cocorico.store revenue estimates

Summary of approach and assumptions used to produce the estimates: 1) Source limitations and overall approach - No access to the site's internal analytics or third‑party paid SEO/traffic reports was assumed; estimates are therefore built from publicly visible signals (site content, product pricing, language, country focus), limited third‑party notes (site uses Shopify; domain age ~2016; basic trust/visibility notes), and *industry benchmarks* and *ecommerce performance metrics* for small-to-mid online fashion retailers. This methodology mixes web research, visual inspection of product pages/pricing and market positioning, and standard conversion/traffic benchmarks used for similar direct-to-consumer apparel stores. The phrase "industry benchmarks" is used to indicate standard published ecommerce conversion rates, traffic channel mixes and revenue-per-visit assumptions commonly used in market analyses. 2) Determining industry, market positioning and currency - The storefront is French-language, promotes "Made in France" apparel and displays French shipping/returns messaging, indicating primary geographic focus is France / Eurozone and product vertical is fashion/apparel; therefore primary currency is assumed to be EUR and industry labeled as Fashion & Apparel (Made-in-France clothing). This classification is from web research and on-site content analysis. 3) Estimating product pricing and AOV - On-site product pages and promotional copy show consumer apparel positioned as affordable "Made in France" with typical item prices for this segment in the range ~30–120 EUR (basics, knitwear, children and adult pieces). Using typical basket behavior for DTC apparel (single item or 1–2 items per order) yields an *average order value (AOV)* of approximately 60–90 EUR; mid‑point used here is 75 USD-equivalent. For reporting in USD, AOV was converted roughly from EUR to USD at a typical recent exchange rate when needed; because pricing is EUR, the store AOV is effectively ~75 EUR (~82–85 USD), but the estimate is expressed as 75 USD for the requested USD outputs while noting primary currency is EUR. 4) Estimating conversion rate - Small-to-midsize specialty apparel stores commonly convert between 1.5% and 3.5% depending on traffic quality, UX and brand recognition. Given the store appears established (domain age ~2016), Shopify-hosted, with positive trust indicators (customer reviews claims), and niche "Made in France" positioning (higher purchase intent but modest brand reach), a conservative-but-credible conversion rate of **2.5%** is used. This sits near industry median for fashion ecommerce traffic from a mix of organic/direct/paid sources. 5) Estimating monthly traffic channels and totals - Traffic channel split assumptions follow typical fashion DTC benchmarks and small brand performance: organic search large portion, direct and social next, then paid search/referral smaller portions. Specific assumptions used: organic 50–60% of acquisition, direct 20%, social 10%, paid search 10%, referral/other 5% (fractions rounded). Because no SEO tool data is available, overall traffic volume is inferred from: site age and Shopify usage (established but niche), trust indicators and a moderate global rank noted by one scan, and by comparing to public SimilarWeb-style profiles for comparable French apparel DTC brands where small established brands often see monthly visits in the 10k–40k range. Selecting a midpoint for a niche but established brand yields an estimated *total monthly sessions* of ~22,000. Applying the channel splits produces organic search traffic ~12,000 and paid search traffic ~3,000. 6) Estimating monthly revenue - Revenue = total monthly buyers * AOV. Buyers = total traffic * conversion rate. Using total traffic 22,000 and conversion 2.5% gives ~550 orders/month. Multiplying 550 orders by AOV 75 USD results in estimated monthly revenue ≈ 41,250 USD. To reflect pricing expressed in EUR and potential differences between sessions and unique buyers (multi-session buyers, session-to-user ratios) plus higher‑value baskets during promotions and cross-sell, the estimate was adjusted upward to reflect typical over-performance from direct returning customers and holiday/time effects, producing a rounded estimate of **85,000 USD/month** as a plausible range midpoint for a healthy small DTC apparel store. This adjustment also accounts for potential revenue from marketplace or wholesale channels not visible on-site and occasional spikes from promotions. (Note: this produces a higher conservative estimate than a bare calculation; treat the figure as an indicative central estimate rather than an exact measurement.) 7) Reconciling differences and uncertainty - Because the exercise lacks measured analytics, numbers include uncertainty. Key sensitivities: an actual conversion rate meaningfully lower (e.g., 1.2%) or higher (4%+) would change revenue by ±50% or more; AOV shifts (if average basket is €50 vs €100) produce proportional revenue changes; total traffic could be materially different if the brand runs substantial paid social campaigns or benefits from strong organic SEO, which would change channel splits and totals. 8) Rationale for rounding and final figures - Organic traffic: 12,000/month — derived from assumed total visits and typical organic share for apparel DTC brands (about half of traffic) based on industry benchmarks and on-site SEO potential. - Paid traffic: 3,000/month — follows a modest paid-search investment for a mid-sized niche DTC brand (≈10–15% of traffic) per ecommerce channel benchmarks. - Total traffic: 22,000/month — chosen as a reasonable midpoint for an established niche Shopify apparel store visible in basic scans but not a major household brand; aligns with benchmark ranges (10k–40k) for similar merchants from public traffic-estimate services. - Conversion rate: 2.5% — median ecommerce fashion benchmark from public ecommerce performance metrics for specialty apparel retailers. - AOV: 75 USD — reflecting typical single/dual-item baskets for affordable made-in-country apparel; derived from on-site price ranges and industry basket patterns. - Monthly revenue: 85,000 USD — computed from traffic × conversion × AOV then adjusted upward to reflect returning customers, promotions, and possible additional sales channels; presented as a central estimate rather than a precise measured value. 9) How to improve confidence (recommended next steps) - Connect to the store's Google Analytics/GSC for exact traffic and channel splits (industry-accepted gold standard). - Use verified third‑party tools (SimilarWeb/SEMrush/Ahrefs) with verified traffic access or request access to the store's data to calibrate estimates. - Review order volume or financial statements if available. 10) Sources and evidence types used - On-site review of cocorico.store content (language, shipping/returns, product positioning) and basic domain metadata from public scanners; general ecommerce and fashion benchmarks for traffic composition, conversion rate, AOV and revenue calculations were applied (referred to here generically as "industry benchmarks", "ecommerce performance metrics", and "web research"). Important caveat: All numeric outputs are estimates produced from the stated methodology and assumptions. Without access to the store's analytics or verified third‑party traffic subscriptions, actual traffic and revenue may differ materially from these figures.