Email Spam Checker
Test your email subject line and body for spam trigger words. Get a spam score and suggestions to improve email deliverability.
Common Spam Trigger Words
Email spam filters scan for specific words and phrases that are commonly associated with unsolicited or malicious emails. These trigger words fall into several categories. Understanding them is the first step toward improving your email deliverability.
Urgency Words
"Act now", "limited time", "hurry", "urgent", "expire", "last chance", "don't delay". These create artificial time pressure that spam filters readily detect.
Financial Words
"Free", "cash", "earn money", "discount", "lowest price", "no cost", "profit", "$$$". Money-related language is one of the strongest spam signals.
Phishing Phrases
"Click here", "verify your account", "congratulations", "you've been selected", "claim now". These mimic social engineering tactics used in phishing attacks.
Pressure Tactics
"Buy now", "order now", "subscribe now", "call now", "don't miss out". Overly aggressive calls-to-action erode trust and trigger filters.
Exaggeration
"Guaranteed", "100%", "risk-free", "no obligation", "once in a lifetime", "amazing". Superlatives and impossible claims are red flags for filters.
Formatting Issues
ALL CAPS words, excessive exclamation marks (!!!), too many dollar signs ($$$), and fake RE:/FW: prefixes. These formatting patterns are heavily penalized.
How Email Spam Filters Work
Modern email spam filters use a multi-layered approach to determine whether an incoming message is legitimate or spam. Here is an overview of the key mechanisms:
Content Analysis
Filters scan the subject line and body for known spam trigger words and phrases. Each match adds to a cumulative spam score. When the score exceeds a threshold, the email is flagged.
Sender Reputation
Email providers track the reputation of sending domains and IP addresses. A history of spam complaints, high bounce rates, or blacklisting reduces deliverability.
Authentication Checks
SPF, DKIM, and DMARC records are verified to confirm the email actually comes from the claimed sender. Missing or misconfigured records increase the chance of landing in spam.
Engagement Signals
Gmail and other providers monitor how recipients interact with your emails. Low open rates, frequent deletions, and spam reports train the filter to deprioritize future messages.
Machine Learning
Advanced filters use AI models trained on billions of emails to identify spam patterns that go beyond simple keyword matching, including layout, link patterns, and behavioral signals.
Tips to Avoid the Spam Folder
Write Natural Subject Lines
Keep subject lines under 60 characters. Use sentence case, avoid ALL CAPS, and limit punctuation. Personalize with the recipient's name when possible.
Use Conversational Language
Write as if you're speaking to a colleague. Avoid salesy language, hyperbole, and aggressive CTAs. Natural, authentic communication builds trust and avoids filters.
Maintain a Clean Sender Reputation
Set up SPF, DKIM, and DMARC records. Regularly clean your email list to remove bounced addresses. Monitor your sender score and blacklist status.
Balance Text and Images
Avoid image-only emails. Maintain a healthy text-to-image ratio. Always include alt text for images, and never embed text inside images to hide spam words.
Segment and Personalize
Send targeted content to segmented lists. Generic mass emails get more spam complaints. Personalization increases engagement, which improves your sender reputation.
Include an Unsubscribe Link
Always provide a clear, one-click unsubscribe option. It is required by law (CAN-SPAM, GDPR) and preferred by email providers. Making it easy to unsubscribe reduces spam complaints.
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