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 5-10%. 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 growth of 68%, compared to the preceding three months.
lilyhair.com competitors
The competitive set includes lilyhair.com, thelaurenashtyncollection.com, hairdreamstapes.com, beautyworksonline.com, and uniwigs.com. In July 2026, lilyhair.com generated $20,100 from 90 transactions across 2,828 sessions, with an average order value (AOV) between $200-225 and a conversion rate of 3.00-3.50%. In comparison, uniwigs.com leads significantly with $919,000 in revenue, 1,819 transactions, and 227,000 sessions, leaving lilyhair.com trailing by $899,000 in revenue, 1,729 transactions, and 224,000 sessions. While lilyhair.com has a higher conversion rate than most competitors, it ranks fourth overall, indicating room for growth against thelaurenashtyncollection.com and beautyworksonline.com as well.
Industries lilyhair.com operates in
lilyhair.com is tracked across 4 e-commerce industries. Explore market size, leading retailers and benchmarks for each.
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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.
