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 Annual Revenue and Growth
jolynclothing.com's annual sales on its online store amounted to $1.5M in 2025, down 50%+ from the previous year. For 2026, revenue is expected to decline by 50%+. The trend is expected to accelerate.
jolynclothing.com's monthly revenueOVER TIME
Over the past three months, jolynclothing.com revenue has experienced decline of 47%, compared to the preceding three months.
jolynclothing.com competitors
In April 2026, jolynclothing.com generated $49,761 from 409 transactions across 14,489 sessions, with an average order value (AOV) of $100-125 and a conversion rate of 2.50-3.00%. In comparison, jolyn.com led significantly with $1,421,335 in revenue from 3,668 transactions and 425,597 sessions, but had a lower conversion rate of 0.50-1.00%. roxy.com also outperformed jolynclothing.com, earning $1,133,001 from 10,373 transactions at a similar AOV but with a better conversion rate of 2.00-2.50%. vixpaulahermanny.com, while having a much higher AOV of $225-250, brought in $1,032,018 and a conversion rate of 3.00-3.50%. Meanwhile, bakuswimwear.com.au showed closer performance to jolynclothing.com with revenue of $35,682 and a conversion rate of 1.50-2.00%, indicating a niche competitive landscape.
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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.
