Store Leads

Name: Store Leads
Brand: Store Leads
Price: 75 USD

Every online store, every app they installed, and the week they uninstalled it

Store Leads is an ecommerce data platform that tracks roughly 13.8 million active online stores across more than 410 ecommerce platforms, recording over 40 attributes per store including platform, installed and uninstalled apps with dates, estimated monthly sales, product counts, themes, shipping carriers, social follower counts, and contact details, refreshed weekly and delivered through search, CSV export, alerts, an API, and CRM integrations from $75 per month.

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Overview

Store Leads answers one question extremely well: which online stores match this description right now, and what changed about them last week. It finds around 135,000 newly active stores every week, keeps a dated record of every app install and uninstall on each one, and estimates monthly sales and app spend. For anyone selling into the Shopify, WooCommerce, BigCommerce, or Wix ecosystems, that is the entire prospecting universe in one queryable index.

The company is Lochside Software, based in Victoria, British Columbia, founded in 2019 and running with a very small team. There is no venture story, no acquisition, and no enterprise sales apparatus. What there is instead is an unusually well-documented product: the help centre spells out exactly how each estimate is derived, which is rare in a category that mostly prefers you not to ask.

Pricing is the reason it belongs in a small business database at all. Premium is $75 a month for two ecommerce platforms and 2,000 searches, Pro is $250 with unlimited searches, CSV export, and API access, Elite is $450 for all platforms and full API access, and Enterprise is $950. Extra users are $35 each and annual billing takes 15 percent off. Against BuiltWith's $295 floor or an enterprise intent vendor's five-figure minimum, a $75 entry point that a solo app developer can expense is a different category of accessible.

The limitation is the same as the strength. Store Leads knows about stores. If your buyer is a SaaS company, a law firm, a manufacturer, or anyone who does not sell physical goods online, there is nothing here for you. Within ecommerce it is close to comprehensive; one step outside it, the coverage is zero.

Best for

Shopify and WooCommerce app developers, ecommerce agencies, 3PL and shipping vendors, payment and checkout products, DTC-focused service businesses, and investment analysts who want alternative data on online retail.

Not the right fit for

Anyone selling to companies that do not run an online store. There is no B2B SaaS coverage, no professional services, no manufacturing; the index is ecommerce and only ecommerce.
Teams that need verified personal contact data as part of the product. Store Leads deliberately holds non-personal emails and phone numbers only, and pushes you to a separate enrichment vendor for named humans, which means a second bill.
Buyers who need real-time signal. The refresh is weekly by design, so an install that happened on Tuesday may not be visible until the following cycle. That is fine for outbound and wrong for anything time-critical.
Anyone who wants revenue figures they can put in a model without caveats. Estimated monthly sales is an estimate derived from observable proxies, and the platform is honest about that; treating it as fact will produce a bad forecast.
Small teams that want the API on the cheapest plan. Premium at $75 has no CSV export and no API, so the realistic entry point for a programmatic workflow is $250.

How it works

1
Store Leads continuously crawls the web looking for sites running one of more than 410 ecommerce platforms. Each discovered store is profiled: platform and pricing plan, theme and theme vendor, installed apps with the date each was added, third-party technologies, shipping carriers, product count, country and language, social handles with follower counts, and non-personal contact addresses.
2
The whole database is refreshed on a weekly cycle. That cadence is what makes the app install and uninstall dates usable as a signal: a store that dropped a subscription app this week is a store with an open problem, and the record will show it within days rather than months.
3
You search that index with more than 60 filters, combining firmographic, technographic, and social attributes. Typical queries look like every Shopify store in the United Kingdom with over 500 products, estimated sales above a threshold, running a named review app, that does not run a named loyalty app. Product search across roughly 1.8 billion indexed products lets you filter by what the store actually sells rather than by its declared category.
4
Results leave the platform as CSV exports on Pro and above, through the API on Pro, Elite, and Enterprise, through CRM integrations into HubSpot, Salesforce, Pipedrive, and Outreach, or as alerts and workflow automations that fire when a store enters or leaves a saved segment. A Chrome extension on every tier looks up whatever store you are currently viewing. Contact discovery is handled by handing off to Apollo, ContactOut, Cognism, or FullEnrich rather than by Store Leads holding personal data itself.

Feature breakdown

24 features in 4 modules

The store index

Coverage and discovery, which is what you are actually paying for.

