ZoomInfo competitors, sorted by why you are leaving
Nobody leaves ZoomInfo because the data is bad. They leave because the contract is annual, the price is a secret and the credits run out faster than the plan suggests. 4 replacements below, each one matched to a specific reason rather than ranked on a score nobody can audit.
Prices and limits for every option below are read off the vendor's own page. These are the ZoomInfo alternatives that answer a named problem, not a field of logos.
The 3 reasons people actually leave
If none of these is your situation, the honest answer is that you should probably stay, and the ZoomInfo API review covers what you already have. The 26 providers these replacements are drawn from are in the Enrichment APIs listing.
1 · A credit is not a fixed unit, and the allowance is annual
ZoomInfo states that credit consumption varies with the depth of the record: basic firmographics cost less than org charts and intent. So a 75,000-credit package is not 75,000 records, and how far it goes depends on which fields your integration requests. Teams size the package against a forecast made a year in advance and find out in month eight.
2 · There is no price anywhere, at any tier
Packages quote an allowance and never a cost. The sales plans now carry a free trial, so the data can be tested, but the price still only arrives through a sales process, and that makes a renewal negotiation very hard to win without a competing quote you had to run a separate evaluation to obtain.
3 · North American depth, and a European list it cannot serve
ZoomInfo is strongest on North American mid-market and enterprise, which is the reason it costs what it costs. On an EU-heavy list the match rate drops far enough that the cost per contact found stops resembling the cost per credit, and practitioners who run several vendors describe buying Cognism specifically to cover that half.
4 replacements, and what each one fixes
Ordered by how often they turn out to be the right answer, not by price.
| Provider | Entry price | Unit cost | Free tier | Fixes |
|---|---|---|---|---|
| ZoomInfo | Quote only | Not by the unit | No free tier. A free trial on the three sales plans; the marketing plans start with a demo. | Baseline |
| Apollo API | $49/seat/mo | $0.0196 per credit | Free plan with API access, 900 credits per seat per year granted monthly, so 75 a month | Best all-in-one GTM API |
| Cognism | Quote only | Not by the unit | No free tier and no published price. Both plans include 5 seats. | Best for notified, DNC-screened contact data |
| People Data Labs | $98/mo | $0.28 per record | Free plan, up to 100 credits per month with contact data obfuscated | Best for building on top of |
| Lusha | $37.45/mo annual | $0.087 per credit | Free plan, 40 credits a month, 1 seat, no card. API is rate limited strictly. | Best published credit costs for contact data |
Read from each vendor's own pricing page between 8 and 19 October 2026.
The case for each one
Each one below is matched to a reason rather than scored, and each one names what you give up by taking it. A replacement with no downside is a replacement nobody has actually run.
Apollo API
A published price, a free plan and the whole motion behind one key. $0.0196 a credit against a package nobody will quote you in public.
Apollo is the direct answer to the pricing objection and the only one of these picks with a rate card you can read before talking to anybody. Basic is $49 a seat a month billed annually and carries 30,000 credits a seat a year, which is 2,500 a month at $0.0196 each. There is also a free plan with real API access at 900 credits a seat a year, which is what makes a match-rate test cost nothing.
The metering is the part that matters against ZoomInfo rather than the headline. Apollo spends a credit when it returns a result and nothing when it does not, and its people search costs nothing at all, so filtering hard before enriching is free to iterate on. ZoomInfo consumes a credit on every profile exported whether the fields you wanted were populated or not.
It is also one of the few providers in this directory covering sourcing, enrichment and sending behind one credential, with an MCP server at mcp.apollo.io/mcp. ZoomInfo now publishes one too, through the Claude, ChatGPT and Perplexity connector directories, so this is no longer a reason to leave.
What you give up
Depth on the North American enterprise rows, intent data and org charts. Apollo sells its own database, so where that database is thin there is no second provider behind it, and it returns no intent signals at all. If ZoomInfo was bought for the org chart on a 5,000-person account, Apollo does not have it.
