How to Track and Improve GoHighLevel Email Campaign Results

In-article diagram: Decision path for finding the weakest stage of a GoHighLevel email campaign.

How Do I Track Email Campaign Performance in GoHighLevel?

Start with where each kind of email reports, because they do not share one screen.

Sources: HighLevel Email Statistics(9 February 2026) and the dashboard page (9 September 2026). The first writes the location as Marketing > Emails and the second as Marketing > Emails > Statistics. Your account's labels are the ones to trust.

Where can I see email campaign statistics in GoHighLevel?

The Statistics page is a dashboard with a source dropdown at the top left (All Campaigns, Email Campaigns, Workflow Campaigns, Bulk Action Campaigns). Performance Analysis lets you compare those sources in the current view. HighLevel's pages do not describe comparing against an earlier period, so for before-and-after questions, export and compare yourself. A "Try Sample Data" option shows demonstration values, so do not mistake them for your own.

Where can I find workflow email performance data?

Workflow email statistics live on each Email action, not on the campaign dashboard. In the dashboard they are grouped as Workflow Campaigns, where Top Performing Emails reports each email action separately. If a workflow email looks missing from your campaign numbers, that is by design: it is a different report.

Can I see which contacts opened or clicked an email?

Yes, in two ways, and one has a limit.

• From a campaign's Statistics: open the three-dot menu on a sent campaign, choose Statistics, then Load More, pick an interaction category (Opened and Clicked are the ones named), select contacts or All, and choose Add Tags (HighLevel's tagging page). Tags let you build a follow-up audience. Auto-tagging applies only to future interactions, so past engagers need manual tagging.
• From Email Analytics: Settings, then Email Services, then Email Analytics. It shows metric boxes (Sent, Delivered, Opened, Clicked, Complained, Bounced, Unsubscribed, Failed). Set a date range, pick a source type (Campaign, Workflow or Bulk Request), choose a source name (required, or no results appear), then click a metric to see the contacts (HighLevel's filtering page). HighLevel says this is available for LC Email sub-accounts only.

Two limits to know. HighLevel says only Mailgun gives full visibility into key metrics and other SMTP providers may show only opens and clicks. It also says opened and clicked data may be incomplete or missing if open or link tracking is disabled. If your numbers look oddly empty, check those two things first. I did not find a HighLevel page describing a link-by-link click report, so I do not claim one.

Can I export GoHighLevel email reports?

Yes. From Marketing, Emails, Statistics, choose the type (All Campaigns, Email Marketing Campaigns Only, Workflows Only at the individual email action level, or Bulk Actions Only), pick the date range and click Export. Enter the email address that should receive the file. HighLevel sends a download link for a CSV that stays valid for 30 days (export page, 21 September 2026). The page does not list every column, so open one export before you build a reporting routine around it.

What Do My GoHighLevel Email Metrics Mean?

Each metric answers one question. Used together they show where people drop out between "we sent it" and "they did what we hoped." The table marks which values HighLevel reports and which you calculate.

What is the difference between sent and delivered emails?

Sent means HighLevel tried. Delivered means the recipient's server accepted the message. Neither means inbox. A delivered email can still land in spam or another tab, so look at delivery before you judge engagement: a low open rate on a campaign with a weak delivery rate is a deliverability problem, not a subject line problem. The bulk view also shows Total Attempts, which HighLevel does not define on the pages I read. If bounces or complaints look high, (Planned link, not yet published: how to stop emails going to spam and improve inbox placement) covers what to do.

What is the difference between click rate and click-to-open rate?

Click rate (often called click-through rate) divides clicks by a total, usually delivered emails. Click-to-open rate divides clicks by opens. The first tells you how the campaign did overall. The second tells you how the content did among people who opened, which is why it is useful for judging the message separately from the subject line.

Here is the catch. HighLevel does not publish a formula or denominator for its rates, and I could not confirm that click-to-open is a native field. If you want it, calculate it yourself from unique clickers and unique openers, and use the same method every time. Because opens can be inflated (see the next section), treat click-to-open as a comparison between your own sends, not a score.

Which email metrics should I track for my campaign goal?

Are Email Open Rates Accurate?

Not precisely, and not in one direction. An open is recorded when a tiny tracking image loads. That can happen without a person reading the email, and a person can read it without the image loading. So treat opens as a directional signal, useful for comparing one subject line with another, and never as proof that someone read your message. This does not make open rate useless. It makes it a weaker measure than it looks.

How does Apple Mail Privacy Protection affect open rates?

