GRIPS CUSTOMERS & RESEARCH PARTNERS
favelaclothing.com Annual Revenue and Growth
favelaclothing.com's annual sales on its online store amounted to $1M in 2025, down 20-50% from the previous year. For 2026, revenue is expected to decline by 50%+. The trend is expected to accelerate.
favelaclothing.com's monthly revenueOVER TIME
Over the past three months, favelaclothing.com revenue has experienced decline of 55%, compared to the preceding three months.
favelaclothing.com competitors
In April 2026, favelaclothing.com generated a revenue of $24,460 from 187 transactions, with sessions totaling 54,911. Its average order value (AOV) ranges between $125-150 and it has a low conversion rate of 0.00-0.50%. In contrast, freshhoods.com reported significantly higher revenue at $82,189 from 478 transactions and slightly fewer sessions at 52,021, resulting in a conversion rate of 0.50-1.00%. Meanwhile, pesoclo.com achieved remarkable success with $316,663 in revenue, 2,121 transactions, and a conversion rate of 0.50-1.00%, despite having a much higher number of sessions at 353,323. Leading the competitors, olakala.de reported an impressive $636,353 in revenue from 3,894 transactions, and a robust conversion rate of 2.00-2.50% across 193,739 sessions. Overall, favelaclothing.com trails behind its competitors in revenue, transactions, and conversion efficiency.
Revenue share by device at favelaclothing.com
In April large majority of sales on favelaclothing.com, 83% was finalized on desktop devices, with 17% of sales coming from mobile devices (mobile web only, excluding app usage, if relevant).
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favelaclothing.com channels
Identify top traffic channels that drive growth for favelaclothing.comand discover how performance of traffic channels has changed over time.
favelaclothing.com Google Ads spend
Evaluate favelaclothing.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.
favelaclothing.com devices
Review favelaclothing.com's performance across desktop and mobile devices. Analyze how revenue, conversion rate, transactions, AOV and sessions vary depending on the device shoppers use.
