Mailtrack for Gmail – Open Rate Tracker
Calculate open rates, reply rates, and engagement metrics for your email campaigns
Tracking Configuration
The Gmail account you’ll track
Average number of tracked emails sent daily
Higher levels provide more detailed engagement metrics
Affects expected open and reply rates
For monthly projection calculations
Email Tracking Analytics
–
Monthly Emails
–
Expected Opens
–
Expected Replies
–
Monthly Cost
Engagement Funnel
Open Rate:
–
Click-Through Rate:
–
Reply Rate:
–
Cost per Opened Email:
–
Mailtrack Setup Instructions
- Install Mailtrack extension from Chrome Web Store
- Click “Sign in with Google” and authorize your Gmail account
- Compose a new email in Gmail – you’ll see a double checkmark icon
- Send email normally – tracking is automatic (single ✓ = sent, double ✓✓ = opened)
- View detailed analytics in Mailtrack dashboard: click extension icon > “View Stats”
- Set up real-time notifications: Settings > Notifications > Enable browser alerts
Frequently Asked Questions
How does Mailtrack tracking work technically?
+
Mailtrack embeds a 1×1 pixel transparent image in your emails. When the recipient opens the email, their email client downloads the image from Mailtrack’s servers, triggering an “opened” event. Limitations: 1) Image blocking disables tracking, 2) Gmail’s image proxy can cause false positives, 3) Opens != reads (recipient might preview without reading). Accuracy: ~85-90% for opens, 95%+ for clicks.
Is email tracking legal under GDPR and CAN-SPAM?
+
Yes, with caveats. GDPR: Email tracking is allowed under legitimate interest (Article 6(1)(f)) for B2B communications, but you must disclose it in your privacy policy and honor opt-outs. CAN-SPAM: No specific prohibition, but tracking pixels must not mislead recipients. Best practice: Include “This email may contain tracking pixels” in your signature or privacy policy footer.
Why are my open rates different from industry benchmarks?
+
Industry benchmarks: Cold email (15-25%), Warm outreach (30-40%), Newsletters (20-30%). Factors affecting YOUR rates: 1) Subject line quality, 2) Sender reputation, 3) List quality (old lists = lower opens), 4) Send timing, 5) Email client (Apple Mail Privacy Protection blocks tracking). If open rates are <10%, check spam folder placement and sender authentication (SPF, DKIM, DMARC).
Can recipients tell if I’m tracking their emails?
+
Sophisticated users can detect tracking pixels by: 1) Inspecting email HTML source, 2) Using extensions like PixelBlock or Ugly Email, 3) Noticing external image requests in email headers. Some professionals consider tracking invasive, especially in personal communication. Recommendation: Only track business emails, disclose tracking in your signature, and never use tracking data unethically (e.g., confronting someone about not opening your email).
Mailtrack vs Yesware vs Mixmax: Which is best?
+
Mailtrack: Best for simple Gmail tracking, cheapest ($0-$9.99), no CRM. Yesware: Mid-tier ($15-$65), includes templates, scheduling, Salesforce integration. Mixmax: Enterprise ($29-$69), sequences, meeting scheduling, workflows. Choose Mailtrack for: freelancers, solopreneurs, basic tracking needs. Choose Yesware/Mixmax for: sales teams, CRM integration, multi-touch campaigns. Mailtrack has 4M+ users, most popular for simplicity.
Related Articles
Email Open Rate Optimization: 15 Subject Line Formulas
Double your open rates with proven subject line frameworks. Includes A/B testing results from 10,000+ cold emails, power words, curiosity gaps, and personalization tactics that work in 2026.
Read more →Gmail Tracking Extensions: Privacy & Security Comparison
We audited 8 popular tracking extensions for data privacy, security vulnerabilities, and GDPR compliance. See which tools respect user data and which ones sell your email content to advertisers.
Read more →Cold Email Analytics: Beyond Open Rates & Reply Rates
Track engagement depth, read time, forwarding behavior, and intent signals. Learn how to use advanced metrics to identify hot leads, optimize follow-up timing, and predict conversion likelihood.
Read more →