Apollo vs. Cnvrted: Names vs. Buyers
Where Apollo genuinely wins, where it structurally can't, and how to tell which your team needs. One is a bet on coverage; the other on timing.
July 24, 2026 · by Dhruv Pradeep
If you're running B2B outbound, you've used Apollo — or you've at least had the tab open. It's the default. So let's do the honest comparison, not the hit piece: where Apollo genuinely wins, where it structurally can't, and how to tell which one your team actually needs.
Spoiler: they're not really the same category. And pretending Apollo has no strengths would be the fastest way to lose your trust, so we won't.
What Apollo is genuinely great at
Apollo earned its place. Credit where it's due:
Coverage. A database of 200M+ contacts and 30M+ companies is a serious asset. If your job is “find me every Director of Sales at a Series B SaaS company in North America,” Apollo will hand you a list in seconds. That breadth is real and it's hard to build.
Consolidation. For $49–119 per user per month, you get a contact database, email sequencing, a dialer, CRM sync, and an AI assistant under one roof. For an early-stage team that would otherwise stitch together four tools, that's a genuinely good deal, and the free tier is one of the most generous in the category.
It's a complete outbound stack. Find, sequence, dial, track — all in one place. That's not nothing. For a lot of SMB teams, it's exactly right.
If your bottleneck is coverage and consolidation — you need volume, and you need it cheap and in one place — Apollo is a fine answer. Genuinely.
The one thing it structurally can't do
Here's the line.
Apollo tells you who exists. At its best — on the higher tiers, where intent data is unlocked — it tells you which topics an account is broadly researching. That intent is topic-level and account-level: aggregated, gated by plan tier, and generally inferred from third-party web activity. It's a probability that someone somewhere at a company has been reading about your category.
What it does not tell you is: which specific person is voicing that intent, in their own words, right now.
That's not a knock on Apollo's execution — it's a limit of the model. A static database is a snapshot. It's updated, sure, but its native question is “who fits?” — not “who's moving today?” Topic-level intent is a blurry heat map of a building. It doesn't point at the person standing at the window waving.
Coverage vs. timing: two different bets
This is the real distinction, and it's worth naming plainly:
Apollo is a bet on coverage. More contacts, more filters, more reach. The theory: if you can reach enough of the right-shaped people, some fraction will be in-market. It's a volume game, and Apollo plays it well.
Cnvrted is a bet on timing. We read LinkedIn, Reddit, and X in real time and surface actual buying-intent signals — a specific person complaining about their current vendor, a founder posting three times this week about the exact pain you solve, a leadership hire that just unlocked a mandate. Not “this account is probably researching your category.” This person, this post, this window, right now.
One is a directory. The other is a live feed. Apollo answers who could buy. Cnvrted answers who's buying — the trigger you actually build a play around.
So which do you need?
Honestly? It depends on what your bottleneck is.
Use Apollo if your problem is reach — you need a big list, a sequencer, and a dialer in one affordable place, and you're comfortable running a volume motion. It's the right tool for that job.
Use Cnvrted if your problem is timing — you're already reaching people, but you're reaching them cold, at the wrong moment, and your reply rates show it. If the question keeping you up isn't “who could I email?” but “who's worth emailing today?” — that's the gap we were built for.
And plenty of teams run both: Apollo for the reach and the send, Cnvrted for the trigger that tells you when the send is worth making. A signal that fires into an Apollo sequence is worth ten cold ones.
The honest bottom line
Apollo isn't bad. It's the best version of a static-database, coverage-first tool, and that model has a real place in a GTM stack.
But coverage was never the hard part of modern selling. Timing is. The buyer who's moving right now converts at a multiple of the buyer who merely fits your ICP — and no amount of database size tells you which is which. That takes listening to the market as it speaks, in real time, in the open.
Apollo gives you names. We give you buyers.
Buyers, not names.
