Apollo.io pricing plans vs. top 10 alternatives: which is more accurate in 2026?

The best Apollo.io alternative for outbound teams that need accuracy without a credit ceiling is SalesIntel, a B2B contact and company data platform running 95 percent human-verified accuracy against Apollo’s real-world rate of 65 to 80 percent as of July 2026 (per Cleanlist’s 2026 accuracy test and G2 user reports), well below the roughly 91 percent figure Modern Inbound’s July 2026 teardown reports Apollo marketing. Apollo.io itself costs $49 to $119 a user per month depending on plan, with credits that expire monthly and don’t roll over.

Quick answer: Apollo.io’s four plans (Free, Basic at $49/user/month, Professional at $79/user/month, Organization at $119/user/month minimum 3 seats) all cap you on monthly credits that expire and don’t roll over, per Apollo’s own pricing page (as of July 2026). Independent tests and G2 reviews put Apollo’s real-world contact accuracy at 65 to 80 percent as of July 2026, and a team sending 200+ contacts a day can burn through the Basic plan’s 1,000 monthly credits in under 10 days. The strongest alternative for outbound teams that need accuracy and no credit ceiling is SalesIntel, which uses 95 percent human-verified contacts on an unlimited-credit model. ZoomInfo, Cognism, and Lusha each fit a narrower case depending on budget, region, and how phone-heavy your outbound motion is.

Key takeaways

• Apollo’s credit system, not its sticker price, is the real cost driver: overages and forced “waterfall” unlocks push real spend well past the listed plan price.
• Real-world accuracy (65-80 percent as of July 2026, per Cleanlist and G2) trails the roughly 91 percent figure Apollo markets, per Modern Inbound’s third-party teardown, by a wide margin.
• SalesIntel is the only alternative on this list with both a 95 percent human-verified accuracy claim and no per-contact credit cap.
• ZoomInfo has the largest raw database; Cognism leads on EMEA phone-verified data; LeadIQ and Lusha are the budget picks, Seamless.AI is priced closer to the middle of the pack.
• LinkedIn removed Apollo.io from its platform in March 2025 over alleged Chrome-extension scraping violations, a compliance angle to factor into a vendor decision.

What Apollo.io is, and why teams go looking for alternatives

Apollo.io built its reputation on being the cheap, fast way to fill a pipeline: a contact database bolted onto outbound sequencing tools, priced by the seat and rationed by the credit. That rationing, and what the “verified” label holds up to, is where most teams start looking for a way out.

Apollo.io’s pricing and credit system, explained

Apollo prices by seat and by credit, and the credits are the part that determines your real cost. Apollo’s own pricing page lists Free, Basic ($49/user/month, 1,000 credits/month), Professional ($79/user/month, 4,000 credits/month), and Organization ($119/user/month, 3-seat minimum, 6,000 credits/month), as of July 2026. Apollo’s free-tier credit allowance has changed more than once and third-party trackers disagree on the current number, but the tier includes unlimited email sending under fair use, and I count that as one of the more generous entry points in the category. Credits don’t roll over, though, and a team running 200-contact-a-day sequences burns through Basic’s monthly allocation in under 10 days, then either stops prospecting or pays overage fees. One G2 reviewer, Eric N., specifically praised “the fact that it gives you emails for free“, and that allowance is real. One unusual design choice: a phone reveal costs the same single credit as an email reveal, so a calling-heavy team burns through its allowance at the same rate as an email-only one, no phone-specific premium.

The data accuracy problem

Apollo markets accuracy figures around 91 percent, per Modern Inbound’s July 2026 teardown, but the numbers that show up in independent testing tell a different story. G2 reviewer Shawn S. put it plainly in a G2 review: Apollo’s data “seems around 65% accurate.” Cleanlist’s 2026 accuracy test lands in the same 65 to 80 percent range as the G2 reports, as of July 2026. Apollo’s Chrome extension and CRM integrations, separately from the data quality question, are still easy to set up, a real strength unrelated to anything above. Apollo’s automated enrichment also refreshes faster than any manual process can, an advantage if raw coverage matters more to you than precision. None of this means Apollo is unusable. It means the “verified” label on a contact record is doing less work than the word suggests, on a database that, per Toolchase’s Apollo teardown, runs 275M+ contacts deep, more records than most alternatives on this list, and more room for the accuracy gap to hide in.