Apple says Mail Privacy Protection hides the recipient's IP address and "prevents senders from seeing if you've opened the email message" (Apple Support). Email vendors explain the effect on your numbers: Apple's feature can load images, including tracking images, without the person opening the email, so opens are recorded that no human triggered (Customer.io, Bird). The result is that reported opens can run higher than real ones, especially for contacts using Apple's Mail app.

HighLevel's pages I read do not say whether it filters these machine opens, so assume it may not. I also have no figure for how much of your list this touches, and neither does anyone who has not looked at your audience. What you can do: compare like with like (the same audience and timing), look at clicks and outcomes, and avoid removing contacts just because they "never opened."

Can bots and security scanners inflate click rates?

Yes, they can. Security tools and spam filters often follow the links in an email to check them, and a tracking system can record that as a click. Vendors describe a few signs: clicks within seconds of delivery, several different links clicked almost at once, and clicks recorded for people who never opened (Customer.io, Mailmodo). These are vendor observations, not data from HighLevel, and an unusual click is not automatically a bot.

How much of this you can check depends on what your report shows. The pages I read do not document per-click timestamps or sources, so what you can realistically do is look at the pattern: a campaign where clicks spike with no matching rise in form submissions, bookings or page visits deserves a second look. Use unique clicks and the outcome on your landing page as the tiebreaker.

What should I measure instead of open rate?

Whichever result the campaign exists to produce: a booking, a form submission, a purchase, a reply, a qualified lead, or revenue. Clicks are a middle step. Replies are often a stronger signal than opens (Bird and Customer.io both recommend moving toward clicks, replies and conversions). Open rate still has a role: as a relative comparison between two subject lines sent at the same time to similar audiences, and as a clue that something is wrong when it suddenly drops.

What is a good email open rate and click rate?

There is no number I can give you that is both reliable and useful. The benchmark pages I found disagree with each other, mix industries and list types, and are mostly published by vendors and aggregators, and open rates have been unreliable since privacy features began inflating them. A better answer is to build your own baseline. Take your last five to ten comparable sends (same audience type, same kind of email), record delivery, unique clicks and your outcome for each, and call the typical range your normal. A good result is one that beats your normal for that kind of campaign and produces the outcome you wanted.

For delivery health, HighLevel's own guidance (covered in (Planned link, not yet published: how to stop emails going to spam and improve inbox placement)) gives targets for delivered mail, hard bounces and complaints. Those are guidelines, not rules.

Why Are People Opening My Emails but Not Clicking?

First rule out the measurement. Some of those opens may be machine opens, and some clicks may be missed, so check that link tracking is on and the links work. Then look at the message. Work down this table and stop at the first row that fits.

How Do I Improve Email Engagement in GoHighLevel?

Use the flow below to find the weakest stage first. Improving everything at once is how teams lose track of what worked.

How can I increase email open rates?

Opens depend mostly on what the recipient sees before opening: who it is from, the subject line and the preview text, plus whether they expect to hear from you. No subject line overcomes poor sender reputation or a list that did not ask for your email.

• Sender name: use a name people recognize, ideally a person or brand they signed up with.
• Subject line: state the specific benefit or topic. Avoid vague teasers that the opening paragraph cannot pay off.
• Preview text: treat it as a second subject line. Be aware that I did not find HighLevel documentation that lets you test it.
• Audience expectations: send what the signup promised.
• Timing and frequency: consistent sending is easier on recipients than bursts. Test timing against your own history before copying anyone's rule.

How can I improve email click-through rates?

Clicks reward clarity. Give the email one job, say what the click will give the reader, and make the link easy to find and tap.

These are illustrative wordings, not tested results. Also match the email to the page it leads to: if the email promises a price list and the page opens with a long story, the click is wasted.

How does segmentation improve email engagement?

The same email to everyone treats a new lead, a past client and a cold contact as one person. In a campaign, open the send step, and under Recipient choose Build Segments. HighLevel says segments can filter on tags, contact fields, email activity and engagement, and you can combine conditions with AND and OR, then save the segment to reuse it (HighLevel segments page, 2 October 2026). A segment can also reference a pre-built segment such as contacts engaged in the last seven days. Smart Lists are a separate feature managed in Contacts.

Start simple: two or three segments built on something you already track, such as service interest, customer stage, or whether they clicked in the last campaign. Segments built from tags you assign after campaigns (for example, tagging clickers) are a practical way to separate the engaged from the quiet.

How often should I send marketing emails?

