Apollo.io vs Exa
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Editorial assessmentExa compared with Apollo.io
Apollo is a complete sales platform with a large searchable database, a sequencer, and a usable free tier, and for a conventional filter-based list build it will be faster and cheaper than Exa every time. Exa is not a competitor to it so much as a complement, handling the target definitions Apollo's filters cannot express. Most small teams should own Apollo or an equivalent and reach for Exa when a list proves impossible to describe with dropdowns.
Choose Apollo.io if
Startups and SMB sales teams that want the largest self-serve contact database and outreach execution in one affordable product.
Choose Exa if
Technical teams and operators building list discovery or research into their own workflow, anyone whose prospecting question is a description rather than a filter, and buyers who want commodity pay-as-you-go pricing with no subscription and no expiring credits.
Side by side
13 attributes| Attribute | Apollo.io | Exa |
|---|---|---|
| Category | Data | Data |
| Starting price | Free plan; paid from $49/user/mo (free plan available) | $0 ($20 in free credits on signup plus $10 monthly), then $7 per 1,000 searches (free plan available) |
| Pricing model | Freemium with per-user monthly tiers; credits meter email reveals (generous) and phone/export credits (tighter). Self-serve through Organization tier; custom above. | Pure pay-as-you-go usage pricing with every operation individually published, no subscription, no minimum spend, no tiers, and no expiring credits. |
| Free plan | Free forever: limited credits, 2 sequences, basic filters. | An additional $10 in credits every month on top of the signup grant, which makes genuinely light usage permanently free. |
| Free trial | 14 days (of paid features) | $20 in free credits on account creation, roughly 2,800 searches, with no card required to start |
| Best for | Startups and SMB sales teams that want the largest self-serve contact database and outreach execution in one affordable product. | Technical teams and operators building list discovery or research into their own workflow, anyone whose prospecting question is a description rather than a filter, and buyers who want commodity pay-as-you-go pricing with no subscription and no expiring credits. |
| Setup time | Minutes to first list on free tier; a week to wire CRM enrichment rules and team sequences properly. | Twenty minutes to a first useful result: create an account, take the 20 dollars of free credit, and call search from Python or JavaScript. A production Websets pipeline with verification rules and custom enrichments is a few days of work rather than an afternoon. |
| Learning curve | Low for prospecting; moderate for admin surface (credit policies, enrichment rules, plays). | Moderate to high by this category's standards, and the difficulty is conceptual rather than technical. Writing a good described query and a good verification rule is a skill, and a badly specified set returns plausible-looking results that quietly fail your criteria. Teams used to filter dropdowns will need to change how they think about list building. |
| Platforms | Web app, Chrome extension, iOS app, REST API | REST API, Python and JavaScript clients, Web dashboard, Webhooks |
| Compliance | SOC 2 Type II, GDPR program, CCPA | Zero Data Retention available through enterprise arrangements |
| Founded | 2015 | 2021 |
| Headquarters | San Francisco, California, US | San Francisco, California, United States |
| Ownership | Venture-backed (private) | Venture-backed, operating as Exa Labs Inc. |
Strengths and limitations
Apollo.io
Strengths
- Unmatched self-serve coverage-per-dollar; the price floor of the entire category.
- Data + engagement in one product removes the export/import loop entirely.
- Free tier and transparent pricing make evaluation frictionless.
- Enrichment/dedupe layer quietly excellent for CRM hygiene.
Limitations
- Direct-dial accuracy trails phone specialists (Lusha, Cognism) in many segments.
- Engagement layer lacks enterprise governance, CI depth, and forecasting.
- Credit mechanics (phone/export) complicate the headline pricing.
- EU data compliance posture is workable but not the selling point Cognism makes it.
Exa
Strengths
- The only product in this category that answers a described query rather than a filtered one, which makes previously unbuildable target lists buildable.
- Verification runs before enrichment in Websets, so contact spend lands only on results that already passed your criteria.