Apollo.io alternatives comparison table

The table below compares Apollo against all 10 alternatives on price, database size, verification model, and phone data, side by side. I pulled every price and credit figure straight from each vendor’s current pricing page rather than trust a screenshot someone else took months ago (verified July 2026); vendors change these numbers more often than most comparison posts bother to check.

Apollo’s raw database size and low entry price make it a reasonable starting point for a small team, but the accuracy gap and credit ceiling are why teams outgrow it, not a reason to dismiss it outright.

Top 10 Apollo.io alternatives, ranked

Every entry below gets the same treatment: what it does well, where it falls short, and current pricing, in that order, starting with the pick built specifically to fix Apollo’s accuracy gap and credit-cap problem.

1. SalesIntel, best for accuracy without a credit ceiling

SalesIntel is built for teams that hit Apollo’s accuracy or credit ceiling and need both fixed in the same move. It runs 95 percent accuracy on human-verified contacts, backed by 250 full-time researchers plus a 2,000-plus on-demand network, with no per-contact credit cap.

Main features:

• Unlimited-credit access model, no per-seat credit rationing
• 200M+ contacts across 30M+ companies, re-verified on a 90-day cycle
• 54M+ human-verified mobile numbers for direct-dial outbound
• Signal-based buying-intent tracking layered on top of the contact data

Limitations: the feature set (signal tracking, agentic workflows, ICP modeling) has a learning curve. Teams that want only a bare contact list will find the platform deeper than they need at first.

Pricing: unlimited-credit plans, see SalesIntel’s pricing page for current tiers.

2. ZoomInfo, best for the largest raw database

ZoomInfo has the largest raw contact database in this category and a broad integration ecosystem, real strengths if scale is the priority. It’s also the most expensive option here, with enterprise-oriented, quote-based pricing that typically runs well above SalesIntel’s entry point. (I still don’t love that “quote-based” is the answer to “how much does this cost,” but at this database size, apparently nobody does list prices.)

Main features: the largest database by contact count in this list, plus deep Salesforce and HubSpot integrations and conversation-intelligence add-ons for teams that want call data layered in.

Limitations: enterprise pricing and annual contracts price out smaller teams.

Pricing: quote-based, enterprise-oriented.

3. Cognism, best for EMEA and international prospecting

Cognism’s phone-verification process gives it a real edge for EMEA and international prospecting, an area where Apollo’s coverage is thinner. If most of your pipeline is US-only, this advantage matters less.

Main features: phone-verified mobile data and strong EMEA/APAC coverage, backed by GDPR-focused compliance tooling.

Limitations: quote-based pricing means no self-serve entry point; database size trails ZoomInfo and Apollo.

Pricing: quote-based.

4. Seamless.AI, best for live web search over a static database

Seamless.AI searches the live web instead of relying on a static database, which can surface contacts a static database misses. Real-world accuracy on G2 lands in a similar 65-75 percent range to Apollo’s (as of July 2026), so it solves the coverage problem more than the accuracy one. (Different failure mode, same outcome: you still end up double-checking numbers before you dial.)

Main features: real-time web search for contacts via a Chrome extension that integrates with the major CRMs.

Limitations: accuracy is inconsistent by the same real-time nature that gives it broader coverage; pricing runs high for the accuracy delivered.

Pricing: from roughly $147/month, billed annually.

5. Clearbit (Breeze Intelligence), best for enriching contacts you already have

Clearbit, folded into HubSpot as Breeze Intelligence, isn’t trying to be an Apollo replacement. It enriches contacts you already have rather than finding new ones, which makes it a strong fit if your gap is data hygiene, not lead volume, and a poor one if you’re starting a prospecting list from zero. (I almost left this one off the list for that reason, then kept it in because “which alternative” questions usually assume a like-for-like swap, and this is the one option here that explicitly isn’t that.)

Main features: API-based enrichment that’s HubSpot-native, layering in firmographic and technographic data on top of contacts you already have.

Limitations: not a standalone prospecting database; best paired with an existing data source rather than used alone.

Pricing: from roughly $45/month on top of a required HubSpot Starter subscription.

