cut.com
Cut.com is a website that offers an extensive range of engaging and informative videos covering various thought-provoking topics. With a focus on authentic storytelling, they produce content depicting diverse perspectives, experiences, and interviews with individuals from diverse backgrounds, ranging from intimate discussions to fun experiments.
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cut.com Annual Revenue and Growth
cut.com's annual sales on its online store amounted to $1.5M in 2025, down 20-50% from the previous year. For 2026, revenue is expected to grow by 10-20%. This suggests a turnaround from last year's decline.
cut.com's monthly revenueOVER TIME
Over the past three months, cut.com revenue has experienced decline of 31%, compared to the preceding three months.
cut.com competitors
The competitive set includes cut.com and cutsclothing.com. In July 2026, cutsclothing.com significantly outperformed cut.com, generating $867,000 in revenue compared to cut.com’s $57,200, trailing by a substantial $810,000. Transaction-wise, cutsclothing.com recorded 5,116, while cut.com only achieved 889, leading to a gap of 4,227 transactions. When it comes to website traffic, cutsclothing.com attracted 300,000 sessions, far exceeding cut.com’s 54,600, resulting in a difference of 245,000 sessions. Both cut.com and cutsclothing.com reported a conversion rate of 1.50-2.00%, indicating similar effectiveness in converting visitors into customers despite the stark differences in scale. In terms of average order value (AOV), cutsclothing.com’s range of $150-175 further highlights its market advantage over cut.com’s AOV of $50-75. Overall, cutsclothing.com clearly leads in all key performance metrics.
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cut.com channels
Identify top traffic channels that drive growth for cut.comand discover how performance of traffic channels has changed over time.
cut.com Google Ads spend
Evaluate cut.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.
cut.com devices
Review cut.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
