GRIPS CUSTOMERS & RESEARCH PARTNERS
bchicfashions.com Annual Revenue and Growth
bchicfashions.com's annual sales on its online store amounted to $1.3M in 2025, up 50%+ from the previous year. For 2026, revenue is expected to decline by 50%+. This would mark a reversal from last year's growth.
bchicfashions.com's monthly revenueOVER TIME
Over the past three months, bchicfashions.com revenue has experienced decline of 38%, compared to the preceding three months.
bchicfashions.com competitors
In April 2026, bchicfashions.com outperformed its competitors with a revenue of $89,312, significantly higher than ocsparkle.com, which generated $14,424, and discountdressshop.com with $25,653. The site achieved 148 transactions over 11,601 sessions, leading to an average order value (AOV) of $600-625 and a conversion rate of 1.00-1.50%. In comparison, ocsparkle.com had 30 transactions from 1,825 sessions, resulting in a lower AOV of $475-500 and a conversion rate of 1.50-2.00%. While ocsparkle.com had a slightly better conversion rate, its overall revenue and transactions fell short. discountdressshop.com, despite higher sessions at 19,028, had a much lower AOV of $125-150 and a conversion rate of 0.50-1.00%, indicating a less effective sales performance. Overall, bchicfashions.com stands out in terms of revenue and average order value among its competitors.
Revenue share by device at bchicfashions.com
In April 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.
