heapls.com revenue estimates
See how much Heapls is making with our detailed revenue analysis. Get insights into traffic, conversion rates, and monthly sales performance for furniture & homeware.
Detailed performance metrics
Get the complete picture of Heapls's financial performance and traffic analytics.
Traffic sources breakdown
Key traffic sources analyzed (remaining traffic includes direct, social, and referral visitors)
Organic search
50,000
71.4% of total
Paid search
5,000
7.1% of total
Other sources
15,000
21.4% of total
Direct, social, referral
Store information
- Domain
- heapls.com
- Industry
- Furniture & Homeware
- Last analyzed
- Sep 21, 2025
Similar stores
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
Since no direct SEO or traffic data is available for heapls.com, estimates were derived using industry benchmarks and comparable ecommerce data from a similar domain, heals.com, which operates in the Furniture & Homeware vertical primarily in the UK market. Heals.com reported approximately $39.3 million revenue in 2024, indicating a mature, premium furniture ecommerce business with a mostly national UK focus. Typical ecommerce traffic composition for this industry and region suggests organic search accounts for about 70-75% of total traffic, paid search around 7-10%, with the rest from direct, social, and referral sources. Average conversion rates in furniture ecommerce range between 3-5%, with premium stores tending toward the higher end. Average order value for furniture and homeware is typically $60-$100, here estimated conservatively at $65 due to the premium nature of the product mix. Currency is inferred as GBP given the UK focus. Total monthly traffic was estimated by back-calculating from revenue using average order value and conversion rate, then allocating traffic sources based on industry traffic distribution benchmarks for ecommerce furniture sites. This approach combines publicly available ecommerce performance metrics, market positioning insights, and typical traffic behavior for similar stores to provide a reasoned estimate.
Data sources
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