Apollo vs Cognism for Prospecting: Why I Don't Decide on the Accuracy Number

The question isn't which one is "more accurate"

I'm Hlib Storchak. I build outbound systems for B2B founders and sales teams, and I've had lists sourced from both of these tools feed campaigns that added up to over 2000 meetings booked for B2B clients. "Apollo or Cognism" comes up almost every time a client is building a new list or arguing internally about whether their current data vendor is actually any good.

Here's my honest opinion, stated up front: most people ask this question backwards. They want a single accuracy percentage that settles it. That number doesn't exist in a form you can trust, because every accuracy figure attached to either tool, vendor-published or third-party, is self-reported by someone with a reason to make their own number look good. The question that actually settles it is simpler: what job are you hiring the data tool to do, and which one was built for that job.

What each is actually built to do

Apollo is a broad, all-in-one sales platform. Contact and company data sit alongside sequencing, a dialer, and CRM sync in one product, priced to be affordable at volume. Cognism is a narrower, compliance-first data specialist: it does not run your sequences, it feeds contact data into whatever sequencer or CRM you already run, and it is built around European calling compliance and phone-verified mobile numbers as its core pitch.

That split explains almost everything else in this article. Apollo wins on breadth and price. Cognism wins on depth in a narrower lane. Comparing them purely on a database accuracy stat treats two differently-shaped tools as if they were competing on the same axis.

What Apollo's own page claims

Apollo runs a page comparing itself directly to Cognism. On its own comparison page, Apollo states:

• A database of 240M+ people and 30M+ companies.
• 98% verified email accuracy, attributed to what it calls its Living Data Network.
• Credit-based pricing starting at $49 per user per month on annual billing, with a free tier that includes 900 credits a year.
• Cognism positioned as a narrower, phone-data-focused platform with "European market depth," with no specific database count given for Cognism on Apollo's own page.

Read that the way you'd read any vendor's page about a competitor: the claims about Apollo itself are checkable against Apollo's own site, and the characterization of Cognism is Apollo's framing, not something pulled from Cognism's page.

What Cognism's own page claims

Cognism runs the mirror-image page. On its own comparison page, Cognism states:

• SOC 2 accreditation and proactive TPS and Do Not Call list screening across 15 countries.
• A "notified database" model it says is overseen by the UK's Information Commissioner's Office.
• A 16-step email verification process, which the page contrasts with what it describes as Apollo's seven-step process.
• No credit consumption for numbers that come back suppressed, contrasted with Apollo's credit-per-lookup model.
• A customer quote citing 80% data accuracy "after evaluation." That's one customer's testimonial on Cognism's own page, not a company-wide, independently audited figure.

Cognism does not publish a single headline database size the way Apollo does. Its pitch leans on the verification process and compliance tooling rather than raw scale.

Why I don't trust either accuracy number

Here's where my opinion gets stronger. If you search around for a third-party read on the two, you'll find genuinely conflicting figures. One frequently cited independent-sounding source puts Apollo's email accuracy at roughly 73%. Cleanlist's own data enrichment benchmark, updated August 2, 2026, ran 500 real B2B leads through a 15-plus-provider waterfall against single-source databases on the identical input, and found single-source tools landing at 70 to 80% verified email and 30 to 60% phone in aggregate. But the same article's own comparison table lists Apollo at 80% email accuracy and Cognism at 87% email plus 60% phone coverage, and it discloses those specific per-vendor figures as vendor-reported claims restated in a table, not results from Cleanlist's own 500-lead test broken out by name.

So you have: Apollo's own page claiming 98%, an independent-sounding source citing roughly 73%, and a benchmark site's table citing 80%, all describing the same product. Cognism's own customer testimonial cites 80%, while a benchmark table elsewhere cites 87%. None of these is a lie exactly. They're measuring different things (verified vs. deliverable vs. matched), on different samples, at different times, and several of them are simply restating a vendor's own claim as if it were an independent result. That's not a reason to panic. It's a reason to stop treating any single percentage as the deciding factor and start testing your own list instead, which is the same advice I'd give for any B2B data vendor comparison I write.

Coverage: US breadth vs EU and UK phone depth

Apollo's 240M+-person database is weighted toward US and North American coverage by its own description, with the company acknowledging thinner mobile and direct-dial data outside that region. Cognism was built out of London, and its phone-verified mobile tier (branded Diamond Data) is aimed squarely at UK, DACH and Nordic coverage, with a human researcher confirming a number reaches the named contact before it's added to the database rather than relying purely on inference or scraping.

If your ICP is overwhelmingly US-based and email-led, Apollo's breadth matters more than Cognism's phone depth. If your motion includes calling into Europe or the UK, the reverse is true, and no database-size number changes that.

Compliance: GDPR, DNC lists and why it matters more here than you'd think

This is the clearest, least disputed difference between the two, and it's the one I weight most heavily when a client is calling into Europe. Cognism built Do Not Call and suppression list screening across 15 countries into the product, by its own count, plus SOC 2 accreditation and a database model it says is overseen by the UK's ICO. Apollo meets standard data protection requirements but was not purpose-built around European telemarketing restrictions the way Cognism was.

The mistake I see most often when I take over an account that's calling into the EU is a team that picked a data vendor on price or database size and never checked whether it actually screens against the Do Not Call registers that apply to the countries they're dialing into. That's a compliance and reputation risk, not just a data-quality one, and it's worth more weight than an accuracy percentage.

Pricing model: credits vs a sales-led contract

Apollo publishes its pricing: plans start at $49 per user per month on annual billing, with a free tier covering 900 credits a year, all on its own current pricing page. Cognism does not publish pricing publicly; you go through a sales-led process to get a quote, so check current pricing directly with Cognism before you budget anything, since packaging on data platforms like this changes often enough that any number printed in an article goes stale within a quarter.

The practical difference beyond the number itself: Apollo's credit system means your cost scales with lookups, which is easy to model but can surprise you at volume. Cognism's contract model builds compliance screening and human-verified numbers into the price, which is why it typically costs more per seat but removes some of the per-lookup guesswork.

Side by side

My honest take: which I'd pick, and when

If I'm running a US-heavy, email-first outbound motion for a client and I want one platform that handles data, sequencing and dialing without stitching tools together, I reach for Apollo. The database is broad enough, the price makes it easy to justify at volume, and the all-in-one shape cuts down on integration work.

If a client's outbound leans on calling into Europe or the UK, or GDPR and Do Not Call compliance is a real operating risk rather than a checkbox, I reach for Cognism, and I treat the extra cost as paying for the compliance tooling and the human-verified mobile numbers, not for a marginally better accuracy percentage I can't actually verify.

Plenty of teams I've worked with end up running both: Apollo for US-wide list building and sequencing, Cognism layered in specifically for European accounts that need phone-verified numbers and DNC screening. That's not indecision, it's matching the tool to the geography, which is the same logic I'd apply to any two data vendors with genuinely different specialties.

How I'd check this on your own list before you sign anything

Pull 50 to 100 of your actual target accounts, the kind you'll really prospect, and run them through a trial or demo of both. Count matches yourself: email match rate, and mobile match rate specifically if calling is part of your motion. Check how current the records look for the exact country your prospects sit in, since staleness varies more by region than either vendor's headline number suggests. That thirty-minute check tells you more than any accuracy percentage, from either vendor or a third party, that you'll find by searching.

This is the same check I run before recommending a data vendor to a client: the tool that wins the sales call is not always the tool that wins on the client's actual list, and you only find the gap by testing it on accounts that look like the ones you're actually going to prospect.

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