GRIPS CUSTOMERS & RESEARCH PARTNERS
thefurnituremart.com Annual Revenue and Growth
thefurnituremart.com's annual sales on its online store amounted to $2.9M in 2025, down 20-50% from the previous year. For 2026, revenue is expected to grow by 50%+. This suggests a turnaround from last year's decline.
thefurnituremart.com's monthly revenueOVER TIME
Over the past three months, thefurnituremart.com revenue has experienced growth of 53%, compared to the preceding three months.
thefurnituremart.com competitors
In January 2026, thefurnituremart.com generated a revenue of $362,534 with 316 transactions and 99,683 sessions. The average order value (AOV) ranged between $1125 and $1150, and the conversion rate varied from 0.00% to 0.50%. Comparing this data to its competitors, we see that slumberland.com had the highest revenue at $1,910,571 with 1,597 transactions and 460,604 sessions. nfm.com had the highest revenue of $12,269,780 with 27,166 transactions and 2,208,760 sessions, boasting an AOV of $450-$475 and a conversion rate of 1.00-1.50%. la-z-boy.com also stood out with a revenue of $23,082,518, 33,227 transactions, and 2,413,093 sessions, along with a higher AOV of $675-$700 and a conversion rate of 1.00-1.50%. Overall, thefurnituremart.com may need to focus on increasing revenue and sessions to compete with its larger counterparts.
Revenue share by device at thefurnituremart.com
In January large majority of sales on thefurnituremart.com, 59% was finalized on desktop devices, with 41% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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thefurnituremart.com channels
Identify top traffic channels that drive growth for thefurnituremart.comand discover how performance of traffic channels has changed over time.
thefurnituremart.com Google Ads spend
Evaluate thefurnituremart.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.
thefurnituremart.com devices
Review thefurnituremart.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
