dnafootwear.com
DNAfootwear.com is an online platform offering a wide range of footwear options for all genders. Their inventory consists of shoes from popular brands and various styles, including sneakers, boots, sandals, and heels. The site provides an easy browsing experience with available filters for size, color, and price range.
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dnafootwear.com's revenueOVER TIME
Over the past three months, dnafootwear.com revenue has experienced decline of 42%, compared to the preceding three months.
dnafootwear.com competitors
In May 2025, dnafootwear.com reported revenue of $32,733 with 190 transactions and 10,187 sessions, boasting an average order value (AOV) of $150-$175 and a conversion rate of 1.50-2.00%. Comparing this data to its competitors, vans.com leads the pack with a revenue of $16,995,330 from 141,325 transactions and 7,985,233 sessions, offering an AOV of $100-$125. 1birkenstockcostamesa.com follows with $12,876 in revenue from 73 transactions and 1,851 sessions, featuring an AOV of $175-$200. blundstone.com stands out with $1,291,056 in revenue from 4,998 transactions and 390,821 sessions, showcasing an AOV of $250-$275. nativeshoes.com and kamik.com fall behind with $315,596 and $51,494 in revenue respectively, each with varying transaction numbers, session counts, AOV, and conversion rates. DNA Footwear competes well in terms of revenue and conversion rate but lags behind in sessions and AOV compared to some competitors.
Revenue share by device at dnafootwear.com
In May large majority of sales on dnafootwear.com, 72% was finalized on desktop devices, with 28% of sales coming from mobile devices.
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dnafootwear.com channels
Identify top traffic channels that drive growth for dnafootwear.comand discover how performance of traffic channels has changed over time.
dnafootwear.com Google Ads spend
Evaluate dnafootwear.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.
dnafootwear.com devices
Review dnafootwear.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
