SoftTr Market Share & Real Store Usage

Explore 1.4k verified e-commerce stores built on SoftTr. Compare platform usage, available contact fields, PSP/carrier signals, and merchant-size segments.

Detected across 1.4k domains. 1.4k verified as active stores with physical delivery.

Verified stores
1.4k
active stores with physical delivery
Top country
Turkey
1,361 verified stores
Top payment signal
MasterCard
11 stores detected
Top carrier signal
DHL
23 stores detected
Top category
Clothing & Accessories
162 verified stores

This is a public preview. Use the catalog, exports, or API for full account lists and CRM-ready fields.

· · Next full refresh: July 2026

1.4k verified active stores out of 1.4k detected · 99.3% verification rate

Categories Distribution

Clothing & Accessories stores with 13.2% of all stores (162 stores) , followed by Home & Garden (12.6%) and Food & Beverages (11.5%) .

Base: 1,230 AI-verified stores with physical delivery and detected product categories (90.2% of all verified stores). Percentages show share of stores within each category.

Top 10 Categories

Clothing & Accessories 13.2%

162 stores

Home & Garden 12.6%

155 stores

Food & Beverages 11.5%

142 stores

Business & Industrial 9.0%

111 stores

Electronics & Technology 8.8%

108 stores

Health & Beauty 7.2%

89 stores

Tools & Hardware 6.3%

78 stores

Vehicles & Parts 6.1%

75 stores

Jewelry & Watches 4.0%

49 stores

Furniture & Home Decor 3.9%

48 stores

Visual Distribution

Distribution of top 10 SoftTr store categories (June 2026)
Distribution of categories in SoftTr e-commerce stores
Category Number of Stores Percentage
Clothing & Accessories 162 13.17%
Home & Garden 155 12.60%
Food & Beverages 142 11.54%
Business & Industrial 111 9.02%
Electronics & Technology 108 8.78%
Health & Beauty 89 7.24%
Tools & Hardware 78 6.34%
Vehicles & Parts 75 6.10%
Jewelry & Watches 49 3.98%
Furniture & Home Decor 48 3.90%

Payment Providers Distribution

MasterCard stores with 55.0% among AI-verified physical stores (11 stores) , followed by MasterPass (10.0%) and VISA (10.0%) .

Base: 17 AI-verified physical stores with detectable payment providers (1.2% coverage of all stores). Percentages show share of detected provider instances (stores may use multiple providers).

Detected from checkout/payment scripts and provider tags; off-site/manual payments excluded where undetectable.

Top 10 Payment Providers

11 stores

2 stores

VISA 10.0%

2 stores

Bolt 5.0%

1 stores

Koin 5.0%

1 stores

JCB 5.0%

1 stores

1 stores

1 stores

Visual Distribution

Distribution of top 10 SoftTr payment providers (June 2026)
Distribution of payment providers in SoftTr e-commerce stores
Payment Provider Store Count Market Share
MasterCard 11 55.00%
MasterPass 2 10.00%
VISA 2 10.00%
Bolt 1 5.00%
Koin 1 5.00%
JCB 1 5.00%
American Express 1 5.00%
BitCoin 1 5.00%

Shipping Carriers Distribution

DHL stores with 36.5% among AI-verified physical stores (23 stores) , followed by UPS (34.9%) and Hermes (12.7%) .

Base: 59 AI-verified physical stores with detectable shipping carriers (4.3% coverage of all stores). Percentages show share of detected carrier instances (stores may use multiple carriers).

Detected from checkout/shipping pages and shipment widgets; cross-border carriers included where visible.

Top 10 Shipping Carriers

DHL 36.5%

23 stores

UPS 34.9%

22 stores

Hermes 12.7%

8 stores

GLS 3.2%

2 stores

ASM 1.6%

1 stores

Yakit 1.6%

1 stores

DPD 1.6%

1 stores

1 stores

ELTA 1.6%

1 stores

1 stores

Visual Distribution

Distribution of top 10 SoftTr shipping carriers (June 2026)
Distribution of shipping carriers in SoftTr e-commerce stores
Shipping Carrier Store Count Market Share
DHL 23 36.51%
UPS 22 34.92%
Hermes 8 12.70%
GLS 2 3.17%
ASM 1 1.59%
Yakit 1 1.59%
DPD 1 1.59%
Yamato Japan 1 1.59%
ELTA 1 1.59%
Speedy 1 1.59%

Store Launch Timeline

Over the past 12 months, 157 new stores were launched in SoftTr , with the highest activity in 2026-05 (14 stores) , demonstrating ongoing growth in the e-commerce market.

Last 12 Months

2026-05 8.9%

14 stores launched

2026-04 5.7%

9 stores launched

2026-03 3.8%

6 stores launched

2026-02 3.8%

6 stores launched

2026-01 10.2%

16 stores launched

2025-12 7.6%

12 stores launched

2025-11 8.3%

13 stores launched

2025-10 10.8%

17 stores launched

2025-09 12.7%

20 stores launched

2025-08 10.8%

17 stores launched

2025-07 14.6%

23 stores launched

2025-06 2.5%

4 stores launched

Monthly Trend

Monthly store launches in SoftTr (June 2026)
Monthly store launches in SoftTr over the past 12 months
Month Stores Launched Percentage
2026-05 14 8.92%
2026-04 9 5.73%
2026-03 6 3.82%
2026-02 6 3.82%
2026-01 16 10.19%
2025-12 12 7.64%
2025-11 13 8.28%
2025-10 17 10.83%
2025-09 20 12.74%
2025-08 17 10.83%
2025-07 23 14.65%
2025-06 4 2.55%

Active Stores by Launch Year

Currently, 1,357 active stores in SoftTr are tracked in our database , with the most stores launched in 2026 (51 stores still active) . This shows the distribution of currently active stores by their original launch year.

