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Cold Email Risk Analyzer

Check spam triggers, subject-line risks, readability, formatting, and cold-email best practices before you send. Paste an email and get an instant, private, rule-based report.

This tool evaluates content-related risks only. It does not guarantee inbox placement.

Private analysis — runs in your browser, nothing is stored.
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Triggers

Your report will appear here

Paste a subject line and email body, then click Analyze Email. We'll score content risk, highlight risky phrasing, and suggest fixes.

This tool evaluates content-related risks only. It does not guarantee inbox placement.

Cold email checklist

A quick sanity check for any first-touch email. Run it before you queue a sequence.

  • Clear sender identity
    Recipient can tell who you are from the sign-off.
  • Honest subject line
    No fake Re:, Fwd:, or misleading claim.
  • Relevant business context
    The email explains why you're writing this specific person.
  • One reasonable CTA
    A single, low-friction next step — not three.
  • No deceptive claims
    No 'guaranteed' outcomes or absolute promises.
  • No fake reply or forward
    Never dress a first-touch email as a thread reply.
  • No excessive links
    Ideally 0–1 link in the first email.
  • Opt-out wording included
    A soft line like 'reply STOP and I'll drop you'.
  • No unrealistic guarantee
    Replace absolutes with real numbers or ranges.
  • No attachment-first request
    Don't lead with attachments — they lower deliverability.

This checklist provides general best-practice guidance and is not legal advice.

What is an email spam checker?

An email spam checker is a tool that scans the content of a message for words, phrases, and structural patterns that historically correlate with spam. It doesn't open your inbox, doesn't send a test email, and doesn't touch your DNS. Instead, it looks at what you wrote and flags patterns that filters and recipients tend to distrust.

A content check like this catches the risks you control at the keyboard: aggressive urgency, absolute guarantees, misleading subject lines, broken merge tags, walls of text, and excessive links. It's a fast way to catch the obvious things before a campaign goes out.

What does this tool analyze?

The Cold Email Risk Analyzer reviews five areas of your email:

  • Spam-trigger phrases across urgency, financial, overpromising, suspicious, promotional, and aggressive categories — each with a severity rating.
  • Subject line — length, word count, all-caps, punctuation, emojis, misleading Re:/Fwd: prefixes, and trigger phrases.
  • Email structure — body length, paragraph length, link count, question count, CTA count, merge-tag validity, sign-off, and opt-out wording.
  • Readability — long sentences, first-person ratio, generic openings, jargon, and repeated phrases.
  • Cold-email best practices — a checklist covering identity, honesty, context, links, and realistic claims.

Can spam words alone send an email to spam?

Not on their own. Modern inbox filters (Google, Microsoft, Apple, and the major corporate gateways) weight hundreds of signals and lean heavily on sender behavior: authentication, historical reputation, engagement patterns, bounce rates, and complaint rates.

That said, content signals still matter. Piling up urgency, guarantees, exclamation marks, and misleading subject lines gives filters a cheap reason to route you to spam — especially on a new domain with no reputation to fall back on. A clean content pass is a floor, not a ceiling.

Why can a clean email still go to spam?

Content is only one deliverability factor. Others include:

  • Domain authentication — SPF, DKIM, and DMARC records must be set up correctly, or receiving servers can't verify you.
  • Sender reputation — how your domain and IP have behaved over time, measured by mailbox providers.
  • Sending volume and warm-up — new domains that suddenly send thousands of messages get throttled or spam-foldered.
  • List quality — high bounce rates and spam-trap hits tank your reputation quickly.
  • Recipient engagement — replies, opens, and manual "not spam" signals lift you; deletions and complaints push you down.
  • Complaint rate — even a small percentage of "mark as spam" reports can pull a whole domain into the spam folder.

How to reduce cold-email content risk

  1. Write to one person, not a segment. Use a specific opener, not "I hope this finds you well".
  2. Keep the body under 120 words with short paragraphs (under 80 words each).
  3. Ask one clear, low-friction question. Don't stack CTAs.
  4. Skip attachments and keep links to 0–1 in the first message.
  5. Replace absolutes ("guaranteed", "100%") with concrete numbers ("32% lift for teams like yours").
  6. Use honest subjects — 2 to 8 words, no fake Re: or Fwd:, no shouting caps.
  7. Include a soft opt-out line and a real sign-off with your name.
  8. Set up SPF, DKIM, and DMARC, and warm up any new sending domain for at least 2–4 weeks.

Frequently asked questions

Do you store my email content?+

No. The analysis runs entirely in your browser. Nothing is sent to a server, saved to a database, or logged in analytics.

Will a high score mean my email reaches the inbox?+

No. This is a content-only score. Inbox placement also depends on SPF, DKIM, DMARC, sender reputation, sending volume, list quality, and recipient engagement.

Does this replace testing with real mailboxes?+

No. It's a fast content sanity check. For actual placement testing, send seed emails from your real sending setup to a set of inboxes you monitor.

How do you decide what's a spam trigger?+

The dataset is a curated set of phrases well-known in the cold-email community, grouped by category and severity. It's rule-based, not AI, and lives in a single file you can extend.

Do you support non-English emails?+

The trigger dataset is English-only for now. Structural and statistical checks (length, links, CTAs, readability) work for any Latin-script text.

Need more than a content check?

A clean email is only one part of deliverability. Get help setting up domains, DNS authentication, sending inboxes, warm-up settings, campaign structure, and verified lead data.