buckle.com
Buckle.com is an online retail platform that offers a wide range of products. The website primarily sells clothing items, including jeans, tops, dresses and accessories. They appear to cater to customers seeking trendy fashion styles, while also offering footwear and bags to complete their outfit selections.
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buckle.com's revenueOVER TIME
Over the past three months, buckle.com revenue has experienced decline of 4.2%, compared to the preceding three months.
buckle.com competitors
In July 2025, buckle.com had a revenue of $6,543,142 with 48,544 transactions and 2,203,113 sessions. The average order value (AOV) was between $125-$150, and the conversion rate was between 2.00-2.50%. Comparing buckle.com to its competitors, heydude.com had the highest revenue at $16,024,822 with 138,733 transactions and 4,417,963 sessions. The AOV was between $100-$125, and the conversion rate was between 3.00-3.50%. bootbarn.com had a revenue of $10,394,987 with 65,883 transactions and 4,132,350 sessions, a higher AOV of $150-$175 but a slightly lower conversion rate of 1.50-2.00%. tillys.com had a revenue of $13,894,514 with 109,371 transactions and 5,723,739 sessions, similar AOV to buckle.com and a conversion rate of 1.50-2.00%. buckle.com's competitors in the Western apparel market varied in performance, with some having higher revenue but lower conversion rates compared to buckle.com.
Revenue share by device at buckle.com
In July large majority of sales on buckle.com, 63% was finalized on desktop devices, with 37% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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buckle.com channels
Identify top traffic channels that drive growth for buckle.comand discover how performance of traffic channels has changed over time.
buckle.com Google Ads spend
Evaluate buckle.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.
buckle.com devices
Review buckle.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