- Pure pay-as-you-go with no subscription, no minimum spend, no tiers, and nothing to expire, which is the cleanest commercial model in this batch.
- Every operation individually priced and published, from 1 dollar per thousand page fetches to 0.07 per phone number, so any workload can be modelled precisely before it is run.
Limitations
- Contact data is expensive per unit: 0.02 dollars an email is more than twice Tomba's rate, and 0.07 a phone is well above CUFinder's or SalesQL's effective rates.
- It is not a contact database, so there is no fixed people index to filter by title and seniority and no guarantee that a given person is findable at all.
- No match rate is published for either email or phone enrichment, and Exa does not state what happens when an enrichment itself returns nothing.
- Non-technical users will struggle; the dashboard exists but the product is designed to be called from code and the documentation is written for developers.
Pricing compared
Apollo.io
Freemium with per-user monthly tiers; credits meter email reveals (generous) and phone/export credits (tighter). Self-serve through Organization tier; custom above.
- Free$0
- Basic$49
- Professional$79
- Organization$119
Nothing matches Apollo's coverage-per-dollar; it reset the category's price floor and forced legacy vendors into defensive bundling. The honest caveats: dial accuracy trails specialists, and heavy exporters discover credits are the true price. As a first data stack or a waterfall's volume layer, it remains the obvious call.
Exa
Pure pay-as-you-go usage pricing with every operation individually published, no subscription, no minimum spend, no tiers, and no expiring credits.
- Free credits$0
- Search$7
- Contents and Answer$1 to $5
- Deep Search and Monitors$12 to $15
- Agent$0.012 to $1.00
- EnterpriseCustom
Compared as a contact data vendor, Exa is expensive: 1,000 emails costs 20 dollars against Tomba's 8.90, and 10,000 costs 200 against Tomba's 89. Phone numbers at 0.07 are 70 dollars per thousand and 700 per ten thousand, more than CUFinder's 299 for 10,000 mixed credits and well above SalesQL's 119 for 12,000. On that axis Exa loses to most of this batch. But that comparison misreads the product. What you are actually buying is the ability to find companies that no filter can describe, verify each one against your own criteria, and only then pay to enrich the survivors, with a research and monitoring layer on the same bill and no subscription underneath any of it. Nothing else in this category does that at any price. For a team whose bottleneck is knowing who to contact rather than how to reach them, 7 dollars per thousand searches with 10 dollars free every month is exceptional value. For a team that already has the list, it is simply the wrong tool.
Editorial verdict on each
Apollo.io
Category LeaderApollo is the gravitational center of self-serve B2B data: coverage that reset the market's price floor, fused to an engagement layer that genuinely eliminates the export loop for SMBs. Its honest weaknesses, dial accuracy, credit fine print, mid-depth engagement, haven't slowed the flywheel because nothing else offers this much stack per dollar. Start here; add specialists only where measurement says Apollo falls short.
Read the full Apollo.io profileExa
InnovationExa is the odd one out in this category and the most interesting thing in it. It does not sell a contact database, it sells the ability to ask the live web a question no filter can express, verify each answer against your own criteria, and attach an email or a phone number to the results that survive. Priced purely per operation with 10 dollars free every month, no subscription, and nothing that expires, it is the most transparent commercial model here by a distance, and a Series C at a 2.2 billion valuation means the API will still be there in three years. The honest caveats are that contact data costs more than twice Tomba's rate, there is no published match rate, the compliance documentation is written for a search company rather than a data vendor, and a non-technical salesperson will not enjoy using it. Buy Exa when the problem is deciding who to contact. Buy something cheaper when the problem is only how to reach them, and consider running both, which is what the teams getting the most out of it actually do.
Read the full Exa profileApollo.io profile last reviewed 2026-08-22; Exa last reviewed 2026-08-22. Pricing is compiled from public sources and can change without notice. See our methodology.