Why we report coverage alongside accuracy

One number can be improved by making the product worse. Two cannot.

Most vendors in this category publish an accuracy percentage. ZeroBounce says 99.6%. Clearout says 99.73%. Reoon says over 99%. Read those next to each other and the market looks solved.

Then Hunter tested 15 verifiers on 3,000 real business addresses in November 2025 and measured overall accuracy between 31.2% and 70.0%. Hunter is an interested party and they published the method anyway, which is why the number stuck.

Both sets of figures are arithmetically true. They are dividing by different things. The vendor number asks: of the addresses where we returned a definitive verdict, how often were we right? The addresses where the server refused to answer never enter that calculation.

That exclusion is not a rounding error. It is where the entire difficulty lives. Catch-all domains, Yahoo's anti-harvesting policy, Microsoft throttling, greylisting, servers that drop the connection: these are the addresses a verifier cannot resolve, and removing them from the denominator is what makes 99.6% possible.

What a second number prevents

Coverage is the share of a list we returned a definitive verdict on. Accuracy is how often those verdicts were right. Published together, they cannot be gamed in the direction that hurts you.

Consider a verifier that resolves 70% of a list at 99% accuracy, and one that resolves 95% at 92%. The second sounds worse and is probably more useful, because it made a call on far more of your list. With one number you cannot tell those two apart, and the incentive runs toward the first.

Worse, a verifier can move from the first shape to a 99% headline by labeling difficult addresses as valid. Accuracy barely moves, coverage looks unchanged because nobody reports it, and your bounce rate rises. The number improved and the product got worse.

Why coverage changes from list to list

The short version

  • Ask any verifier what share of your list came back unresolved. That figure is more informative than their accuracy claim.
  • Run the same sample through two vendors and compare the unresolved counts rather than the marketing pages.
  • Treat a single accuracy percentage with no denominator as marketing, whoever is publishing it.

Questions people ask

Is a 99% accuracy claim dishonest?

Not arithmetically. It is calculated on the addresses the verifier chose to judge, which is a real number about a smaller set. It becomes misleading when it is presented as a statement about your whole list.

Why does Hunter's benchmark show such lower numbers?

Because it measured against a full dataset including the addresses nobody can resolve. Different denominator, same underlying reality.

See both numbers on your own list

100 free checks a month, no card. Addresses we could not get an answer on come back labeled, and we do not bill them.