wellgosh.com
Wellgosh.com is an online shopping platform that offers a diverse range of clothing, footwear, and accessories for both men and women. Their inventory includes renowned brands from around the world, such as Nike, Adidas, Carhartt, and New Balance. The website is known for its wide selection, catering to various style preferences and fashion trends.
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wellgosh.com Annual Revenue and Growth
wellgosh.com's annual sales on its online store amounted to $67.4K in 2024, down 50%+ from the previous year. For 2025, revenue is expected to decline by 20-50%. The trend is expected to moderate.
wellgosh.com's monthly revenueOVER TIME
Over the past three months, wellgosh.com revenue has experienced decline of 60%, compared to the preceding three months.
wellgosh.com competitors
In November 2025, wellgosh.com stood out as a niche player compared to its competitors in the online retail space. While wellgosh.com had a modest revenue of $1,791 with 11 transactions and 751 sessions, its average order value (AOV) ranged from $150-175, and it had a conversion rate of 1.00-1.50%. In contrast, some competitors like urbanindustry.co.uk generated a significant revenue of $1,589,762 with 10,915 transactions and 436,803 sessions, boasting a higher AOV of $125-150 and a conversion rate of 2.00-2.50%. Similarly, chacos.com and adsumnyc.com also outperformed wellgosh.com in terms of revenue, transactions, and sessions. However, wellgosh.com differentiated itself by offering a competitive AOV and conversion rate within the range of its top competitors, indicating potential for growth and market expansion.
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wellgosh.com channels
Identify top traffic channels that drive growth for wellgosh.comand discover how performance of traffic channels has changed over time.
wellgosh.com Google Ads spend
Evaluate wellgosh.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.
wellgosh.com devices
Review wellgosh.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
