Why your emails land in spam — 12 checks that decide it
Inbox or spam is not luck. Here are the twelve signals mailbox providers weigh, and how to fix the ones working against you.
When a campaign lands in spam, the instinct is to blame the subject line. Usually the real cause is further upstream. Mailbox providers score dozens of signals; here are the twelve that move the needle most — roughly in the order they are evaluated.
Authentication & identity
- SPF, DKIM, DMARC — missing or misaligned authentication is the fastest route to the spam folder. Fix these first.
- Reverse DNS (PTR) — your sending IP should resolve to a hostname that matches your HELO. Mismatches look like botnet traffic.
- Consistent From identity — switching
Fromdomains and friendly names erodes the reputation you have built.
Reputation
- IP and domain blocklists — a single listing on a major DNSBL can tank delivery. Check continuously, not once.
- Sending history — sudden volume spikes from a cold IP read as a spam run. Warm up.
- Engagement — opens, replies, and “not spam” clicks build reputation; spam complaints and deletes destroy it.
Content & structure
- HTML-to-text ratio — image-only emails with little text are a classic spam pattern. Always include a real plain-text part.
- Risky links — URL shorteners, mismatched anchor text, and links to low-reputation domains all add spam points.
- Spam-trigger phrases — “free”, “act now”, excessive punctuation and ALL CAPS still carry weight in content filters.
- Broken or bloated HTML — unclosed tags and 100KB+ messages get clipped and penalized.
Hygiene
- List quality — sending to spam traps and dead addresses signals poor list management. Use confirmed opt-in.
- Unsubscribe & headers — a working
List-Unsubscribeheader (and one-click variant) is now effectively required by Gmail and Yahoo for bulk senders.
Turn signals into a score
You do not have to guess which of these is hurting you. Send one message through DeliverSight and every check above comes back as a single score out of 10, with the specific failures ranked by impact — so you fix the one that matters before the eleven that do not.