Apollo vs Lusha 2026: Which One Actually Fits Your Team?

The verdict, before the details

Pick Apollo if you need one platform for finding contacts, building sequences, and sending outbound at volume, and you're willing to run exports through a verifier before you send. Pick Lusha if your motion is LinkedIn-led, one contact at a time, and you want a fast reveal without building a list inside a bigger platform.

Apollo's free plan grants roughly 900 credits a year (about 75/month), with paid tiers from Basic at ~$49 to Organization at ~$119 per user/month on annual billing (Landbase, 2026). Lusha's free plan sits around 40 credits a month, with Pro starting near $69.90/user/month annual (temporary promotions have shown $45.45) and Premium near $399.90/month (Zeliq, 2026). Neither claimed accuracy number survives contact with a real send list intact, and that gap is most of what this comparison is actually about.

Apollo vs Lusha: a comparison between Apollo, a combined contact database and outbound sequencing platform built for volume, and Lusha, a LinkedIn-first contact reveal tool built for speed on individual lookups, evaluated on pricing, accuracy, and contract structure.

Apollo vs Lusha at a glance

Sources for the table figures: Landbase, 2026; Zeliq, 2026; Prospeo, 2026; MarketBetter, 2026. Checked August 2026.

Apollo: pros and cons

Apollo's real strength is breadth. A database of 270M+ contacts, built-in sequencing, and a free tier generous enough to test coverage before paying make it a reasonable default for teams that want one tool to find and reach prospects. It's also actually useful for list-building at scale in a way Lusha, as a reveal-focused extension, isn't designed for.

The tradeoff shows up in accuracy. Apollo advertises around 91% email accuracy, but independent practitioner testing and aggregated review data put real-world accuracy closer to 65 to 80%, with some raw exports showing bounce rates as high as 32 to 38% (Prospeo, 2026). That's not a reason to avoid Apollo. It's a reason to never send an Apollo export straight to a cold campaign without running it through a separate verifier first. Our full Apollo.io accuracy breakdown and Apollo.io review cover this in more depth, and the Apollo competitors roundup is worth a look if breadth isn't your top priority.

Lusha: pros and cons

Lusha's real strength is speed on a single lookup. The LinkedIn-first extension workflow means a rep can reveal a contact without leaving the profile they're already looking at, which fits a motion built around individual research rather than bulk list-building. For AEs doing account research one prospect at a time, that's a genuine time savings Apollo's database-first interface doesn't replicate as cleanly.

The credit model is where it gets tighter. Free-tier credit counts have been reported anywhere from 5 to 70 a month depending on the source and date checked, which makes budgeting around the free plan unreliable (Amplemarket, 2026). On accuracy, Lusha advertises around 98% for email, but a March 2026 sample test found Lusha returned an email for only 31% of lookups on 300 mid-market contacts, with deliverable accuracy on the emails it did return sitting around 60 to 70% (MarketBetter, 2026). Read our full Lusha review and the dedicated is Lusha accurate breakdown before trusting the 98% figure on your own list. Our Lusha pricing guide covers the per-seat cost trap in more detail.

The Breadth vs Precision Line

Apollo and Lusha aren't really competing head to head, they're optimized for opposite ends of the same problem. We call this the Breadth vs Precision Line: on one end sits maximum coverage, more contacts, more filters, more channels in one platform, and on the other end sits a narrower, faster, more targeted reveal on exactly the person you're already looking at. Apollo sits closer to the breadth end. Lusha sits closer to the precision end. Neither position is wrong, but picking the tool built for the opposite end of your actual workflow is where teams waste budget.

The quotable version: breadth finds you more contacts, precision finds you the right one faster, and no tool does both equally well.

Where InboundLabs fits, and where it doesn't

InboundLabs sits closer to the breadth end of the line than Lusha, with a database of 280M verified B2B contacts filterable by industry, headcount, region, and title, but it competes on verification rather than raw size. Verified direct dials instead of switchboard numbers, buyer intent signals layered on firmographic data by default rather than as a paid module, and 98% email deliverability on verified contacts, all on monthly plans with no annual lock-in. See how InboundLabs finds verified contacts instantly → inboundlabs.app

Here's the honest tradeoff: if your team is already deep into Apollo's sequencing engine or Lusha's LinkedIn extension workflow and happy with the accuracy you're getting after verification, switching tools has a real onboarding cost that may not be worth paying. InboundLabs also doesn't have the years of market presence Apollo and Lusha have, so if your buying process weighs vendor longevity heavily, that's a legitimate reason to wait and watch rather than switch today. We'd rather say that plainly than pretend every team should move immediately.