Roughly 13.8 million active stores: The index tracks active stores rather than every domain that ever ran a cart, so the list is addressable rather than largely dead.
More than 410 ecommerce platforms: Shopify, WooCommerce, Wix, Squarespace, BigCommerce, Square Online, Magento, and a long tail of regional and niche carts.
New store discovery: Around 135,000 newly active stores are identified each week, which is the freshest possible list for anyone whose pitch works best on a young business.
Product index: Roughly 1.8 billion products are indexed, so you can filter by what a store sells rather than trusting a self-declared category.
Weekly refresh across the whole database: Every record is revisited on a weekly cycle rather than opportunistically, which is what makes dated change signals trustworthy.
Historical data: Higher tiers expose past states of a store, so you can see growth in product count or app spend over time rather than only today's snapshot.

Attributes and filters

More than 40 data attributes and over 60 search filters per store.

App install and uninstall dates: The highest-value field in the product. Knowing that a store removed a competing app eleven days ago is a far stronger trigger than knowing it once used one.
Estimated monthly sales: A modelled revenue figure used to separate hobby stores from real businesses; useful for segmentation, unwise as a hard number.
Estimated monthly app spend: Approximates what a store already pays for software, which is the single best proxy for whether it will pay for yours.
Platform pricing plan: Where detectable, the plan a store is on, which separates Shopify Plus merchants from basic accounts.
Theme and theme vendor: Useful for agencies pitching design work and for app vendors whose integration depends on theme structure.
Shipping carriers and third-party technologies: Logistics and martech attributes beyond the app ecosystem, relevant to 3PL, insurance, and returns vendors.
Social profiles with follower counts: Twitter, Instagram, Facebook, TikTok, YouTube, Pinterest, Snapchat, and LinkedIn handles with audience sizes, which doubles as a marketing-maturity signal.
Firmographics: Merchant name, vertical, creation date, employee count, product count, country, location, and language.

Delivery and automation

Getting stores out of the index and into a workflow.

CSV export: Available from Pro upward; Premium at $75 is a search and lookup tool only, which is the main reason to skip it.
REST API: API access on Pro, with full API access on Elite and Enterprise and higher rate limits at the top tier. This is included in the subscription rather than sold separately.
Alerts and workflow automations: Trigger a notification or an action when a store enters or leaves a saved segment, which is how an app install becomes a task rather than a row in a spreadsheet.
CRM integrations: Native pushes into HubSpot, Salesforce, Pipedrive, and Outreach.
Contact vendor handoffs: Integrations with Apollo, ContactOut, Cognism, and FullEnrich resolve named people at a store, keeping personal data out of Store Leads itself.
Chrome extension: Included on every plan, including Premium, for looking up the store you are currently browsing.
Custom matching and calculated values: Higher tiers let you match your own domain list against the index and derive computed fields for scoring.

Documentation and transparency

Unusually candid for a data vendor.

Published methodology: The help centre explains how each estimate is derived and what its known weaknesses are, which is rare in this category and makes the numbers auditable.
Non-personal contact policy: Store Leads stores general business emails and phone numbers rather than named individuals, which materially lowers your privacy exposure compared with a contact database.
Active status tracking: Stores that go inactive are marked rather than silently left in the index inflating the count.

Use cases

4 documented

Shopify app developer with a competing product

The app solves the same problem as two well-known incumbents, but there is no way to find merchants using them beyond scraping app store reviews.

A saved segment returns every store running the incumbents above a sales threshold, plus a weekly alert on uninstalls, which is a warm list of merchants actively looking for a replacement.

Ecommerce agency selling migration and CRO work

Outbound is untargeted because the agency cannot tell a $5,000-a-month store from a $500,000-a-month one before the first call.

Filters on estimated sales, product count, platform plan, and app spend produce a list of merchants large enough to afford the engagement and clearly under-tooled enough to need it.

3PL or shipping vendor

The pitch depends on which carriers a merchant uses today, and that is invisible from the outside without placing an order.

Carrier and shipping-technology attributes filter directly to merchants on a carrier the vendor beats on price, and the weekly refresh flags when one switches.

Investment analyst tracking DTC categories

A fund wants to know whether a private brand is growing before its next round is announced.

Historical data on product count, app spend, and estimated sales gives a trajectory for the brand and its category peers, which is alternative data no filing would provide.

Pricing

from $75 per month (Premium)

Flat monthly or annual subscription by plan, gated on platform coverage, search volume, export and API access, and seats; extra seats billed separately.