6. LeadIQ, best for reps who prospect straight from LinkedIn

LeadIQ lives in the Chrome extension, capturing contacts straight off a LinkedIn profile as you browse it, which is exactly the right tool if that’s how your reps prospect. Step outside that workflow and the standalone database thins out fast compared to Apollo’s.

Main features: LinkedIn-native capture that syncs to Salesforce, Outreach, or Salesloft, with email verification built into the capture step.

Limitations: less useful for teams that don’t prospect primarily through LinkedIn; smaller standalone database.

Pricing: from roughly $39-$79/month, rising with credit volume and AI-assist usage.

7. Lead411, best for bundled intent data

Lead411 bundles intent data into its core contact plans instead of charging for it separately. That bundling, not the contact data itself, is the actual reason to consider it over Apollo. The underlying contact data is a human-reviewed and automated blend, not a pure database play.

Main features: intent data and direct-dial phone numbers included in the base plan, with an optional Bombora integration.

Limitations: database size is mid-tier compared to Apollo and ZoomInfo; UI feels dated to some reviewers.

Pricing: from roughly $99/user/month, billed annually; Pro and Enterprise tiers with Bombora intent are quote-based. (This is the one price on this list I’d double-check right before you buy, pricing pages in this category change fast, and Lead411’s moved more than most while I was researching this post.)

8. UpLead, best for email deliverability

UpLead verifies emails in real time at the point of export, a direct answer to Apollo’s bounce-rate complaints. It’s priced at a premium for that guarantee.

Main features: real-time email verification, plus G2-rating and price-comparison transparency published on its own site.

Limitations: credit-based model shares some of the same ceiling issues as Apollo, though with a higher accuracy floor.

Pricing: from roughly $74-$149/month, billed annually.

9. Lusha, best for budget-conscious SMB teams

Lusha is a budget-friendly pick on this list, with a usable free tier, though LeadIQ’s Essential tier now undercuts it on price. Depth and accuracy both trail the higher-priced options.

Main features: a usable free tier and a Chrome extension, on top of a simple per-contact credit model.

Limitations: smaller database than Apollo; pricing rose in 2026, so it no longer anchors the bottom of this list on cost alone.

Pricing: $49.90 to $399.90/month across Starter, Pro, and Premium, billed annually.

10. Slintel/6sense, best for teams that already have a data provider and want intent signals

Slintel, absorbed into 6sense, doesn’t compete with Apollo directly. It’s an intent-data layer, not a contact database, and it only makes sense once you already have a provider for the contacts themselves and specifically need buying-signal data on top.

Main features: intent signals paired with technographic data, feeding into account-scoring.

Limitations: not a replacement for a contact database; requires pairing with another tool for actual outbound.

Pricing: quote-based.

Apollo.io vs. the alternatives on data accuracy

Apollo’s real-world contact accuracy runs 65 to 80 percent (as of July 2026, per G2 and Cleanlist) against SalesIntel’s 95 percent, a gap independent third-party testing confirms rather than either vendor’s own marketing.

As of July 2026, independent testing (Cleanlist’s 2026 accuracy audit) and G2 user reports put Apollo.io’s real-world contact accuracy at 65 to 80 percent, against the roughly 91 percent Apollo markets per Modern Inbound’s teardown, a gap that recurs consistently across multiple third-party Apollo teardowns rather than coming from a single source. SalesIntel’s comparable figure is 95 percent accuracy on human-verified contacts, backed by a 90-day re-verification cycle rather than a one-time scrape. Apollo’s automated model does have one edge here: it’s faster to stand up than a request-based verification queue, useful if speed to first contact outranks precision for your team. On direct-dial phone data specifically, independent estimates put Apollo’s accuracy at 50 to 70 percent, as of July 2026, with many “direct” numbers reportedly routing to a company’s main switchboard instead of the named contact, per G2 and Capterra reviews. Apollo’s raw phone-number volume across North America is still broader than most lighter-weight competitors, even where per-number accuracy trails. SalesIntel’s direct-dial claim rests on 54M+ human-verified mobile numbers rather than an automated match.

