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Shopify Store Database Technology Market Analytics Similar Store Finder Rising Online Stores High-Ticket Product Research Trending + Low-Competition Products Niche Website Research Ad-Monetized Websites
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1M+ stores · 5M domains · 4,000+ technologies

Your next customers already run on the web. Find them.

LeadsQuantum maps every online store and popular website to its technologies, its niche, its products and its momentum. Pull a ranked lead list in seconds. Spot the products and markets worth entering next.

0Online stores
0Technologies
0Domains classified
0Products analyzed
Lead console · live query1 / 4
ResultCountrySignalFit
ranked by fit · 20+ fields per rowhow lists work →
The platform

One dataset, six jobs done well

Every module reads from the same map of stores, domains, technologies and products. Pick the job, set the filters, export the rows.

Lead lists by technology

Type a technology. Get every store and website running it, with country, niche, size signals and contacts.

Technologies
4,000+
Stores covered
1M+
Fields per row
20+
Build a list
AI RANKED

AI lead recommender

Find sites that do not use your product yet but look exactly like the ones that do. Each pick comes with the reason.

Training signals
100M+
Picks per site
1,000
Domain pool
6M+
See how it ranks

Shopify store database

Search over a million active stores by category, keyword, country, price level, catalog size, age and authority.

Active stores
1M+
Metrics each
20+
Export formats
3
Explore stores

Product opportunity research

60,000+ product groups scored on price, demand, trend, seasonality and how hard they are to rank for.

Products
32M
Product groups
60K+
High-ticket niches
40K
Find products

Technology market analytics

See which verticals over-use a technology, how it trends by domain age, popularity tier and country.

Tier 1 + 2 cats
440
Popularity tiers
10
Compare at once
5+
Read the market

AI cold email and copy

Click the email button next to any row. Get a first-touch message written around that site and your product.

Credits included
500
Output types
3
Clicks per email
1
Write faster
Built for four teams

Same data, different first query

Pick your role to see where most customers start on day one.

Sell into stacks that already fit

Your best prospects run tools that pair with yours. Start from that pattern, not from a cold industry list.

SaaS playbook →

Recommender list of sites most likely to add your product
Every site on a competing product, ready for a switch campaign
Verticals where your category is used far above average
Churn-risk ranking of your current customers

One login, a fresh list for every client

Agencies use LeadsQuantum as a list factory. Filter, export, personalize, deliver, repeat for the next account.

Agency playbook →

Lists by technology, country, niche and store size
CSV, Excel and PDF exports for each client
AI first-touch emails generated per row
Up to 5 seats on the Enterprise plan

Copy what the winners in your niche do

See the stores that are growing in your category, the tools they run that you do not, and the products they price high.

Store owner playbook →

Technology picks based on your nearest peers
Look-alike stores ranked by catalog overlap
High-ticket and trending product groups by vertical
Product categorization into 1,360 categories

Map a niche before you build in it

Five million classified domains with age, authority and stack. Find young sites gaining fast and the ones that already monetize.

Niche research playbook →

440 IAB categories across two tiers
Domain age plus authority to spot breakouts
Ad-monetized sites listed by niche
Product groups with low ranking difficulty
How it works

From a question to a ranked list in four steps

No setup and no integration. Log in, ask, export.

Pick a starting point

A technology, a category, a keyword, a store, or a product idea.

Narrow it down

Filter by country, vertical, price level, catalog size, domain age and authority.

Rank what is left

Sort by popularity, price, growth, fit score or opportunity rating.

Act on it

Export to CSV, Excel or PDF, or generate a first email per row.

Why ranked lists beat raw lists

A list of 40,000 sites using a tool is a spreadsheet. A list of 400 that fit, sorted by likelihood, is a quarter of pipeline.

  • Fit first. The recommender orders sites by how closely their stack matches your current users.
  • Context on every row. Country, niche, price level, products, age and the tools already installed.
  • Reasons you can say out loud. Each recommendation names the installed tool that drove it.
  • Ready for your stack. Exports drop straight into a CRM, a sequencer or a sheet.

One query, end to end

StartSites likely to add a live chat tool
FilterUnited States · Home & Garden · 50+ products
RankFit score, then store popularity
ExplainDriven by the email and reviews apps they run
ActExport to Excel + AI email per row
A shortlist your SDRs can start on today
Two prospecting motions

Add-on selling versus switch selling

Most technographic tools stop at "who uses my competitor". LeadsQuantum gives you both motions and lets you choose per campaign.

Switch campaigns

Target sites that already pay for a rival product.

