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 22%, compared to the preceding three months.
favelaclothing.com competitors
In September 2026, olakala.de stands out with remarkable figures, generating revenue of $991,000 from 5,369 transactions and 268,000 sessions, achieving an impressive conversion rate of 2.00-2.50%. In comparison, favelaclothing.com generated $25,300 from 222 transactions and 38,200 sessions, with a conversion rate of 0.50-1.00%. While favelaclothing.com trails in revenue and transactions, it is closely aligned with freshhoods.com, which reported revenue of $25,200 and 157 transactions from 32,100 sessions, but a lower conversion rate of 0.00-0.50%. Moreover, pesoclo.com leads in sessions with 399,000, generating a substantial revenue of $383,000 and 2,299 transactions, while maintaining a conversion rate of 0.50-1.00%. Overall, favelaclothing.com ranks third across these metrics, reflecting its growing but modest position in a competitive market.
Revenue share by device at favelaclothing.com
In September 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.
