Everyone quotes a monthly price. Almost nobody quotes a price per lead. I divided one by the other, and the published rates alone span twelvefold.
A tool that costs $99 a month is not expensive. A tool that costs $99 a month and gives you 170 contacts is very expensive.
That is $0.58 a lead, and almost nobody works it out before subscribing.
So that is how I ranked this list. List price divided by the contacts or companies included on the entry plan. Nothing else.
The results are not subtle. The cheapest published rate here is under five cents a lead. The dearest published rate is fiftyeight cents. Same category, same job, twelvefold difference before you count quality. The flat fee tool at the top of the list sits well below even that.
Then there is the third of the category that will not tell you the price at all.
Cost per lead here is list price divided by included credits on the cheapest paid plan. Monthly billing where published, annual where that is the only rate given.
One credit usually equals one contact record. Where a vendor counts differently, I say so in that tool's entry.
This measures price, not quality. A five cent lead with a dead email costs more than a fifty cent lead that answers. Treat the table as the first question, not the last one.
List price divided by included credits on the cheapest paid plan. The last column is the one people skip: a third of this category will not tell you the price.
| # | Tool | Entry price | Included | Cost per lead | Published? |
|---|---|---|---|---|---|
| 1 | StackScan | $39/mo | whole segment | ~$0.02 | Yes |
| 2 | Snov.io | $49/mo | 1,000 credits | $0.049 | Yes |
| 3 | Hunter.io | $34/mo | 500 credits | $0.068 | Yes |
| 4 | LeadIQ | from $15/mo | 200 credits | $0.075 | Yes |
| 5 | Seamless.AI | ~$79/user | 1,000 credits | $0.079 | No, reported |
| 6 | Lusha | $22.45/user | 3,000 a year | $0.090 | Yes |
| 7 | Kaspr | $37/mo | not stated | not calculable | Partly |
| 8 | Wiza | pay as you go | per export | varies | Yes |
| 9 | Apollo.io | ~$49/user | bundled | bundled | Yes |
| 10 | Lead411 | $99/user | 200 exports | $0.495 | Yes |
| 11 | UpLead | $99/mo | 170 credits | $0.582 | Yes |
| 12 | RB2B | free tier | visitors, not credits | n/a | Yes |
| 13 | Instantly | bundled | database + sending | n/a | Yes |
| 14 | Smartlead | bundled | sending only | n/a | Yes |
| 15 | Dealfront | quote only | unknown | cannot compute | No |
| 16 | Cognism | quote only | unknown | cannot compute | No |
| 17 | ZoomInfo | annual contract | unknown | cannot compute | No |
Scroll sideways for the full table. Figures are list prices in August 2026.
Every other tool on this page charges you per contact. StackScan charges you per query.
You pick a technology, add a country and a TLD, and it returns every domain that matches. One flat price, however many rows come back.
That inverts the economics. On a credit tool, a bigger list costs more. Here a bigger list costs nothing extra, so your cost per company falls the wider you cast.
Pull a 2,000 domain segment on the $39 plan and each company works out around two cents. Pull 10,000 and it is under half a cent.
The honest caveat is that these are companies, not people. You get the domain plus up to 20 enrichment fields, not a named contact with a direct dial.
So for most teams it is the first step rather than the only one. Build the company list here, then spend contact credits only on the accounts that survive qualification, which is where the real saving lands.
The list does not have to stay in a spreadsheet either. There is a REST API, native CRM integrations, Zapier and n8n, and an MCP server for agent workflows.

StackScan indexes 360 million plus domains across 55,000 technologies.
Forty nine dollars, a thousand credits, just under five cents a contact. That is the lowest published rate in this comparison.
One credit finds one email. A phone number costs ten, which is worth knowing before you plan a calling campaign around it.
The scaling tiers hold the rate roughly steady, $99 for 5,000 and $249 for 25,000, so it does not punish you for growing.
Verification is included on the same pool rather than sold separately, which quietly removes a cost most competitors charge for.
It also sends. Having the finder and the sequencer under one subscription is convenient, though the sending side is weaker than the specialists further down this list.

Snov.io bundles finding, verifying and sending on one credit pool.
Thirty four dollars for 500 credits on annual billing. Just under seven cents a contact.
Hunter has been doing email discovery longer than most of this list has existed, and it shows in the accuracy scores it publishes next to every result.
That confidence score is the underrated feature. It lets you drop the guesses before you send rather than after you bounce.
Credits sit in one shared pool with unlimited users, so a small team does not multiply the bill the way per seat tools do.
It does one job. No dialler, no sequencer worth the name, no company database to browse. If you want a platform, this is not it.

Hunter has done one job, email finding, for over a decade.
Seven and a half cents a contact, from a starting price of about $15 a month.
That low floor is the point. Most tools here want $34 to $99 before they will talk to you. LeadIQ lets you buy 200 credits and stop there.
For a founder testing whether outbound works at all, that difference matters more than the per credit rate.
The free tier gives 50 credits a month, which is enough to check the data against companies you already know before spending anything.
It works as a browser extension over LinkedIn rather than a database you browse, so your targeting still happens in Sales Navigator.
Enterprise pricing is custom and unpublished, which is where the transparency stops.

