furnitureparts.com
Furnitureparts.com offers a wide range of products for furniture restoration and repair. Their inventory includes an assortment of parts and components such as knobs, hinges, legs, and hardware. The website aims to provide consumers with the necessary resources to maintain and enhance their furnitures functionality and appearance.
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furnitureparts.com's revenueOVER TIME
Over the past three months, furnitureparts.com revenue has experienced growth of 5%, compared to the preceding three months.
furnitureparts.com competitors
In July 2025, furnitureparts.com outperformed its competitors in terms of revenue, transactions, and sessions. The closest competitor in revenue was prettypegs.com with $274,301, significantly lower than furnitureparts.com's $95,252. semihandmade.com had the highest revenue at $496,609, but furnitureparts.com had a higher conversion rate at 2.50-3.00%, compared to semihandmade.com's 2.00-2.50%. In terms of transactions, semihandmade.com led with 1,653 transactions, while furnitureparts.com had 662. However, furnitureparts.com had a higher average order value (AOV) at $125-$150, compared to most competitors, with the exception of spindlemattress.com with an AOV of $1100-$1125. Overall, furnitureparts.com demonstrated solid performance across key metrics, making it a strong player in the furniture parts market.
Revenue share by device at furnitureparts.com
In July large majority of sales on furnitureparts.com, 62% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 38% of sales coming from desktop devices.
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furnitureparts.com channels
Identify top traffic channels that drive growth for furnitureparts.comand discover how performance of traffic channels has changed over time.
furnitureparts.com Google Ads spend
Evaluate furnitureparts.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.
furnitureparts.com devices
Review furnitureparts.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
