toms.com
Toms.com is an online retail platform offering a variety of products. Their inventory consists of footwear, eyewear, and apparel for men, women, and children. Additionally, Toms.com features a range of accessories, including bags and jewelry. The website provides a convenient and user-friendly shopping experience for customers.
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toms.com's revenueOVER TIME
Over the past three months, toms.com revenue has experienced growth of 4.9%, compared to the preceding three months.
toms.com competitors
In July 2025, toms.com reported a revenue of $3,714,459 with 37,756 transactions and 1,857,384 sessions, boasting an average order value (AOV) of $75-$100 and a conversion rate of 2.00-2.50%. When compared to its competitors, dresscodeclothing.com generated $66,167 in revenue with 438 transactions and 52,803 sessions, having a higher AOV of $150-$175 but a lower conversion rate of 0.50-1.00%. flojos.com earned $10,890 in revenue from 145 transactions and 11,645 sessions, sharing a similar AOV of $75-$100 as toms.com, but with a slightly higher conversion rate of 1.00-1.50%. viscata.com performed well with $175,120 revenue, 854 transactions, and 49,326 sessions, showcasing a higher AOV of $200-$225 and conversion rate of 1.50-2.00%. clarksusa.com and vionicshoes.com also displayed varying performance metrics compared to toms.com and each other in terms of revenue, transactions, sessions, AOV, and conversion rate.
Revenue share by device at toms.com
In July large majority of sales on toms.com, 58% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 42% of sales coming from desktop devices.
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toms.com channels
Identify top traffic channels that drive growth for toms.comand discover how performance of traffic channels has changed over time.
toms.com Google Ads spend
Evaluate toms.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.
toms.com devices
Review toms.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
