tokens-icons.com
Tokens-icons.com is a website that offers a wide range of unique products for sale. They specialize in repurposing and transforming nostalgic tokens, such as game coins and subway tokens, into everyday items like cufflinks, wallets, and jewelry. Customers can find a variety of collections that capture a piece of history and individuality.
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tokens-icons.com's revenueOVER TIME
Over the past three months, tokens-icons.com revenue has experienced decline of 46%, compared to the preceding three months.
tokens-icons.com competitors
In May 2025, tokens-icons.com, with a revenue of $10,640 from 36 transactions and 4,299 sessions, had an average order value (AOV) ranging between $275-300 and a conversion rate of 0.50-1.00%. Compared to its competitors, fcgoods.com generated slightly higher revenue of $11,662 from 61 transactions and 2,837 sessions, with an AOV of $175-200 and a conversion rate of 2.00-2.50%. On the other hand, lakingsgameused.com outperformed both tokens-icons.com and fcgoods.com significantly, with a revenue of $35,733 from 59 transactions and 3,011 sessions. The AOV for lakingsgameused.com was much higher at $600-625, while the conversion rate fell within the range of 1.50-2.00%. Despite tokens-icons.com's solid performance, it may benefit from analyzing strategies employed by competitors like lakingsgameused.com to improve its revenue and conversion rates.
Revenue share by device at tokens-icons.com
In May large majority of sales on tokens-icons.com, 52% was finalized on mobile devices, with 48% of sales coming from desktop devices.
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tokens-icons.com channels
Identify top traffic channels that drive growth for tokens-icons.comand discover how performance of traffic channels has changed over time.
tokens-icons.com Google Ads spend
Evaluate tokens-icons.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.
tokens-icons.com devices
Review tokens-icons.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
