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 1.3%, compared to the preceding three months.
slipcovershop.com competitors
When comparing slipcovershop.com to its competitors in September 2025, it is evident that slipcovershop.com falls in the middle range in terms of revenue, transactions, sessions, AOV, and conversion rate. With a revenue of $245,586 from 1,120 transactions and 42,771 sessions, slipcovershop.com has an AOV ranging from $200-225 and a conversion rate of 2.50-3.00%. In contrast, mammamiacovers.com generates slightly higher revenue with fewer transactions and sessions, boasting an AOV of $275-300 and a conversion rate of 1.50-2.00%. On the other hand, surefit.com and comfort-works.com have significantly lower revenue numbers, while coversandall.com and sixpenny.com outshine slipcovershop.com with much higher revenue, transactions, and sessions, along with varying AOV and conversion rates. Overall, slipcovershop.com maintains a competitive position within its industry, showing steady performance across key metrics compared to its competitors.
Revenue share by device at slipcovershop.com
In September 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.
