evercollection.nyc
beautiful sunglasses, new styles, & durable materials. sold worldwide. browse the latest collections from ever. our brand is created for fashionable men & women who want to add some flavor to their wardrobe.
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evercollection.nyc Annual Revenue and Growth
evercollection.nyc's annual sales on its online store amounted to $21K in 2025, down 20-50% from the previous year. For 2026, revenue is expected to grow by 20-50%. This suggests a turnaround from last year's decline.
evercollection.nyc's monthly revenueOVER TIME
Over the past three months, evercollection.nyc revenue has experienced decline of 62%, compared to the preceding three months.
evercollection.nyc competitors
In April 2026, evercollection.nyc generated a revenue of $1,527 from 25 transactions across 1,544 sessions, resulting in a conversion rate of 1.50-2.00% and an average order value (AOV) of $50-75. In contrast, johnjacobseyewear.com significantly outperformed with $91,352 in revenue from 1,833 transactions over 130,758 sessions, achieving a conversion rate of 1.00-1.50% and a lower AOV of $25-50. Similarly, spectra479.com recorded $70,695 in revenue with 1,259 transactions over 20,824 sessions, showcasing a remarkably high conversion rate of 6.00-6.50% while maintaining an AOV also within the $50-75 range. While evercollection.nyc shows a strong average order value, its overall performance pales in comparison to its competitors, particularly in revenue and transaction volume, indicating a need for improved traffic and conversion strategies to enhance its market presence.
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evercollection.nyc channels
Identify top traffic channels that drive growth for evercollection.nycand discover how performance of traffic channels has changed over time.
evercollection.nyc Google Ads spend
Evaluate evercollection.nyc's Google search ad spend, ad clicks and cost-per-click. Review performance over time and gain deeper view into their ad campaign spend.
evercollection.nyc devices
Review evercollection.nyc's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
