runawayclothes.com
runawayclothes.com offers a variety of clothing items for sale online. The website includes products such as tops, bottoms, dresses, outerwear, and accessories. It provides options for both men and women, aiming to cater to a diverse customer base. The site focuses on providing a range of fashionable items for individuals looking to update their wardrobe.
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runawayclothes.com Annual Revenue and Growth
runawayclothes.com's annual sales on its online store amounted to $28.3K in 2024, down 20-50% from the previous year. For 2025, revenue is expected to grow by 5-10%. This suggests a turnaround from last year's decline.
runawayclothes.com's monthly revenueOVER TIME
Over the past three months, runawayclothes.com revenue has experienced growth of 4.7%, compared to the preceding three months.
runawayclothes.com competitors
In August 2025, comparing runawayclothes.com to its competitor stylestruck.com.au, we can see that stylestruck.com.au generated higher revenue at $5,090 compared to runawayclothes.com's $3,396. However, both had the same number of transactions at 49. Despite this, runawayclothes.com had more sessions at 2,922 compared to stylestruck.com.au's 2,388. The average order value (AOV) for stylestruck.com.au was higher at $100-125, while runawayclothes.com's AOV was $50-75. In terms of conversion rate, stylestruck.com.au outperformed runawayclothes.com with a range of 2.00-2.50% compared to runawayclothes.com's 1.50-2.00%. Overall, stylestruck.com.au had higher revenue, AOV, and conversion rate, while runawayclothes.com had more sessions.
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runawayclothes.com channels
Identify top traffic channels that drive growth for runawayclothes.comand discover how performance of traffic channels has changed over time.
runawayclothes.com Google Ads spend
Evaluate runawayclothes.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.
runawayclothes.com devices
Review runawayclothes.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
