lilyhair.com
lilyhair.com is a website that offers a variety of hair products and accessories for purchase. Their range of items includes different types of wigs, hair extensions, and hairpieces. They provide a wide selection of styles, colors, and lengths to cater to different customer preferences and needs.
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lilyhair.com Annual Revenue and Growth
lilyhair.com's annual sales on its online store amounted to $136.3K in 2025, down 0-5% from the previous year. For 2026, revenue is expected to grow by 10-20%. This suggests a turnaround from last year's decline.
lilyhair.com's monthly revenueOVER TIME
Over the past three months, lilyhair.com revenue has experienced decline of 22%, compared to the preceding three months.
lilyhair.com competitors
In January 2026, lilyhair.com reported a revenue of $11,385 from 58 transactions and 3,043 sessions, with an average order value (AOV) of $175-200 and a conversion rate of 1.50-2.00%. When compared to its competitors, lilyhair.com falls behind in revenue generation, with similar_domain thelaurenashtyncollection.com leading the pack at $271,767. However, lilyhair.com has a competitive AOV range similar to other competitors such as beautyworksonline.com and thelaurenashtyncollection.com. In terms of conversion rate, lilyhair.com is on par with most competitors, with the exception of youngsee.shop which has a higher conversion rate of 2.50-3.00%. Overall, lilyhair.com has room for growth in revenue generation and sessions compared to some of its competitors like uniwigs.com, but it remains competitive in terms of AOV and conversion rate within the industry.
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lilyhair.com channels
Identify top traffic channels that drive growth for lilyhair.comand discover how performance of traffic channels has changed over time.
lilyhair.com Google Ads spend
Evaluate lilyhair.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.
lilyhair.com devices
Review lilyhair.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