When it is the wrong answer
An EU-heavy list, and any team whose reason for ZoomInfo was depth rather than breadth. Run 500 of your own rows through Apollo's free plan and compare the match rate against what ZoomInfo returns today before moving anything, because that number is the whole decision and nobody else can give it to you.
Entry $49/seat/mo. Free plan with API access, 900 credits per seat per year granted monthly, so 75 a month. One of the few providers here that covers sourcing, enrichment and sending behind a single key, which is why it is usually the first API a GTM team wires up and the last one they rip out. Read the review · ZoomInfo vs Apollo
Cognism
The like-for-like on coverage, and the only vendor here selling a compliance posture rather than a dataset. It will not publish a price either.
Cognism is the one pick on this page that competes with ZoomInfo on its own terms, and practitioners who run both describe the split as regional: ZoomInfo for North American mid-market and enterprise, Cognism for EMEA and mobile numbers. If the reason to leave is that half your list is European, this is the replacement rather than a cheaper substitute.
What it sells beyond the data is a position nobody else here holds. Cognism notifies the business contacts it stores inside GDPR timeframes and screens its phone data against 15 Do Not Call and TPS registers, with ISO 27001, ISO 27701 and SOC 2 Type II behind it. ZoomInfo carries a GDPR DPA and CCPA, which is the baseline. That difference only ever matters in one direction: the day somebody outside your team asks.
It also ships an MCP server at mcp.cognism.com/mcp with OAuth 2.0 client credentials, and publishes 500 requests a minute per operation. Three meters run at once though: search tokens count the rows a query returns, credits count the contacts you reveal, and the one that stops a backfill is usually tokens.
What you give up
The published price, because there is not one here either. Both plans include five seats whether or not five people exist, so a headless pipeline is buying a team license to get a key, and you will run a second sales process rather than escaping the first one.
When it is the wrong answer
A team whose complaint was the contract rather than the coverage. Swapping one quote-only annual vendor for another quote-only annual vendor fixes the data and leaves the procurement problem exactly where it was.
Entry Quote only. No free tier and no published price. Both plans include 5 seats.. Cognism sells a compliance posture as much as a dataset: it notifies the business contacts it holds within GDPR timeframes and scrubs its phone data against 15 Do Not Call and TPS registries. Read the review · ZoomInfo vs Cognism
People Data Labs
Terms written for putting enriched records inside a product you sell. Priced per record, and published.
This is a different purchase wearing a similar shape. People Data Labs sells a dataset and the license that comes with it, and it is the provider in this directory whose terms are written for you to put enriched records inside something you charge other people for. ZoomInfo's terms cover your own go-to-market, so the moment those rows appear in your product you are outside what you bought.
Self-Serve starts at $98 a month from 350 credits, which works out around $0.28 a record. That is fourteen times Apollo and it is a published number, which against ZoomInfo is itself the improvement. The free plan gives 100 credits a month with emails and phones obfuscated, enough to check the shape of the data and not enough to use it.
The API is built for warehouse loads rather than row-by-row enrichment: bulk and search endpoints, with rate limits reported in the response headers per key and per endpoint rather than published as a single figure. Design for a batch and read the headers.
What you give up
The go-to-market shape of the product entirely. There is no sourcing UI, no sequencer, no intent data and no MCP server, and at $0.28 a record nobody moves here to save money. You are buying a permission, and if you do not need it you are paying a large premium for it.
When it is the wrong answer
An outbound team enriching lists for its own reps. If the rows never leave your CRM you will never exercise the license you are paying for, and Apollo above is the better answer at a fraction of the rate.
Entry $98/mo. Free plan, up to 100 credits per month with contact data obfuscated. PDL sells the dataset rather than the workflow, and it is one of the few here whose license is written for you to redistribute enriched records inside a product you sell. Read the review
Lusha
Every operation has a stated credit cost and there is a free plan to measure on. The opposite of a quoted package in every respect.
Lusha is the clearest rate card in this half of the directory and it is on this page for exactly that reason. An email is 1 credit, a phone number is 5 and a recorded call is 8, at $0.087 a credit, so a direct dial is $0.435 and a quarter of enrichment can be forecast on paper. Against an allowance denominated in a unit that changes size depending on which fields you request, that is the entire argument.