How to choose the right Apollo.io alternative for your team

If accuracy and credit ceilings are both blockers, SalesIntel is the direct answer: human-verified data with no per-contact cap. An EMEA-heavy pipeline points to Cognism instead, whose phone-verification focus justifies the quote-based pricing. When budget is the only constraint and you can tolerate lower accuracy, LeadIQ’s Essential tier is currently the cheapest functioning option on this list, with Lusha close behind. And if you already pay for a data provider and only need intent signals layered on top, Slintel/6sense or Lead411’s bundled intent data fit better than a full switch. (My honest bias, having gone through all ten of these: most teams asking “what’s the best Apollo alternative” are underneath asking “why is my data wrong,” and that’s an accuracy question first, a pricing question second.)

Apollo.io pricing plans in full

Apollo’s four tiers, verified against Apollo’s own pricing page as of July 2026: Free (unlimited email under fair use, limited mobile and export credits; the exact monthly allowance has shifted more than once and third-party trackers disagree on the current figure), Basic at $49/user/month billed annually (1,000 credits/month), Professional at $79/user/month (4,000 credits/month), and Organization at $119/user/month with a 3-seat minimum (6,000 credits/month). For a team that needs only a small, steady volume of contacts, the sticker price is the price, credit overages only bite once usage climbs. Credits reset monthly and do not roll over, and unusually, a phone reveal costs the same single credit as an email reveal, no phone-specific premium the way most competitors charge one. Apollo does publish all of this plainly on its own pricing page, a transparency several of the quote-based competitors on this list don’t offer, and the main reason I could write this section without a single “contact sales” link. Real-world spend still commonly runs $150-$400/user/month once overages and add-ons are factored in, as of July 2026, according to Salesmotion’s Apollo pricing breakdown.

LinkedIn removed Apollo.io from its platform in March 2025 following alleged Chrome-extension scraping violations, alongside three other vendors, per reporting from martech.org; Apollo stated at the time it was “actively working with LinkedIn to understand the nature of our brand page restriction,” and it has continued operating and adding customers since. This is worth knowing if vendor compliance history factors into your evaluation. For a fuller look at how RevDriver’s Chrome extension compares, see SalesIntel’s integration page.

Frequently asked questions

Is Apollo.io’s contact data accurate, or is the marketed figure inflated?

Independent testing (Cleanlist’s 2026 accuracy audit) and G2 user reports put Apollo’s real-world accuracy at 65 to 80 percent as of July 2026, well below the roughly 91 percent figure Modern Inbound’s teardown reports Apollo marketing. That gap is why many teams pair Apollo with a verification layer or switch to a human-verified provider.

Why do Apollo.io credits run out so fast, and do unused credits roll over?

Credits reset each billing cycle and do not roll over, per Apollo’s own pricing page. A team sending 200-plus contacts a day can burn through the Basic plan’s 1,000 monthly credits in under 10 days.

Does Apollo.io have direct dial and mobile phone numbers, and how accurate are they?

Apollo offers phone data, but independent estimates put direct-dial accuracy at 50 to 70 percent as of July 2026, and G2/Capterra reviewers report numbers that route to a company’s main switchboard rather than the named contact.

What’s the best Apollo.io alternative for international or EMEA prospecting?

Cognism is the strongest fit for EMEA-heavy outbound, built around phone-verified mobile data for international contacts, though its pricing is quote-based rather than self-serve.

What is the cheapest Apollo.io alternative for a small sales team?

As of July 2026, LeadIQ’s Essential tier is the cheapest paid entry point on this list at roughly $39/month billed annually, with Lusha’s Starter tier close behind at $49.90/month. Database depth and accuracy on both trail the higher-priced options.

How does Apollo.io’s real-world accuracy compare to SalesIntel’s?

Independent sources put Apollo’s real-world accuracy at 65 to 80 percent as of July 2026 (per Cleanlist and G2), while SalesIntel reports 95 percent accuracy on human-verified contacts with a 90-day re-verification cycle. The difference comes down to verification method: Apollo relies on automated waterfall enrichment, SalesIntel uses a 250-person research team plus a 2,000-plus on-demand network.

Author bio: TJ Kim leads growth and AI-search visibility at SalesIntel, where he ran the company’s 2026 SEO and AI-search visibility audit across 79 identified fixes. He writes about B2B data accuracy, AI search citation, and outbound tooling.