cliphair.com
C cliphair.com is an online store offering various hair extensions and related accessories for purchase. The website ensures a wide range of options for users to choose from, including different lengths, colors, and styles. Additionally, tutorials, care instructions, and frequently asked questions pertaining to the products are available, courtesy of the website.
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cliphair.com's revenueOVER TIME
Over the past three months, cliphair.com revenue has experienced decline of 12%, compared to the preceding three months.
cliphair.com competitors
In May 2025, cliphair.com generated a revenue of $45,809 from 304 transactions and 28,600 sessions, with an average order value (AOV) ranging between $150-$175 and a conversion rate of 1.00-1.50%. Compared to its competitors, cliphair.com lags behind in revenue and transactions but has a higher conversion rate. glamseamless.com leads the pack with a revenue of $182,977 from 888 transactions and 63,910 sessions, with an AOV of $200-$225 and a similar conversion rate. luxyhair.com stands out with the highest revenue of $418,213 from 1,811 transactions and 219,664 sessions, offering a higher AOV of $225-$250. beautyworksonline.com and bellamiprofessional.com also outperform cliphair.com in revenue and transactions, while perfectlocks.com falls short in both revenue and conversion rate. Overall, cliphair.com can improve its performance in terms of revenue and transactions to compete more effectively in the market.
Revenue share by device at cliphair.com
In May large majority of sales on cliphair.com, 60% was finalized on desktop devices, with 40% of sales coming from mobile devices.
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cliphair.com channels
Identify top traffic channels that drive growth for cliphair.comand discover how performance of traffic channels has changed over time.
cliphair.com Google Ads spend
Evaluate cliphair.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.
cliphair.com devices
Review cliphair.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
