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
1,421 verified stores
Top payment signal
MasterCard
13 stores detected
Top carrier signal
UPS
23 stores detected
Top category
Clothing & Accessories
172 verified stores

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

· · Next full refresh: June 2026

1.4k verified active stores out of 1.4k detected · 99.4% verification rate

Categories Distribution

Clothing & Accessories stores with 13.5% of all stores (172 stores) , followed by Home & Garden (12.7%) and Food & Beverages (11.0%) .

Base: 1,278 AI-verified stores with physical delivery and detected product categories (89.8% of all verified stores). Percentages show share of stores within each category.

Top 10 Categories

Clothing & Accessories 13.5%

172 stores

Home & Garden 12.7%

162 stores

Food & Beverages 11.0%

140 stores

Business & Industrial 9.5%

121 stores

Electronics & Technology 8.7%

111 stores

Health & Beauty 7.1%

91 stores

Tools & Hardware 6.3%

81 stores

Vehicles & Parts 6.0%

77 stores

Arts & Entertainment 4.1%

53 stores

Furniture & Home Decor 4.1%

52 stores

Visual Distribution

Distribution of top 10 SoftTr store categories (May 2026)
Distribution of categories in SoftTr e-commerce stores
Category Number of Stores Percentage
Clothing & Accessories 172 13.46%
Home & Garden 162 12.68%
Food & Beverages 140 10.95%
Business & Industrial 121 9.47%
Electronics & Technology 111 8.69%
Health & Beauty 91 7.12%
Tools & Hardware 81 6.34%
Vehicles & Parts 77 6.03%
Arts & Entertainment 53 4.15%
Furniture & Home Decor 52 4.07%

Payment Providers Distribution

MasterCard stores with 56.5% among AI-verified physical stores (13 stores) , followed by MasterPass (8.7%) and Bolt (8.7%) .

Base: 20 AI-verified physical stores with detectable payment providers (1.4% 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

13 stores

2 stores

Bolt 8.7%

2 stores

VISA 8.7%

2 stores

1 stores

1 stores

JCB 4.3%

1 stores

Koin 4.3%

1 stores

Visual Distribution

Distribution of top 10 SoftTr payment providers (May 2026)
Distribution of payment providers in SoftTr e-commerce stores
Payment Provider Store Count Market Share
MasterCard 13 56.52%
MasterPass 2 8.70%
Bolt 2 8.70%
VISA 2 8.70%
BitCoin 1 4.35%
American Express 1 4.35%
JCB 1 4.35%
Koin 1 4.35%

Shipping Carriers Distribution

UPS stores with 37.1% among AI-verified physical stores (23 stores) , followed by DHL (32.3%) and Hermes (12.9%) .

Base: 57 AI-verified physical stores with detectable shipping carriers (4.0% 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

UPS 37.1%

23 stores

DHL 32.3%

20 stores

Hermes 12.9%

8 stores

GLS 3.2%

2 stores

ASM 3.2%

2 stores

1 stores

1 stores

Yakit 1.6%

1 stores

TNT 1.6%

1 stores

ELTA 1.6%

1 stores

Visual Distribution

Distribution of top 10 SoftTr shipping carriers (May 2026)
Distribution of shipping carriers in SoftTr e-commerce stores
Shipping Carrier Store Count Market Share
UPS 23 37.10%
DHL 20 32.26%
Hermes 8 12.90%
GLS 2 3.23%
ASM 2 3.23%
Aramex 1 1.61%
Yamato Japan 1 1.61%
Yakit 1 1.61%
TNT 1 1.61%
ELTA 1 1.61%

Store Launch Timeline

Over the past 12 months, 163 new stores were launched in SoftTr , with the highest activity in 2026-04 (9 stores) , demonstrating ongoing growth in the e-commerce market.

