You've sent hundreds of emails through GoHighLevel, but do you actually know how they're performing? Without understanding your email statistics, you're flying blind—wasting budget on campaigns that aren't converting and missing opportunities to optimize what works. Whether you're running client campaigns as an agency or managing your own business, learning to read email statistics in GoHighLevel is non-negotiable for improving ROI and scaling your email marketing strategy. In this guide, I'll walk you through every metric that matters, how to access your campaign data, and how to use these insights to make smarter decisions. Ready to unlock the full power of your email campaigns? Start with a free 30-day trial of GoHighLevel and start tracking campaign performance today.
How to Access Email Statistics in GoHighLevel
Finding your email statistics is straightforward, but knowing where to look is the first step. In GoHighLevel, there are two main pathways to access your data: through email campaigns and through workflows that contain emails.
For Email Campaigns: Navigate to the Marketing menu, then select Emails. This takes you to your Email Campaigns dashboard where all your one-time and scheduled emails are listed. Find the campaign you want to analyze, click the Actions dropdown menu, and select Statistics
For Emails Within Workflows: If your email is part of an automation workflow, navigate to Automations, open your workflow, locate the email action, and access statistics the same way—through the Actions dropdown. This is critical for agencies managing multi-step nurture sequences or automation funnels for clients. Once you're in the Statistics view, you'll see two main sections: the Engagement Summary graph at the top, and detailed metrics below. The interface is designed for quick scanning, so you can see at a glance whether your campaign is performing above or below expectations. Delivery is the foundation of all email marketing. If your emails aren't reaching inboxes, nothing else matters. GoHighLevel breaks delivery down into three critical categories: Delivered: This is the number of emails successfully sent to your recipients' mail servers. A high delivery count with few bounces indicates a healthy email list and good sender reputation. If you're seeing low delivery numbers, investigate whether your contacts list contains invalid emails or if there are authentication issues (SPF, DKIM, DMARC records). Bounced: Bounces happen when an email can't be delivered. GoHighLevel typically shows total bounces, which includes both hard bounces (invalid addresses, domain doesn't exist) and soft bounces (mailbox full, server temporarily unavailable). A bounce rate above 5% is a red flag—it means your list quality needs attention. Agencies should regularly clean client lists and implement double opt-in processes to minimize bounces. Unsubscribed: This metric tracks contacts who clicked the unsubscribe link. While unsubscribes are expected, a spike in unsubscribes can indicate your email content, frequency, or list segmentation needs adjustment. Use this as a signal to review your messaging strategy. 💡 Pro Tip Keep your bounce rate below 3% by implementing list validation before sending campaigns. GoHighLevel integrates with email validation services—use them. Your deliverability and sender reputation depend on it. Open rates tell you whether your subject lines and sender name are compelling enough to get people to click. This is where engagement truly begins. GoHighLevel displays both the raw number of opens and your open rate percentage. A good open rate varies by industry, but generally ranges from 15-25% for cold outreach and 20-40% for warm lists. If you're seeing single-digit open rates, your subject lines need work. Test different approaches: urgency, curiosity, personalization, and benefit-driven language all perform differently depending on your audience. The Engagement Summary chart visualizes opens over time, showing you when your audience is most likely to engage. If you see opens spike at certain times, that's your ideal send window—schedule future campaigns accordingly. For agencies managing multiple clients, compare open rates across campaigns to identify patterns. Are B2B campaigns opening slower than B2C? Are certain industries performing better? These insights help you refine strategy across your entire client portfolio. This is built into GoHighLevel.
Try it free for 30 days → Click-through rate (CTR) is where the rubber meets the road. Opens are nice, but clicks mean people are actually interested enough to take action. GoHighLevel shows both the number of clicks and your CTR percentage. CTR is typically 2-5% for most campaigns, though high-performing campaigns can reach 10%+. A low CTR despite high opens means your call-to-action (CTA) isn't compelling, the link is hard to find, or your offer isn't relevant to your audience. Review your email copy and CTA placement—test different copy variations in future sends. Beyond just clicks, GoHighLevel allows you to track conversion data if you've integrated conversion tracking. This bridges the gap between email engagement and actual business results. If you see high clicks but low conversions, your landing page or offer needs optimization—not your email. For agencies, CTR is a crucial metric to report to clients. It directly correlates to ROI and gives you concrete data to justify your email marketing strategy. The Engagement Summary chart at the top of your statistics view is the executive summary of your campaign performance. It shows delivery, opens, and clicks side-by-side in an easy-to-read visual format. Use this chart to quickly identify: The beauty of this chart is that you can see performance patterns at a glance without getting lost in numbers. This is especially valuable when you're reporting to clients or making quick campaign adjustments. Reading statistics is only valuable if you act on them. Here's how to translate data into optimization: Low delivery: Check your sender reputation. Review authentication records. Segment your list and remove inactive addresses. Test sending to smaller groups first. Low open rates: A/B test subject lines. Try personalization tokens (first name, company). Experiment with send times. Test different sender names. Review whether your audience is actually interested in your offer. Low click rates: Simplify your CTA. Use contrasting colors and clear language. Test link placement (above fold vs. below). Ensure your offer aligns with email content. Reduce overall email length—people are reading but not convinced. High unsubscribes: Review email frequency—you may be sending too often. Reassess list segmentation. Ensure you're sending relevant content to the right segments. Check whether you honored previous engagement preferences. The key is to test one variable at a time and compare performance across campaigns. Over weeks and months, this systematic optimization compounds into significantly better results.Understanding Delivery and Bounce Metrics
Analyzing Open Rates and Engagement Performance
Reading Click-Through Rates and Conversion Data
Using the Engagement Summary Chart for Quick Wins
Optimizing Campaigns Based on Your Statistics