neatapparel.com
NeatApparel.com is an e-commerce platform that offers a range of clothing items for both men and women. Their inventory includes a diverse selection of apparel like shirts, hoodies, tank tops, and dresses, along with various accessories. The products are designed to cater to different tastes, styles, and sizes.
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neatapparel.com's revenueOVER TIME
Over the past three months, neatapparel.com revenue has experienced growth of 83%, compared to the preceding three months.
neatapparel.com competitors
In May 2025, neatapparel.com generated a revenue of $20,456 with 376 transactions and 12,867 sessions, resulting in an Average Order Value (AOV) of $50-75 and a conversion rate of 2.50-3.00%. Compared to its competitors, neatapparel.com falls behind in terms of revenue and transactions. The closest competitor, wearnumi.com, outperformed neatapparel.com with a revenue of $104,444, 763 transactions, and 48,170 sessions. However, neatapparel.com had a higher conversion rate compared to most competitors, indicating a better ability to turn sessions into transactions. Despite lagging behind in revenue, neatapparel.com remains competitive in terms of AOV and conversion rate when compared to thompsontee.com, sweatshieldundershirt.com, kleinerts.com, and lawrencehuntfashion.com. This data provides insight into how neatapparel.com stacks up against its competitors in the online apparel market in May 2025.
Revenue share by device at neatapparel.com
In May large majority of sales on neatapparel.com, 55% was finalized on mobile devices, with 45% of sales coming from desktop devices.
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neatapparel.com channels
Identify top traffic channels that drive growth for neatapparel.comand discover how performance of traffic channels has changed over time.
neatapparel.com Google Ads spend
Evaluate neatapparel.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.
neatapparel.com devices
Review neatapparel.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
