pluggednyc.com
Plugged NYC is an e-commerce website that offers a wide range of products for sale. Their inventory includes apparel, accessories, and footwear for both men and women. Additionally, the website provides an online shopping platform and features a diverse collection of brands and products to cater to various fashion preferences.
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pluggednyc.com Annual Revenue and Growth
pluggednyc.com's annual sales on its online store amounted to $14K in 2025, down 20-50% from the previous year. For 2026, revenue is expected to grow by 10-20%. This suggests a turnaround from last year's decline.
pluggednyc.com's monthly revenueOVER TIME
Over the past three months, pluggednyc.com revenue has experienced decline of 11%, compared to the preceding three months.
pluggednyc.com competitors
In April 2026, pluggednyc.com generated a revenue of $1,754 from 22 transactions, with sessions totaling 1,149 and an Average Order Value (AOV) between $75-100, yielding a conversion rate of 1.50-2.00%. In comparison, apple.com reported astronomical revenues of $3,302,487,338 from 8,659,404 transactions, benefiting from 524,458,494 sessions and a significantly higher AOV of $375-400, while maintaining a similar conversion rate of 1.50-2.00%. Another competitor, focusonthefamily.com, generated $3,537,000 in revenue from 32,622 transactions, supported by 1,601,097 sessions and a higher AOV of $100-125, with a conversion rate of 2.00-2.50%. While pluggednyc.com has potential for growth, it clearly operates on a smaller scale compared to its formidable competitors in both revenue and transaction volume.
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pluggednyc.com channels
Identify top traffic channels that drive growth for pluggednyc.comand discover how performance of traffic channels has changed over time.
pluggednyc.com Google Ads spend
Evaluate pluggednyc.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.
pluggednyc.com devices
Review pluggednyc.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