The free plan is 40 credits a month on one seat with no card, and the API is included though strictly rate limited. Forty credits is enough to run a sample of your own rows and produce a match rate, which is the number that settles whether ZoomInfo is worth its quote, and it is the number neither vendor will hand you.
The per-credit cost is flat across every tier, from Starter at $37.45 a month billed yearly to Premium at $299.95. That is unusual and it cuts both ways: there is no penalty for being small and no volume discount to grow into, so above a few thousand lookups a month the arithmetic starts favoring something with a real curve.
What you give up
Coverage depth and the rate limits. Lusha meters per plan across minute, hour and day windows and publishes none of the numbers, so you can price the work exactly and cannot size the throughput at all. And at $0.435 a direct dial it is one of the more expensive mobiles here.
When it is the wrong answer
Phone-heavy motions at volume, and anyone whose reason for ZoomInfo was org charts, intent or job-change signals at enterprise depth. Lusha is a contact-data vendor with an honest price, not an intelligence platform.
Entry $37.45/mo annual. Free plan, 40 credits a month, 1 seat, no card. API is rate limited strictly.. Lusha publishes what every operation costs to the credit: an email is 1, a phone number is 5, a recorded call is 8. Read the review · ZoomInfo vs Lusha
What you would actually pay, on each one
3 of the 5 providers here publish a rate card. ZoomInfo and Cognism do not, and the entry price below is all they will tell you without a call. The plan you want is the one whose included volume covers a normal month for you, not the cheapest one on the page.
ZoomInfo
ZoomInfo publishes no price at all, so there is no rate card to put here. Everything is quoted, which means the number you get depends on what you ask for and on where in their quarter you ask it.
Get these in writing before you sign: the per-unit rate at your volume, the annual minimum, how many seats that price assumes, whether API access is included or an add-on. Without the first two you cannot compare this against anything else on this page.
Apollo API
Apollo API publishes 4 tiers, one of them free, and the paid ladder runs from $49 to $119.
Free
- Full API access, not a trial of it
- Granted monthly, so 75 credits a month in practice
- 2 sequences and basic filters
Basic
- US$588 a seat a year, credits granted upfront and pooled across the team
- 2,500 credits a month, at $0.0196 each
- Annual billing saves 24% against paying monthly
Professional
- 4,000 credits a month, at $0.0198 each
- AI lead scoring and multi-touch outreach
Organization
- 72,000 credits a seat a year, so 6,000 a month
- $0.0198 a credit, so the rate is flat across every paid tier
- The three-seat minimum makes US$357 a month the real floor
Cognism
Cognism publishes no price at all, so there is no rate card to put here. Everything is quoted, which means the number you get depends on what you ask for and on where in their quarter you ask it.
Get these in writing before you sign: the per-unit rate at your volume, the annual minimum, how many seats that price assumes, whether API access is included or an add-on. Without the first two you cannot compare this against anything else on this page.
People Data Labs
People Data Labs publishes 3 tiers, one of them free, and the paid ladder runs from From $98 to Custom.
Free
- Full access to the Person APIs for testing
- Contact data is obfuscated, so emails and phones are masked
- No commitment, sign up and go
Self-Serve
- Contact data included and unmasked
- Access to premium fields
- Monthly or annual subscription
- CSV enrichment and email support
Enterprise
- Custom volumes and annual contracts
- Access to all APIs, plus Data License Feeds
- Formal data testing before you commit
- Additional field bundles
Lusha
Lusha publishes 5 tiers, one of them free, and the paid ladder runs from $37.45 to Quote.
Free
- 40 credits a month, 1 seat
- No credit card required
- API access, but strictly rate limited
Starter
- 4,800 credits a year, granted up front
- 1 seat. Works out at $0.094 a credit
- API still strictly rate limited
Pro
- 7,200 credits a year, at $0.087 each
- 2 free seats, full API, webhooks, CSV enrichment
- Credits roll over to twice the monthly cap
Premium
- 40,800 credits a year, at $0.088 each
- 5 free seats, API Advanced, team management
- Credit allocation across the team
Scale
- Custom annual credit volume
- SSO and a dedicated customer success team
- No rollover: the cap does not apply
Read the included volume before the headline price. A plan that costs twice as much and carries five times the credits is the cheaper plan, and on this page that is the usual case rather than the exception.
