Spam filter false positives: what a held enquiry really costs
A spam filter can be 99% accurate and still hold one real enquiry in ten. How to work out what those misses cost you, and how to measure a filter before you trust it.
Common problem
A test submission proves exactly one thing: that a message sent by somebody who knows to go and look for it arrives. It says nothing about the ones you never see, and those are the only ones worth worrying about. Four questions cover the rest.
Work down the list. Each one takes less time than the one after it, and you can stop as soon as something matches.
Filling in your own form and watching the email arrive tests the one path you were already sure about: a message you wrote, from a browser you were logged into, to a mailbox you were watching, at a moment you were paying attention. Every failure that matters happens on one of the other paths.
1 in 5
contact forms a browser can see are invisible to a single static read of the same page — 94.3% found on WordPress, 21.9% on Squarespace. That is our own instrument's blind spot, measured and published, and it is the reason a check is a starting point rather than an all-clear.
From our study of 598 contact pagesThe exact menu path, per builder, with the field named.
Our free check reads your contact page and tells you what it finds. No account, nothing installed, and nothing on your site changes.
Once a year, and every time the site is rebuilt, a form is added, or somebody with an address on it leaves. A rebuild is the common one: forms are recreated and the notification address is retyped from memory or left at the theme default.
Honestly, no — not retrospectively, and be wary of anyone who offers a number. Missed enquiries leave no record anywhere: the visitor submitted, saw a thank-you message, and went on with their day. You can only start counting from the point you start measuring.
No. The check reads a public page and changes nothing. The dry run changes nothing either — every message is delivered exactly as it is today, and the report at the end is a list of what would have happened. Deciding comes after the evidence, which is the right way round.
A spam filter can be 99% accurate and still hold one real enquiry in ten. How to work out what those misses cost you, and how to measure a filter before you trust it.
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