Clay vs Apollo: a workflow you build against a database you search

This page is for founders, sales leaders and RevOps people deciding between Clay and Apollo, or wondering whether they need both. It compares what each vendor publishes about itself on 26 October 2026, then works through the cost for a real-sized team. For every plan, credit tier and add-on, see Clay pricing and Apollo pricing.

How we compared

Blackpearl Group, which makes Bebop, wrote this page; Bebop is neither of these products. Every price, allowance and rule comes from Clay's and Apollo's own pricing pages and documentation, read on 26 October 2026 and listed in the sources. Prices are list prices before tax. We haven't run a head-to-head accuracy test, so there are no data quality scores here, and database sizes are each vendor's own claims. The two-week test below is how to settle quality on your own accounts.

Clay vs Apollo at a glance

The real difference: search or build

Apollo is something a rep opens and uses. Filter by title, industry, headcount, technologies or job postings, reveal an email for 1 credit, add the contact to a sequence and call from the same screen. The trade-off is that you get Apollo's data and Apollo's way of working. If its records are thin in your market, the fix is a waterfall to other providers, which Apollo offers on paid plans.

Clay is something an operator builds. A table starts with a list (from Clay's own search, a CSV, your CRM or a tool like Apollo), then each column enriches it: a provider for emails, another for phones, an AI model to read the company's website and write a line about it. Clay's docs say a fully enriched record typically uses 6 to 20 Data Credits, and that "emails are cheap, phone numbers are expensive". Every enrichment, AI run and export also costs one Action.

That difference decides more than price:

• Time to first list. Apollo: minutes. Clay: hours or days, depending on how complex the table is.
• Coverage. Apollo is one source with an optional waterfall. Clay can try several providers in order and stop at the first match.
• Research depth. Apollo's AI Research is built in and works in Apollo's own format. Clay can run any prompt you write on every row, at a per-row price: its own web research models cost 1 Data Credit (Helium) or 3 (Argon) per row.
• Who owns it. A Clay workspace is only as good as the person maintaining it. If nobody will own the prompts and waterfalls, Clay costs more than its subscription.

What a month costs

Both vendors' headline prices hide a meter. Convert them into your own mix before comparing.

Two things follow. Apollo gets expensive as headcount grows, because every login is a seat. Clay gets expensive as phone numbers and AI research grow, because those use Data Credits fastest. Clay's own guidance puts Launch at fewer than 1,000 records a month and Growth at 1,000 to 10,000.

Worked example: six reps at a logistics software company

Illustrative example. The company, volumes, hit rates and the Clay phone cost of 10 Data Credits are invented. Prices are list prices published on 26 October 2026, before tax or discounts.

The team: Haulwise (haulwise.example) sells freight audit and payment software to manufacturers and distributors that spend heavily on freight. Six reps each work 100 new accounts a month with two contacts per account, a VP of logistics and a transportation manager. That's 600 accounts and 1,200 contacts a month, and 400 contacts need a mobile. Reps want a short, specific research note on each account before the first email. Haulwise already sends its sequences from Apollo.

Option A: Apollo alone, Basic for 6 seats.

• Credits: 1,200 emails × 1 + 400 mobiles × 8 = 1,200 + 3,200 = 4,400 of 6 × 2,500 = 15,000
• Research: Apollo's built-in AI Research
• Cost: 6 × $65 = $390 a month, or 6 × $49 = $294 billed annually

Option B: Clay first, Apollo kept only for sequences.

• Profiles: 1,200 × 0.5 = 600 Data Credits
• Emails: 1,080 found (90%) × 0.5 = 540
• Mobiles: 400 × 10 (assumed) = 4,000
• Research with Argon: 600 accounts × 3 = 1,800
• Total: 6,940 Data Credits, so the 10,000-credit tier on Launch. Actions: about 4,400 (one per enrichment, AI run and record exported), inside 15,000
• Cost: Clay $60 + $460 = $520, plus Apollo Basic for 6 seats to send, $390: $910 a month

Option C: Apollo first, Clay for research and gaps.

• Apollo covers contacts and mobiles from the 15,000 credits Haulwise already pays for: 4,400 used
• Clay runs Argon research on 600 accounts (1,800 Data Credits) and a waterfall for the 120 emails Apollo didn't find (10%, illustrative) at 0.5 each (60), for 1,860 Data Credits: inside Launch's 2,500
• Cost: Apollo $390 + Clay $185 = $575 a month, or $294 + $167 = $461 billed annually

Why option C beats option B here: the 400 mobiles cost 3,200 Apollo credits that sit inside seats Haulwise already pays for, but would cost about 4,000 Clay Data Credits, roughly $184 at the 10,000 tier's $0.046 a credit. When you already pay for Apollo seats, spend Clay's credits on what Apollo can't do: custom research and filling gaps.

