Find newly observed e-commerce stores for account research. Review platform, category and available payment or carrier signals. First observation does not establish a launch date or guarantee that a merchant is a new business.
=== New stores (Germany, last 30 days) ===
1. hausatelier.de
First observed: example period | Platform: Shopify
Category: Home & Living
Merchant size signals: Emerging segment
Payments: PayPal, Klarna | Carrier: DHL, DPD
2. purebeautyhaus.de
First observed: example period | Platform: WooCommerce
Category: Beauty & Cosmetics
Merchant size signals: Emerging segment
Payments: Stripe, Apple Pay | Carrier: DHL
→ Illustrative candidates observed in the selected period
→ First observation is not a verified launch dateCoverage varies by field and market. A missing payment or carrier signal means we did not detect it, not that the merchant does not use it. Returned fields depend on your plan. Merchant-size scores and bands are Enterprise fields; cross-border and VAT fields require Premium or Enterprise. For custom datasets, we agree the available fields, scope, price, permitted use and delivery date before purchase.
Why 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.
A newly detected domain or platform install may belong to an existing business. Review activity and merchant fit before treating it as a new-store opportunity.
Thousands of new stores each month. Manually checking them is a complete waste of time. No merchant size 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
Datasets of newly observed stores, with available platform, category, payment, carrier and contact signals. Define the date field and observation period used for your list.
What You Get
Review newly observed merchants for relevant payment, delivery or software needs before contacting them.
See which segments are accelerating before others notice. Identify platform adoption shifts and emerging trends month-over-month.
Check the merchant website and existing provider relationships. First observation alone does not establish that the business is new or has no existing contracts.
Define countries, categories and the first-seen period. Check merchant samples and existing CRM accounts; first observation may reflect discovery of an older business.
This example describes a possible workflow. It does not report a customer outcome.
What's Included in New Store Feed
Delivery formats: CSV, XLSX, or JSON. Ready for CRM imports, sales automation, or BI pipelines.
Updates: We rebuild the searchable index typically every 2–4 weeks. Observation dates vary by source and field; a rebuild does not mean every website was observed again. Recurring delivery is agreed separately.
How It Works
Specify markets (PL, DE, UK, etc.), platforms (Shopify, WooCommerce), categories (Fashion, Beauty), and merchant size filters (top 25% band).
Receive newly observed merchant candidates matching the agreed criteria, with fields available for the selected plan or Enterprise scope.
Import the agreed fields into your CRM, review merchant fit and existing relationships, then choose an appropriate outreach strategy.
Ideal Use Cases
Target new merchants before competitors. Early onboarding creates long-term relationships and reduces churn.
Identify newly observed merchants and check their payment setup before deciding whether an onboarding conversation is relevant.
CMS, CRM, WMS, ERP, analytics, retention tools. Capture new brands before they establish workflows with competitors.
Build fresh merchant account lists monthly, filtered by category, platform, and merchant-size signals. Useful for targeted outbound campaigns.
Find answers to common questions about New Store Intelligence.
We rebuild the searchable index typically every 2–4 weeks. Observation dates vary by source and field; a rebuild does not mean every website was observed again. First observation is not the launch date, and we do not guarantee detection within a fixed number of days after launch.
We classify active stores selling physical products using observed page and technology signals. This is not purchase or checkout verification, and classification can make mistakes.
Yes. Filter by category (Fashion, Beauty, Electronics), platform (Shopify, WooCommerce, Shoper), and merchant size filters (top 25% band).
Yes. Contact emails, phone numbers, and social media links are included when available. Ready for CRM import and outbound campaigns.
Counts vary by market, observation period and date-field definition. Ask for the current count and sample for your scope; newly observed does not necessarily mean newly launched.
Ask for a one-off dataset using the available first-seen fields and a specified period. We confirm source coverage and explain what each date means before purchase.
Custom recurring datasets are priced by agreed scope, markets, fields and delivery cadence. For custom datasets, we agree the available fields, scope, price, permitted use and delivery date before purchase.