bigfloors.com
Bigfloors.com is an online retailer offering a range of building materials. Their inventory includes a variety of flooring options, such as interlocking tiles and rubber flooring. They also sell modular workstations, offering flexible and customizable solutions for office spaces. Additionally, they provide installation services for several of their product lines.
GRIPS CUSTOMERS & RESEARCH PARTNERS
bigfloors.com's revenueOVER TIME
Over the past three months, bigfloors.com revenue has experienced decline of 4.8%, compared to the preceding three months.
bigfloors.com competitors
In May 2025, bigfloors.com generated a revenue of $55,080 from 146 transactions and 11,093 sessions, with an average order value (AOV) ranging from $375 to $400 and a conversion rate of 1.00% to 1.50%. In comparison, matsupplier.com outperformed bigfloors.com with a revenue of $58,955 from 328 transactions and 26,914 sessions, but had a lower AOV of $175 to $200. However, both bigfloors.com and matsupplier.com had similar conversion rates. On the other hand, rubberflooringinc.com had significantly lower revenue of $2,394 from only 8 transactions and 180 sessions, but boasted a higher AOV of $275 to $300 and an impressive conversion rate of 4.00% to 4.50%. Overall, while bigfloors.com may lag behind matsupplier.com in terms of revenue, it outperformed rubberflooringinc.com in various metrics.
Revenue share by device at bigfloors.com
In May large majority of sales on bigfloors.com, 68% was finalized on desktop devices, with 32% of sales coming from mobile devices.
Gain even more insights with the Grips app
bigfloors.com channels
Identify top traffic channels that drive growth for bigfloors.comand discover how performance of traffic channels has changed over time.
bigfloors.com Google Ads spend
Evaluate bigfloors.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.
bigfloors.com devices
Review bigfloors.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
