cutsclothing.com
Crafted for confidence, designed for the ambitious. Experience Cuts, style for the next generation. Shop our collection of premium apparel designed for a modern lifestyle.
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cutsclothing.com's monthly revenueOVER TIME
Over the past three months, cutsclothing.com revenue has experienced growth of 20%, compared to the preceding three months.
cutsclothing.com competitors
In December 2025, cutsclothing.com generated a revenue of $810,373 from 6,309 transactions and 293,455 sessions with an average order value (AOV) of $125-150 and a conversion rate of 2.00-2.50%. When comparing it to its competitors, freshcleantees.com had a higher revenue of $931,771 with 9,407 transactions and 444,544 sessions, but a lower AOV of $75-100. jordanlash.com had a significantly lower revenue of $34,892 with 128 transactions and 3,809 sessions, but a higher AOV of $250-275 and conversion rate of 3.00-3.50%. cut.com had a revenue of $179,391 from 2,631 transactions and 65,298 sessions with an AOV of $50-75 and the highest conversion rate of 4.00-4.50%. theclassictshirt.com had a revenue of $74,340 with 560 transactions and 50,090 sessions, similar AOV to cutsclothing.com but a lower conversion rate. trueclassictees.com outperformed all competitors with a revenue of $6,216,896 from 69,229 transactions and 2,350,582 sessions, with an AOV of $75-100 and a conversion rate of 2.50-3.00%.
Revenue share by device at cutsclothing.com
In December large majority of sales on cutsclothing.com, 81% was finalized on desktop devices, with 19% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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cutsclothing.com channels
Identify top traffic channels that drive growth for cutsclothing.comand discover how performance of traffic channels has changed over time.
cutsclothing.com Google Ads spend
Evaluate cutsclothing.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.
cutsclothing.com devices
Review cutsclothing.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