Who should pick Apollo

Teams running high-volume outbound who need contact discovery and sequencing in one login, and who have the discipline (or a separate verifier) to clean exports before sending, get the most value from Apollo. Its free tier is also the most generous starting point of the two for testing database coverage in your specific niche before committing budget. Compare it directly against ZoomInfo vs Apollo if you're weighing a bigger step up instead, or against Apollo vs Cognism and Apollo vs Hunter.io if precision on a smaller list matters more than raw volume.

Who should pick Lusha

AEs and researchers doing account-based, one-contact-at-a-time lookups directly from LinkedIn profiles get more day-to-day value from Lusha's extension than from switching between tabs in a database platform. If your outbound motion is closer to "I found this person on LinkedIn, get me their number" than "build me a list of 500 VPs of Engineering," Lusha's workflow fits that better. See our Lusha alternatives roundup if the credit unpredictability is the dealbreaker, or the direct Lusha vs Cognism and Lusha vs Kaspr comparisons if phone-number precision is your top priority.

How to actually decide, in one afternoon

Pull 25 real contacts from your current target list through both free plans, then check how many emails land instead of bounce, before you compare a single feature. Feature lists and accuracy percentages are marketing copy until you test them against the exact titles and industries you sell into. A 91% claim means nothing if your ICP happens to sit in the 20% Apollo's database covers thinly.

Budget an afternoon, not a week, for this test. Pull the same 25 names through Apollo's free credits and Lusha's free credits, load both lists into whatever verification step you already use, and count deliverable emails side by side. Whichever tool returns more usable contacts on your actual list, not a generic benchmark, is the one worth paying for.

Wrap-up

Apollo and Lusha solve different problems well and the same problem, exported-list accuracy, imperfectly. If you need volume and sequencing, Apollo's breadth wins. If you need speed on a single, already-identified prospect, Lusha's precision wins. Either way, verify before you send, because both platforms' advertised accuracy numbers run well ahead of what independent testing shows. If you'd rather start with verification built in rather than bolted on afterward, InboundLabs starts free with no credit card required.

Frequently Asked Questions

Is Apollo or Lusha more accurate?

Neither claimed accuracy figure holds up fully under independent testing. Apollo's advertised 91% drops to 65 to 80% in practitioner tests, and Lusha's advertised 98% drops to roughly 60 to 70% deliverable accuracy in a 2026 sample test. Verify any exported list before sending regardless of which tool you use.

Which is cheaper, Apollo or Lusha?

Apollo's entry paid tier runs around $49/user/month annual versus Lusha's Pro tier around $69.90/user/month annual (with promotional pricing sometimes seen near $45.45). At the free tier, Apollo's roughly 75 monthly credits generally outpace Lusha's reported 40, though Lusha's exact free allotment has varied across recent updates.

Can I use Apollo and Lusha together?

Yes, and some teams do, using Apollo for bulk list-building and Lusha's extension for one-off lookups during account research or live calls. The overlap in database coverage means you're paying for two subscriptions with some redundancy, so weigh that against the workflow speed you gain.

Does Apollo or Lusha have better phone number coverage?

Both offer phone numbers, but Apollo charges more credits per phone export (5 credits versus 1 for an email), while Lusha treats phone reveal as a core part of its product rather than a premium add-on. Neither publishes independently verified phone accuracy figures.

Is there a free way to test both before committing?

Yes. Apollo's free plan gives roughly 75 monthly credits with no credit card required, and Lusha's free plan (reported around 40 credits monthly, though inconsistently) also requires no card. Testing both on the same 20 to 30 contacts before choosing is the fastest way to see which fits your list.

What's the biggest hidden cost with either tool?

For Apollo, it's the credit cost of phone number exports and the need for a separate verification pass before sending. For Lusha, it's the unpredictable free-tier credit count and the per-seat pricing once you add reps beyond the first.

Should I switch from Apollo or Lusha to InboundLabs?

Only if the accuracy gap or contract terms are actively costing you deals or budget approval. InboundLabs offers monthly plans with no annual lock-in and verified direct dials, but Apollo and Lusha both have longer market track records, which matters if vendor stability is a hard requirement for your team.

LSI keywords: Apollo vs Lusha, B2B contact database comparison, verified direct dials, email deliverability accuracy, sales intelligence platform pricing, LinkedIn contact finder, Apollo pricing 2026, Lusha pricing 2026, contact data accuracy, cold outreach list verification

Sources

• Apollo Pricing 2026: Plans, Costs, and What You Pay | Landbase (checked August 2026)
• Lusha pricing 2026: plans, credits, rollover, total cost of ownership | Zeliq (checked August 2026)
• How much does Lusha really cost in 2026? | Amplemarket (checked August 2026)
• Apollo.io Accuracy: Real Data vs. 91% Claims (2026) | Prospeo (checked August 2026)
• Lusha Review 2026: Real User Feedback on Data Quality | MarketBetter (checked August 2026)