jumperthreads.com
Jumperthreads.com is an online e-commerce platform offering a diverse range of clothing items for men, women, and children. Their product catalog includes shirts, sweaters, hoodies, dresses, and other fashion accessories. Customers can explore and purchase a variety of stylish and comfortable clothing options through their user-friendly website.
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jumperthreads.com Annual Revenue and Growth
jumperthreads.com's annual sales on its online store amounted to $14.2K in 2025, down 0-5% from the previous year. For 2026, revenue is expected to grow by 20-50%. This suggests a turnaround from last year's decline.
jumperthreads.com's monthly revenueOVER TIME
Over the past three months, jumperthreads.com revenue has experienced decline of 28%, compared to the preceding three months.
jumperthreads.com competitors
In January 2026, jumperthreads.com reported a revenue of $2,620 with 49 transactions and 2,661 sessions, resulting in an average order value (AOV) range of $50-$75 and a conversion rate of 1.50%-2.00%. In comparison, allbranded.co.uk generated significantly higher revenue of $162,784 with 554 transactions and 27,044 sessions. allbranded.co.uk had a higher AOV range of $275-$300 and a slightly higher conversion rate of 2.00%-2.50%. Despite jumperthreads.com's lower revenue and transaction numbers, it had a competitive conversion rate and a slightly lower AOV range. However, jumperthreads.com could potentially increase its revenue and transactions by analyzing and implementing strategies used by higher-performing competitors like allbranded.co.uk.
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jumperthreads.com channels
Identify top traffic channels that drive growth for jumperthreads.comand discover how performance of traffic channels has changed over time.
jumperthreads.com Google Ads spend
Evaluate jumperthreads.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.
jumperthreads.com devices
Review jumperthreads.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
