slipcovershop.com
We stock and make custom furniture slipcovers as well as sofa covers, cushion covers, daybed covers, sectional covers, and futon covers. All made in the USA!
GRIPS CUSTOMERS & RESEARCH PARTNERS
slipcovershop.com's monthly revenueOVER TIME
Over the past three months, slipcovershop.com revenue has experienced growth of 13%, compared to the preceding three months.
slipcovershop.com competitors
When comparing slipcovershop.com to its competitors in December 2025, slipcovershop.com generated a revenue of $131,026 from 588 transactions with 25,260 sessions, boasting an average order value (AOV) of $200-225 and a conversion rate of 2.00-2.50%. In contrast, mammamiacovers.com had a higher revenue of $341,346 with 1,166 transactions and 72,909 sessions, but a slightly lower conversion rate of 1.50-2.00%. Meanwhile, comfort-works.com had a revenue of $268,301 with 687 transactions and 131,275 sessions, showcasing a higher AOV of $375-400 but a lower conversion rate of 0.50-1.00%. coversandall.com was the top performer with a revenue of $2,095,045 from 10,139 transactions and 319,862 sessions, along with an AOV of $200-225 and a conversion rate of 3.00-3.50%. Overall, slipcovershop.com held its own among its competitors in terms of revenue, transactions, and conversion rate, showcasing solid performance within the industry.
Revenue share by device at slipcovershop.com
In December large majority of sales on slipcovershop.com, 78% was finalized on desktop devices, with 22% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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slipcovershop.com channels
Identify top traffic channels that drive growth for slipcovershop.comand discover how performance of traffic channels has changed over time.
slipcovershop.com Google Ads spend
Evaluate slipcovershop.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.
slipcovershop.com devices
Review slipcovershop.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
