A rating that predicts how likely an email is to be filtered as spam, based on its content, formatting, and sending signals.
What Is an Email Spam Score?
A spam score is generated by running an email through a testing tool before you send it, checking things like subject line patterns, image-to-text ratio, link reputation, and authentication status. Lower scores mean a lower predicted risk of filtering.
Why Spam Score Matters
Checking this before you send catches problems while they’re still cheap to fix. Finding out your subject line tripped a spam filter after a campaign already underperformed is a much more expensive way to learn the same lesson.
What Affects Spam Score
– Subject line and preview text patterns, like excessive punctuation or trigger phrases
– Image-to-text ratio, an email that’s mostly one large image scores worse
– Link reputation, including any shortened or unfamiliar domains
– HTML quality, broken code can trigger filters on its own
– Authentication status, missing SPF, DKIM, or DMARC affects the score directly
What a Spam Score Result Looks Like
A typical test result from a tool like Mail Tester looks something like this:
Score: 7.2 / 10
SPF: Pass
DKIM: Pass
DMARC: Pass
Issue found: Image-to-text ratio is high
Issue found: Subject line contains “FREE” in all caps
The score itself matters less than the specific issues listed underneath it. Fix those, and the score follows.
How to Check Your Spam Score
1. Use a free tool like Mail Tester, which gives a score out of 10 along with specific issues found
2. Send your draft campaign to the tool’s test address before sending to your real list
3. Fix flagged issues and retest if the score comes back low
4. Make this a standard step before every campaign, not just occasionally
How Adflipr Helps
Adflipr flags common spam-score risks, like heavy image use or missing authentication, directly inside the campaign editor before you hit send, so issues get caught during the build instead of after the results come in.
Best Practices
– Test spam score before every campaign, especially high-stakes sends like a sale launch
– Keep a healthy balance of text and images rather than leaning on a single large image
– Avoid excessive punctuation, all caps, and classic spam trigger phrases in subject lines
– Make sure authentication is fully set up, since it affects score independently of content
Common Mistakes
– Only checking spam score after a campaign already underperforms
– Assuming one flagged word in a subject line is the whole problem, when it’s usually a combination of signals
– Ignoring image-to-text ratio on visually heavy promotional emails
– Treating a good score as permanent instead of testing each new campaign
Frequently Asked Questions
On a typical 10-point scale, scoring 5 or below is generally considered safe, with lower being better. Anything higher usually flags specific, fixable issues worth addressing before sending
Send your draft campaign to a free tool like Mail Tester, which returns a score along with a breakdown of specific issues, from authentication gaps to risky subject line language.
Rarely in isolation. Spam scoring looks at a combination of signals together, subject line, content, links, and authentication, so one risky word usually isn’t the deciding factor unless paired with other issues.
Yes, spam score is a prediction, not a guarantee. A domain with strong sender reputation has more room for error, but relying on that instead of fixing flagged issues is a risky habit long term.
