Analyzing the 385K that succeeded so you can learn from their patterns.
📊 ecomscout.com
Full country data: ecomscout.com/reports/country
Starting with European markets first, then US/AU.
Which EU country would be most helpful? 🇬🇧 🇫🇷 🇩🇪 🇮🇹 🇪🇸?
#ecommerceEU #dropshipping #DTC #ecommercedata
Full country data: ecomscout.com/reports/country
Starting with European markets first, then US/AU.
Which EU country would be most helpful? 🇬🇧 🇫🇷 🇩🇪 🇮🇹 🇪🇸?
#ecommerceEU #dropshipping #DTC #ecommercedata
🇦🇺 Australia: $19.4K avg
🇺🇸 USA: $15.7K avg
🇬🇧 UK: $9.6K avg (best in EU)
🇨🇦 Canada: $5K avg
Australia's smaller market (18.9K stores) beats everyone on average revenue.
#ecommerceglobal #USecommerce #ecommerce #Shopify
🇦🇺 Australia: $19.4K avg
🇺🇸 USA: $15.7K avg
🇬🇧 UK: $9.6K avg (best in EU)
🇨🇦 Canada: $5K avg
Australia's smaller market (18.9K stores) beats everyone on average revenue.
#ecommerceglobal #USecommerce #ecommerce #Shopify
🇩🇪 Germany: $5K/year
🇪🇸 Spain: $4.9K/year
🇮🇹 Italy: $3.9K/year
🇫🇷 France: $3.9K/year (lowest)
UK stores make 2.4x more than French stores on average.
Why? Language, consumer spending, market maturity.
#ecommerceUK #ecommerceFrance #GermanyEcommerce #dropshipping
🇩🇪 Germany: $5K/year
🇪🇸 Spain: $4.9K/year
🇮🇹 Italy: $3.9K/year
🇫🇷 France: $3.9K/year (lowest)
UK stores make 2.4x more than French stores on average.
Why? Language, consumer spending, market maturity.
#ecommerceUK #ecommerceFrance #GermanyEcommerce #dropshipping
- 1.1M+ stores analyzed (385K active)
- 30 country reports
- Daily trending products
- Revenue & traffic data
- Tech stack insights
- Vertical performance
Full reports: ecomscout.com
Happy to share what I'm learning.
#data
- 1.1M+ stores analyzed (385K active)
- 30 country reports
- Daily trending products
- Revenue & traffic data
- Tech stack insights
- Vertical performance
Full reports: ecomscout.com
Happy to share what I'm learning.
#data
Successful stores spend $15K-50K/month on ads.
They tested 6-12 months first.
Australia: 20-30% of revenue on ads
US: 25-35% of revenue
If you're "testing" with $2K total, you're exploring, not scaling.
#digitalmarketing
Successful stores spend $15K-50K/month on ads.
They tested 6-12 months first.
Australia: 20-30% of revenue on ads
US: 25-35% of revenue
If you're "testing" with $2K total, you're exploring, not scaling.
#digitalmarketing
1. Health & Beauty: 31% profitable
2. Home & Garden: 28%
3. Sports & Outdoors: 24%
4. Electronics: 22%
5. Fashion & Apparel: 18%
Stop following the crowd. Follow the margins.
#ecommercetrends
1. Health & Beauty: 31% profitable
2. Home & Garden: 28%
3. Sports & Outdoors: 24%
4. Electronics: 22%
5. Fashion & Apparel: 18%
Stop following the crowd. Follow the margins.
#ecommercetrends
11.1K stores, underserved market
$5K avg revenue (room to grow)
Low competition:
- Outdoor/Camping
- Specialty Food & Beverage
- Health supplements
English-speaking, close to US suppliers, familiar behavior.
Smart entry point.
11.1K stores, underserved market
$5K avg revenue (room to grow)
Low competition:
- Outdoor/Camping
- Specialty Food & Beverage
- Health supplements
English-speaking, close to US suppliers, familiar behavior.
Smart entry point.
Top stores use:
- Klaviyo for email (67%)
- Judge for reviews (54%)
- ReCharge for subscriptions (41%)
Regional differences:
🇬🇧 UK loves Yotpo
🇩🇪 Germany: Klarna
🇫🇷 France: PayPlug
Localize your stack.
Top stores use:
- Klaviyo for email (67%)
- Judge for reviews (54%)
- ReCharge for subscriptions (41%)
Regional differences:
🇬🇧 UK loves Yotpo
🇩🇪 Germany: Klarna
🇫🇷 France: PayPlug
Localize your stack.
