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Find ecommerce leads with contacts
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Ecommerce Leads Database: find 1.1M+ ecommerce leads with contacts and store intelligence

Find ecommerce leads from Shopify and DTC stores, then turn them into a qualified ecommerce lead list with traffic, app, pixel, category, contact, and email filters.

TL;DR

StoreInspect is an ecommerce leads database for teams selling to Shopify and DTC brands. It starts with 1.1M+ ecommerce leads and 1.2M+ store-linked contact records, then helps you build a qualified ecommerce lead list by category, traffic tier, apps, pixels, missing tools, contact availability, and email availability before export or API use. If you need the broader store search entry point, use the Shopify stores list.

1.1M+
indexed ecommerce stores
1.2M+
store-linked contact records
780K+
stores with contact signals
22+
searchable categories
350+
app signatures tracked
150+
pixel and tracking signals

Public preview

Find ecommerce leads with account fit

Public examples show store context. The full dashboard and API are where you filter by fit, reveal contacts, save lists, and export a qualified ecommerce lead list.

Moxie logo
Moxie

moxie.com.au

Category: Fashion
Traffic: 100k
Apps: Judge.me, Stamped.io, Klaviyo
Board Game Bliss logo
Board Game Bliss

boardgamebliss.com

Category: Hobby
Traffic: 25k
Apps: Judge.me, Klaviyo, Shop Pay
Village Green Apothecary logo
Village Green Apothecary

myvillagegreen.com

Category: Health
Traffic: 100k
Apps: Judge.me, Klaviyo, Smile.io Loyalty
Weezie Towels logo
Weezie Towels

weezietowels.com

Category: Beauty
Traffic: 100k
Apps: Yotpo Reviews, Klaviyo, Attentive
U.S. Polo Assn. UK logo
U.S. Polo Assn. UK

uspoloassn.co.uk

Category: Fashion
Traffic: 500k
Apps: Klaviyo, Gorgias Chat, Afterpay
Naturtreu logo
Naturtreu

naturtreu.de

Category: Food
Traffic: 100k
Apps: Stamped.io, Klaviyo, Seal Subscriptions
Lady Pipa logo
Lady Pipa

ladypipa.com

Category: Fashion
Traffic: 500k
Apps: Klaviyo, Gorgias Chat, Shop Pay
Category: Fashion
Traffic: 100k
Apps: Judge.me, Loox, Klaviyo
Thesis logo
Thesis

takethesis.com

Category: Health
Traffic: 500k
Apps: Okendo Reviews, Klaviyo, Attentive
House of Chikankari logo
House of Chikankari

houseofchikankari.in

Category: Fashion
Traffic: 500k
Apps: Judge.me, Smile.io Loyalty
Category: Fashion
Traffic: 100k
Apps: Tech stack signals
Cncpts logo
Cncpts

cncpts.com

Category: Fashion
Traffic: 500k
Apps: Klaviyo, Gorgias Chat, Afterpay

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

Find ecommerce leads before you reveal contacts

Raw ecommerce databases optimize for count. StoreInspect helps you narrow a lead list by fit: the store, the buying signal, the contact route, email availability, 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 and email availability

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

Workflow

From database search to send-ready list

Use StoreInspect as the ecommerce leads source, 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 or query it through the API 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.

721 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.

342 examples

Beauty stores

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

144 examples

Home & Garden stores

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

127 examples

Food & Beverage stores

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

106 examples

Jewelry stores

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

75 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.

72 examples

Hobby stores

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

70 examples

Electronics stores

Analyze top electronics and gadget Shopify stores. Discover the tech stacks behind successful audio, gaming, and smart home 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, CSV exports, and API-powered syncs 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.