BounceBan vs ZeroBounce vs MillionVerifier: My 10,000-Email Test

BounceBan vs ZeroBounce vs MillionVerifier: My 10,000-Email Test

I tested BounceBan, ZeroBounce, and MillionVerifier on 10,000 real emails from EU business services campaigns. Here is what changed on catch-all handling, bounce rates, and cost per usable email.

Email verification sounds boring until bounce rate starts damaging your outreach.

You send a campaign. Too many emails bounce. Sender reputation weakens. Reply rates fall. Then you spend the next few weeks fixing infrastructure instead of booking meetings.

I’ve been there.

Most teams default to ZeroBounce because it is the best-known name and the default verifier inside Clay. That makes it feel like the safe choice.

But on my own campaigns, the biggest gap was not on obviously good or obviously bad emails. It was on catch-all emails.

I tested BounceBan, ZeroBounce, and MillionVerifier on 10,000 real emails from EU business services campaigns. This article covers:

  • what happened on one real 10,000-email list
  • why catch-all handling matters so much in B2B outreach
  • what each tool did differently
  • what happened after sending
  • why cost per usable email matters more than sticker price

If you want the bigger workflow context, start with my Email Waterfall Enrichment Guide.

Why Verification Still Matters

A high bounce rate damages sender reputation fast.

Many teams treat 2% as a warning line, even if exact thresholds depend on the platform and setup. If you use Smartlead’s bounce protection, high bounces can also pause campaigns when your chosen limit is hit.

The bounce itself is only part of the problem. Bad verification also means:

  • wasted sends on invalid addresses
  • weaker campaign analytics
  • lower trust from inbox providers
  • more time spent repairing domains later

That is why I treat verification as a required step, not an optional extra.

Why your email finder is not enough

Most email finders do basic checks. They may confirm the domain exists or do a light mail-server check.

That is useful, but it is not the same as deep verification.

The biggest gap shows up on catch-all domains.

The Three Tools

ZeroBounce

ZeroBounce is the best-known verifier in this group. It is strong on compliance, brand trust, and broader deliverability tooling.

It is a good fit for teams that want more than verification, especially if they are already working inside Clay.

BounceBan

BounceBan is more specialized.

Its main pitch is catch-all and hard-to-verify business email handling. It is not trying to be a full deliverability suite. It is trying to solve one painful part of verification better than the others.

MillionVerifier

MillionVerifier is the budget option.

It is simple, low-cost, and useful for cleaning large lists quickly. It also becomes more attractive when you care a lot about bulk economics.

Quick Snapshot

ToolMain strengthMain weaknessBest fit
ZeroBounceBrand trust, compliance, wider deliverability toolsUsually costs moreTeams that want a fuller platform
BounceBanCatch-all handlingSlower on some listsB2B lists with lots of catch-all domains
MillionVerifierCheap bulk cleaningWeaker as a standalone answer for catch-all-heavy listsBudget first-pass cleaning

The Catch-All Problem

This is the part that matters most.

What is a catch-all email?

A catch-all domain accepts mail for many addresses at that domain, even when the exact mailbox may not exist.

That makes verification hard. A normal verifier may see that the domain accepts the message and still not know if the mailbox is truly safe to send to.

Why this matters in B2B outreach

In many B2B lists, catch-all domains are common.

That creates a bad choice:

  • send to them and risk higher bounces
  • remove them and throw away a meaningful part of the list

That is why catch-all handling changes campaign economics so much.

How the three tools differ

In practical terms:

  • ZeroBounce often leaves catch-all emails in a separate risky bucket
  • BounceBan tries to turn more of those emails into a clearer yes or no
  • MillionVerifier works well as a cheap first pass, but I would not rely on it alone for catch-all-heavy lists

That does not mean one tool is universally best.

It means that on my test, the biggest gap came from how the tools handled catch-all emails.

My Test: 10,000 Real Emails

Important caveat first:

This was one real test on one real list. It was not a universal market benchmark.

Method

  • List size: 10,000 emails
  • Source: EU business services outreach list from my own workflow
  • Process: the same list was checked in all three tools
  • Follow-up: emails marked safe or valid were sent in separate campaigns to measure actual bounce rates

Verification Results

MetricZeroBounceBounceBanMillionVerifier
Emails tested10,00010,00010,000
Valid62%71%58%
Invalid19%18%19%
Catch-all / Risky16%5%18%
Unknown3%6%5%
Processing time~8 min~22 min~14 min
Cost for this test$80$34$39

The clearest difference was in how much of the list stayed unresolved.

  • ZeroBounce unresolved: 16% catch-all/risky + 3% unknown = 19%
  • BounceBan unresolved: 5% catch-all/risky + 6% unknown = 11%
  • MillionVerifier unresolved: 18% catch-all/risky + 5% unknown = 23%

So the right reading is not “BounceBan solved everything.”