Plan	Price	Includes
Premium	$75 per month	2 ecommerce platforms 2,000 searches per month Chrome extension 1 user No CSV export and no API A research plan rather than a prospecting plan. Without export you are reading the screen, which is fine for validation and useless for outbound.
Pro	$250 per month	2 ecommerce platforms Unlimited searches CSV export API access 2 users The realistic starting point for anyone running a motion off this data, and the tier most app developers land on.
Elite	$450 per month	All stores across all 410-plus platforms Unlimited searches Full API access Historical data and advanced features 3 users Buy this when your product is platform-agnostic and the two-platform cap on Pro starts cutting out real prospects.
Enterprise	$950 per month	Everything in Elite Higher API rate limits Dedicated account manager 10 users

Add-ons

Additional user ($35 per user per month): Applies across all plans, so a five-person team on Pro is really $250 plus $105.

Billing notes

Annual subscriptions carry a 15 percent discount against the monthly prices listed, which are current as of August 2026.
The platform cap is the hidden cost driver. Premium and Pro each cover two ecommerce platforms; if you sell to Shopify, WooCommerce, and BigCommerce merchants alike, the honest price is Elite at $450 rather than Pro at $250.
Exports and API calls are not sold as credits, so within a plan the marginal cost of another 10,000 records is zero. That is a meaningfully different model from credit-based data vendors.
Contact discovery is not included. Budget for Apollo, ContactOut, Cognism, or FullEnrich alongside it if you need named people rather than a general store inbox.
Seat pricing at $35 each adds up quickly for an agency putting every account manager in the tool.

Value assessment: Model it at two volumes. A solo app developer on Pro at $250 who exports 3,000 targeted merchants a month is paying roughly 8 cents a record for data that includes dated app installs, revenue estimates, and app spend, which no general contact database can produce at any price. An agency on Elite at $450 pulling 40,000 rows across every platform is at roughly a cent a record. Both are good. The bad deal is Premium at $75, where the absence of export means you cannot actually use what you are paying for; treat it as a $75 research subscription and nothing more. Add a contact vendor on top and the true cost of a working motion is closer to $350 to $600 a month than the headline $75.

Strengths & limitations

Strengths

Dated app install and uninstall records refreshed weekly are one of the cleanest buying signals available anywhere: an uninstall means an unsolved problem, right now, at a named store.
Coverage of roughly 13.8 million active stores across 410-plus platforms is the most complete ecommerce index a small business can actually buy.
Weekly refresh across the entire database, rather than opportunistic recrawling, means the worst-case staleness is measured in days rather than months.
Estimated app spend is a better qualification filter than revenue, because it directly measures willingness to pay for software.
Exports and API calls are unmetered within a plan, so cost per record falls sharply with usage.
Documentation is unusually honest about how estimates are derived and where they break, which makes the data auditable rather than a black box.
Keeping personal contact data out of the product and handing off to enrichment vendors is a defensible privacy posture and reduces your own compliance exposure.

Limitations

Ecommerce only. There is no coverage of B2B software companies, services firms, or anything without an online store, which rules out most of the market.
The two-platform cap on Premium and Pro is easy to miss when comparing prices and is the most common reason buyers end up on a more expensive plan than they budgeted.
No CSV export or API on the $75 plan makes the advertised entry price misleading as a working cost.
Revenue and app spend are modelled estimates. They are good enough for segmentation and wrong often enough that quoting them back to a merchant on a call is risky.
Weekly refresh is a deliberate ceiling. If your motion needs to know within an hour that something changed, this is the wrong architecture.
No named contacts, so every workflow needs a second vendor and a second bill before a single email goes out.
Detection of app installs relies on public page artifacts, so a store using a headless front end or a server-side integration can show a thinner stack than it really runs.
Very small company with no published SOC 2, which will stall an enterprise security review.

Head-to-head comparisons

5 alternatives

Store Leads vs BuiltWith

from $0 for individual site lookups, then $295 per month for Basic

BuiltWith covers the whole web across roughly 492 million domains with eighteen years of dated history, from $295 a month. Store Leads covers ecommerce only, at 13.8 million stores, but adds revenue estimates, app spend, product counts, and carrier data that BuiltWith does not model, from $75. If every prospect you want runs a storefront, Store Leads is cheaper and deeper; the moment your list includes SaaS companies or publishers, only BuiltWith covers them.

