Identify newly launched e-commerce stores before your competitors do. Detect platform adoption shifts, category momentum, and emerging D2C brands — enriched with GMV estimates, PSP/carrier stack, and cross-border readiness.
=== New stores (Germany, last 30 days) ===
1. hausatelier.de
Launched: Oct 2024 | Platform: Shopify
Category: Home & Living
GMV potential: €300k-€480k/year
PSP: PayPal, Klarna | Carrier: DHL, DPD
2. purebeautyhaus.de
Launched: Oct 2024 | Platform: WooCommerce
Category: Beauty & Cosmetics
GMV potential: €240k-€480k/year
PSP: Stripe, Apple Pay | Carrier: DHL
→ 4,746 new stores launched last month
→ 46,406 in the last 12 monthsWhy It's Hard to Track New E-Commerce Stores
Most tools detect new domains or technologies — but not whether stores are real, active, or worth targeting.
Tools detect new domains or installations — but not whether the store has checkout, sells physical products, or is actually active.
Thousands of new stores each month. Manually checking them is a complete waste of time. No GMV context means no prioritization.
Carriers, PSPs, and SaaS providers lose the biggest value when they don't catch stores at launch. Early relationships last years.
ShopRank New Store Intelligence
A continuous feed of newly launched active e-commerce stores, enriched with PSP/carrier stack, GMV potential, platform data, and cross-border readiness.
What You Get
Be the first PSP, carrier, or SaaS contacting a brand new store. Early relationships last years and are hardest to displace.
See which segments are accelerating before others notice. Identify platform adoption shifts and emerging trends month-over-month.
New stores are the easiest to onboard — before competitors establish relationships, before they sign long-term contracts.
Example: European Marketplace
A multi-category European marketplace wanted to systematically recruit high-potential new sellers before competitors onboarded them.
Example anonymized. Results based on realistic aggregated scenarios from the marketplace industry.
| Metric | Before ShopRank | With ShopRank | Impact |
|---|---|---|---|
| Time to detect new stores | N/A | 7 days | Market visibility |
| New merchant pipeline | Weak/Random | +2,315 stores | 12× pipeline |
| Qualification speed | Manual | GMV buckets | 10× faster |
| Time to first contact | Random/Late | Within 72h | Competitive edge |
"Before ShopRank, we had no systematic way to identify new stores launching in our categories. Now we get a weekly feed of 2,000+ qualified merchants with GMV potential, platform data, and existing tech stack. We reach out within 72 hours — before Amazon, Allegro, or other marketplaces even know they exist. Our new seller pipeline grew 12×."
— Head of Merchant Acquisition, European Marketplace
What's Included in New Store Feed
Delivery formats: CSV, XLSX, or JSON. Ready for CRM imports, sales automation, or BI pipelines.
Update frequency: Weekly or monthly feeds depending on your sales cadence. Continuous monitoring of 15M+ stores.
How It Works
Specify markets (PL, DE, UK, etc.), platforms (Shopify, WooCommerce), categories (Fashion, Beauty), and GMV thresholds (€360k+ annual).
Get fresh feeds of newly launched stores matching your criteria. Each store includes platform, GMV estimate, PSP/carrier stack, and contact data.
Import into CRM, prioritize by GMV potential, contact within 72 hours. Win merchants before competitors establish relationships.
Ideal Use Cases
Target new merchants before competitors. Early onboarding creates long-term relationships and reduces churn.
Onboard new stores at launch and keep them for years. First PSP integration is hardest to replace.
CMS, CRM, WMS, ERP, analytics, retention tools. Capture new brands before they establish workflows with competitors.
Get thousands of fresh leads monthly, filtered by category, platform, and GMV potential. Perfect for outbound campaigns.
Find answers to common questions about New Store Intelligence.
Detected weekly or monthly depending on your plan. Stores appear in feeds within 7-30 days of launch depending on detection frequency.
Yes. We filter for stores with checkout, physical products, and active status. Test sites, placeholders, and low-quality dropshipping scaffolds are excluded.
Yes. Filter by category (Fashion, Beauty, Electronics), platform (Shopify, WooCommerce, Shoper), and GMV thresholds (€360k+ annual).
Yes. Contact emails, phone numbers, and social media links are included when available. Ready for CRM import and outbound campaigns.
Varies by market. Germany: ~4,000-5,000/month. Poland: ~2,000-3,000/month. Nordics: ~1,500-2,000/month. Filter by GMV and category to focus on high-value segments.
Yes. We can provide stores launched in the past 12 months as a one-time dataset. Contact sales for historical data packages.
Subscription-based pricing depending on feed frequency (weekly/monthly), markets covered, and filtering criteria. Contact sales for a quote.