Last 12 Months

2026-04 5.5%

9 stores launched

2026-03 4.3%

7 stores launched

2026-02 3.1%

5 stores launched

2026-01 11.0%

18 stores launched

2025-12 7.4%

12 stores launched

2025-11 8.6%

14 stores launched

2025-10 11.7%

19 stores launched

2025-09 13.5%

22 stores launched

2025-08 10.4%

17 stores launched

2025-07 14.1%

23 stores launched

2025-06 4.9%

8 stores launched

2025-05 5.5%

9 stores launched

Monthly Trend

Monthly store launches in SoftTr (May 2026)
Monthly store launches in SoftTr over the past 12 months
Month Stores Launched Percentage
2026-04 9 5.52%
2026-03 7 4.29%
2026-02 5 3.07%
2026-01 18 11.04%
2025-12 12 7.36%
2025-11 14 8.59%
2025-10 19 11.66%
2025-09 22 13.50%
2025-08 17 10.43%
2025-07 23 14.11%
2025-06 8 4.91%
2025-05 9 5.52%

Active Stores by Launch Year

Currently, 1,415 active stores in SoftTr are tracked in our database , with the most stores launched in 2026 (42 stores still active) . This shows the distribution of currently active stores by their original launch year.

Active Stores by Launch Year

2026 3.0%

42 active stores

2025 12.9%

183 active stores

2024 8.6%

121 active stores

2023 8.3%

118 active stores

2022 7.0%

99 active stores

2021 7.5%

106 active stores

2020 8.6%

122 active stores

2019 5.7%

81 active stores

2018 4.8%

68 active stores

2017 5.4%

76 active stores

2016 3.6%

51 active stores

2015 2.6%

37 active stores

2014 3.6%

51 active stores

2013 4.4%

62 active stores

2012 3.5%

50 active stores

Distribution by Launch Year

Active stores in SoftTr by original launch year (May 2026)
Active stores in SoftTr by launch year
Launch Year Active Stores Percentage
2026 42 2.97%
2025 183 12.93%
2024 121 8.55%
2023 118 8.34%
2022 99 7.00%
2021 106 7.49%
2020 122 8.62%
2019 81 5.72%
2018 68 4.81%
2017 76 5.37%
2016 51 3.60%
2015 37 2.61%
2014 51 3.60%
2013 62 4.38%
2012 50 3.53%

Social Media Usage

Instagram stores with 24.2% among stores with at least one detectable social profile (1,168 stores) , followed by WhatsApp (23.2%) and Facebook (20.8%) .

Base: 1,369 stores with any detectable social profile (95.7% 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 24.2%

1,168 stores

WhatsApp 23.2%

1,120 stores

Facebook 20.8%

1,006 stores

Twitter 13.3%

644 stores

Pinterest 10.0%

485 stores

YouTube 5.6%

270 stores

LinkedIn 1.4%

67 stores

TikTok 0.8%

40 stores

X 0.7%

32 stores

Visual Distribution

Distribution of social media platforms in SoftTr (May 2026)
Distribution of social media platforms in SoftTr e-commerce stores
Social Platform Store Count Market Share
Instagram 1168 24.17%
WhatsApp 1120 23.18%
Facebook 1006 20.82%
Twitter 644 13.33%
Pinterest 485 10.04%
YouTube 270 5.59%
LinkedIn 67 1.39%
TikTok 40 0.83%
X 32 0.66%

Geographic Distribution

Turkey stores with 99.9% (1,421 AI-verified stores) , followed by Poland (0.1%) and New Zealand (0.1%) .

Base: 1,423 AI-verified stores across 3 countries. Percentages show share among AI-verified stores.

Top 10 Countries

Turkey 99.9%

1,421 AI-verified stores

1 AI-verified stores

1 AI-verified stores

Visual Distribution

Geographic distribution of stores using SoftTr (May 2026)
Geographic distribution of stores using SoftTr
Country AI-Verified Store Count Market Share
Turkey 1421 99.86%
Poland 1 0.07%
New Zealand 1 0.07%

Data Coverage

Field Rows count Coverage
Website 1.4k 100.00%
Emails 758.0 52.97%
Phones 1.2k 84.77%
Ecommerce platform 1.4k 100.00%
Couriers 57.0 3.98%
Payment Providers 20.0 1.40%
Categories 1.4k 94.55%
Social Media 1.4k 95.67%

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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