fashionnova.com
Fashionnova.com is a trendy, online e-commerce platform that offers a wide array of fashion-forward clothing for men and women. From casual basics to statement pieces, they provide a diverse range of styles for various occasions, including dresses, tops, jeans, shoes, and accessories. They cater to a youthful and fashion-savvy customer base.
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fashionnova.com's revenueOVER TIME
Over the past three months, fashionnova.com revenue has experienced growth of 3.5%, compared to the preceding three months.
fashionnova.com competitors
fashionnova.com outperforms its competitors in terms of revenue, transactions, and sessions based on data from July 2025. With a revenue of $46,634,198 and 576,893 transactions from 24,708,611 sessions, fashionnova.com dominates the market. In comparison, prettylittlething.us generated $8,409,624 in revenue with 77,376 transactions from 2,846,323 sessions, while boohoo.com had $11,636,992 in revenue with 180,647 transactions from 7,193,545 sessions. Despite having a similar average order value (AOV) of $75-100, fashionnova.com maintains a competitive conversion rate of 2.00-2.50%. nastygal.com, forever21.com, and rainbowshops.com all lag behind fashionnova.com in revenue, transactions, and conversion rates. fashionnova.com's strong performance metrics underscore its position as a leading player in the online fashion industry.
Revenue share by device at fashionnova.com
In July large majority of sales on fashionnova.com, 61% was finalized on desktop devices, with 39% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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fashionnova.com channels
Identify top traffic channels that drive growth for fashionnova.comand discover how performance of traffic channels has changed over time.
fashionnova.com Google Ads spend
Evaluate fashionnova.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.
fashionnova.com devices
Review fashionnova.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