The right reading is: on this dataset, BounceBan gave me more clear answers on the hard emails than the other two tools did.

Real Bounce Rates After Sending

I then sent the emails each tool marked as safe or valid in separate campaigns.

MetricZeroBounce setBounceBan setMillionVerifier set
Emails sent6,2007,1005,800
Bounce rate1.4%0.9%1.6%

On my list, BounceBan produced:

  • the largest sendable set
  • the lowest measured bounce rate

That was the key outcome.

One caution: this post-send comparison is based on real campaign output, not a lab test. If you want to generalize from it, make sure your own campaigns control for the sending environment as tightly as possible.

What I Took From the Test

1. The biggest gap was not on easy emails

For clearly good or clearly bad emails, the tools were usually close.

The real gap showed up on harder emails, especially catch-all domains.

2. BounceBan gave me more sendable emails

Compared with ZeroBounce, BounceBan added about 900 more sendable emails from the same 10,000-email list.

That matters at scale.

3. BounceBan was slower

BounceBan took longer than the other two tools in my test.

That is a real tradeoff. If throughput is your top priority, that matters.

4. MillionVerifier is still useful

MillionVerifier did not win this test overall, but it still makes sense as a low-cost bulk cleaner.

It is a good first step when budget matters and you want to remove obvious bad emails cheaply before doing anything more expensive.

Pricing Notes

Pricing changes over time, so always check the vendor pages before buying.

But the bigger point is this:

Do not optimize only for cost per verification. Optimize for cost per usable email.

The raw test costs were:

  • ZeroBounce: $80 for 10,000
  • BounceBan: $34 for 10,000
  • MillionVerifier: $39 for 10,000

Now compare that to what each tool actually gave back:

MetricZeroBounceBounceBanMillionVerifier
Usable emails from 10K list6,2007,1005,800
Effective cost$80$34$39
Cost per usable email$0.0129$0.0048$0.0067

On this test, BounceBan was not just the best performer on difficult emails. It also had the lowest cost per usable email.

That is why it looked strong in practice. The price story only makes sense when you combine cost with output.

My View on Each Tool

Choose ZeroBounce if:

  • you want the safest, best-known platform choice
  • you care about compliance and broader deliverability features
  • you are already deep in Clay
  • you want a bigger platform, not only a verifier

Choose BounceBan if:

  • your list has lots of catch-all domains
  • you care about getting more usable emails from B2B lists
  • you are okay with slower processing
  • you care more about output than brand familiarity

Choose MillionVerifier if:

  • you want the cheapest first pass
  • you clean large lists often
  • you mainly want to remove obvious bad emails quickly
  • you may use a second tool later for the harder subset

The Setup I Like Best

My preferred operating setup is:

MillionVerifier first, then BounceBan on the risky segment.

Why:

  • MillionVerifier is cheap for the first clean-up
  • BounceBan is better on the hard catch-all cases
  • together, they can give you a better balance of cost and coverage than using a more expensive specialist on the full list

That flow looks like this:

  1. run the full list through MillionVerifier
  2. remove the clear bad emails
  3. isolate the risky / catch-all segment
  4. run that smaller group through BounceBan

Important nuance: this article’s measured head-to-head test was the single-tool comparison above. I am recommending this layered setup as the most practical operating model, not claiming that the combined workflow was separately benchmarked in the tables above.

FAQ

Is BounceBan better than ZeroBounce?

On my test list, BounceBan was better for catch-all-heavy B2B outreach.

That does not mean it will win on every list. But on this dataset, it gave me more sendable emails and a lower bounce rate.

What is the cheapest option?

MillionVerifier is usually the easiest low-cost choice for bulk cleaning.

But cheapest per verification is not always cheapest per usable email.

Should I verify before or after email finding?

After.

First find the emails. Then verify them before sending.

How often should I re-check a list?

At minimum, re-check old lists before sending again.

Email data ages over time, so a list that looked safe a few months ago may not still be safe now.

Bottom Line

Email verification is not all the same.

On easy emails, most tools can look similar. On harder B2B lists with lots of catch-all domains, the gap can be large.

My conclusion from this test:

  • ZeroBounce is the safe, well-known platform choice
  • BounceBan was the strongest standalone performer on my catch-all-heavy B2B list
  • MillionVerifier is the best budget first pass
  • MillionVerifier + BounceBan is the operating setup I would use when I want a balance of cost and coverage

If your outreach list has very few catch-all domains, the gap may be small.

If your list looks like mine, the gap is real.

For the full workflow, read my Email Waterfall Enrichment Guide next.