jolynclothing.com
Jolynclothing.com offers an online platform for customers to purchase a variety of clothing items. They specialize in swimwear and activewear, selling a selection of stylish and functional products. The website allows users to browse and purchase their desired items conveniently from the comfort of their own homes.
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jolynclothing.com's revenueOVER TIME
Over the past three months, jolynclothing.com revenue has experienced growth of 45%, compared to the preceding three months.
jolynclothing.com competitors
In May 2025, jolynclothing.com, with a revenue of $188,880 from 1,420 transactions and 20,819 sessions, boasts an average order value (AOV) of $125-150 and a conversion rate of 6.50-7.00%. Compared to its competitors, vixpaulahermanny.com leads the pack with a revenue of $555,607 from 2,485 transactions and 181,058 sessions, featuring an AOV of $200-225 but a lower conversion rate of 1.00-1.50%. jolyn.com outperforms with a revenue of $2,557,652 from 6,456 transactions and 439,755 sessions, showcasing the highest AOV of $375-400 among the competitors but similar conversion rates. bond-eye.com follows with $132,596 revenue from 646 transactions and 29,291 sessions, offering an AOV of $200-225 and a conversion rate of 2.00-2.50%. roxy.com records $1,036,188 revenue from 8,485 transactions and 291,134 sessions, with an AOV of $100-125 and a conversion rate of 2.50-3.00%. Finally, bakuswimwear.com.au generates $26,888 revenue from 201 transactions and 25,861 sessions, aligning closely with jolynclothing.com in terms of AOV and conversion rate.
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jolynclothing.com channels
Identify top traffic channels that drive growth for jolynclothing.comand discover how performance of traffic channels has changed over time.
jolynclothing.com Google Ads spend
Evaluate jolynclothing.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.
jolynclothing.com devices
Review jolynclothing.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
