Lead Outreach Agent
Free tool

Cold email spam checker

Paste a subject line and email body. This in-browser checklist flags common wording, link, formatting, and merge-tag patterns to review. It does not predict spam filtering or inbox placement, and nothing is sent or stored.

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

Review common email patterns

Paste the subject and body. This local checklist flags wording, links, formatting, and merge tags to review. It does not predict mailbox filtering or inbox placement.

This tool answers Which common email patterns should I review?
Your result will appear here.

Keep in mind: This text checklist does not predict mailbox filtering or inbox placement.

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 checklist checks

The tool counts visible patterns that can make a draft look promotional or automated. It is a fixed checklist, not a connection to mailbox providers' filters, so it cannot predict inbox placement. It checks spam-trigger phrases, link count, ALL-CAPS, punctuation, leftover merge tags, dollar amounts, and subjects that fake a reply thread.

Common patterns to review

These patterns can make a draft feel generic or overly promotional. A leftover merge tag, such as "{{FirstName}}", tells the reader the message was not personalized. This checklist flags visible text patterns; it does not test mailbox filters.

  • 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 checklist cannot tell you

No flags means the listed patterns were not found in the text you pasted. It does not tell you how mailbox providers will classify the message, whether it is relevant to the recipient, whether the contact detail is current, or whether you have a lawful basis to send. Inbox placement also depends on domain reputation, authentication (SPF, DKIM, DMARC), and sending volume.

FAQ

Questions people ask before using this

What does the cold email pattern checker look for?

It flags phrases, links, ALL-CAPS, excess punctuation, unreplaced merge tags, dollar amounts, and fake reply subjects. It reports checklist matches, not how a mailbox filter will score the email.

Does a clean checklist mean my email reaches the inbox?

No. It only reflects the text patterns checked here. Inbox placement also depends on your domain reputation, SPF/DKIM/DMARC authentication, list quality, and sending volume, which this tool 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]" shows the draft still has a placeholder. Replace it and preview the message so the reader does not see unfinished template text.

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.