Active Stores by Launch Year

2026 3.8%

51 active stores

2025 12.1%

164 active stores

2024 8.5%

116 active stores

2023 8.3%

113 active stores

2022 6.8%

92 active stores

2021 7.2%

98 active stores

2020 8.9%

121 active stores

2019 5.8%

79 active stores

2018 5.0%

68 active stores

2017 5.0%

68 active stores

2016 3.7%

50 active stores

2015 2.7%

37 active stores

2014 3.8%

51 active stores

2013 4.3%

58 active stores

2012 3.7%

50 active stores

Distribution by Launch Year

Active stores in SoftTr by original launch year (June 2026)
Active stores in SoftTr by launch year
Launch Year Active Stores Percentage
2026 51 3.76%
2025 164 12.09%
2024 116 8.55%
2023 113 8.33%
2022 92 6.78%
2021 98 7.22%
2020 121 8.92%
2019 79 5.82%
2018 68 5.01%
2017 68 5.01%
2016 50 3.68%
2015 37 2.73%
2014 51 3.76%
2013 58 4.27%
2012 50 3.68%

Social Media Usage

Instagram stores with 24.0% among stores with at least one detectable social profile (1,104 stores) , followed by WhatsApp (23.8%) and Facebook (20.5%) .

Base: 1,312 stores with any detectable social profile (95.6% of all stores). Percentages show share of detected platform instances (stores may use multiple platforms).

Links and embeds detected on public pages; private/hidden profiles not counted.

Top 10 Social Platforms

Instagram 24.0%

1,104 stores

WhatsApp 23.8%

1,092 stores

Facebook 20.5%

941 stores

Twitter 13.1%

601 stores

Pinterest 9.9%

456 stores

YouTube 5.7%

261 stores

LinkedIn 1.4%

64 stores

TikTok 0.9%

40 stores

X 0.7%

32 stores

Visual Distribution

Distribution of social media platforms in SoftTr (June 2026)
Distribution of social media platforms in SoftTr e-commerce stores
Social Platform Store Count Market Share
Instagram 1104 24.05%
WhatsApp 1092 23.79%
Facebook 941 20.50%
Twitter 601 13.09%
Pinterest 456 9.93%
YouTube 261 5.69%
LinkedIn 64 1.39%
TikTok 40 0.87%
X 32 0.70%

Geographic Distribution

Turkey stores with 99.9% (1,361 AI-verified stores) , followed by Poland (0.1%) and New Zealand (0.1%) .

Base: 1,363 AI-verified stores across 3 countries. Percentages show share among AI-verified stores.

Top 10 Countries

Turkey 99.9%

1,361 AI-verified stores

1 AI-verified stores

1 AI-verified stores

Visual Distribution

Geographic distribution of stores using SoftTr (June 2026)
Geographic distribution of stores using SoftTr
Country AI-Verified Store Count Market Share
Turkey 1361 99.85%
Poland 1 0.07%
New Zealand 1 0.07%

Data Coverage

Field Rows count Coverage
Website 1.4k 100.00%
Emails 710.0 51.71%
Phones 1.2k 83.76%
Ecommerce platform 1.4k 100.00%
Couriers 59.0 4.30%
Payment Providers 17.0 1.24%
Categories 1.3k 94.68%
Social Media 1.3k 95.56%

Coverage reflects detectability from public website analysis. Payment providers and shipping carriers are identified from checkout pages and shipping widgets. Stores using off-site payment flows or custom shipping integrations may not be detected. Actual adoption rates are higher than shown.

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Market Intelligence

Understand the SoftTr e-commerce landscape:

Analyze 1.4k verified e-commerce stores on SoftTr - technology adoption, market share, competitive positioning.

Track Competitive Shifts

Monitor platform migrations, technology adoption, and market share changes across SoftTr e-commerce.

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Size Your Addressable Market

Segment stores by country, platform, category, PSP, carrier, technology, and merchant-size signals to quantify your market opportunity.

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Monitor Adoption Trends

Identify which payment providers, shipping carriers, and platforms are gaining or losing traction.

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Data Access

  • Interactive search and filtering via web app
  • REST API for programmatic access and automation
  • Monthly data refreshes with historical tracking

Use Cases

  • Competitive intelligence and market sizing
  • Technology adoption and platform migration analysis
  • Sales prospecting and account-based targeting
  • Investment research and due diligence

Frequently Asked Questions

What data is included in the SoftTr e-commerce intelligence?

We track 1.4k verified SoftTr e-commerce stores with 50+ data points per store: e-commerce platform, product counts, categories, payment providers, shipping carriers, technology stack, merchant-size signals, and available business contact fields.

How is the data collected and how often is it updated?

We continuously crawl 300M+ domains using proprietary web crawlers, AI classification, and technology fingerprinting. The database is refreshed monthly, so you always work with current market data.

How do I access the data?

Self-service plans give you instant access through our web app and REST API. You can search, filter, and segment stores interactively or integrate programmatically into your workflows. View plans →

Can I filter by specific segments?

Yes. You can segment by country, platform, product category, payment provider, shipping carrier, technology stack, store age, cross-border signals, and merchant-size bands. Some advanced signals are plan-gated, and the same field contract is used by the web app, exports, and API.

Do you offer enterprise or custom licensing?

Yes. For large-scale data needs, custom market reports, or dedicated support, contact us to discuss enterprise pricing.

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