Keaz Signals vs Store Leads
Looking for a Store Leads alternative?
Store Leads (storeleads.app) and Keaz Signals both give you ecommerce stores. Only one tells you which ones are worth emailing this week.
Your job is landing replies from Shopify and WooCommerce brands, and you want the store, the person and the trigger in one place.
You need coverage across 410 platforms, an estimated revenue figure per store, or a full app changelog for research.
Side by side
| keaz signals | StoreLeads | |
|---|---|---|
| Core idea | ✓Buying signals with contacts | Searchable store directory |
| Platforms covered | Shopify and WooCommerce, EU and NA | ✓410 platforms |
| Live buying signals | ✓Yes, with triggers that start campaigns | Dated fields, no triggers |
| Contact data included | ✓Yes, including non listed founder addresses | Store level, enrichment usually needed |
| Revenue estimate per store | No | ✓Yes, estimated monthly sales |
| App install history | Current installs | ✓Full install and uninstall changelog |
| Email written for you | ✓Yes, from the signal | No |
| Data export | No, leads move into campaigns | ✓CSV and API from the mid tier |
Four rows where they win, on purpose. Feature and access comparisons only, no prices.
One row in that table usually surprises people, so it is worth being direct about it. We do not offer a CSV download and we do not plan to. Every other tool on this page sells you a file. We move leads into campaigns instead.
The trade is real and it goes both ways. You cannot take the data somewhere else, and that is a genuine limitation if a portable list is what you are buying. In exchange, releasing access market by market actually protects something, and the store you unlock today is still yours in six months without paying for it again.
Signal-to-send map · shop-directories
Keaz Signals vs StoreLeads
advantage on this axis (either side) · ✓ full · ◐ partial · — not offered
Core axes
| Signal freshness | Store-level vs. company-level | Ecommerce ICP fit | Contacts included | Signal → campaign path | Platform risk | |
|---|---|---|---|---|---|---|
| Keaz Signalskeaz.ai | ✓ Live signals; stores re-scraped weekly, signals days oldContract §3, 2026-08-30 | ✓ Store-levelContract §3 | ✓ Agencies and software selling to storesContract §2/§3 | ✓ Included, founder addresses among themContract §3 | ✓ Closed loop via Instantly, replies sync backContract §3 | ✓ No third-party platform account in the middleContract §3 |
| StoreLeadsstoreleads.app | ◐ Index updated weekly"135,000 new active stores added every week" = index growth, not triggers — storeleads.app, 2026-09-01 | ✓ Store-level13,761,165 active stores indexed — homepage counter, 2026-09-01 | ✓ Prospecting directory for the same world"Ideal for lead generation, data enrichment, market research" — 2026-09-01 | ◐ Contact data as a filter over the directoryCoverage file, "Where we win", 2026-09-01 | — CSV handoff — the workflow ends therePricing section: "Export to CSV", "API Access" — 2026-09-01 | ✓ No third-party platform account in the middleDirectory + export product — 2026-09-01 |
Store-level vs. company-level: Shared ground — both work at store level. · Ecommerce ICP fit: Shared ground — differentiated by the trigger axis. · Platform risk: Shared ground — neither depends on a platform account.
Shop-directory axes
| Update cadence | Trigger vs. attribute | Filter depth | |
|---|---|---|---|
| Keaz Signalskeaz.ai | ✓ Weekly re-scrape, signals surfaced days oldContract §3 | ✓ A store that just did somethingNamed signals: new Meta ads, product launch, tool installed… — contract §3 | ◐ Segment builder: country, platform, followers and other conditionsContract §3 |
| StoreLeadsstoreleads.app | ✓ Weekly data updatesHomepage, 2026-09-01 | — A store record: attributes + history"Over 40 attributes tracked" — 2026-09-01 | ✓ 60 search filters, 40+ attributes, 8,019 apps, 998 technologiesHomepage counters, 2026-09-01 |
Update cadence: Same cadence; what differs is what gets updated.
