spam-folder-check

Spam Folder Check

Use this skill when

Someone suspects their emails are not arriving, and nobody has checked.

The tell is almost always the same: reply rates drop, the copy did not change, the list did not change, and the team's first instinct is to rewrite the subject line. Subject lines do not matter to a message that never renders in an inbox.

Run this before anyone rewrites anything.

Do not use it to diagnose weak copy on a campaign that is demonstrably being delivered and opened. That is cold-outbound-sequence-review.

Required input

At minimum, the sending domain. That alone gets you the authentication picture.

Better, add whatever of this exists:

• the DNS TXT records for SPF, DKIM and DMARC, pasted, or permission to read them
• sending volume per day per mailbox, and how long the domain has been sending
• bounce rate, split into hard and soft if the tool reports it
• spam complaint rate
• whether the sending domain is the main company domain or a lookalike bought for outbound
• the sending tool and whether mailbox warmup is switched on
• open rate history, with the caveat below

If someone hands over only a screenshot of a sequence dashboard, say what is missing and check what can be checked.

Analysis workflow

1. Run ../scripts/email_auth_check.py over the records. Counting SPF lookups against the limit of ten, reading the qualifier on all, spotting DKIM test mode and telling p=none from p=reject are mechanical, and eyeballing them is how a domain passes an inspection and still lands in spam. Pass the records with --spf, --dkim and --dmarc, or a file with one per line.
2. Read what it returns and say plainly which of the three is missing, misconfigured or merely present but permissive. SPF that ends in ~all with eleven includes, DKIM that does not verify, and DMARC set to p=none are three different problems with three different fixes.
3. Check the domain age and reputation posture. A domain that started sending in volume three weeks after registration behaves differently from one sending for four years, and the fix is patience, not configuration.
4. Compare volume per mailbox against a conservative ceiling. Most cold outbound problems are volume problems wearing a copy problem's clothes.
5. Read the bounce rate as a list-quality signal first and a reputation signal second. A hard bounce rate above a few percent is a list that was never verified, and it damages the domain for months after the campaign ends.
6. Read the complaint rate as the strongest available proxy for whether recipients consider this spam. It matters more than any other number here.
7. Separate what is broken from what is merely unproven. Open rates cannot confirm delivery. Apple Mail Privacy Protection, on by default since 2021, loads the tracking pixel on delivery whether or not anyone reads the message, so on an Apple-heavy list the number is inflated by an unknown amount. Do not build a delivery conclusion on it.
8. Name the one fix that comes first, and say what it will not fix.