Revenue analysis

maisonmaia.co.uk revenue estimates

See how much Maisonmaia is making with our detailed revenue analysis. Get insights into traffic, conversion rates, and monthly sales performance for online fashion apparel (luxury outerwear / coats and jackets).

£5,400
Monthly revenue
900
Monthly visitors
1.50%
Conversion rate

Detailed performance metrics

Get the complete picture of Maisonmaia's financial performance and traffic analytics.

Monthly revenue
£5,400
Estimated total sales per month
Monthly visitors
900
Total website visitors per month
Conversion rate
1.50%
Visitors who make a purchase
Avg Order Value
£400.00
Average spending per order

Traffic sources breakdown

Key traffic sources analyzed (remaining traffic includes direct, social, and referral visitors)

Organic search

207

23.0% of total

Paid search

70

7.8% of total

Other sources

623

69.2% of total

Direct, social, referral

Store information

Industry
Online fashion apparel (luxury outerwear / coats and jackets)
Last analyzed
Jan 10, 2026

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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

1) Site and product analysis: The site positions itself as a **luxury jackets/coat brand**, highlighting “elegant, luxury jackets” and “exquisite craftsmanship” for special occasions.[3][6] Product pages show premium outerwear with pricing in GBP, indicating a **UK‑focused, mid‑to‑premium fashion** positioning.[3][6] The store runs on Shopify and appears relatively young, with external trust‑checkers mentioning an age around 1.3 years and a low popularity score (1/100), suggesting limited brand recognition and early‑stage traffic scale.[1][5] 2) Traffic scale anchoring from reliable SEO data: The given **207 organic visitors/month** from reliable SEO data is used as the baseline. For small, early‑stage DTC fashion brands, industry benchmarks and ecommerce performance metrics often show that **organic search is a minority of total traffic**, with direct, social, and paid making up the rest. For very low‑visibility brands with weak popularity scores, ratios tend to be modest rather than aggressive. 3) Estimating traffic composition: - Industry benchmarks for small fashion Shopify stores (low brand awareness) often show **organic search at ~15–30% of total traffic**, depending on how active paid and social are. Using the 207 organic visitors as ~23% of total leads to a total traffic estimate around **900 visits/month** (207 / 0.23 ≈ 900). This places the store at a very small but plausible scale for a young, niche premium outerwear brand. - For similar low‑volume apparel sites, **paid search** is often modest, frequently in the range of 20–40% of organic volume when budgets are cautious and trust signals are mixed. Given trust‑score warnings and low popularity, it is unlikely the store is investing heavily in ads.[1][2][5] Taking paid search at about **one‑third of organic** yields ≈70 paid search visitors/month (207 × 0.33 ≈ 68, rounded to 70). - The remaining traffic (≈623 visitors) is attributed to direct, social, and referral, consistent with typical patterns where social and direct dominate for visually driven fashion brands using social feeds and influencer style content. 4) Conversion rate estimation: - Industry benchmarks for **fashion/apparel ecommerce** often show conversion rates around **1–3%**, with luxury or higher‑priced items typically at the **lower half** of that range due to higher consideration and fewer impulse purchases. - For a small, relatively unknown luxury outerwear brand, a **conservative conversion rate** slightly below the broad fashion average is reasonable. Given the price point, narrow product range, and low trust scores, an estimated **1.5% conversion rate** fits ecommerce performance benchmarks for early‑stage premium apparel brands rather than the 2–3% seen in established mid‑market apparel. 5) Average order value (AOV) estimation: - Product pages and messaging show focus on **single, high‑value coats/jackets** as statement pieces rather than large baskets of low‑priced items.[3][6] - Premium outerwear in the UK market commonly sits in the **£200–£500** range per item in DTC boutique brands. With a single primary item per order typical for coats, an estimated **AOV ≈ £350–£400** is consistent with the positioning and language used on site. - Converting an assumed mid‑range AOV of **£350–£420** to USD using a typical recent FX range results in approximately **$400** as a rounded AOV estimate. This aligns with luxury‑leaning but not ultra‑luxury outerwear. 6) Revenue back‑calculation and consistency check: - Using total traffic ≈900 visits/month and a **1.5%** conversion rate yields about **13–14 orders/month** (900 × 0.015 ≈ 13.5). - Multiplying by the **$400** AOV gives an estimated **$5,400/month** in revenue (13.5 × 400 ≈ 5,400). - This volume (low double‑digit monthly orders) is consistent with a small, low‑traffic, niche Shopify store with limited brand awareness and warning flags on external trust‑review tools.[1][2][5] 7) Primary currency and geographic focus: - The storefront uses **GBP pricing** and a .co.uk domain, indicating a primary focus on the UK market and **GBP as the main transaction currency**.[3][4][7] 8) Industry/vertical classification: - The catalog consists of coats and jackets framed as luxury fashion pieces for various occasions.[3][6] This places the store in **online fashion apparel**, specifically **luxury outerwear / coats and jackets**. 9) Caveats and uncertainty: All non‑organic metrics (paid traffic, total traffic, conversion, revenue, AOV) are **estimates derived from reliable SEO data for organic traffic, combined with industry benchmarks, ecommerce performance metrics, and public observations of the website’s pricing, positioning, and maturity**. Actual figures may differ significantly based on unobserved factors such as real ad spend levels, email marketing performance, repeat purchase rates, and seasonality, which are not visible from public data.

Data sources

SEO data
Organic search traffic
AI analysis
Revenue & traffic estimates

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