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 revenueOVER TIME
Over the past three months, slipcovershop.com revenue has experienced growth of 2.9%, compared to the preceding three months.
slipcovershop.com competitors
In July 2025, slipcovershop.com generated a revenue of $240,257 from 1,052 transactions with 47,500 sessions. Their Average Order Value (AOV) ranged between $225-250, and their conversion rate was between 2.00-2.50%. In comparison, mammamiacovers.com outperformed slipcovershop.com with a revenue of $287,985 from 1,017 transactions and 63,798 sessions. Their AOV was higher at $275-300, but their conversion rate was slightly lower at 1.50-2.00%. surefit.com lagged behind with only $23,370 in revenue from 116 transactions and 21,042 sessions, and a lower AOV of $200-225 and conversion rate of 0.50-1.00%. On the other hand, coversandall.com had the highest revenue at $1,592,369 with 6,032 transactions and 311,317 sessions, offering an AOV of $250-275 and conversion rate of 1.50-2.00%. comfort-works.com and sixpenny.com also showcased strong performance metrics compared to slipcovershop.com in terms of revenue, transactions, sessions, AOV, and conversion rate.
Revenue share by device at slipcovershop.com
In July large majority of sales on slipcovershop.com, 75% was finalized on desktop devices, with 25% 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.