What each one costs at your volume
ZoomInfo first, then every replacement. The model picks the cheapest published plan that covers your volume on each one, which is the comparison a row of entry prices cannot make.
ZoomInfo
Publishes no price, so there is nothing here to model and the lines below say what to ask for.
Apollo API
Priced on the volume you use, so the plan that covers a normal month is the one that decides the bill.
Cognism
Publishes no price, so there is nothing here to model and the lines below say what to ask for.
People Data Labs
Priced on the volume you use, so the plan that covers a normal month is the one that decides the bill.
Lusha
Priced on the volume you use, so the plan that covers a normal month is the one that decides the bill.
Plans are read from each vendor's own pricing page and the model picks the cheapest one that covers you, so these are list prices before any discount you negotiate and before annual billing, which most of these vendors discount. ZoomInfo and Cognism publish no price, so nothing is modeled there and the panel says what to ask for instead.
What a year costs at three volumes
The same plan-fit arithmetic as the model above, run out to a year, because an annual number is what a budget actually asks for. Every column moves with volume, because all of these meter usage rather than seats.
| A year at | ZoomInfo | Apollo API | Cognism | People Data Labs | Lusha |
|---|---|---|---|---|---|
| 1,000 a month | Quoted | $588 Basic | Quoted | Quoted | $3,599 Premium |
| 10,000 a month | Quoted | $2,352 Basic | Quoted | Quoted | Quoted |
| 50,000 a month | Quoted | $11,760 Basic | Quoted | Quoted | Quoted |
2 of the 5 providers here publish enough to be put in this table. These are list prices on the published plan that covers each volume, so they are the number before you negotiate and before annual billing, which most of these vendors discount by between a fifth and a half.
Which replacement is yours
Answer what matters most and the lean appears below. Every option is read from the records on this page, and staying on ZoomInfo is one of the possible answers.
Each answer leans one way. The recommendation appears here once you have picked at least two.
A tool like this can only weigh what is on the page. It does not know your segment, and the one test that does is the bake-off further down: real rows, cheapest entry on each side, spend divided by survivors.
Where an answer leans on a certification or an integration, it means that vendor publishes it on the pages this directory read, which is not the same as the other one lacking it. The sources are listed at the foot of the page.
Where the data comes from, and what you may do with it
The question that arrives late and expensively is not how good the data is, it is who is allowed to hold it. A migration is the moment to check it, because you are signing a new contract anyway.
| Provider | Fields returned | Coverage | Compliance | Redistribution |
|---|---|---|---|---|
| ZoomInfo | Work email, Mobile phone, Firmographics, Technographics, Intent and news, Job changes | Strongest in NA | GDPR DPA CCPA | Not stated |
| Apollo API | Work email, Mobile phone, Firmographics, Technographics, Job postings, Intent and news, LinkedIn profile, CRM records | Global | GDPR DPA SOC 2 Type II CCPA | Not stated |
| Cognism | Work email, Mobile phone, Firmographics, Technographics, Intent and news, Job postings, Job changes | Global | ISO 27001 ISO 27701 SOC 2 Type II GDPR notified data | Not stated |
| People Data Labs | Work email, Personal email, Mobile phone, Firmographics, LinkedIn profile | Global | GDPR DPA SOC 2 Type II CCPA | Not stated |
| Lusha | Work email, Mobile phone, Firmographics, Technographics, Intent and news, Job changes | Global | GDPR DPA CCPA | Not stated |
None of these states a redistribution position on its pricing or docs pages. Internally that never matters. Put the rows in something your customers can see and it becomes the question your legal team asks first.
Two practical notes that apply to every provider on this page. A compliance badge describes the vendor, not your use of it, so a GDPR DPA does not give you a lawful basis for the outreach you send. And every one of these vendors runs its own opt-out, which means a person who asks you to delete their record has to be removed from your copy as well as from theirs.
