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Qualified ecommerce leads database
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Ecommerce Leads Database: search 610K+ indexed stores by traffic, apps, pixels, contacts, and fit

Build qualified ecommerce lead lists from Shopify and DTC store data. Start with store context, add buying signals, then reveal contacts and export only the accounts worth contacting.

TL;DR

StoreInspect is an ecommerce leads database for teams selling to Shopify and DTC brands. It starts with 610K+ indexed stores and 802K+ store-linked contact records, then lets you qualify accounts by category, traffic tier, apps, pixels, missing tools, and contact availability before export. If you need the broader store search entry point, use the Shopify stores list.

610K+
indexed ecommerce stores
802K+
store-linked contact records
450K+
stores with contact signals
16+
searchable categories
350+
app signatures tracked
150+
pixel and tracking signals

Public preview

A leads database that starts with account fit

Public examples show store context. The full dashboard is where you filter, reveal contacts, save lists, and export qualified ecommerce leads.

DOTCOMCANVAS® logo
DOTCOMCANVAS®

dotcomcanvas.de

Category: Other
Traffic: 25k
Apps: Stamped.io, Klaviyo
Hey Happiness logo
Hey Happiness

heyhappiness.com

Category: Other
Traffic: 100k
Apps: Judge.me, Klaviyo, Smile.io Loyalty
Rumpler logo
Rumpler

rumpl.com

Category: Other
Traffic: 500k
Apps: Klaviyo, Gorgias Chat, Klarna
Corkcicle logo
Corkcicle

corkcicle.com

Category: Other
Traffic: 500k
Apps: Klaviyo, Zendesk, GovX ID
Mous US logo
Mous US

mous.co

Category: Other
Traffic: 500k
Apps: Judge.me, Klaviyo, Shop Pay
Averie logo
Averie

shopaverie.com

Category: Beauty
Traffic: 100k
Apps: Yotpo Reviews, Klaviyo, Shop Pay
Fresh Clean Threads logo
Fresh Clean Threads

freshcleantees.com

Category: Other
Traffic: 500k
Apps: Klaviyo, Attentive, Gorgias Chat
Morphe US logo
Morphe US

morphe.com

Category: Other
Traffic: 500k
Apps: Klaviyo, Shop Pay, OneTrust
Swybrand logo
Swybrand

swybrand.si

Category: Other
Traffic: 100k
Apps: Tech stack signals
Hurley logo
Hurley

hurley.com

Category: Beauty
Traffic: 500k
Apps: Yotpo Reviews, Klaviyo, Gorgias Chat
Inspirational Tea Co logo
Inspirational Tea Co

inspirationalteaco.com.au

Category: Other
Traffic: 500k
Apps: Judge.me, Klaviyo, Shop Pay
Monica + Andy logo
Monica + Andy

monicaandandy.com

Category: Other
Traffic: 500k
Apps: Klaviyo, Attentive, Gorgias Chat

Want the full searchable database instead of public examples? Filter stores by category, app stack, traffic tier, pixels, and contacts.

Open ecommerce leads database

Search filters

Qualify the account before you reveal the contact

Raw ecommerce databases optimize for count. StoreInspect is built around fit: the store, the buying signal, the contact route, and the reason your pitch is relevant.

Traffic and budget signals

Use traffic tiers, Shopify Plus, app depth, pixels, and lead fit score to avoid tiny stores that cannot buy.

Apps and missing tools

Find stores using Klaviyo, Recharge, Gorgias, Shop Pay, Meta Pixel, or stores missing the tool category you sell.

Category and niche

Build lead lists for fashion, beauty, food, health, home, jewelry, pets, sports, and other ecommerce verticals.

Contact availability

Filter for stores with contact records before spending time on accounts that cannot become outreach targets.

Workflow

From database search to send-ready list

Use StoreInspect as the source layer, then narrow it into one campaign list with one clear message.

1

Pick the market

Choose the store type, category, app ecosystem, traffic tier, or prospecting angle that matches your offer.

2

Add buying signals

Layer app installs, missing apps, pixels, theme type, traffic tier, product count, and lead fit score.

3

Check reachability

Prioritize stores with contacts, then review store context before revealing or exporting decision-maker records.

4

Export the list

Save qualified accounts, reveal contacts where needed, and export the final ecommerce lead list for outreach.

Category paths

Build ecommerce lead lists by vertical

Start with a public category page, then search the full database when you need traffic, app, pixel, and contact filters.

558 examples

Fashion stores

Discover top fashion, clothing, and apparel Shopify stores. From fast fashion to luxury clothing brands, see what themes and apps power the biggest names in online apparel retail.

530 examples

Other stores

Explore diverse Shopify stores across unique categories. Discover the tech stacks behind specialty and niche ecommerce brands.

285 examples

Beauty stores

Explore leading beauty and skincare Shopify stores by traffic tier, theme, apps, and contact availability.

101 examples

Home & Garden stores

Browse successful home goods and furniture Shopify stores. Learn what themes and apps power leading decor, bedding, and kitchen brands.

93 examples

Food & Beverage stores

Browse leading food and beverage Shopify stores. Analyze the tech behind successful coffee, snacks, and specialty food brands.

77 examples

Jewelry stores

Browse successful jewelry and accessories Shopify stores. Analyze the tech stacks behind luxury and everyday jewelry brands.

51 examples

Hobby stores

Discover top hobby Shopify stores. From crafts to collectibles, see what themes and apps power passionate hobbyist brands.

51 examples

Health & Wellness stores

Discover top health and wellness Shopify stores. From supplements to fitness gear, see what themes and apps power leading health brands.

A qualified lead list, not a raw domain dump

The point is not exporting every ecommerce store. The point is finding accounts with enough budget, pain, context, and contact coverage to justify outreach.

Database layer

Search stores by platform, vertical, traffic, tech stack, and visible buying signals.

Qualification layer

Use lead fit, missing apps, installed pixels, and contact availability to remove weak accounts.

Export layer

Turn qualified accounts into saved lists and CSV exports for your CRM or outreach workflow.

Raw vs qualified

Raw ecommerce leads vs qualified ecommerce leads

A large database is only useful after it can explain which accounts belong in the campaign.

Raw list
Qualified list
A store domain and maybe a generic info@ address
Store profile, traffic tier, tech stack, fit signal, and contact route
One broad ecommerce category
Category plus app stack, missing tools, pixels, and maturity signals
Every possible company exported at once
A smaller list built for one offer, one segment, and one message
Contacts detached from store context
Contacts tied to the exact store signals that make outreach relevant

Common Questions

What people ask when comparing these tools.

Have more questions? Contact us

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Ready to find better Shopify leads?

Search by niche, traffic, and tech stack. Export verified contacts and start with stores worth pitching. No credit card needed.