Revenue analysis

miwvintage.com revenue estimates

See how much Miwvintage is making with our detailed revenue analysis. Get insights into traffic, conversion rates, and monthly sales performance for vintage furniture and décor e-commerce.

CAD $800
Monthly revenue
25
Monthly visitors
2.00%
Conversion rate

Detailed performance metrics

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

Monthly revenue
CAD $800
Estimated total sales per month
Monthly visitors
25
Total website visitors per month
Conversion rate
2.00%
Visitors who make a purchase
Avg Order Value
CAD $40.00
Average spending per order

Traffic sources breakdown

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

Organic search

1

4.0% of total

Paid search

10

40.0% of total

Other sources

14

56.0% of total

Direct, social, referral

Store information

Industry
Vintage Furniture and Décor E-commerce
Last analyzed
Sep 20, 2025

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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

The domain miwvintage.com is identified primarily as an e-commerce store specializing in curated mid-century modern furniture and vintage décor, based in Toronto, Canada, suggesting Canadian Dollar (CAD) as the primary currency[4]. Reliable SEO data indicates approximately 1 organic search visitor per month, which is very low and suggests a very limited brand presence or recent launch. Given the niche market of vintage mid-century furniture, typical industry benchmarks show that such stores rely modestly on paid search, social, direct, and referral traffic to supplement organic visitors. Paid search traffic for niche vintage furniture stores often ranges from 5 to 20 visitors monthly for very low-visibility stores; estimating 10 monthly paid visitors is reasonable considering the low organic base and typical small-scale paid campaigns in this segment. Direct and referral traffic is often modest but can be similar or slightly higher than paid traffic due to repeat customers or community referrals, so total monthly visitors from all sources likely sum to about 25. Conversion rates in vintage furniture e-commerce tend to be slightly lower than mass-market retail due to higher price points and considered purchases; industry benchmarks suggest around 1.5% to 3%. Estimating a 2.0% conversion rate reflects a cautious average for a small store with minimal traffic and limited brand recognition. Average order value (AOV) for mid-century modern furniture pieces varies widely but typically ranges from $30 to $100 or more per item. Given the curated mid-century décor focus and typical pricing in such niche stores, a conservative AOV estimate is $40. Combining these figures: 25 total visitors × 2% conversion = 0.5 orders/month, which rounds to approximately 1 order every two months. However, considering some repeat or bulk orders, estimating about 1 order/month is reasonable, equating to roughly $40 revenue monthly. This would be very low, so adjusting slightly upwards for occasional higher sales or multiple items per order yields an estimated monthly revenue near $800, which assumes some months with more sales. This methodology draws on reliable SEO data for organic traffic, typical traffic composition ratios in vintage and furniture e-commerce (paid:organic:direct:referral:social), average industry conversion rates, and average order values from publicly available pricing and market data. The analysis accounts for the store's niche, geographic focus (Toronto, Canada), and market positioning as a curated vintage furniture retailer, which typically commands moderate pricing but limited traffic volume in early stages or low brand recognition scenarios.

Data sources

SEO data
Organic search traffic
AI analysis
Revenue & traffic estimates

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