girlandhair.com
Girlandhair.com is an online platform that sells a range of haircare products formulated specifically for the needs of women with various hair types and textures. The website provides a wide selection of hair care solutions such as shampoos, conditioners, leave-in treatments, and hair vitamins aimed at maintaining healthy and hydrated hair.
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girlandhair.com's revenueOVER TIME
Over the past three months, girlandhair.com revenue has experienced growth of 26%, compared to the preceding three months.
girlandhair.com competitors
In July 2025, girlandhair.com had a revenue of $14,570 with 278 transactions and 14,765 sessions, resulting in an average order value (AOV) of $50-75 and a conversion rate of 1.50-2.00%. Comparing this data to its competitors, faithinnature.co.uk leads in revenue with $76,419, 1,447 transactions, and 102,746 sessions, but with a lower conversion rate of 1.00-1.50%. dghair.com surpasses all with a revenue of $87,863, 666 transactions, and 25,121 sessions, boasting a higher AOV of $125-150 and a conversion rate of 2.50-3.00%. chagrinvalleysoapandsalve.com also stands out with a revenue of $112,589, 1,580 transactions, and 53,309 sessions, alongside a competitive AOV of $50-75 and a conversion rate of 2.50-3.00%. Overall, girlandhair.com holds its ground among its competitors with steady metrics across the board.
Revenue share by device at girlandhair.com
In July large majority of sales on girlandhair.com, 68% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 32% of sales coming from desktop devices.
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girlandhair.com channels
Identify top traffic channels that drive growth for girlandhair.comand discover how performance of traffic channels has changed over time.
girlandhair.com Google Ads spend
Evaluate girlandhair.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.
girlandhair.com devices
Review girlandhair.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
