pxclothing.com
PX Clothing is an online retail platform, offering a wide variety of clothing products for men, women, and children. The website features trendy and fashionable attire, including tops, bottoms, outerwear, and accessories. Various styles are available, catering to different tastes and preferences, making it a convenient destination for shoppers seeking clothing options for the whole family.
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pxclothing.com's revenueOVER TIME
Over the past three months, pxclothing.com revenue has experienced growth of 7.4%, compared to the preceding three months.
pxclothing.com competitors
In July 2025, pxclothing.com lags behind its competitors in terms of revenue, with only $5,196 compared to tejesta.com's $15,700 and analogwatchco.com's $9,266. Despite having a lower revenue, pxclothing.com has a higher number of transactions at 56, whereas analogwatchco.com has 47 and tejesta.com has 64. In terms of sessions, pxclothing.com has 4,921, while tejesta.com leads with 5,185 and analogwatchco.com follows with 5,494. The average order value (AOV) for pxclothing.com falls between $75-$100, which is lower than tejesta.com's $225-$250 and analogwatchco.com's $175-$200. However, pxclothing.com and tejesta.com share the same conversion rate of 1.00-1.50, while analogwatchco.com has a slightly lower rate at 0.50-1.00. Despite some areas of improvement, pxclothing.com remains competitive within the market.
Revenue share by device at pxclothing.com
In July large majority of sales on pxclothing.com, 59% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 41% of sales coming from desktop devices.
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pxclothing.com channels
Identify top traffic channels that drive growth for pxclothing.comand discover how performance of traffic channels has changed over time.
pxclothing.com Google Ads spend
Evaluate pxclothing.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.
pxclothing.com devices
Review pxclothing.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
