murderapparel.com
Murderapparel.com is an online platform offering apparel for sale. The website features a variety of clothing items including t-shirts, hoodies, and accessories. They provide a range of styles, designs, and sizes. All transactions are conducted through the online platform in compliance with applicable regulations.
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murderapparel.com's revenueOVER TIME
Over the past three months, murderapparel.com revenue has experienced decline of 24%, compared to the preceding three months.
murderapparel.com competitors
In May 2025, murderapparel.com outperformed its competitors in several key metrics. wickedclothes.com had a revenue of $41,038 with 610 transactions and 97,172 sessions, while femfetti.com had a revenue of $1,157 with 39 transactions and 2,388 sessions. truecrimeclothing.com had a revenue of $109 with 1 transaction and 106 sessions. In comparison, murderapparel.com had a revenue of $99,483 with 1,165 transactions and 56,122 sessions, indicating a higher level of sales and customer engagement. Additionally, murderapparel.com boasted an average order value (AOV) in the range of $75-100, which was on par with truecrimeclothing.com and higher than wickedclothes.com. The conversion rate for murderapparel.com ranged from 2.00-2.50%, surpassing all three competitors. These metrics demonstrate the strong performance of murderapparel.com in the online apparel market in May 2025.
Revenue share by device at murderapparel.com
In May large majority of sales on murderapparel.com, 67% was finalized on mobile devices, with 33% of sales coming from desktop devices.
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murderapparel.com channels
Identify top traffic channels that drive growth for murderapparel.comand discover how performance of traffic channels has changed over time.
murderapparel.com Google Ads spend
Evaluate murderapparel.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.
murderapparel.com devices
Review murderapparel.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