LeadIQ sells credits in packets rather than forcing a large monthly floor.
Around eight cents a contact, which sounds competitive until you look at how you get there.
Seamless publishes a free tier of 1,000 credits a year and then stops publishing. Pro and Enterprise are both quote only.
The figure above comes from users reporting roughly $79 per user per month for 1,000 credits, not from a price list. Treat it as indicative.
The recurring complaint is not the rate, it is the contract. Annual terms, auto renewal and a sales process that is easier to enter than exit.
The data itself is real time rather than a static database, which helps freshness and hurts consistency. Run the same search twice and you will not always get the same rows.

Seamless.AI publishes a free tier but negotiates everything above it.
Nine cents a contact, and the lowest monthly entry price of any contact tool here.
Read the credit allowance carefully though. Three thousand credits is an annual figure, which is 250 a month. That catches people out.
What justifies the rate is phone coverage. Most tools at this price sell email and charge extra for a mobile number. Lusha includes them.
European coverage is stronger than the American tools, and its compliance posture is built for teams that have to answer GDPR questions.
The browser extension is the way most people use it, pulling contacts off LinkedIn one at a time rather than exporting lists.

Lusha's differentiator is mobile numbers included at the entry tier.
Kaspr sits in the same space as Lusha and prices similarly, from around $37 a month.
I could not compute a cost per lead for it, because the credit allowance on the paid tiers is not stated plainly enough to divide by.
The free tier is 40 credits a month, which tells you the shape of the model but not the economics of the paid one.
It works inside LinkedIn, revealing contact details on profiles and letting you push them into a sequence without leaving the tab.
European phone coverage is its strong suit, and being owned by Cognism means it inherits a serious compliance operation.

Kaspr works inside LinkedIn rather than as a standalone database.
Wiza does one narrow thing. You run a Sales Navigator search, it exports the results with verified emails attached.
That makes it a companion to LinkedIn rather than a database in its own right, and the cost per lead depends entirely on how you buy credits.
The appeal is that your targeting happens in Sales Navigator, which has filters no contact database can match, then Wiza handles only the enrichment.
It verifies as it exports, so what lands in the sheet is already checked rather than needing a second pass.
You do need a Sales Navigator seat for the good filters, and that is a real cost sitting behind the sticker price.

Wiza exports Sales Navigator searches into verified contact lists.
Apollo is the tool most teams end up on, because it does the whole job for about $49 a seat.
Database, sequencer, dialler, CRM sync. One subscription instead of four.
Working out a cost per lead is deliberately awkward. Export limits, email credits and mobile credits are separate allowances that vary by tier, so the honest answer is bundled.
That bundling is a genuine saving if you would otherwise buy three tools. It is a genuine trap if you only wanted data, because you are paying for a sequencer you will not open.
Intent data sits behind the $119 per user Organization plan, which is worth knowing before it is quoted at you as included.

Apollo sells a whole outbound stack rather than data by the credit.
Just under fifty cents an export, which puts it near the expensive end of the published rates.
The model is unusual though, and worth understanding before you dismiss the number. Viewing records is unlimited. You only spend a credit when you export one.
That changes how you work. You can research and qualify as much as you like at no marginal cost, then pay only for the contacts that survive.
Used that way the effective cost per usable lead drops well below the headline figure, which is not true of the tools that charge you to look.
It includes Bombora intent data on higher tiers, and verified direct dials on all of them.
The catch is a minimum three month commitment on the entry plan, so it is not something you can trial for four weeks and drop.

Lead411 lets you view unlimited records and bills only on export.
Fifty eight cents a contact. Twelve times the cheapest rate on this page.
UpLead's argument is that you are not buying contacts, you are buying contacts that work. It verifies emails at the moment of export and does not charge you for the ones that fail.
If your bounce rate is what keeps you awake, that changes the sum. A five cent lead with a thirty percent bounce rate is not really five cents.
The 95 percent accuracy claim is one I cannot independently verify, but the credit refund policy at least puts their money behind it.
At 170 credits on the entry plan, this is not a volume tool. It suits low volume, high value outbound where each conversation is worth something.

UpLead verifies in real time and charges accordingly.
Every tool above this line finds strangers. RB2B works the other way round.
It puts a script on your site and tells you which individual people visited, by name, US traffic only.
That is a different category of lead. Someone who read your pricing page yesterday is not comparable to a name pulled from a database, which is why cost per lead does not apply here.
There is a free tier that returns a slice of identified visitors, which is unusually generous for what it is.
Person level identification raises obvious privacy questions, and it is US only precisely because of them. Worth thinking about before you switch it on.

RB2B identifies individual visitors rather than just companies.
Instantly started as cold email infrastructure and added a lead database once it had the audience.
The bundling means data and sending come from one subscription, so a separate cost per lead is not really extractable.
Its actual strength is deliverability. Unlimited mailbox connections, automated warmup, inbox rotation. The unglamorous plumbing that decides whether your campaign lands.
The database is competent rather than exceptional. You would not choose it on data quality alone.
You would choose it because sending 5,000 emails a week without landing in spam is harder than finding 5,000 addresses, and this is the half most teams get wrong.