Moving off ZoomInfo
Written against Apollo API, the first pick above, because the steps are the same whichever one you take and the specifics are what make them useful. Swap the name and the order still holds.
Measure the thing you are about to lose
Run 500 rows you already have through ZoomInfo and record the match rate, the fields that came back populated and the cost. Without that number a migration cannot be judged, because every provider looks cheaper per unit than the one you are paying for today.
Check the fields, not the field count
Apollo API does not return Job changes, which ZoomInfo does. If anything downstream reads job changes, that is a change to your pipeline and not just to your vendor.
Rewrite the auth and the limits, in that order
ZoomInfo authenticates with API key or JWT, per the ZoomInfo API docs. Apollo API uses API key in the x-api-key header.
The limits are the part that bites later. ZoomInfo rate: Not published. Credit consumption is the practical ceiling.
Apollo API rate: 200 req/min, 2,000/day on Basic. Enrichment gets 1,000/min with no daily cap. A loop tuned to the first will either crawl or get throttled on the second.
Run both for one billing cycle
Keep the old key live and route a slice of real traffic to the new one. A month is the shortest honest test, because credit expiry, rollover and the overage rate only show up at renewal and those are where the surprises live.
Cancel on the renewal date, not before
Credits on most of these plans do not survive a downgrade. Check what happens to the balance you have already paid for, and time the switch so you are not buying the same records twice.
The step people skip is the first one, and it is the only one that cannot be done after the fact. Once the old key is off you have nothing to compare the new match rate against, so a provider that is quietly worse on your segment looks like a provider that is fine.
What practitioners say about Apollo
The one part of this page that is not a vendor claim. The comment below makes its point in crude words, so we summarize it in our own words and link the thread. A Reddit claim is a signal rather than a fact, so nothing here is the only source for a figure on this page.
The rate limit, not the credit price, is what people actually hit
In our words: A practitioner building on the API says the rate limits are what their team hit, that they got past them by routing requests across three Apollo accounts, and that Apollo charges per request even when a lookup returns nothing.
r/gtmengineering · May 2026 · summarized rather than quoted
Two halves worth separating. The limit is real and it is on this page: 200 requests a minute and 2,000 a day on Basic, with enrichment on a separate 1,000 a minute and no daily cap, which is why a bulk job and a per-row loop feel like different products.
The charge-on-no-output half needs care, because Apollo publishes 0 credits when nothing is found and that matches what we read. What a miss does spend is a request against the rate limit, and when the limit is the binding constraint that is the cost you feel. Pooling accounts to get round a published limit is a terms question before it is an engineering one.
11 threads read on 13 October 2026, searched by vendor name. Scores and dates are the comment's own. Nothing here is the only source for a price or a limit on this site: every figure in the tables above comes from a vendor's own page.
What practitioners say about Cognism
Transcribed as written and linked to the thread. A Reddit claim is a signal rather than a fact, so nothing here is the only source for any figure on this page.
The regional split is the real difference, and practitioners buy both
Each data tool only really excels at one or two things. ZI is solid for NA mid-market and enterprise, while Cognism crushes it in EMEA and cell numbers. Every time I need one, we run a trial. If you've got the budget, use 2-3 tools to cover more ground. Right now, I'm using Clay for data infrastructure, Cognism for EMEA, and ZoomInfo for the US. sometimes Cognism finds data that ZI can't-and vice versa.
r/SalesOperations · November 2024 · 5 points
The comparison pages here reach the same place from the rate cards rather than from experience: Cognism sells notified EMEA data and mobile coverage, ZoomInfo sells North American breadth, and neither of them publishes a price. This is somebody running both with Clay in front, which is the arrangement those verdicts describe rather than the either-or the question usually assumes.
Coverage is the one thing nobody in this category will put a number behind, so "crushes it in EMEA" is an experienced opinion and not a measurement. The thread it sits in is itself a request for accuracy benchmarks that do not exist, which is a fair summary of the evidence available on either vendor.
