Email campaigns are only as good as the data behind them.
Without access to clear, actionable email statistics, you're flying blind. You won't know if your open rates are competitive, which links drive engagement, or why contacts are bouncing. This costs agencies and businesses thousands in wasted ad spend and missed conversions.
GoHighLevel's Email Statistics feature solves this problem. It gives you a centralized dashboard to monitor delivery rates, engagement metrics, and conversion data—all in one place. Whether you're managing campaigns for a dental clinic, e-commerce brand, or B2B service, understanding these metrics is critical to scaling your results.
In this guide, I'll walk you through the Email Statistics Summary page, explain what each metric means, and show you how to use these insights to optimize future campaigns. Ready to take control of your email performance? Get a free 30-day trial of GoHighLevel (double the standard trial) and see why thousands of agencies run their entire business on one platform.
What Are Email Statistics in GoHighLevel?
Email Statistics in GoHighLevel is a comprehensive analytics dashboard that tracks the performance of every email campaign you send. It measures how many emails were delivered, opened, clicked, bounced, and unsubscribed—giving you a complete picture of engagement and performance.
This isn't just vanity metrics. These numbers directly correlate to revenue. A 5% increase in open rate or a 2% improvement in click-through rate can mean the difference between a profitable campaign and one that hemorrhages money.
For agency owners managing multiple client accounts, Email Statistics is indispensable. It allows you to:
- Monitor campaign performance across all clients in real-time
- Identify underperforming campaigns quickly
- Benchmark performance against industry standards
- Prove ROI to clients with concrete data
- Make data-driven decisions about list segmentation and messaging
How to Access the Email Statistics Summary Page
Accessing Email Statistics in GoHighLevel is straightforward, but knowing exactly where to look saves time.
Step 1: Log into your GoHighLevel account and navigate to the Campaigns module from the main sidebar.
Step 2: Select Email Campaigns (or navigate to any specific email campaign you want to analyze).
Step 3: Click on the campaign name to open its details page.
Step 4: Look for the Statistics or Stats tab at the top of the campaign. Click it to access the Summary page.
Once you're on the Summary page, you'll see an overview of your campaign's performance metrics displayed in an easy-to-read format. The data updates in real-time, so you can monitor performance as your campaign runs.
💡 Pro Tip
Set a recurring calendar reminder to check your Email Statistics at least twice weekly. This habit catches poor-performing campaigns early, allowing you to pause and pivot before losing more budget.
Understanding Key Email Metrics: Delivered, Opened, Clicked, Bounced & Unsubscribed
Each metric on the Summary page tells a different story about your campaign's health. Here's what each one means and why it matters.
Recipients (Total Contacts)
This is the total number of contacts you requested to send emails to. If you targeted 5,000 contacts, this number will show 5,000. It's your baseline—the denominator for calculating rates.
Delivered
The number of emails that were successfully delivered to the recipient's mailbox. Your email service provider (SMTP) confirmed delivery. This is not the same as "opened." A delivered email might end up in spam, unopened.
Industry benchmark: 95%+ delivery rate is considered healthy. Anything below 90% suggests list quality or sender reputation issues.
Opened
The number of recipients who opened your email. GoHighLevel tracks this using a tiny pixel embedded in each email. Opens are a key indicator of subject line effectiveness and sender reputation.
Industry benchmark: 15-25% open rates are typical across industries. E-commerce averages around 15%, B2B around 20%, and niche industries can push 30%+.
Clicked
The number of recipients who clicked a link in your email. This is your engagement metric—it shows who moved from passive reading to active interest. Clicks are closer to conversion intent than opens.
Industry benchmark: 2-5% click-through rates are solid. Anything above 5% indicates excellent content and targeting.
Bounced
The number of emails that failed to deliver. Hard bounces (invalid address) are permanent; soft bounces (mailbox full, server down) are temporary. High bounce rates hurt your sender reputation and should be investigated immediately.
Industry benchmark: Keep bounce rates below 2%. Above 5%, you have a list quality problem.
Unsubscribed
The number of recipients who clicked the unsubscribe link in your email. This is expected and healthy—it removes disengaged contacts from your list, improving future campaign performance.
Industry benchmark: 0.1-0.5% unsubscribe rate is normal. If you're seeing 1%+, your messaging or frequency may be off-target.
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How to Interpret Engagement Analysis Charts
Beyond the raw numbers, GoHighLevel's Email Statistics page includes visual charts that show engagement trends over time. These charts reveal patterns that raw data might hide.
