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bchicfashions.com Annual Revenue and Growth
bchicfashions.com's annual sales on its online store amounted to $758.2K in 2024, up 10-20% from the previous year. For 2025, revenue is expected to grow by 50%+. The trend is expected to accelerate.
bchicfashions.com's monthly revenueOVER TIME
Over the past three months, bchicfashions.com revenue has experienced decline of 33%, compared to the preceding three months.
bchicfashions.com competitors
In August 2025, bchicfashions.com outperformed its competitors in terms of revenue, with a total of $79,819, while ocsparkle.com had $21,816, ypsilondresses.com had $4,688, and discountdressshop.com had $12,815. In terms of transactions, bchicfashions.com had 96 transactions, compared to 47 for ocsparkle.com, 15 for ypsilondresses.com, and 86 for discountdressshop.com. The website also had the highest number of sessions with 10,487, compared to 3,318 for ocsparkle.com, 2,780 for ypsilondresses.com, and 12,368 for discountdressshop.com. Additionally, bchicfashions.com had a higher Average Order Value (AOV) range of $825-$850, whereas ocsparkle.com had $450-$475, ypsilondresses.com had $300-$325, and discountdressshop.com had $125-$150. While bchicfashions.com had a conversion rate of 0.50-1.00, ocsparkle.com had 1.00-1.50, ypsilondresses.com had 0.50-1.00, and discountdressshop.com had 0.50-1.00.
Revenue share by device at bchicfashions.com
In August large majority of sales on bchicfashions.com, 52% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 48% of sales coming from desktop devices.
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bchicfashions.com channels
Identify top traffic channels that drive growth for bchicfashions.comand discover how performance of traffic channels has changed over time.
bchicfashions.com Google Ads spend
Evaluate bchicfashions.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.
bchicfashions.com devices
Review bchicfashions.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
