dikotomy.com
launched in 2007, with #goals of creating fresh styles in premium fabrics and classic fits at a price that won’t leave you low-key broke. rooted in california. west coast vibin’. modern styling. savage graphics. we are dikotomy. want to be part of the conversation? follow, share & shop @dikotomyclothing
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dikotomy.com Annual Revenue and Growth
dikotomy.com's annual sales on its online store amounted to $43.2K in 2025, up 5-10% from the previous year. For 2026, revenue is expected to decline by 10-20%. This would mark a reversal from last year's growth.
dikotomy.com's monthly revenueOVER TIME
Over the past three months, dikotomy.com revenue has experienced growth of 119%, compared to the preceding three months.
dikotomy.com competitors
In May 2026, dikotomy.com generated $4,665 in revenue from 53 transactions over 2,773 sessions, with an average order value (AOV) of $75-$100 and a conversion rate of 1.50-2.00%. In contrast, aloyoga.com reported significantly higher performance, with revenue of $170,874,536 and 593,281 transactions from nearly 18.7 million sessions, boasting an AOV of $275-$300 and a conversion rate of 3.00-3.50%. gap.com also outperformed dikotomy.com, achieving $225,213,966 in revenue, driven by over 2 million transactions across nearly 97 million sessions. Additionally, asos.com showed substantial revenue at $91,596,950, with 680,227 transactions and a conversion rate of 1.00-1.50%. While spreadshirt.com matched dikotomy.com's conversion rate, it surpassed it in revenue and transactions. Lastly, kingsofny.com had a marginally better performance than dikotomy.com but remained below in overall revenue.
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dikotomy.com channels
Identify top traffic channels that drive growth for dikotomy.comand discover how performance of traffic channels has changed over time.
dikotomy.com Google Ads spend
Evaluate dikotomy.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.
dikotomy.com devices
Review dikotomy.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
