sofafair.com
Sofafair.com is an online retail platform offering a variety of furniture items. Their catalog includes a wide range of couches, sofas, recliners, sectional seating, and accent chairs. Additionally, they offer a diverse collection of tables, ottomans, and entertainment centers, catering to various design preferences and home decor styles.
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sofafair.com Annual Revenue and Growth
sofafair.com's annual sales on its online store amounted to $93.4K in 2025, down 50%+ from the previous year. For 2026, revenue is expected to decline by 20-50%. The trend is expected to moderate.
sofafair.com's monthly revenueOVER TIME
Over the past three months, sofafair.com revenue has experienced growth of 781%, compared to the preceding three months.
sofafair.com competitors
In January 2026, sofafair.com had a revenue of $2,100 with 3 transactions and 1,211 sessions, resulting in an Average Order Value (AOV) range of $650-$675 and a conversion rate of 0.00-0.50%. In comparison, americanfurnitureofslidell.com generated $24,982 in revenue with 22 transactions and 8,942 sessions, boasting an AOV range of $1,100-$1,125 and a similar conversion rate of 0.00-0.50%. keyhomefurnishings.com outperformed with a revenue of $684,050 from 637 transactions and 63,533 sessions, with an AOV range of $1,050-$1,075 and a higher conversion rate of 0.50-1.00%. Lastly, foagroup.com achieved a revenue of $506,341 with 595 transactions and 50,945 sessions, showing an AOV range of $850-$875 and a conversion rate of 1.00-1.50%. Overall, sofafair.com lagged behind its competitors in terms of revenue and performance metrics.
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sofafair.com channels
Identify top traffic channels that drive growth for sofafair.comand discover how performance of traffic channels has changed over time.
sofafair.com Google Ads spend
Evaluate sofafair.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.
sofafair.com devices
Review sofafair.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