Full Store Leads vs BuiltWith comparison

Store Leads vs Wappalyzer

from $0 (Free), then $250 per month (Pro)

Wappalyzer is the cheap generalist: a free extension, credit packs, and technology lists across all kinds of sites. Store Leads is the ecommerce specialist with attributes Wappalyzer has no equivalent for, including app spend and uninstall dates. Use Wappalyzer to test whether a technographic motion works at all; move to Store Leads once you have confirmed your buyers are merchants and you need the commerce-specific fields.

Full Store Leads vs Wappalyzer comparison

Store Leads vs TheirStack

from Free tier on signup, then $49 per month for 1,500 credits or $109 once for 1,000 credits

TheirStack infers what a company uses from its job postings, which is how you find internal tools that never appear on a website. Store Leads reads the storefront directly, which is how you find checkout, review, and loyalty apps that never appear in a job ad. For an ecommerce vendor Store Leads is the primary source and TheirStack is the supplement; for a back-office software vendor it is the reverse.

Full Store Leads vs TheirStack comparison

Store Leads vs Clay

from Free plan; paid from $149/mo

Clay orchestrates: it runs waterfalls across data providers, enriches, scores, and pushes into sequences, but it does not own an ecommerce index. Store Leads owns the index and stops at export. Teams already running Clay should buy Store Leads for the data and let Clay do the routing; teams without an orchestration layer will be working from CSVs and a CRM push.

Full Store Leads vs Clay comparison

Store Leads vs Apollo.io

from Free plan; paid from $49/user/mo

Apollo is a contact database with a sequencer attached, and it is the natural companion here rather than the alternative: Store Leads tells you which merchant to approach and why, Apollo tells you who to email and sends it. Store Leads even integrates with Apollo for exactly this. Buying only Apollo leaves you guessing which stores matter; buying only Store Leads leaves you with domains and no humans.

Full Store Leads vs Apollo.io comparison

Implementation & onboarding

Setup time: Under an hour to a first useful list. Sign up, pick your two platforms, apply filters on platform, geography, sales estimate, and installed apps, and export. Wiring alerts and a CRM push is another afternoon.
Learning curve: Low. The filter interface is clear, the attribute names mean what they say, and the documentation explains the estimates. The genuine skill is picking thresholds that separate real businesses from hobby stores, which takes a couple of iterations.
Onboarding: Fully self-serve on Premium, Pro, and Elite with no sales call. Enterprise adds a dedicated account manager. There is no implementation fee on any tier.
Migration notes: Nothing to import. On exit, exported CSVs and anything already written into your CRM remain yours, but saved segments and alert definitions do not port anywhere. Because the API is included rather than sold separately, a full extract before cancelling is straightforward on Pro and above.

Platform, API & security

Platforms: Web applicationREST APIChrome extensionCSV export
API: REST API included on Pro, with full access on Elite and Enterprise and higher rate limits at the top tier. It is part of the subscription rather than a separately metered product.
Compliance: Stores non-personal business contact data only, which materially narrows GDPR exposureNo publicly advertised SOC 2 attestation
Data residency: Not published. The operating company, Lochside Software, is Canadian.
SSO: Not advertised on the published tiers.
Security notes: The deliberate decision to hold general business emails and phone numbers rather than named individuals is the notable security posture here: it keeps the dataset largely out of personal-data territory and pushes that exposure onto whichever enrichment vendor you pair it with.

Support & resources

Channels: Email supportDedicated account manager on Enterprise
Documentation: A detailed help centre covering every data attribute, how each estimate is calculated, the API, alerts, and the CRM integrations.
Community: No formal user forum; the company publishes a blog of ecommerce platform market analysis that is widely cited.

Company

Founded: 2019
Headquarters: Victoria, British Columbia, Canada
Ownership: Privately held, operating as Lochside Software, Inc.
Employees: Very small, reported at around four people
Funding: No venture funding disclosed.

Timeline

2019Store Leads launches from Victoria, British Columbia under Lochside Software, indexing Shopify stores for app developers and agencies.
2021Coverage broadens well past Shopify into WooCommerce, Wix, BigCommerce, and a long tail of regional carts.
2023App install and uninstall dating, estimated app spend, and revenue estimates turn a store directory into a signal product.
2024CRM integrations and contact-vendor handoffs to Apollo, ContactOut, Cognism, and FullEnrich make the data usable without leaving a workflow.
2026The index reaches roughly 13.8 million active stores across more than 410 platforms with around 1.8 billion products, refreshed weekly.