  • Large, obvious lists for every category
  • Buyer already understands the problem
  • You must beat a tool that works well enough
  • Best timed around renewals and price changes

Competitor customer lists →

Add-on campaigns

Target sites with no tool in your slot, whose stack says they need one.

  • No incumbent to displace
  • Pitch as a natural next tool for their setup
  • Ranked by likelihood, with the reason attached
  • Fresh lists that competitors are not mining

AI lead recommender →

Market intelligence

Read a market before you spend on it

The same data that builds lead lists also answers strategy questions: where a technology wins, which niches are young, which products are rising.

Where a technology over-indexes

Usage share per category against the share of all domains. A ratio above 1.0 marks a vertical worth targeting.

Shopify in Style & Fashion
8.1x
Baseline
1.0x
Technology analytics

Young domains, strong authority

Cap domain age at five years, sort by authority, and the breakout stores in any category rise to the top.

age ≤ 5ysort: authoritycategory: any
Rising stores
60,000+product groups scored

Opportunity rating built from price, demand, trend, seasonality, uniqueness and competition.

High-ticket ideas
5 yearsof search trend per group

Sort any category by growth to surface the products buyers want more of every year.

Trending products
440niches across two tiers

Every one of 5 million domains placed in an IAB category, with age, authority and stack.

Niche research
For merchants and brands

Pick products with the numbers in front of you

Choosing what to sell is the most expensive decision a store makes. Make it with price, demand and difficulty side by side.

  • 40,000 high-ticket niches, with 2,000 new ones added every month.
  • Adjacent ideas: enter your own products and get the closest high-ticket niches.
  • Difficulty first: sort product groups by how strong the ranking sites are.
  • Category drill-down: start at Electronics or Home & Garden and go two levels deeper.

What feeds an opportunity rating

Average price
higher
Search demand
higher
5-year trend
rising
Ranking difficulty
lower
Seasonality
lower
Ad cost
lower
One score per group, sortable in every category
Coverage

What is inside the dataset

Four connected layers. Every list you build draws on all four.

1M+Online stores
5MPopular domains
4,000+Technologies
100M+Usage points
32MProducts
60K+Product groups
LayerWhat you get per recordTypical use
Online storesCategory, country, language, product count, average price, domain age, authority, popularity rank, technologies, contactsProspect lists, competitor maps, market sizing
Popular domainsTier 1 and Tier 2 IAB category, domain age, authority, technologiesNiche research, publisher lists, vertical targeting
TechnologiesUsers, category over-index, age profile, popularity profile, country profile, recommendationsLead generation, market share, churn risk
ProductsGroup, vertical, price, search demand, ad cost, 5-year trend, seasonality, difficulty, opportunity ratingProduct selection, high-ticket niches, SEO planning
Every field, defined

The data fields reference lists each column, what it means and which filters use it.

From customers

What users tell us

I am really enjoying the platform and I think you are doing some really innovative stuff.

Pedro

Thanks for excellent classifications and support.

Lingua Fachübersetzungen

This is great and absolutely what I was looking for.

Steve

I will absolutely endorse you guys and let people in my chat as well as my followers know how awesome this platform is!

Pete
Questions

Before you sign up

01Who is LeadsQuantum for?

SaaS and technology vendors, lead generation agencies, ecommerce store owners and market or niche researchers.

The common thread: you sell to, compete with, or research online businesses.

02How is this different from a generic B2B contact database?

Contact databases start from company size and job title. LeadsQuantum starts from what a website actually runs, sells and ranks for.

That lets you target by stack fit, product category and momentum instead of headcount.

03Which plan includes the AI recommender?

Both plans, Advanced and Enterprise. Reports hold 100 recommender rows on Advanced and 5,000 on Enterprise.

Every feature is in both plans. See pricing.

04Can I export results?

Yes. Both plans export to CSV, Excel and PDF.

05What counts as a search?

Each form query, and each load of a results table. Plans include 10,000 or 50,000 searches per month.

06Can you run the recommender on my own domain list?

Yes. Send up to 500 domains and we return recommendations for each of them.

Write to [email protected].

07Can I cancel?

Yes, at any time. Access runs to the end of the paid period.

08Is there a way to look around first?

The demo dashboard shows the store explorer. The platform guide walks through all twelve workflows with screenshots.

Further reading

Product classification articles from Alpha Quantum

Start with one list. Keep the ones that convert.

Two annual plans, $999 and $1,999 per year, with every feature included. Pay by bank transfer against an invoice.