Define your ideal customer profile - platform, merchant size, category, region, tech stack, carrier/PSP usage, or even a single example store - and get a fully qualified list of merchants that match your ICP at scale.
INPUT ICP:
"Mid-size Shopify beauty stores in DE/AT
using Klarna or Stripe, shipping cross-border,
with modern marketing stack"
OUTPUT:
=== 312 high-fit merchants found ===
1. glowhaus.de
Merchant size: Top segment
Platform: Shopify | Payments: Stripe, Klarna
Cross-border: DE → AT, CH
Tech: Klaviyo, Meta Ads, GA4
2. pureblossom.at
Merchant size: Top segment
Platform: Shopify | Payments: Stripe
Cross-border: AT → DE/IT
Carriers: DHL, DPD
3. skincare-luxe.de
Merchant size: Top segment
Platform: Shopify | Payments: Klarna, PayPal
Tech: Klaviyo, Trustpilot, Hotjar
→ All fully enriched & ICP-alignedCoverage 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 ICP Targeting Is Broken Today
Raw account lists ignore merchant size, tech stack, cross-border capability, and semantic fit. Many accounts do not match the real ICP.
Standard account lists ignore merchant size, carrier/PSP usage, cross-border capability, tech stack, and semantic fit. Result: many accounts waste SDR time.
ICP isn't just category + platform. ICP is: "Stores that feel our pain and have money to pay." Generic lists from the internet don't understand this.
Two stores in "Beauty" can sell supplements, dermocosmetics, perfumes, or razors - completely different ICPs. Standard tools can't distinguish semantic clusters.
ShopRank ICP-Based Lead Lists
Define your merchant profile using country, platform, category and available technology signals. Custom Enterprise work can include a lookalike study powered by Semantil.
What You Get
From ICP definition to qualified list - end weeks of manual research. Get actionable pipeline immediately.
Target only stores similar to your best customers, in your merchant size range, with your tech stack, solving your problem. Waste less time on bad fits.
Save SDR budget - stop chasing wrong stores. One ICP list = pipeline for months. Accelerate sales team velocity immediately.
Choose supported platforms, countries and merchant criteria. Review detected payment signals, compare the sample with your CRM, and agree the final fields and permitted use.
This example describes a possible workflow. It does not report a customer outcome.
What's Included in Your ICP Lead List
Contact Enrichment
Observed business emails and phone numbers, where available
Social Profiles
LinkedIn & social media links
Custom Filtering
Tailored to your exact ICP
CSV, XLSX, JSON
Delivery date agreed before purchase
From ICP to Qualified Leads in 3 Steps
Examples: "Mid-size Shopify beauty stores with Stripe", "Fashion merchants with observed international market coverage", "Shopify stores like Patagonia but in Europe", "WooCommerce electronics stores with DHL + PayPal".
Our engine creates semantic profile of your ICP and filters millions of stores by merchant size, platform, PSP, carriers, tech stack, cross-border capability, and category fit.
Receive candidate merchants prioritized against the agreed criteria, with the available fields and format confirmed in your quote. Review account fit before outreach.
Perfect For Go-To-Market Teams
Reviews, email marketing, personalization, analytics, CRO, WMS, ERP. Find merchants matching your exact platform, merchant size, and tech maturity requirements.
ICP example: stores in DE/AT/CH with selected detected carrier signals and an agreed merchant-size band. Locker availability and delivery services require separate verification.
ICP example: "Shopify + Klarna/Stripe merchants top merchant size band". Target high-value merchants with compatible tech stack and budget for PSP upgrades.
ICP example: Spanish fashion merchants with observed market coverage abroad. Verify delivery destinations separately before proposing logistics services.
ICP example: "High-potential brands in X category using modern marketing stack". Build targeted outbound campaigns with perfect-fit prospects.
Find merchants using complementary tools, similar platforms, or lacking critical integrations. Perfect for partnership and integration plays.
Everything You Need to Know
An example domain can help define a custom Enterprise lookalike study powered by Semantil. We confirm the feasible scope and review sample candidates before committing to a dataset.
Combine the filters available on your plan. Semantic lookalike research is a separately scoped Enterprise service powered by Semantil, not a standard catalog filter.
The available count depends on the criteria, indexed population and field coverage. We confirm matching counts for your scope rather than promising a fixed result size.
Available business emails, phone numbers and company social links can be included according to your plan or project scope. We do not promise named decision-makers or verified email deliverability.
Recurring ICP datasets can be agreed under an Enterprise contract. 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.
For custom datasets, we agree the available fields, scope, price, permitted use and delivery date before purchase.
A country dataset covers the agreed indexed population. An ICP list applies additional merchant criteria. Compare the sample, count and included fields for the scope you need.
Yes - during scoping we can help refine your ICP based on your best customers, product capabilities, and market opportunity. We often start broad and narrow iteratively.