Gina Bacconi
ginabacconi.comGina Bacconi receives an EcomScout Rating of S (65/100), ranking #3,122 out of 352,660 Shopify stores we track. This Women's Clothing Fashion & Apparel store attracts 698.2K visits per year with estimated revenue of $204.7K - $443.6K/mo. It offers 997 products at an average price of $166.
Analysis by EcomScout Research Team · How we calculate ratings
Store Intelligence Summary
Traffic breakdown: direct 14%, referral 4%.
Product pricing: Average price of $166 (range: $40 – $499). Positioned in the premium segment.
Customer trust: Trustpilot score 3.8/5 based on 2 reviews. Good standing with customers.
Top markets: GB (90%), US (7%), DE (2%).
Best-selling product: Rileigh Floral Maxi Dress ($260). Other top sellers include Rihanna Tiered Maxi Dress, Roma Twist Knot Floral Dress, Rikki Floral Belt Tie Maxi Dress.
Women's Clothing Market Intelligence
Benchmark this competitor against the market
Competition Breakdown
Competitor Research Insights
- •The Women's Clothing market generates $4M/month across 950 stores
- •8% are enterprise stores (>$100K/mo) — achievable market
- •Top 10% of Women's Clothing stores earn $67K+/month
- •This store outperforms 94% of Women's Clothing competitors
- •Low average order value ($0) — consider bundling or upsells
- •72 enterprise stores (>$100K/mo) proves scalability in this market
Top Apps in Women's Clothing
Best Selling Products
#1Rileigh Floral Maxi Dress
$260
#2Rihanna Tiered Maxi Dress
$270
#3Roma Twist Knot Floral Dress
$140
#4Rikki Floral Belt Tie Maxi Dress
$280
#5Agatha Floral Chiffon Dress
$170
#6Adriana Floral Midi Dress
$170
#7Irma Asymmetrical Neckline Maxi Dress
$499
#8Nancie Floral Mesh Faux Wrap Dress
$150
#9Noreen Chiffon Floral Midi Dress
$150
#10Odelia Floral Print Midi Dress
$150
Range: $40 - $499
Rating Breakdown
Traffic Sources
Trustpilot Rating
2 reviews
Aggregated rating data only. Individual reviews not displayed for privacy compliance.
Top Countries
Analysis
Strengths
- High business quality and trust indicators
- High-quality product catalog
Weaknesses
- Marketing efficiency and ROI need improvement
Recommendations
- Start building your keyword presence: invest in SEO content and consider PPC campaigns to establish visibility
Shopify Theme
Tech Stack & Apps
Browse All Apps →Shopify Apps Detected (3)
Similar Stores
View all →Frequently Asked Questions About Gina Bacconi
Is Gina Bacconi a dropshipping store or a legitimate brand?
Based on our dropshipping detection analysis, Gina Bacconi is classified as "Unlikely Dropshipper". This store shows minimal signs of dropshipping based on our policy analysis.
Is Gina Bacconi safe to buy from? Is it a scam?
Gina Bacconi has a Trustpilot rating of 3.8/5 based on 2 customer reviews. Customer experiences are mixed. Research thoroughly and check return policies before purchasing. Our EcomScout rating is S (65/100).
What is Gina Bacconi's EcomScout rating and what does it mean?
Gina Bacconi has an EcomScout rating of S (65/100). This Shopify store rating evaluates performance across revenue estimates, traffic volume, customer reviews, and business quality. This indicates a top-performing store worth studying for competitor analysis.
How much traffic and revenue does Gina Bacconi generate?
Gina Bacconi receives approximately 698.2K visits per year with estimated monthly revenue of $204.7K - $443.6K/mo. These Shopify store analytics are estimates based on SimilarWeb data and our proprietary algorithms.
What Shopify apps and theme does Gina Bacconi use?
We detected 3 Shopify apps on Gina Bacconi, including Shop, Klaviyo: Email Marketing & SMS, Block.Use our Shopify spy tool to discover which apps drive successful stores.
How can I use this Women's Clothing store data for competitor research?
This Shopify competitor analysis helps you benchmark your store against Gina Bacconi. Study their traffic sources, pricing strategy, best-selling products, and tech stack. As a Women's Clothing store, compare their performance metrics to similar stores in your niche.Install our Chrome extension to spy on any Shopify store while browsing.
