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 $1.9M in 2024, down 0-5% from the previous year. For 2025, 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 37%, compared to the preceding three months.
cut.com competitors
In August 2025, cut.com is lagging behind its competitor cutsclothing.com in terms of revenue, with cutsclothing.com generating $760,393 compared to cut.com's $57,620. cutsclothing.com also outperforms cut.com in transactions and sessions, with 5,569 transactions and 323,385 sessions as opposed to cut.com's 886 transactions and 57,952 sessions. Additionally, cutsclothing.com has a higher average order value (AOV) range of $125-150, while cut.com's AOV ranges from $50-75. Both companies have a similar conversion rate range of 1.50-2.00%. Overall, cutsclothing.com demonstrates stronger performance across various metrics compared to cut.com in August 2025.
Revenue share by device at cut.com
In August large majority of sales on cut.com, 67% was finalized on desktop devices, with 33% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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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.
