chi.com
CHI.com is an online platform offering a wide range of products for hair care and styling needs. Their inventory consists of haircare equipment, such as flat irons, hair dryers, curling irons, and brushes. The website also provides products like shampoos, conditioners, treatments, and styling essentials for all hair types.
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chi.com Annual Revenue and Growth
chi.com's annual sales on its online store amounted to $532K in 2025, down 10-20% from the previous year. For 2026, revenue is expected to grow by 50%+. This suggests a turnaround from last year's decline.
chi.com's monthly revenueOVER TIME
Over the past three months, chi.com revenue has experienced growth of 40%, compared to the preceding three months.
chi.com competitors
In August 2026, chi.com trails significantly in revenue, generating $77,600 compared to cosmoprofbeauty.com, which leads with $25.8 million. chi.com recorded 763 transactions, far behind cosmoprofbeauty.com’s 72,900, indicating a substantial difference in sales volume. Although chi.com received 155,000 sessions, it surpasses beautycarechoices.com, which had 97,700 sessions, while trailing behind beautybrands.com and t3micro.com. chi.com’s average order value (AOV) ranges from $100-125, aligning with t3micro.com but falling below beautybrands.com’s $125-150. Conversion rates reveal chi.com at 0.00-0.50%, which trails well behind competitors like cosmoprofbeauty.com at 13.00-13.50%, demonstrating a need for improvement in customer engagement and sales effectiveness.
Industries chi.com operates in
chi.com is tracked across 4 e-commerce industries. Explore market size, leading retailers and benchmarks for each.
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chi.com channels
Identify top traffic channels that drive growth for chi.comand discover how performance of traffic channels has changed over time.
chi.com Google Ads spend
Evaluate chi.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.
chi.com devices
Review chi.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
