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cottonflowerclothing.com Annual Revenue and Growth
cottonflowerclothing.com's annual sales on its online store amounted to $521.1K in 2024, up 50%+ from the previous year. For 2025, revenue is expected to decline by 0-5%. This would mark a reversal from last year's growth.
cottonflowerclothing.com's monthly revenueOVER TIME
Over the past three months, cottonflowerclothing.com revenue has experienced decline of 41%, compared to the preceding three months.
cottonflowerclothing.com competitors
In October 2025, cottonflowerclothing.com outperformed its competitors in terms of revenue, with a total of $18,897 compared to Tanya Marie Design's $8,268 and Bandi Wear's $5,527. cottonflowerclothing.com also had the highest number of transactions at 183, followed by Bandi Wear with 121 and Tanya Marie Design with 18. In terms of sessions, cottonflowerclothing.com had the highest at 7,062, while Bandi Wear had 5,210 and Tanya Marie Design had 1,092. The Average Order Value (AOV) for cottonflowerclothing.com ranged between $100-125, whereas Tanya Marie Design's AOV was significantly higher at $450-475 and Bandi Wear's AOV was lower at $25-50. In conversion rates, cottonflowerclothing.com was within the range of 2.50-3.00%, while Tanya Marie Design was at 1.50-2.00% and Bandi Wear at 2.00-2.50%.
Revenue share by device at cottonflowerclothing.com
In October large majority of sales on cottonflowerclothing.com, 59% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 41% of sales coming from desktop devices.
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cottonflowerclothing.com channels
Identify top traffic channels that drive growth for cottonflowerclothing.comand discover how performance of traffic channels has changed over time.
cottonflowerclothing.com Google Ads spend
Evaluate cottonflowerclothing.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.
cottonflowerclothing.com devices
Review cottonflowerclothing.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
