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7/10

Store Leads

storeleads.app

Does Store Leads have a moat?

Kinda.

34/100 · Shallow moat

“A Shopify store list is a weekend scrape. Years of crawl history across 415 platforms, plus a spot inside Clay and HubSpot, take much longer.”

Code to copy

a month

Moat to cross

a year

Market

Crowded market

Share on X
Moat depth
MoatlessShallowReal

Revenue not verified. Founders can list on TrustMRR to show it here.

01/The verdict

A crawled database of 14.2M ecommerce stores on 415 platforms, sold from $75 to $950 a month to agencies, Shopify app developers, sales teams and investors.

Many companies already sell the same data: BuiltWith, Wappalyzer, StoreCensus, StoreInspect, BootLeads, BrandNav, Openmart and StoreRadar, plus several Apify scrapers at a few dollars per 1,000 records. What protects Store Leads is years of crawl history and app-install change data across 415 platforms, its listing as a data provider inside Clay, HubSpot and Pipedrive, and SEO from its platform report pages. A determined crawler matches the current snapshot in months but can't backfill the history. Customers can switch easily, so this is shallow protection.

02/3 moats

Proprietary data

Real

~18 mo to cross

Store Leads tracks 14.2M active stores on 415 platforms and records history like platform switches, app installs and removals, and launch dates. Investors buy it as alternative data. A new crawler can rebuild today's snapshot but not the past.

To cross it: Build a crawler that detects many platforms, run it for a year or more to build up change history, and win on Shopify-only depth or fresher data in the meantime.

Integrations

Shallow

~6 mo to cross

Store Leads is a native enrichment provider in Clay (since May 2023, and Clay's Sculptor AI agent queries it), and has apps in the HubSpot and Pipedrive marketplaces plus Salesforce and Apollo connectors. Teams using these tools find it without searching.

To cross it: Ship an API and apply to Clay's provider program and the HubSpot and Pipedrive marketplaces. Expect a few months of review and partner work.

Distribution

Shallow

~9 mo to cross

Programmatic report pages like 'The State of [platform]' and platform migration lists rank for long-tail ecommerce platform searches. Rivals such as StoreRadar and TechPeeker write 'Store Leads alternative' pages to capture its brand traffic. Global site traffic is modest, around #144k on Similarweb.

To cross it: Publish programmatic platform and app reports, plus comparison pages targeting Store Leads' brand searches.

03/The gap

Easy to copy

  • Basic store discovery and tech detection for Shopify and WooCommerce is a common scraping job, and Apify actors already sell it at $1.40 to $4 per 1,000 results.
  • Filters, the search UI, the Chrome extension and CSV export are all simple to rebuild.
  • Contact data is only storefront emails, a gap reviewers complain about that competitors already fill with verified emails.
  • Customers face little lock-in. Lead lists get exported once and then used elsewhere.

How you'd go after it

  • Undercut on exports: CSV export starts at $250 a month, so sell the full file once (StoreRadar charges $149) or offer cheap monthly exports.
  • Bundle verified decision-maker emails and phone numbers so buyers don't need a separate enrichment tool on top.
  • Go deep on one niche: a daily feed of newly launched stores, better coverage outside the US and Western Europe where reviewers say its data is weaker, or Shopify app-install signals for app developers.
  • Sell to hedge funds as a GMV and merchant-count dataset with cleaner methodology and longer backfill bought from other crawlers.

04/Build against it?

Only with an edge

Only go in with a specific edge: verified contacts bundled in, a much cheaper export model, or a niche like new-store feeds or non-Western markets. A plain clone of a store list joins at least ten others already competing on price.

Already selling this:BuiltWithWappalyzerStoreCensusStoreInspectBrandNavOpenmart

05/Receipts

Checked 59m ago by Claude Opus 5.5 on high effort, with web search. Confidence: medium.

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