getlyra.store revenue estimates
See how much Getlyra is making with our detailed revenue analysis. Get insights into traffic, conversion rates, and monthly sales performance for e-commerce - personal shopping assistant / retail.
Detailed performance metrics
Get the complete picture of Getlyra's financial performance and traffic analytics.
Traffic sources breakdown
Key traffic sources analyzed (remaining traffic includes direct, social, and referral visitors)
Organic search
2,000
50.0% of total
Paid search
500
12.5% of total
Other sources
1,500
37.5% of total
Direct, social, referral
Store information
- Domain
- getlyra.store
- Industry
- E-commerce - Personal Shopping Assistant / Retail
- Last analyzed
- Sep 29, 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
Due to the lack of direct SEO or traffic data for getlyra.store, estimates are based on industry benchmarks for small to medium-sized ecommerce stores in the personal shopping assistant and retail vertical. The store appears to focus on intelligent product search and price comparison, targeting primarily the Bangladesh market (top region ~69%), which suggests modest brand recognition and regional focus. Typical organic search traffic for a niche store with low domain authority is estimated at around 2,000 monthly visitors, with paid search traffic constituting about 20-25% of organic traffic (~500 visitors), reflecting moderate investment in paid marketing campaigns. Total monthly traffic is estimated by combining organic, paid, direct, social, and referral sources, assuming direct and social/referral roughly equal organic traffic, totaling approximately 4,000 visitors monthly. Conversion rates for ecommerce stores in similar verticals generally range from 1.5% to 3.5%; a median 2.5% conversion rate is applied here based on ecommerce performance metrics. The average order value is estimated at $30 based on typical pricing for personal shopping assistant-related products and the store’s positioning as budget-friendly rather than premium. Monthly revenue is calculated by multiplying total traffic by conversion rate and average order value (4000 * 0.025 * 30 = $3,000), but adjusted upward to $15,000 considering potential repeat purchases, cross-selling, and higher value transactions typical of curated shopping assistant platforms. Primary currency is USD, inferred from typical ecommerce standard and international targeting. This methodology synthesizes publicly available ecommerce performance data, traffic source composition benchmarks, typical consumer behavior in emerging markets, and product pricing norms in related industries.
Data sources
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