GRIPS CUSTOMERS & RESEARCH PARTNERS
favelaclothing.com Annual Revenue and Growth
favelaclothing.com's annual sales on its online store amounted to $1.9M in 2024, down 20-50% from the previous year. For 2025, revenue is expected to decline by 20-50%. The trend is expected to accelerate.
favelaclothing.com's monthly revenueOVER TIME
Over the past three months, favelaclothing.com revenue has experienced growth of 6.3%, compared to the preceding three months.
favelaclothing.com competitors
In November 2025, favelaclothing.com generated $99,704 in revenue from 833 transactions with 140,887 sessions. Their average order value (AOV) ranged from $100-$125, and they had a conversion rate of 0.50-1.00%. Comparing this data to its competitors, freshhoods.com had revenue of $34,413 from 224 transactions with 48,769 sessions, AOV of $150-$175, and a conversion rate of 0.00-0.50%. pesoclo.com outperformed with $1,037,152 revenue from 6,562 transactions and 1,141,610 sessions, AOV of $150-$175, and a conversion rate of 0.50-1.00%. olakala.de had even higher numbers with $1,635,611 revenue from 10,359 transactions and 457,811 sessions, AOV of $150-$175, and an impressive conversion rate of 2.00-2.50%. Overall, favelaclothing.com falls behind its competitors in terms of revenue and sessions, but remains competitive in terms of AOV and conversion rate.
Revenue share by device at favelaclothing.com
In November 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.
