eskell.com
Eskell.com is an online platform offering a range of products for sale. The website sells various items, including clothing, accessories, home decor, and gifts. Customers can explore an extensive collection of products, browse through different categories, and make purchases conveniently from the comfort of their homes.
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eskell.com Annual Revenue and Growth
eskell.com's annual sales on its online store amounted to $136.7K in 2025, up 20-50% from the previous year. For 2026, revenue is expected to grow by 20-50%. The trend is expected to moderate.
eskell.com's monthly revenueOVER TIME
Over the past three months, eskell.com revenue has experienced growth of 16%, compared to the preceding three months.
eskell.com competitors
In July 2026, eskell.com boasts a notable conversion rate of 1.00-1.50%, placing it ahead of several competitors. However, it ranks last in overall revenue at $12,100, trailing dsanddurga.com by a significant $270,000. While eskell.com sees 4,067 sessions, it still falls short of escentric.com by 128,000 sessions. In terms of transactions, eskell.com again ranks 6 of 6, with only 55 transactions, falling behind escentric.com by 1,040. The average order value (AOV) for eskell.com is between $200-225, which is competitive but still lower than many peers, including jakeandjones.com, whose AOV is $250-275. Overall, while eskell.com excels in conversion rate, it struggles significantly in revenue and transaction volume compared to its competitors.
Industries eskell.com operates in
eskell.com is tracked across 5 e-commerce industries. Explore market size, leading retailers and benchmarks for each.
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eskell.com channels
Identify top traffic channels that drive growth for eskell.comand discover how performance of traffic channels has changed over time.
eskell.com Google Ads spend
Evaluate eskell.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.
eskell.com devices
Review eskell.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
