pelicancoastclothing.com
preppy mens and boys clothing and accessories brand with a southern coastal look. featuring new orleans made buttondown shirts, t-shirts, belts and bags.
GRIPS CUSTOMERS & RESEARCH PARTNERS
pelicancoastclothing.com Annual Revenue and Growth
pelicancoastclothing.com's annual sales on its online store amounted to $62.4K in 2025, up 20-50% from the previous year. For 2026, revenue is expected to grow by 50%+. The trend is expected to accelerate.
pelicancoastclothing.com's monthly revenueOVER TIME
Over the past three months, pelicancoastclothing.com revenue has experienced growth of 57%, compared to the preceding three months.
pelicancoastclothing.com competitors
In March 2026, pelicancoastclothing.com generated a revenue of $30,988 from 288 transactions and 15,290 sessions, with an Average Order Value (AOV) ranging from $100-125 and a conversion rate of 1.50-2.00%. In comparison, coastfashion.com outperformed Pelican Coast Clothing with a revenue of $1,834,780 from 19,019 transactions and 1,167,776 sessions, with an AOV of $75-100 and a similar conversion rate. itsfornow.com had a revenue of $19,855 from 72 transactions and 3,516 sessions, with a higher AOV of $275-300 and a conversion rate of 2.00-2.50%. nolacouture.com generated $8,252 from 116 transactions and 3,509 sessions, with a lower AOV of $50-75 but a higher conversion rate of 3.00-3.50%. wmlambandson.com had the lowest revenue at $674 from 8 transactions and 348 sessions, with an AOV of $75-100 and a conversion rate of 2.00-2.50%.
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pelicancoastclothing.com channels
Identify top traffic channels that drive growth for pelicancoastclothing.comand discover how performance of traffic channels has changed over time.
pelicancoastclothing.com Google Ads spend
Evaluate pelicancoastclothing.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.
pelicancoastclothing.com devices
Review pelicancoastclothing.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
