Keaz Signals vs Apollo
Looking for an Apollo alternative for ecommerce?
Apollo is a very good general B2B database. Small ecommerce brands are the one place it structurally struggles.
Your buyers are small ecommerce brands, the kind that never post a job or issue a press release, and timing is what you are missing.
You sell into companies with a B2B footprint and want the dialer, the CRM and the sequencing under one login.
Side by side
| keaz signals | Apollo | |
|---|---|---|
| Core idea | Ecommerce buying signals | General B2B contact database |
| Database size | Shopify and WooCommerce, EU and NA | ✓Around 240 million contacts across 30 million companies |
| Ecommerce fields | ✓Apps, ad activity, socials, storefront changes | None |
| Live buying signals | ✓Yes, with triggers | Job postings, funding, news. Signals means saved filter sets |
| Dialer and CRM | No | ✓Included in the same workspace |
| Email written for you | ✓Yes, from the signal | Template per sequence |
| Data export | No, leads move into campaigns | ✓CSV included, API on custom plans |
Three 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.
What Apollo is good at
Apollo holds around 240 million contacts across 30 million companies, with sequences, a dialer and a CRM in the same workspace. If you sell into companies with a B2B footprint, it is one of the most complete tools available and the sequencing is mature.
Why it struggles with small stores
The problem is not size, it is how the technology data is built. Apollo's own 2026 documentation describes extracting technology signals from more than ten million job postings.
A Shopify store with three people does not post jobs. The mechanism that makes Apollo's technographics deep is the one that misses our entire target group. Apollo also points at a dedicated web technology vendor rather than itself for ecommerce research, which is a fair assessment of its own coverage.
There is a second naming issue worth knowing. In Apollo, signals are saved combinations of filters that you set up yourself, not an external event feed. Job postings means job postings, news means press releases and website visitors means visitors to your own site.
Our side works the other way round: the event arrives first and the campaign follows it. See the signals that trigger campaigns, what is actually in the database and what each plan includes.
Where Apollo is the better choice
If you sell outside ecommerce, Apollo is the better tool and it is not close. Our entire advantage is depth in one vertical, which is worth nothing to you if that vertical is not yours.
Apollo is also the more complete workspace: dialer, CRM and sequencing under one login. We do outbound to ecommerce brands and leave the rest of your stack alone.
What an ecommerce record holds instead
The fields we carry exist because outbound to a small store needs different evidence than outbound to a company with a hiring page.
Which platform the storefront runs, which theme, which apps are installed, whether Meta ads are live and whether the volume is climbing, Instagram and TikTok following and its growth rate, when the catalogue last changed, and when the storefront was last rebuilt.
None of that comes from a job posting, a press release or a funding round. It comes from reading the storefront and the ad library every week, which is expensive and breaks constantly, and is the reason the data is hard to copy. The honest tradeoff is scope: we hold this depth for Shopify and WooCommerce in the EU and North America, and nothing outside it.
Contacts follow the same logic. A three person brand rarely lists a founder address anywhere, so we test name combinations against the domain and verify what resolves rather than buying rows that everyone else has already bought. Coverage and method are both documented in what is actually in the database.
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
Can Apollo find Shopify stores?
Apollo has a technology filter covering a large number of technologies. What we can say from their own documentation is that the technology data is built largely from job postings, which small stores do not publish.
Is Keaz Signals an Apollo alternative?
For ecommerce outbound, yes. For multi industry prospecting with a dialer and CRM, no.
Do you have sequences too?
Yes, and the sending runs through your own Instantly account.
See both side by side, on your market.
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