14 threads read on 13 October 2026, searched by vendor name. Scores and dates are the comment's own. Nothing here is the only source for a price or a limit on this site: every figure in the tables above comes from a vendor's own page.
What practitioners say about People Data Labs
Transcribed as written and linked to the thread. A Reddit claim is a signal rather than a fact, so nothing here is the only source for any figure on this page.
The accuracy spread between vendors is smaller than the one inside your own list
it's nearly all the same at the end of the day... there's a marginal 5-10% difference between the vendors but overall 55-65% data accuracy / validity overall. [...] have a team of 20+ (or however many) outsourced data integrity workers through fiver or whatnot... it's what the rich tech companies like AirBnB and Uber do to have the most up to date data...
r/SalesOperations · November 2024 · 3 points
The range here lands on the assumption the waterfall stack on this site is modeled with, which is a 55% first pass. That figure is labeled as modeled on every page that uses it, because no provider in this category publishes a match rate you can hold it to, so an independent practitioner arriving at 55 to 65% is the closest thing to corroboration available. It also makes the case for the waterfall itself: if the best single source clears about 60%, the second provider is not a luxury.
The 5 to 10% spread between vendors is this commenter's estimate and nothing here verifies it, and the thread it comes from is a request for benchmarks that were never published. Read it as a reason to run your own test on your own rows rather than as a reason to skip one, and note that it argues against paying a premium for coverage claims, which is a different question from paying a premium for a redistribution license.
14 threads read on 13 October 2026, searched by vendor name. Scores and dates are the comment's own. Nothing here is the only source for a price or a limit on this site: every figure in the tables above comes from a vendor's own page.
Should you actually switch?
If the reason to leave is price, Apollo is the answer and the gap is not marginal: $0.0196 a credit against a package you cannot see. If the reason is European coverage or a compliance question, Cognism is the only like-for-like here and it will also not publish a price. If the rows are going inside a product you sell, People Data Labs is the only one of the four licensed for it at any price. Most teams that actually switch do it at renewal, with a measured match rate in hand, and discover the quote moves once there is a competing number on the table.
No provider in this category publishes a match rate you can hold them to, so run the same 500 rows through one free tier and one trial, verify every result set, and divide spend by survivors. Your own list is the only evidence worth acting on, it takes half a day, and it changes the decision often enough to be worth it.
Head to head, and in a stack
Apollo API vs ZoomInfo
CompareA published $49 seat with a free tier against the incumbent that prices nothing in public.
Compare them →Cognism vs ZoomInfo
CompareTwo quote-only databases, strongest on opposite sides of the Atlantic.
Compare them →Lusha vs ZoomInfo
CompareLusha publishes what every operation costs and not how fast you may ask. ZoomInfo publishes neither.
Compare them →All alternatives
29Every provider in the directory that teams regularly try to replace, with the reasons and the replacements for each.
Browse the hub →Switching costs more than the rate card says. Usually.
Three times out of four the fix is a second provider behind the first and a credit ceiling in front of it, not a migration. We will tell you which case you are in before you sign anything.
Worked with 300+ companies. A senior operator runs your account.
Switching from ZoomInfo, answered
What is the best ZoomInfo alternative?
It depends on why you are leaving, which is how this page is organized rather than ranked. The replacement most teams land on is Apollo, which this directory lists as the best all-in-one GTM API, at $49/seat/mo. The case for it, and what you give up, is in the section above.
Is there a free alternative to ZoomInfo?
Apollo (Free plan with API access, 900 credits per seat per year granted monthly, so 75 a month), People Data Labs (Free plan, up to 100 credits per month with contact data obfuscated) and Lusha (Free plan, 40 credits a month, 1 seat, no card. API is rate limited strictly.).
What is the cheapest ZoomInfo competitor?
On the entry plan, Lusha: $37.45/mo annual, against ZoomInfo at quote only. Entry price is not the same as cost per result, so check the unit figure on each review before deciding.
How were these competitors chosen?
By the reason teams leave, not by a score. The page opens with the reasons teams leave and matches a replacement to each one.