Lead Outreach Agent
Free tool

Cold email spam checker

Paste your subject line and body. The checker scores spam risk from the words, links, formatting, and unreplaced merge tags that push cold email into the spam folder - everything runs in your browser, nothing is sent or stored.

Use the tool Start a real search
At a glance Free tool on this page This page includes an interactive tool near the top, plus a short explanation of when to use it.
  • Use the calculator or checker directly.
  • Read the short guardrails.
  • Open a real search when the setup makes sense.
Interactive tool

Score the draft for spam risk

Paste the subject and body. The checker scores spam risk and lists the exact triggers, links, and merge tags to fix - all in your browser.

This tool answers How likely is this email to look like spam?
Your result will appear here.

Keep in mind: A clean score checks the message text only - it cannot see your domain reputation or authentication.

Source-linked evidence

Research behind this page

Use these findings as context, not promised results. Each source includes its sample or method and the limitation that matters when applying it.

Gong Labs with 30MPC

How to master cold email

In its dataset, the top 10% of representatives generated 4.2 times as many replies and booked 8.1 times as many meetings as average representatives; emails with 51-100 words had the highest reply rate among the displayed length bands.

Method
Analysis of more than 85 million cold outbound emails, segmented by representative performance and message characteristics.
Use carefully
The public guide summarizes the analysis but does not publish a full sampling protocol, confidence intervals, or controls for account quality and sender reputation.
Read the original source
Belkins

B2B cold email response rates

Across 2025 campaigns, 34,393 replies from 7,530,489 sends produced a 0.45% reply rate; companies with 11-50 employees replied at 0.49% versus 0.22% for enterprises with 10,000 or more employees.

Method
First-party campaign analysis using unique replies divided by total emails sent, excluding auto-replies and bounce notifications.
Use carefully
The data comes from one provider's client campaigns and its stricter denominator is not directly comparable with reports that divide replies by opens or unique recipients.
Read the original source
Data standard Public contact routes

Results need a usable public email or phone number and enough source context for review.

Review context Source and match context

Each result includes context to help you check why the lead fits before outreach.

User control Editable outreach drafts

Drafts remain editable and should be reviewed for accuracy, relevance, and compliance before sending.

What the score measures

The checker looks at how your draft appears to a spam filter, not whether the message is true or relevant. It weighs spam-trigger phrases, the number of links, ALL-CAPS shouting, punctuation bursts, leftover merge tags, dollar amounts, and subjects that fake a reply thread. A high score means the mechanics are clean; the offer still has to be honest and specific.

The triggers that hurt deliverability most

A few patterns do the most damage, and they are all easy to fix once you can see them. The single worst tell is a leaked merge tag - a literal "{{FirstName}}" that never got replaced announces a bulk blast to both the reader and the filter.

  • Leftover merge tags like {{FirstName}} or [Company].
  • Spam-trigger phrases: "free", "guarantee", "act now", "limited time".
  • A fake "Re:" or "Fwd:" subject on a first-ever email.
  • Several links, ALL-CAPS words, or "!!!" in a short message.

What a clean score cannot tell you

Passing the checker means the message will not look like obvious spam. It does not prove the email is relevant to the recipient, that the contact detail is current, or that you have a lawful basis to send. Deliverability also depends on your domain reputation, authentication (SPF, DKIM, DMARC), and sending volume - none of which live inside the message text. Treat a low-risk score as permission to focus on the offer, not as a guarantee of the inbox.

FAQ

Questions people ask before using this

What does the cold email spam checker look for?

Spam-trigger words, link count, ALL-CAPS, excessive punctuation, unreplaced merge tags, promotional dollar amounts, and subjects that fake a reply thread. It scores how the draft looks to a filter, not whether the claim is true.

Does a good score guarantee my email reaches the inbox?

No. The score only reflects the message text. Actual deliverability also depends on your domain reputation, SPF/DKIM/DMARC authentication, list quality, and sending volume, which the checker cannot see.

Is my email sent or stored anywhere?

No. The check runs entirely in your browser. Nothing you paste is uploaded, logged, or stored, so you can safely test a real draft.

Why is a leftover merge tag such a big deal?

A literal "{{FirstName}}" or "[Company]" that never got replaced is the clearest possible signal that the email is an untargeted bulk send - it damages trust with the reader and reply rates at the same time.

What is the best next step after reading this page?

Start with one narrow search, review the contactability and match reasons, then use the related tools or benchmark pages to decide whether the niche is worth scaling.

Next reading

Related resources

Cold email template generator Free generator for a concise first cold email, one specific opener and one clear ask, for agencies, founders, creators, and local outreach. Edit, then send. Cold email subject line generator Free generator for short, specific cold email subject lines that earn opens without clickbait, built from your niche and offer. Copy, edit, and send. Cold Outreach Legal Basics Outreach rules depend on country, audience, and channel. Build opt-out handling, truthful sender details, and suppression lists before scaling. Outbound sales research worth using carefully A source-linked review of prospecting time, cold email, cold calling, personalization, and B2B buyer research, every stat with its method and its limitation.