bellelily.com
Bellelily.com is an online retailer that offers a wide range of clothing, accessories, and lifestyle products for women. Their inventory includes dresses, tops, swimwear, lingerie, shoes, as well as jewelry and home decor items. They strive to provide customers with fashionable and affordable options for various occasions and personal styles.
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bellelily.com's revenueOVER TIME
Over the past three months, bellelily.com revenue has experienced decline of 26%, compared to the preceding three months.
bellelily.com competitors
In May 2025, bellelily.com lags behind its competitors in terms of revenue, transactions, sessions, and average order value (AOV). ggblue.com leads the pack with a revenue of $10,007, 50 transactions, and 2,119 sessions, along with an AOV of $175-200. fairyseason.com closely mirrors bellelily.com with a revenue of $1,904, 24 transactions, and 969 sessions, but boasts a higher conversion rate of 2.50-3.00. bellewholesale.com outshines bellelily.com with a revenue of $8,421, 89 transactions, and 4,359 sessions, alongside a similar AOV. While bellelily.com has a competitive conversion rate of 1.00-1.50, it falls short compared to fairyseason.com's and bellewholesale.com's conversion rates of 2.50-3.00 and 2.00-2.50 respectively. bellelily.com will need to focus on increasing its revenue, transactions, and sessions to compete effectively with its counterparts in the online retail space.
Revenue share by device at bellelily.com
In May large majority of sales on bellelily.com, 59% was finalized on desktop devices, with 41% of sales coming from mobile devices.
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bellelily.com channels
Identify top traffic channels that drive growth for bellelily.comand discover how performance of traffic channels has changed over time.
bellelily.com Google Ads spend
Evaluate bellelily.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.
bellelily.com devices
Review bellelily.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
