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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 20%, compared to the preceding three months.
bchicfashions.com competitors
In September 2025, bchicfashions.com outperformed its competitors in terms of revenue, transactions, and sessions. With a revenue of $77,706 from 96 transactions and 9,609 sessions, bchicfashions.com showcased a strong performance in comparison to its competitors. In contrast, ocsparkle.com generated $23,527 in revenue from 51 transactions and 2,867 sessions, ypsilon dresses.com had a revenue of $6,100 from 18 transactions and 2,757 sessions, and discountdressshop.com recorded a revenue of $10,485 from 72 transactions and 8,441 sessions. Although ocsparkle.com had a higher conversion rate of 1.50-2.00%, bchicfashions.com had a competitive conversion rate of 0.50-1.00% while offering a higher average order value (AOV) ranging from $800 to $825. Overall, bchicfashions.com demonstrated a superior performance across various metrics when compared to its competitors in the fashion e-commerce sector.
Revenue share by device at bchicfashions.com
In September large majority of sales on bchicfashions.com, 54% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 46% 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.
