Are Your Marketing Emails Getting Lost in Spam?

Use machine learning to analyze your marketing emails before you send them, helping you ensure they land where they belong: the inbox

Instant Feedback

Receive real-time analysis and feedback on your emails to prevent them from being marked as spam.

Advanced Algorithms

Our machine learning models evaluate various factors to predict spam likelihood with high accuracy.

Improve Deliverability

Optimize your email content and structure to enhance deliverability and engagement.

Easy to Use

Simply paste your email content into our tool and get instant insights and recommendations.

Take it for a Spin

Enter your Sender Email Address, Subject and Body to perform checks, then adjust accordingly to make sure your email will end up in inboxes.

Analysis

This analysis uses a limited model trained on publicly available data. You can use this tool as much as you want, for free. Better models are coming soon.
Sender Email Address
Ensure that your emails are delivered successfully and not marked as spam by Email Service Providers.
SPF
Specifies authorized mail servers for a domain, preventing email spoofing.
DKIM
Adds a digital signature to emails, ensuring they are authentic and untampered.
DMARC
Enforces SPF and DKIM policies, preventing spoofing and improving email security.
Subject
Ensure that your email subject line is effective and not marked as spam.
Spam Score
An assessment of the subject line's likelihood of being considered spam. A high spam score suggests that the subject line has characteristics commonly associated with spam emails, such as certain keywords, patterns, or formatting.
Match Ratio
Measures the degree of consistency between the subject line and the body content of the email. A high match ratio indicates that the subject line accurately represents the content of the email, which is generally a good sign of transparency and relevance.
Promotional Intensity
Evaluates the extent to which the subject is perceived as overly promotional or pushy. A higher score indicates a greater likelihood that the email subject might be viewed as excessively promotional, potentially leading to lower engagement or increased chances of being marked as spam by recipients.
Body
Ensure that the body of your email is clear and avoids being flagged as spam.
Spam Score
An assessment of the body's likelihood of being considered spam. A high spam score suggests that the body has characteristics commonly associated with spam emails, such as certain keywords, patterns, or formatting.
Promotional Intensity
Evaluates the extent to which the body is perceived as overly promotional or pushy. A higher score indicates a greater likelihood that the email content might be viewed as excessively promotional, potentially leading to lower engagement or increased chances of being marked as spam by recipients.
Spam Details
Spam Analysis highlights the most spammy parts of the email content to help you make improvements, but keep in mind that the overall context and structure of the email also influence the spam score.
Hi there! Congratulations! 🎉 You've been selected to receive an exclusive gift worth $500! This is a limited-time offer, and we're so excited to share it with you. 🎊 🚀 Act FAST! Here's what you need to do: 1. Click this link 👉 Claim Your Gift Now! 2. Fill out the quick form and enjoy your amazing FREE gift! 3. This offer is only available for the next 24 hours. Don't miss out on this incredible opportunity!!! Our team is thrilled to share this special gift with you. We know you're going to love it! ❤️ Thank you for being a valued member of our community. We appreciate your support! 🌟 Best wishes, The Awesome Deals Team 💼 P.S. Remember, this offer is extremely limited, so act now! 🚀 © 2024 Awesome Deals, Inc. All rights reserved.
Spam Words
Spam Words are terms and phrases commonly associated with spam emails. Aim to minimize the use of these words or replace them with more neutral alternatives.
Act Now
Amazing
Click
Congratulations
Deal
Form
Free
Free gift
Here
Member
Now
Offer
Only
Opportunity