Integrations

HubSpot
Salesforce
Pipedrive
Outreach
Apollo
ContactOut
Cognism
FullEnrich
REST API
CSV export
Chrome extension

Frequently asked questions

10 questions

What is Store Leads?

Store Leads is an ecommerce data platform. It tracks roughly 13.8 million active online stores across more than 410 ecommerce platforms and records over 40 attributes for each, including which apps are installed, when each was installed or uninstalled, estimated monthly sales and app spend, product counts, themes, shipping carriers, and social following. You search that index with more than 60 filters and export the results.

How much does Store Leads cost?

Premium is $75 per month for two ecommerce platforms and 2,000 searches, with no export or API. Pro is $250 with unlimited searches, CSV export, API access, and two users. Elite is $450 for all platforms and full API access. Enterprise is $950. Extra users are $35 each and annual billing saves 15 percent.

Which signal does Store Leads own?

Technology installs, specifically ecommerce app installs and uninstalls with dates. That is a narrower and sharper signal than general technographics: an uninstall on a live store means a merchant just removed something that was not working, which is the most actionable moment in the whole category. It does not do funding rounds, job changes, hiring, or website visitor identification.

How fresh is the data and how stale can it get?

The entire database is refreshed on a weekly cycle, which is the clearest freshness commitment of any vendor in this category. Worst case, a record is about seven days out of date. That is a real ceiling: something that changed this morning will not be visible until the next pass, so this is a tool for outbound cadence, not for real-time triggering.

How reliable are the revenue and app spend estimates?

They are modelled, not observed, and the help centre says so plainly along with how each is derived. Use them the way they are meant to be used: as thresholds to separate a serious merchant from a hobby store, and to rank a list. Do not quote a merchant their own estimated revenue on a discovery call, because when the number is wrong it is wrong by a lot and you lose the room.

Could I gather this signal free from a public source?

For one store, yes. You can view a storefront's page source, check an app's public directory listing, or install a free detection extension and work out roughly what a single merchant runs. What you cannot do without spending months is invert that across 13.8 million stores, or keep a dated record of when each app appeared and disappeared. The install date is the part you genuinely cannot recreate after the fact, and it is the part worth paying for.

Is the output a dashboard or a routed task?

Both, partly. The core experience is search and export, so most users work from CSVs. Alerts and workflow automations on paid tiers can fire when a store enters or leaves a saved segment, and the HubSpot, Salesforce, Pipedrive, and Outreach integrations push records into a system where a rep has tasks. There is no sequencer and no native emailing; the sending tool is yours.

Are exports limited, and does the API cost extra?

Within a plan, exports and API calls are not metered by credit, so once you are on Pro or above the marginal cost of another ten thousand records is nothing. The API is included in the subscription rather than sold separately, which is a favourable contrast with BuiltWith. The real limit is not volume but platform coverage: Premium and Pro cover two ecommerce platforms and Elite covers all of them.

Does Store Leads give me email addresses for decision makers?

No, and this is deliberate. It holds general business emails and phone numbers rather than named individuals, and integrates with Apollo, ContactOut, Cognism, and FullEnrich for contact discovery. That keeps Store Leads largely out of personal-data territory but means a working outbound motion needs a second vendor and a second bill.

Who runs Store Leads?

It is operated by Lochside Software, Inc., a privately held Canadian company based in Victoria, British Columbia, founded in 2019 with a team of around four people. There is no disclosed venture funding. The small size shows up as fast, competent email support and as a lack of the compliance paperwork an enterprise buyer would expect.

Editorial verdict

Store Leads is the best value in this whole category if and only if your customers sell things online. The weekly refresh, the dated app install and uninstall records, and the estimated app spend give you a qualification stack that no general database can match, and unmetered exports mean the cost per record collapses once you are actually using it. Buy Pro at $250 if you sell into one or two platforms, or Elite at $450 if you are platform-agnostic, and budget another hundred or two for a contact vendor because Store Leads will not give you named humans. Skip Premium at $75: without export it is a research subscription wearing a prospecting plan's clothes. And be ruthless about the fit question, because outside ecommerce this product has literally nothing to say.

Written by the SaaSTracker editorial team. Awards, when shown, are judged against the published criteria in our methodology.