com
Furniturerow.com is an online platform offering a wide selection of furniture items for the customers home. It provides an extensive range of products including bedroom sets, living room furniture, dining sets, and home accessories. The website offers a user-friendly purchasing experience and delivers products directly to the customers doorstep.
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furniturerow.com's revenueOVER TIME
Over the past three months, furniturerow.com revenue has experienced growth of 70%, compared to the preceding three months.
furniturerow.com competitors
In July 2025, furniturerow.com reported a revenue of $17,786,836 with 15,513 transactions and 992,037 sessions, boasting an average order value (AOV) of $1,125-$1,150 and a conversion rate of 1.50-2.00%. When compared to its competitors, purple.com outperformed furniturerow.com with a revenue of $22,110,271 from 27,329 transactions and 6,674,885 sessions, but had a lower AOV of $800-$825 and a conversion rate of 0.00-0.50%. mattressfirm.com led the pack with a revenue of $41,456,470, 64,397 transactions, and 7,559,491 sessions, although their AOV was lower at $625-$650, with a conversion rate of 0.50-1.00%. furniturerow.com's closest competitor in terms of AOV was slumberland.com with a revenue of $1,547,144, 1,329 transactions, and 520,490 sessions, boasting an AOV of $1,150-$1,175 but with a conversion rate of 0.00-0.50%.
Revenue share by device at furniturerow.com
In July large majority of sales on furniturerow.com, 59% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 41% of sales coming from desktop devices.
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furniturerow.com channels
Identify top traffic channels that drive growth for furniturerow.comand discover how performance of traffic channels has changed over time.
furniturerow.com Google Ads spend
Evaluate furniturerow.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.
furniturerow.com devices
Review furniturerow.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