13.8K stores, only $3.9K avg revenue
Why so low?
- Amazon dominates French ecommerce
- Shopify less popular (WooCommerce leads)
- Different payment preferences
Lesson: Platform dominance varies by country. Research first.
13.8K stores, only $3.9K avg revenue
Why so low?
- Amazon dominates French ecommerce
- Shopify less popular (WooCommerce leads)
- Different payment preferences
Lesson: Platform dominance varies by country. Research first.
I track real-time Amazon movers + Google Trends.
Right now: Owala water bottles up 800%+
By the time it's "trending" on YouTube/TikTok, window is closed.
First-mover advantage is real but small (2-3 weeks max).
#dropshipping
I track real-time Amazon movers + Google Trends.
Right now: Owala water bottles up 800%+
By the time it's "trending" on YouTube/TikTok, window is closed.
First-mover advantage is real but small (2-3 weeks max).
#dropshipping
UK: 9.4K stores, $9.6K avg
DE: 19.1K stores, $5K avg
Germany has 2x stores but HALF the revenue.
Why?
- UK: Higher consumer spending
- Better English marketing reach
- Stronger DTC culture
#ecommercetips
UK: 9.4K stores, $9.6K avg
DE: 19.1K stores, $5K avg
Germany has 2x stores but HALF the revenue.
Why?
- UK: Higher consumer spending
- Better English marketing reach
- Stronger DTC culture
#ecommercetips
18.9K stores, $286M annually
$7.9K average per store
Strong verticals:
- Electronics & Tech (JB Hi-Fi dominates)
- Fashion: 40% better than global avg
- Outdoor/Camping surprisingly strong
English-speaking + high purchasing power = opportunity
18.9K stores, $286M annually
$7.9K average per store
Strong verticals:
- Electronics & Tech (JB Hi-Fi dominates)
- Fashion: 40% better than global avg
- Outdoor/Camping surprisingly strong
English-speaking + high purchasing power = opportunity
🇺🇸 US: $15.7K avg (220K stores)
🇦🇺 AU: $7.9K avg (18.9K stores)
🇬🇧 UK: $9.6K avg (9.4K stores)
🇨🇦 CA: $5K avg (11.1K stores)
🇩🇪 DE: $5K avg (19.1K stores)
🇫🇷 FR: $3.9K avg (13.8K stores)
Market selection matters.
🇺🇸 US: $15.7K avg (220K stores)
🇦🇺 AU: $7.9K avg (18.9K stores)
🇬🇧 UK: $9.6K avg (9.4K stores)
🇨🇦 CA: $5K avg (11.1K stores)
🇩🇪 DE: $5K avg (19.1K stores)
🇫🇷 FR: $3.9K avg (13.8K stores)
Market selection matters.
Home & Garden
- Only 12% of stores
- But 28% profitability rate
- Higher AOV: $150+ vs $89 avg
- Lower return rates
Everyone chases fashion. Smart operators build in less crowded verticals with better economics.
Home & Garden
- Only 12% of stores
- But 28% profitability rate
- Higher AOV: $150+ vs $89 avg
- Lower return rates
Everyone chases fashion. Smart operators build in less crowded verticals with better economics.
Fashion & Apparel: 40% of stores
- Only 18% profitable
- High competition, thin margins
Health & Beauty: 22% of stores
- 31% profitability (highest!)
- Strong repeat purchases
- Subscriptions work well
#ecommercebusiness
Fashion & Apparel: 40% of stores
- Only 18% profitable
- High competition, thin margins
Health & Beauty: 22% of stores
- 31% profitability (highest!)
- Strong repeat purchases
- Subscriptions work well
#ecommercebusiness
Three patterns emerged:
- Monthly traffic: 50K+ visits (10x average)
- Conversion rate: 3.2% vs 1.8% avg
- Average order: $127 vs $89
The math: 50K × 3.2% × $127 = $203K/month
Three patterns emerged:
- Monthly traffic: 50K+ visits (10x average)
- Conversion rate: 3.2% vs 1.8% avg
- Average order: $127 vs $89
The math: 50K × 3.2% × $127 = $203K/month
Out of 1.1M stores, only 35% made revenue. That means 65% made $0.
Of the 385K that made money:
- Average: $32.6K/year ($2,700/month)
- That's BEFORE costs
Most are running a side hustle, not a business.
Out of 1.1M stores, only 35% made revenue. That means 65% made $0.
Of the 385K that made money:
- Average: $32.6K/year ($2,700/month)
- That's BEFORE costs
Most are running a side hustle, not a business.