Instantly bundles a lead database with cold email infrastructure.
Smartlead does not sell you leads at all, which is why it has no cost per lead.
It is included because a lead you cannot reach is not a lead, and this is the tool that decides whether you reach them.
Unlimited mailboxes, automatic rotation, warmup, and a master inbox so replies do not scatter across forty accounts.
Agencies favour it because it handles many clients cleanly under one roof, with white labelling if you resell.
Pair it with something from the top of this page. Cheap data plus good sending beats expensive data plus bad sending, every time.

Smartlead is infrastructure, with no lead database of its own.
Dealfront is what happened when Leadfeeder and Echobot merged, combining visitor identification with a European contact database.
The product is good. The pricing page is a contact form.
That is why it sits at thirteen rather than higher. I cannot rank a cost per lead that does not exist publicly.
For European teams the compliance story is genuinely strong, built around GDPR rather than retrofitted to it.
If you get a quote, ask what a contact costs and divide it yourself before you compare it to anything above.

Dealfront merged Leadfeeder and Echobot, and publishes no rate card.
Cognism's entire pitch is that its mobile numbers connect, and that its data is clean enough to survive a compliance review.
Diamond verified numbers are human checked. That is expensive to produce and priced accordingly.
Which I cannot show you, because nothing is published. Everything is negotiated, and the reported floor is well into five figures a year.
If you run an outbound team where a connected call is worth hundreds, the maths can work at a cost per lead that would look absurd on the table above.
If you are one person testing a market, it is not aimed at you.

Cognism publishes no pricing and sells on data quality instead.
Nobody disputes the coverage. ZoomInfo holds more company and contact records than anything else here.
What nobody can tell you is the unit price, because it is an annual negotiated contract with export limits that vary by deal.
Those export limits are the part that bites. Teams routinely discover the seat they bought comes with a cap that makes bulk list building impossible.
It sits last on a cost per lead ranking for the simple reason that it cannot be placed on one.
If your employer already pays for it, use it and ignore this table. If they do not, the tools at the top of this page will answer the same question for a rounding error.

ZoomInfo's About page. The homepage serves a bot challenge to non-browsers.
The cheapest lead is the one you never had to buy.
Run it in this order and the bill takes care of itself.
Cost per lead is the easy half. Cost per reply is the one that decides whether any of this works.
A five cent contact with a bad email is not cheap. You paid the credit, you burned a send, and you nudged your domain reputation the wrong way.
Work out your real number after a campaign: total spend divided by replies, not by contacts. Then come back to this table.
Most people find the ranking rearranges itself once quality is priced in. That is the point.
For raw contact data, anything under ten cents is competitive and anything over fifty needs justifying.
But raw data cost is a small part of the picture. Once you count verification, bounces and the time spent qualifying, most teams land somewhere between fifty cents and two dollars per usable lead.
If you are measuring cost per lead without measuring cost per reply, you are optimising the wrong number.
Because negotiated pricing earns more than list pricing.
If every buyer pays a different rate, the vendor captures more value from the ones with bigger budgets. Publishing a number caps that.
It is a legitimate commercial strategy and it is also a real cost to you, in sales calls and in not being able to compare like for like. Three of the seventeen tools here work this way.
Often, but not reliably.
The correlation between price and accuracy in this category is much weaker than vendors would like you to believe. Some expensive tools have mediocre data and some cheap ones are fine.
The only way to know is to test the same hundred companies through two tools and compare bounce rates. That costs an afternoon and settles the argument permanently.
For testing, absolutely. For a real pipeline, no.
Hunter, Apollo, Seamless, Kaspr and RB2B all have free tiers worth using to judge data quality before you pay.
Use them to compare accuracy on companies you already know, then buy the one that got the most right.
If you are sending more than a few hundred emails a week, yes.
Deliverability is a separate discipline from data. Mailbox rotation, warmup and reputation management decide whether your messages arrive at all.
Cheap data through good sending infrastructure beats expensive data through a single Gmail account, every time.
One number, calculated the same way for everyone.
List price divided by included credits on the cheapest paid plan. Monthly rates where published, annual where that is all a vendor gives.
Where a vendor bundles data with sending, or sells access rather than credits, I have said the figure is not applicable rather than inventing one.
Where a vendor publishes nothing, it ranks last. Not as a punishment, but because a cost per lead ranking cannot include a tool whose cost is a secret.
This measures price, not quality. Prices are each vendor's published list rate in August 2026 and move often. Figures marked as reported come from user accounts rather than a rate card, and are labelled where they appear.
Cheap contacts against the wrong accounts is still wasted money. We also ranked 15 ABM tools by whether they actually build your target list, which is the step most teams skip. If you sell to online merchants, see 15 tools for finding Shopify stores, and to source accounts from a rival instead, 15 competitor analysis tools. Already have the records and want them to say something useful? 15 data enrichment tools ranked by what they add to a CRM record.