Get your newsletters delivered
What actually decides inbox versus spam — sender reputation, list quality, engagement — and the content habits the deliverability check scores.
3 min read
The foundation: identity and reputation
Send from your verified domain. pplCRM requires this before any broadcast — it is what lets Gmail and Outlook trust the mail is really yours. Add a DMARC record. It is optional for verification but Gmail, Yahoo and Microsoft require it of bulk senders; even a monitor-only policy ( p=none) counts. Your DNS checklist under Workspace → Domains shows the record.Keep your identity steady. Same from-name and address every send, a regular cadence, and no sudden jumps in volume. Watch your reputation where the inboxes do. Enroll your domain in [Google Postmaster Tools](https://postmaster.google.com) — keep the spam-rate graph under 0.1% and never past 0.3%.
List quality beats everything
Only email people who opted in through your forms, events or sign-ups. Purchased and scraped lists bounce hard, get reported, and trip the automatic pauses. Unsubscribes and bounces are honored automatically — never re-import around them. Consider double opt-in on public forms, and rest people who have not opened anything in months; mailing the unengaged drags down delivery for everyone else on your list.
Content habits the check scores
Subject: sentence case, under ~70 characters, no stacked exclamation marks or currency symbols, and never a fake “Re:”. Body: keep the HTML under ~100KB (Gmail clips beyond that and hides your footer), and keep a healthy balance of real text to images. A plain-text version is generated automatically for every send. Images: host them on regular https://URLs, keep each roughly 600px wide and comfortably under 200KB, and give every image alt text — that is what people see while images load or stay blocked.Links: link real destinations on domains you control — no URL shorteners, no bare IP addresses, and make the visible text match where the link goes.
How the deliverability check scores you
Try this on sample data.
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