What are spam trigger words?
Spam trigger words are terms and phrases that spam filters have learned to associate with unwanted mail — think “free money”, “act now”, “risk-free”, or “100% guaranteed”. Modern filters weigh content statistically rather than banning any single word, but a subject line or body dense with these phrases raises your spam score and increases the odds of landing in the junk folder.
This checker scans your subject and body against a large, categorised dictionary — money, urgency, scam, call-to-action, pharma, exaggeration, and marketing terms — and returns a weighted risk score with every match highlighted. It is a content lint pass, not a guarantee: authentication, sender reputation, and list hygiene still matter, but cleaning up risky copy is the fastest lever you fully control.
Why scan for spam words?
1Protect inbox placement
Reducing risky phrases lowers your content spam score and keeps more mail out of the junk folder
2Catch problems before you send
A pre-send scan is cheaper than a damaged sender reputation you have to rebuild afterwards
3Learn which categories hurt most
Seeing matches grouped by category shows whether urgency, money, or hype language is dragging you down
4Tighten subject lines
The subject carries outsized weight — the checker flags triggers there separately so you can rewrite them first
How the spam word checker works — step by step
Paste your subject line and email body into the form — no signup or file upload required.
The tool matches your text against a categorised dictionary of known spam trigger phrases using word-boundary matching.
Each match is weighted by category, since some groups (like pharma or scam terms) carry more risk than others.
You get an overall risk score from 0 to 100 and a low/medium/high severity rating.
Every flagged word is listed with its category so you can rewrite or remove the riskiest phrases.
Common content mistakes and fixes
Excessive urgency
Stacking “act now”, “limited time”, and “hurry” reads as pressure — space out or soften time-based language
Money and hype language
Phrases like “free cash” or “double your income” spike scores — describe concrete value instead
ALL CAPS and punctuation
Shouting subject lines and rows of exclamation marks compound word triggers — write in normal case
Ignoring the subject line
A clean body cannot rescue a spammy subject — treat the subject as your highest-risk field
Frequently Asked Questions
A spam word checker scans your email subject line and body for words and phrases that spam filters associate with unwanted mail — terms like “free money”, “act now”, or “risk-free”. It returns a risk score and highlights each match so you can rewrite the phrases most likely to hurt inbox placement before you hit send.
Not by themselves. Modern filters weigh many signals — sender reputation, authentication, engagement, and list hygiene — alongside content. A single trigger word rarely matters, but copy densely packed with them raises your content spam score and, combined with weaker signals, tips more mail into the junk folder. Cleaning up risky wording is the part of the equation you fully control.
The tool matches your text against a categorised dictionary — money, urgency, scam, call-to-action, pharma, exaggeration, and marketing terms — using word-boundary matching so partial words are not falsely flagged. Each match adds points weighted by its category, since heavier categories like pharma and scam carry more risk. The total is capped at 100 and mapped to a low, medium, or high severity.
No. The scan runs against your submitted text to produce the score and matches, and the content is not saved or used for anything else. You can paste real copy to test it, though for peace of mind you can also scan a representative draft rather than sensitive final content.
Start with the subject line, which carries the most weight — remove urgency and money triggers there first. In the body, replace hype (“amazing”, “guaranteed”) with concrete specifics, avoid ALL CAPS and rows of exclamation marks, and cut repeated calls to action. Re-scan after editing to confirm the score has dropped into the low range.