goexapparel.com
Goexapparel.com is an online platform that offers sustainable and ethically-made apparel. They sell a wide variety of clothing items, ranging from t-shirts to hoodies, with a focus on comfort and durability. Their products are made to reduce environmental impact, utilizing eco-friendly materials and fair labor practices throughout their supply chain.
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goexapparel.com's revenueOVER TIME
Over the past three months, goexapparel.com revenue has experienced growth of 43%, compared to the preceding three months.
goexapparel.com competitors
In June 2025, goexapparel.com outperformed its competitor rockablock.com in terms of revenue, transactions, sessions, and conversion rate. While goexapparel.com generated a revenue of $9,551 from 114 transactions and 4,532 sessions with a conversion rate of 2.50-3.00%, rockablock.com only earned $256 from 3 transactions and 538 sessions with a conversion rate of 0.00-0.50%. Both websites had a similar average order value (AOV) range of $75-100. However, goexapparel.com's significantly higher revenue, transactions, sessions, and conversion rate indicate a stronger performance and higher level of customer engagement compared to rockablock.com. This suggests that goexapparel.com may have more effective marketing strategies, user experience, and product offerings than its competitor in the online apparel retail industry.
Revenue share by device at goexapparel.com
In June large majority of sales on goexapparel.com, 78% was finalized on desktop devices, with 22% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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goexapparel.com channels
Identify top traffic channels that drive growth for goexapparel.comand discover how performance of traffic channels has changed over time.
goexapparel.com Google Ads spend
Evaluate goexapparel.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.
goexapparel.com devices
Review goexapparel.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
