greedyunit.com revenue estimates
See how much Greedyunit is making with our detailed revenue analysis. Get insights into traffic, conversion rates, and monthly sales performance for streetwear fashion.
Detailed performance metrics
Get the complete picture of Greedyunit's financial performance and traffic analytics.
Traffic sources breakdown
Key traffic sources analyzed (remaining traffic includes direct, social, and referral visitors)
Organic search
1,500
18.8% of total
Paid search
2,500
31.3% of total
Other sources
4,000
50.0% of total
Direct, social, referral
Store information
- Domain
- greedyunit.com
- Industry
- Streetwear fashion
- Last analyzed
- Jan 22, 2026
Similar stores
About these estimates
Important disclaimer
These revenue estimates are calculated using industry standards, publicly available data, and AI analysis. The actual figures may differ significantly from our estimates. These numbers should be used for informational and competitive research purposes only, not for investment or business decisions.
How we calculate these estimates
Estimates derived from web research on greedyunit.com revealing a niche streetwear brand with urban apparel like t-shirts ($40-80), jeans ($100-200), hats, and accessories, indicating a premium positioning in the fashion vertical; store shows limited items (30 listed) and a countdown timer suggesting drops or new launches, pointing to early maturity with low brand recognition. Industry benchmarks for streetwear e-commerce used: average conversion rate of 2% for fashion DTC stores, AOV of $100-200 based on product pricing mix observed (e.g., tees and jeans dominate), with traffic composition typically 20% organic, 30% paid search/social, 20% direct, 15% referral, 15% other per ecommerce performance metrics. Total traffic estimated at 8,000 monthly visitors for small/medium Shopify fashion stores via public benchmarks; organic scaled from domain authority proxies (new/low visibility niche site), paid elevated due to competitive streetwear ad reliance; revenue calculated as total traffic × conversion rate × AOV, adjusted for 15% repeat rate benchmark and geographic focus on US/Europe inferred from product style and collaborations (e.g., TDR x GU). No direct SEO data available, so relied on comparable store averages from ecommerce analyses.
Data sources
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