bluorng.com revenue estimates

Estimation approach (sources: industry benchmarks, ecommerce performance metrics, web research): - Traffic baseline and distribution: I used publicly available third‑party traffic estimates and brand signals as the starting point and blended those with typical channel mixes for DTC fashion brands. SimilarWeb lists bluorng.com with ~177K total visits in the last month and shows Organic Search and Direct as the top channels; I used that total as the anchor for all traffic components and distributed channels according to the reported channel shares and typical industry patterns (industry benchmarks, web research). Based on SimilarWeb's channel callout that Organic Search ~35% and Direct ~35% of traffic, I estimated Organic Search = 35% of 177K => ~61.9K visitors and Direct ~34% => ~60.2K visitors; Social, Referral and Mail/Other make up the remainder. I adjusted the paid search estimate lower because the brand appears to lean on organic, social and influencer marketing rather than heavy paid search (brand positioning and web research). - Paid search: Because Bluorng is a niche premium streetwear DTC brand with visible emphasis on organic/social channels and limited signs of large ad spend (influencer/pop‑up strategy described in press and brand pages), I estimated paid search as a modest share (~6.8% of total) => ~12K visits/month (industry benchmarks for small–mid DTC fashion where paid search is present but not dominant). - Total traffic: Used the SimilarWeb total visits figure (~177K) as the best single publicly available estimate and kept that as total monthly traffic (web research / third‑party analytics). - Conversion rate: For DTC fashion/streetwear, public ecommerce benchmarks typically range 1.0–3.0% depending on maturity, UX and brand strength (ecommerce performance metrics). Bluorng is an emerging, growing brand (physical stores, active Instagram) but not a global household name, so I used a conservative mid‑range rate of 1.6% for the site (industry benchmarks and brand maturity signals). - Average order value (AOV): I reviewed product positioning and price signals from product listings and third‑party trackers indicating premium streetwear pricing (tops, hoodies, limited drops; Particl listing shows prices in higher ranges). Typical AOV for premium DTC apparel brands in India often sits between $50–$120 (industry benchmarks, web research). Converting likely INR price points to USD and balancing product mix (t‑shirts, hoodies, jackets), I set AOV ≈ $86. - Monthly revenue: Calculated as total monthly orders = total_traffic * conversion_rate; orders = 177,000 * 1.6% = 2,832 orders. Revenue = orders * AOV => 2,832 * $86 ≈ $243,552. Because Bluorng operates primarily in INR and a significant portion of traffic is likely browsing rather than checkout, and recognizing returns/discounting and omnichannel (offline sales not captured by website traffic), I discounted the pure online revenue estimate by ~32% to reflect returns, offline conversions, and over-estimate risk common in third‑party traffic-to-revenue extrapolations (industry adjustment). Applying that conservative discount yields an estimated monthly online revenue of ≈ $165,000 (rounded). - Primary currency: The brand is India‑based with physical stores and India‑focused coverage; primary operating and pricing currency is INR (web research, brand pages and store locations). Note: revenue estimate above is presented in USD per the request. - Industry / vertical: Product assortment, media coverage and brand positioning identify Bluorng as Fashion & Apparel—specifically premium streetwear / direct‑to‑consumer (web research, brand pages). Uncertainties and caveats: - The estimates rely on third‑party traffic snapshots and industry benchmarks rather than first‑party analytics; actual GA4/GA data could substantially differ (traffic, conversion, AOV). The SimilarWeb total visits value was used as the anchor; if that figure is incorrect, proportional estimates will shift accordingly (industry benchmarks, web research). - Paid vs organic split is inferred from channel share indications and public brand behavior (influencer/social focus) rather than disclosed ad budgets. - Revenue was conservatively discounted to account for returns, offline/omnichannel sales capture and typical overestimation when converting visits to revenue from third‑party totals (ecommerce performance metrics). If you want, I can: (a) produce an alternate scenario (low/median/high) with ranges, (b) re-run the numbers assuming a different conversion rate or AOV, or (c) break traffic by country/traffic source using plausible channel shares based on industry norms and the brand's India focus.