A Recruiter Lite seat gets you 30 InMails a month. An Apollo free plan gets you a 270M-contact database and enough email credits to run outreach every day. So it is no surprise that recruiters keep showing up in a tool that was built for salespeople. The price gap is real, and the contact data is genuinely deep.
The trap is assuming that cheap contact data is the same thing as a sourcing tool. Apollo.io is a sales-intelligence platform. It is very good at telling you how to reach a person once you already know who they are. It was never designed to help you figure out who the right person is in the first place, and that gap is exactly the part of recruiting that takes the most time.
Here is an honest read on where Apollo earns its place in a recruiter's stack, what it actually costs in 2026 once the credit math kicks in, and the point where you are better off with a tool built for candidates.
What Apollo actually is
Apollo is a B2B go-to-market platform. Its core is a contact database of more than 270 million records, refreshed through its network and third-party providers, wrapped in search filters, email sequences, and a dialer. Sales teams use it to find decision-makers at target accounts and run outreach at volume. Everything about the product assumes the person you are contacting is a prospect, not a candidate.
That framing matters because it shapes the data. Apollo is strong on current work email, job title, company, and firmographics. It is thin on the things a recruiter evaluates a candidate on: the shape of a career, the depth of a specific skill, whether someone is receptive to a move. Apollo will tell you a senior engineer's email in seconds. It will not tell you whether that engineer actually built the systems you need or whether they would take your call.
How recruiters really use it
Recruiters who get value from Apollo tend to use it for one of three jobs, and the first is the strongest fit.
The clearest win is agency business development. If you run a desk, Apollo is a fast way to find and reach the hiring managers, VPs, and founders who sign your fees. This is the job Apollo was literally built for: finding decision-makers at companies and emailing them. Recruiters use it to find hiring-manager emails and load them straight into a sequence.
The second job is candidate contact enrichment. Apollo carries personal emails in its database, so when you already have a shortlist of names from LinkedIn or another source, Apollo can often find a personal address to reach them off-platform. This is enrichment, not discovery. You bring the names, Apollo finds the inbox.
The third job is high-volume cold outreach, using Apollo's built-in sequences and dialer instead of a separate outreach tool. It works, but it is generic sales sequencing rather than anything recruiting-specific, and there is no signal telling you which of those cold contacts is worth the effort.
What Apollo costs in 2026
The sticker price is low. The real cost hides in the credit system.
Apollo has four tiers. The Free plan gives you database access, basic filters, and email credits under a fair-use cap of roughly 250 sends per day. Paid plans, billed annually, run Basic at $49, Professional at $79, and Organization at $119 per user per month, with Organization requiring a three-user minimum. Monthly billing adds 15 to 25 percent.
Then the credits bite. Credits expire at the end of each billing cycle, so unused capacity does not roll over. Phone-number credits cost roughly eight times what an email credit costs. Overage credits run about $0.20 each with a 250-credit minimum purchase. Intent signals and website-visitor tracking, two of the features that sound most useful, sit behind the $119 Organization tier. Add it up and real-world spend lands closer to $150-$400 per user per month once overages and upgrades are counted.
| Plan | Price (annual, per user) | What you get |
|---|---|---|
| Free | $0 | Database access, basic filters, email credits (fair use ~250/day) |
| Basic | $49/mo | 1,000 email credits, 75 mobile credits, CRM integrations |
| Professional | $79/mo | Higher limits, A/B testing, advanced automation, dialer |
| Organization | $119/mo (3-user min) | Intent signals, visitor tracking, international dialer, API |
Even at the high end, Apollo is cheaper than a LinkedIn Recruiter seat. The question is not whether it is cheap. It is whether cheap contact data does the job you need done.
Where Apollo breaks for candidate sourcing
Four limitations show up fast once you try to use Apollo as your primary sourcing tool.
Search is firmographic, not skill-based. You filter by title, company, industry, and seniority, the way a salesperson qualifies an account. You cannot search for the capability you actually hire for. A query for a payments engineer returns people whose title contains those words, not people who built payment infrastructure under a different title. That is the same keyword problem LinkedIn has, without LinkedIn's depth of career history.
There is no receptivity signal. Apollo is cold contact data by design. Nothing tells you which of these people might consider a move, so you are back to spraying outreach and hoping. A recruiter's scarcest resource is the message that gets a reply, and Apollo gives you no way to aim it.
Data accuracy costs you at the send. Export bounce rates on Apollo contacts run 15 to 25 percent, which burns credits and can hurt your sender reputation when you are running volume. The credit-expiry model compounds it: you pay for capacity monthly whether or not you use it cleanly.
The data is built for the wrong evaluation. Apollo profiles are optimized for reaching someone at their current job, not for judging their fit for your role. You still do all the sourcing judgment yourself, in another tab, before Apollo becomes useful. For the difference between finding contacts and actually sourcing, see candidate sourcing vs recruiting.
Apollo vs a tool built for candidates
The cleaner comparison is Apollo against a sourcing tool that starts from the candidate, not the contact. Glozo is built for the job Apollo skips: figuring out who the right person is.
You search Glozo in plain English, and the engine reads intent instead of matching title keywords. The Skill Graph maps each career into weighted capability clusters, so a search surfaces people by what they have actually done. Every candidate carries a Market Value estimate (built from live market job postings, not the person's salary history) and an Open to Offers signal that reads behavior rather than a self-reported flag, so you know who is worth a message before you spend one. It runs on 10M+ market signals each month, and the model that matters most for outreach ROI is the one that tells you where to aim.
| Capability | Apollo | Glozo |
|---|---|---|
| Built for | Sales prospecting | Candidate sourcing |
| Search | Title / company filters | Intent, plain English |
| Skill matching | Keyword in title | Skill Graph (capabilities) |
| Receptivity signal | None | Open to Offers |
| Compensation read | None | Market Value per candidate |
| Pricing model | Seat + expiring credits | Free signals, pay on reveal |
The two are not mutually exclusive. A smart agency setup often uses Apollo for the business-development side, reaching hiring managers to win the req, and a candidate-first tool for the sourcing side, finding the people to fill it. Where they overlap is candidate discovery, and that is the part Apollo was never built to do. You can run a search on Glozo for free and see the difference on your own open role before deciding what each tool is for.