patagonia.com
Patagonia.com is a website offering a range of products primarily catering to outdoor enthusiasts. The site offers a variety of outdoor apparel and gear designed for activities such as hiking, climbing, and camping. In addition, they provide resources related to environmental and social responsibility within the outdoor industry.
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patagonia.com's revenueOVER TIME
Over the past three months, patagonia.com revenue has experienced decline of 39%, compared to the preceding three months.
patagonia.com competitors
In May 2025, patagonia.com outperformed its competitors in terms of revenue, with a total of $37,252,272. backcountry.com came close with $22,906,024, while the other competitors like steepandcheap.com, sunandski.com, escapeoutdoors.com, and bobssportschalet.com lagged behind in revenue. patagonia.com also led in the number of transactions with 153,218, followed by backcountry.com with 123,113 transactions. Additionally, patagonia.com had the highest number of sessions at 6,380,317, just slightly ahead of backcountry.com's 6,331,934 sessions. The average order value (AOV) for patagonia.com ranged between $225-250, tying with sunandski.com, while escapeoutdoors.com had the highest AOV at $650-675. patagonia.com's conversion rate fell within the range of 2.00-2.50%, matching sunandski.com's performance. Overall, patagonia.com demonstrated strong performance compared to its competitors in May 2025.
Revenue share by device at patagonia.com
In May large majority of sales on patagonia.com, 76% was finalized on desktop devices, with 24% of sales coming from mobile devices.
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patagonia.com channels
Identify top traffic channels that drive growth for patagonia.comand discover how performance of traffic channels has changed over time.
patagonia.com Google Ads spend
Evaluate patagonia.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.
patagonia.com devices
Review patagonia.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
