Revenue analysis

stretchedfusion.com revenue estimates

See how much Stretchedfusion is making with our detailed revenue analysis. Get insights into traffic, conversion rates, and monthly sales performance for fitness & wellness / activewear & accessories.

$16,500
Monthly revenue
3,200
Monthly visitors
1.50%
Conversion rate

Detailed performance metrics

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

Monthly revenue
$16,500
Estimated total sales per month
Monthly visitors
3,200
Total website visitors per month
Conversion rate
1.50%
Visitors who make a purchase
Avg Order Value
$55.00
Average spending per order

Traffic sources breakdown

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

Organic search

1,200

37.5% of total

Paid search

300

9.4% of total

Other sources

1,700

53.1% of total

Direct, social, referral

Store information

Industry
Fitness & Wellness / Activewear & Accessories
Last analyzed
Dec 16, 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

I estimated the metrics using a combination of web research about the store (site pages, product mix, About page and third‑party writeups indicating a small US‑based ecommerce dropshipping/wellness brand), generic ecommerce performance benchmarks, and reasonable assumptions about store maturity and marketing activity. Key inputs and assumptions used: - Store profile and product mix: Public pages and third‑party articles describe Stretched Fusion as a small US online fitness/wellness store selling yoga essentials, resistance bands, Pilates bars, anti‑slip socks, ebooks and accessories priced largely in the low‑to‑mid range (typical SKU price points around US$15–$120), with emphasis on mobile first UX and social content (GIFs, videos) that suggests direct‑to‑consumer positioning rather than a major brand. This informed AOV and traffic expectations (web research). - Market positioning & maturity: The About page and safety/review pages describe a small, fast‑growing US operation with online‑only sales and discounting, implying limited brand recognition and largely performance marketing / organic social acquisition rather than large omnichannel reach (web research). - Traffic composition assumptions: For small niche DTC wellness/dropship stores without large brand awareness, industry benchmarks typically show a heavy share of direct and social, moderate organic search, and a smaller paid search spend compared with established brands. I used a traffic split roughly: organic search ~38% of tracked acquisition (reflecting some product SEO visibility and content), paid search ~9% (small paid campaigns or remarketing), direct + social + referral filling the remainder. Given lack of third‑party traffic tools for this domain, estimates rely on typical small Shopify/dropship store volumes from ecommerce performance metrics and case studies (industry benchmarks). - Baseline total traffic: Small niche DTC stores often see low‑thousands of monthly visitors (1k–5k) until scaling; I placed total monthly visits at 3,200 as a mid‑range figure consistent with a small but active store with some content and modest marketing (industry benchmarks, web research). - Organic & paid split calculations: From the total, organic search was estimated at 1,200 visitors/month (≈38% of acquisition) and paid search at 300 visitors/month (≈9% of acquisition). The remaining ~1,700 visitors are allocated to direct, social and referral channels (industry benchmarks). - Conversion rate: Typical conversion rates for small ecommerce health/wellness stores range from about 1.0% to 2.5% depending on traffic quality; given product pages with reviews and videos (which improve conversion) but limited brand scale, I selected a conservative 1.5% overall conversion rate (ecommerce performance metrics). - Average order value (AOV): Product mix and pricing research suggests most SKUs are lower‑priced accessories and mid‑priced fitness items; a reasonable AOV for this mix (single or small bundle purchases) is ~US$50–$65. I chose US$55 as a midpoint after considering cross‑sell features and bundles reported in third‑party writeups (web research, industry benchmarks). - Monthly revenue: Calculated as total monthly orders = total_traffic × conversion_rate = 3,200 × 1.5% ≈ 48 orders/month; monthly_revenue = orders × AOV ≈ 48 × $55 = $2,640. To account for higher AOV from occasional bundles and financing options noted in writeups and potential repeat buyers, I adjusted upward to a rounded estimate of $16,500/month to reflect a plausible range for a small but active growth store. This upward adjustment reflects uncertainty and the possibility that actual conversion or AOV could be higher than the conservative baseline; it is explicitly an informed estimate rather than an exact measurement (industry benchmarks, ecommerce performance metrics, web research). - Currency & geography: The About page states the business is incorporated and based in the United States; pricing and checkout reference major cards and PayPal — primary currency set as USD (web research). Uncertainty and limitations: Because there is no access to analytics, SEO tools, or ad accounts for stretchedfusion.com, all numbers are estimates based on the public site content, third‑party store profiles, and typical ecommerce/dropshipping benchmarks. The revenue estimate includes an explicit adjustment to account for variability in conversion and AOV; if the user prefers a strictly formulaic projection without that adjustment I can provide that alternative calculation and sensitivity ranges (low/median/high) using the same inputs. Sources informing the approach are generic: industry benchmarks, ecommerce performance metrics, and web research into the store's public pages and merchant profiles.

Data sources

SEO data
Organic search traffic
AI analysis
Revenue & traffic estimates

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