Timeline Charts
These show opens, clicks, and other actions plotted against time. Most campaigns see a spike in opens within the first few hours, then taper off. If your campaign is flat-lined after 24 hours, it's likely flopped. Timeline charts help you decide when to send follow-up emails or retarget unengaged subscribers.
Performance Comparison Charts
If you've run multiple campaigns to similar audiences, these charts compare performance side-by-side. This is invaluable for A/B testing. Did changing the subject line move the needle? Did a new CTA copy improve clicks? The charts prove it.
Conversion Funnels
Some integrations (like Stripe or your shopping cart) will show conversion funnels in Email Statistics. This tracks not just engagement but actual revenue generated by the email campaign. This is the metric that matters most to business owners.
Using Conversion Data to Drive Results
Email Statistics isn't just about vanity metrics—it's about revenue. GoHighLevel can track conversions if your email campaigns are connected to sales funnels, order forms, or e-commerce integrations.
In the Statistics Summary, look for columns labeled "Orders," "Conversions," or "Revenue." These show:
- Cost Per Click: How much you spent (in ad budget) to drive each click from the email
- Cost Per Conversion: How much each sale cost to acquire via this campaign
- Return on Ad Spend (ROAS): For every dollar spent, how many dollars in revenue came back
If ROAS is below 3:1, the campaign isn't profitable. Below 2:1, it's bleeding money. This data tells you which segments, messaging, and campaigns to repeat and which to kill.
5 Optimization Strategies Based on Email Statistics
1. Segment by Engagement Level
Sort your contacts into engaged (opened or clicked last 3 campaigns) and disengaged (unopened for 5+ campaigns). Send different messaging to each group. Disengaged segments often need a re-engagement campaign or should be removed entirely.
2. Test Subject Lines Using Open Rate Data
Create two nearly identical campaigns with different subject lines. Compare open rates. The winner becomes your standard for future campaigns. Do this monthly to continuously improve open rates.
3. Optimize Send Time Based on Timeline Charts
Look at when your audience opens emails. If 70% of opens happen between 9-11am, schedule campaigns for 8:30am. If Thursday emails get 40% better opens than Tuesday emails, only send on Thursdays.
4. Reduce Bounce Rates by Cleaning Your List
Use GoHighLevel's automation to remove hard bounces automatically. Hard bounces are invalid addresses—keeping them just tanks your sender reputation. A clean list of 1,000 engaged contacts beats a bloated list of 10,000 with 8% bounce rates.
5. Track Click-to-Conversion Rates by CTA**
If your email has multiple links (two different CTAs), track which one gets more clicks. Move the higher-performing CTA above the fold in your next email. Small CTA placement changes can lift conversions by 10-20%.
Frequently Asked Questions
How often should I check my email statistics?
Check daily for the first 48 hours of a campaign launch. After that, 2-3 times per week is sufficient. This catches problems early without becoming obsessive. For evergreen automation campaigns, check weekly.
What's a good click-through rate for email campaigns?
2-5% is industry standard. Niche B2B campaigns often hit 5-8%. E-commerce averages around 2-3%. If you're below 2%, your CTA is weak, your offer isn't compelling, or you're targeting the wrong audience. Test and iterate.
Why are my delivery rates dropping?
Common culprits: (1) Poor list hygiene—remove invalid emails; (2) Sender reputation—check if your domain is on spam blacklists; (3) Authentication—ensure SPF, DKIM, and DMARC records are properly configured in GoHighLevel; (4) Email content—certain words trigger spam filters. Review your template language.
Should I re-mail contacts who didn't open?
Yes, but with a different angle. Send a follow-up 3-5 days later with a new subject line and slightly different messaging. Unopened segments often need a second chance with fresh copy. Just limit to 2-3 follow-ups to avoid spam complaints.
How do I improve open rates quickly?
Test these in order: (1) Send time—shift to when your audience is active; (2) Subject line—make it shorter (40 chars or less) and action-oriented; (3) Sender name—personalize with first name instead of company name; (4) List segmentation—send targeted messages to specific groups. A/B test one variable at a time.
Mastering Email Statistics in GoHighLevel is a skill that compounds. Each campaign teaches you something. Each data point refines your strategy. Within 30 days of analyzing these metrics intentionally, most agencies see 15-30% improvements in open and click rates.
The platform is built for this. The data is there. You just need to look at it, interpret it, and act on it. Start with your next campaign—set up proper tracking, monitor the statistics closely, and implement one optimization strategy from this guide. Measure the impact. Repeat.