rubyribbon.com
Ruby Ribbon is a website offering a wide range of clothing and accessories for women. They sell products such as tops, dresses, leggings, and shapewear. The website focuses on providing comfortable and flattering options, using innovative technologies and fabrics to enhance womens silhouettes.
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rubyribbon.com's revenueOVER TIME
Over the past three months, rubyribbon.com revenue has experienced growth of 85%, compared to the preceding three months.
rubyribbon.com competitors
In August 2025, Ruby Ribbon, with a revenue of $104,033 from 1,035 transactions and 50,155 sessions, has an average order value (AOV) ranging from $100 to $125 and a conversion rate of 2.00% to 2.50%. Compared to its competitors, May Arts leads in revenue with $131,942, 731 transactions, and 23,583 sessions, boasting an AOV of $175 to $200 and a conversion rate of 3.00% to 3.50%. Lysse follows closely with $422,592 in revenue, 2,875 transactions, and 67,454 sessions, offering an AOV of $125 to $150 and a high conversion rate of 4.00% to 4.50%. Ruby Love and Ruby & Jenna fall behind in revenue and metrics, with Ruby Love at $43,232 revenue, 267 transactions, 27,364 sessions, AOV of $150 to $175, and a conversion rate of 0.50% to 1.00%, and Ruby & Jenna at $26,524 revenue, 186 transactions, 7,009 sessions, AOV of $125 to $150, and a conversion rate of 2.50% to 3.00%.
Revenue share by device at rubyribbon.com
In August large majority of sales on rubyribbon.com, 56% was finalized on mobile devices (mobile web only, excluding app usage, if relevant), with 44% of sales coming from desktop devices.
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rubyribbon.com channels
Identify top traffic channels that drive growth for rubyribbon.comand discover how performance of traffic channels has changed over time.
rubyribbon.com Google Ads spend
Evaluate rubyribbon.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.
rubyribbon.com devices
Review rubyribbon.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