What changes the answer:

• No appetite for custom research. If Apollo's built-in AI Research is enough for your reps, option A does the job for $390.
• Apollo's data is thin in your market. If your test shows Apollo misses a third of your buyers, Clay's waterfall earns its cost, and option B starts to make sense.
• Two users, not six. Apollo for two seats costs $130 a month; Clay costs the same for two users as for twenty, so a small team doing heavy enrichment can find Clay the better value.
• Ops time. At an illustrative 8 hours a month to maintain the Clay tables at $60 an hour, add $480 to options B and C.

Using Clay and Apollo together

Clay's Apollo integration connects your own Apollo account to a Clay table. Clay's documentation lists these actions:

A typical hybrid flow:

1. Source in Apollo or Clay. Pull accounts and people with Apollo's filters or the Find People action.
2. Fill gaps in Clay. Run a waterfall only on rows where Apollo returned no email or phone, so you pay for misses, not for data you already have.
3. Research in Clay. Add one AI column with a tight prompt, such as "the most recent change at this company that affects freight spend, with a source link". Test it on 10 rows first, as Clay's AI pricing guide suggests.
4. Score and filter. Drop rows without a verified email or a sourced research note.
5. Push back to Apollo. Use Find or Create Contact, then Add Contact to Sequence, so reps work from Apollo as usual.

Costs to check: Clay's pricing page says runs on your own provider keys use no Data Credits but still cost one Action each, and Clay's Apollo page doesn't say how Apollo's own credits are charged for each action. Run 10 rows and read both vendors' usage screens before building at scale.

Which should you choose?

Run a two-week test on 50 accounts you know

1. Days 1 and 2: build a truth set. Choose 50 accounts (customers, lost deals, researched targets) and the buyer you'd want at each, with an email or phone you know works.
2. Set pass marks. For example: 70% of buyers found, under 3% hard bounces, and every research note backed by a source.
3. Days 3 to 5: run Apollo. Use the 14-day Basic trial (50 lead credits per user) or a paid month. Search by account and role, not by name.
4. Days 3 to 5: run Clay. Use the 14-day trial (1,000 Data Credits, no phones). Build the table you'd really use: Apollo as the first provider, one or two more in the waterfall, one AI research column.
5. Days 6 and 7: score. Give +1 for the right person in their current role with a working email or number, 0 for plausible but unconfirmed, -1 for a wrong person, someone who has left, a bounce or a wrong number. Score each research note +1 if a source supports it and -1 if not. GTM-Bench, Blackpearl Group's June 2026 benchmark of AI prospecting systems, counts weak records against a system the same way, and several general-purpose AI agents in it finished with negative net scores.
6. Days 8 to 12: send. Email 50 contacts from each set in the same sequence and count bounces and replies.
7. Days 13 and 14: cost it. Project each tool to your monthly volume, add ops hours, and divide by contacts that scored +1.

Accounts: 50     Known buyers: ___     Dates: ___

                              Apollo        Clay table
Buyers found (of ___)         ___           ___
Scored +1                     ___           ___
Scored 0                      ___           ___
Scored -1                     ___           ___
Research notes sourced        n/a           ___ of ___
Emails sent / bounced         50 / ___      50 / ___
Credits used                  ___           ___ Data Credits, ___ Actions
Hours to build                ___           ___

Monthly cost at our volume:   $___          $___
Cost per usable contact:      $___          $___
Decision (Apollo / Clay / both) and why:

Where each one falls short

Apollo. Phone numbers are credit-hungry at 8 credits each, credits expire every cycle, and all seats must be on the same plan, so one power user can push a whole team up a tier. Basic's 250-a-day send cap binds for high-volume teams. And you get one database's view of your market unless you pay for its waterfall.

Clay. It's a tool for builders: the trial and free plan can't test phones, CRM sync needs Growth, and costs depend on providers and prompts you choose, so bills vary month to month. Top-ups cost a 30% premium. Without an owner, tables drift and spending creeps.

Both. Accuracy claims are self-reported, records decay as people change jobs, and neither hands reps a finished account plan without work: Apollo's research follows its own format, and Clay's depth depends on the prompts someone writes. If your reps reach the right people but stall on what to say, read the account research guide before adding more data.

Next step: if neither fits, compare the options by job in Clay alternatives and Apollo alternatives.