bigleagueshirts.com
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bigleagueshirts.com's monthly revenueOVER TIME
Over the past three months, bigleagueshirts.com revenue has experienced decline of 39%, compared to the preceding three months.
bigleagueshirts.com competitors
In October 2025, bigleagueshirts.com generated $19,230 in revenue from 137 transactions and 8,938 sessions, with an average order value (AOV) of $125-150 and a conversion rate of 1.50-2.00%. Comparing it to its competitors, teamsportswear.com had higher revenue of $23,066 from 293 transactions and 12,897 sessions, with a lower AOV of $75-100 but a slightly higher conversion rate of 2.00-2.50%. customjersey.com had lower revenue of $11,806 from 75 transactions and 6,405 sessions, with a higher AOV of $150-175 but a lower conversion rate of 1.00-1.50%. evo9x.com had even lower revenue of $9,921 from 109 transactions and 3,809 sessions, with a lower AOV of $75-100 but a higher conversion rate of 2.50-3.00%. In contrast, boombah.com had significantly higher revenue of $181,475 from 1,566 transactions and 91,759 sessions, with a mid-range AOV of $100-125 and a similar conversion rate of 1.50-2.00%. Finally, owayo.com stood out with the highest revenue of $529,613 from 3,817 transactions and 247,319 sessions, with a similar AOV of $125-150 and conversion rate of 1.50-2.00% as bigleagueshirts.com.
Revenue share by device at bigleagueshirts.com
In October large majority of sales on bigleagueshirts.com, 55% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 45% of sales coming from desktop devices.
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bigleagueshirts.com channels
Identify top traffic channels that drive growth for bigleagueshirts.comand discover how performance of traffic channels has changed over time.
bigleagueshirts.com Google Ads spend
Evaluate bigleagueshirts.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.
bigleagueshirts.com devices
Review bigleagueshirts.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