Where StoreLeads is the better choice
| Platform breadth | Technographic depth | Historical data | CSV export + API | |
|---|---|---|---|---|
| Keaz Signalskeaz.ai | — Shopify + WooCommerce onlyContract §3 — stated openly | ◐ Signals name the tool installed (Klaviyo, Brevo & co.)Contract §3 | — No history productContract §3 | ◐ CSV export of unlocked contacts; API on the roadmapCODE-1966 — CSV export live, 2026-09-15 |
| StoreLeadsstoreleads.app | ✓ 409 ecommerce platformsHomepage counter, 2026-09-01 | ✓ 8,019 apps / 998 technologies trackedHomepage counters, 2026-09-01 | ✓ "Historical Data — Full Access" (Enterprise)Pricing section, 2026-09-01 | ✓ CSV export and API as first-class deliverablesPro tier and up, 2026-09-01 |
What StoreLeads is good at
StoreLeads is a well built store directory. It tracks stores across more than 400 ecommerce platforms with over 60 filters, refreshes weekly, and goes deep on technographics, down to which apps and themes a shop runs. If your question is "which stores use this technology", it answers that better than we do.
Keaz Signals starts from a different question: which stores just did something that makes them worth contacting this week, and who exactly do I email?
The difference is the trigger, not the data
StoreLeads records when things changed. It will tell you an app was installed on a given date, or that a store gained followers over the last 90 days. That is real, dated data and it is more than most directories offer.
What it does not do is act on it. To use a change you export again, compare the file against your last export, work out what moved, and load the difference into a sending tool. By hand, in batches, on your schedule. There is no campaign engine on the other end.
Our campaigns subscribe to the event instead. A store starts running ads, it enters the campaign, and the email is written from that specific event. Nothing to export, nothing to diff, nothing to reimport. More on the signals that trigger campaigns and what each plan includes.
Where StoreLeads is ahead: it publishes an estimated monthly revenue per store, it keeps a full app install and uninstall changelog, and it covers 410 platforms to our two. We do none of those things.
Contacts: included, not a second purchase
StoreLeads provides store level business data. To reach a named decision maker, most teams export their domain list and enrich it with a separate contact tool. That is another subscription, another step, and another place where data goes stale.
With Keaz Signals contacts come with the store, including founder addresses that are not listed publicly. We find those through name combination testing and verification rather than buying them from the same source everyone else buys from.
Those providers refresh on their own schedule, so records decay between refreshes, and because everybody draws from the same well, everybody inherits the same decay. More on what is actually in the database.
Where StoreLeads is the better choice
We cover Shopify and WooCommerce across the EU and North America. We do not cover 400 plus platforms. If your targets sit on Magento, BigCommerce or Wix, store leads data from StoreLeads has the better coverage today, and we would rather tell you that than sell you a mismatch.
The same applies if you need technology research rather than outbound. StoreLeads is built as a directory and it is good at being one.
Which alternative fits you
If you want breadth across platforms and already have a contact and sending stack you are happy with, StoreLeads is the stronger option.
If your job is landing replies from ecommerce brands, and you would rather have the store, the person, the reason to write and the email in one place, this is the alternative worth testing. See all comparisons side by side.
Every tool on this page can write with AI. What they write is a template: one script per campaign, with the company name and a few fields dropped in. Ours writes a different email for every store, built from the specific thing that store just did. That is why the reply rates are not comparable.
Frequently asked questions
Is Keaz Signals a StoreLeads alternative?
For outbound to Shopify and WooCommerce brands, yes. You get store data, contacts and timing in one place instead of stitching three tools together. For broad platform research, StoreLeads remains the more complete directory.
Why do buying signals matter more than a bigger list?
Because reply rates follow timing rather than volume. Our own numbers, as of August 2026, moved from about 3.9 to about 8.5 percent on an unchanged message, purely by sending in the right week.
Do I get decision maker contacts or just domains?
Contacts are included, including non listed founder addresses we discover and verify ourselves.
How current is the data?
Stores are re-scraped weekly and every signal carries a last seen date.
Can I test it before committing?
Yes. Signing up gives you 500 credits to spend inside segments you build yourself.
See both side by side, on your market.
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