No universal frequency fits every list. What matters is that frequency matches what people expected when they joined, and that quiet contacts are not hammered. HighLevel's spam guidance (Why Are My Emails Going To Spam?) suggests sending more often to newly opted-in contacts for a short period, slowing down if they do not engage after a week or two, and stopping if there is still no engagement after more than two months of weekly sends. If a segment stops responding, reduce its frequency rather than continuing to send, since low engagement can also hurt future inbox placement (more in (Planned link, not yet published: how to stop emails going to spam and improve inbox placement)).

Can I A/B Test Emails in GoHighLevel?

Yes, in two ways, and they measure different things.

Sources: setup page (30 September 2026), A/B page (9 October 2026), Email AI page (27 October 2026) and workflow A/B Test page (27 October 2026). The workflow action is newer than the idea-board thread (thread) that was still describing it as planned in August 2026, so confirm it appears in your account before you rely on it. The older Split action sends contacts down random paths with percentages that must total 100, up to five paths, which can also be used for tests but does not pick a winner for you.

How do I A/B test email subject lines in GoHighLevel?

1. Go to Marketing, Email, Campaigns and open your campaign.
2. In the Email Builder, open the A/B testing tab and turn on Enable A/B testing.
3. Choose Email Subject as the test type.
4. Set the test duration. HighLevel's pages give a range of 30 minutes to 24 hours.
5. Choose the number of variations, up to six, and write the subject lines. Content AI can draft alternatives.
6. Use the Test Size slider to set how much of the audience joins the test. The rest receive the winner.
7. Choose the winning criterion. HighLevel's page recommends Unique Open Rate for subject line tests.
8. Save, then use Send or Schedule.

Know before you start: the campaign needs enough contacts. HighLevel's setup page says at least 40, while the changelog and Email AI page say at least 10 per variation, so check what your account allows. If the chosen metric records no result during the test, HighLevel's documentation says the first variation wins, which means a test on a tiny list can "pick" a winner with no evidence. Open rate as a criterion is also exposed to the machine opens described earlier. If you want a safer signal, a click-based test on an email whose goal is a click is harder to inflate.

Can I A/B test email content, or run a test inside a workflow?

For a campaign, choose Email Content as the test type. HighLevel's page says this covers changes such as images, buttons or copy, and recommends Unique Click Rate as the criterion. Subject and content cannot be tested in the same test. I found no HighLevel page that lists sender name or preview text as testable, so do not plan a test around them unless you see the option in your account.

For a workflow, the A/B Test action splits contacts across paths and measures a conversion you define, which makes it the better fit when the real goal is a booking or a purchase. Contacts are distributed evenly, and HighLevel notes counts can vary with few contacts. Use Declare winner in Statistics to end it early, and Reset test to start again, which clears previous results.

What should I test in an email campaign?

Test one thing at a time, because if you change the subject, the opening and the button together you will not know which caused the difference. A reasonable order is the item closest to your weakest metric: subject line or sender name for opens, the call to action or the number of links for clicks, and the offer or landing page for outcomes. Remember what HighLevel's native campaign test can change (subject or content) and what you would have to test by hand (sender name, preview text, send time).

How do I design an email A/B test?

1. Identify the problem. For example, a promotional email gets opens but few clicks.
2. Write a hypothesis. "A subject line that names a specific benefit will earn more clicks than a generic promotional subject."
3. Pick one variable. The subject line.
4. Create version A and B. A: "Our spring sale is here." B: "Cut your reporting time with these three templates." (Hypothetical.)
5. Keep conditions comparable. Same audience type, same send window, same content.
6. Choose the deciding metric before sending. Unique clicks, because the goal is a click.
7. Set the split and the duration. Based on your list size and how quickly your audience usually responds.
8. Collect the results. Do not stop the moment one version leads.
9. Compare. Look at the difference and at how big your audience was.
10. Decide whether the evidence is strong enough to act on. If not, run it again or treat the result as a hint.

These are examples to illustrate test design. They are not HighLevel test results.

How large should an email A/B test sample be?

HighLevel sets a minimum so a test can run. That minimum is not a promise that the result means anything. Small audiences produce noisy results, and a small gap between versions can easily be chance. Here is a hypothetical example with the arithmetic shown, using a standard two-proportion comparison of open rates.

Assumptions: the same three-point gap in every row, a two-sided comparison and a pooled estimate. I calculated these myself. They are illustrations of how sample size changes confidence, not data from any account, and they apply to opens, which carry the measurement problems described earlier.

Published rules of thumb disagree. Customer.io suggests at least 500 recipients per variation (Customer.io). A HubSpot article's example needs about 20,000 per variation, because it assumes a 2 percent baseline rate and a 20 percent relative lift (HubSpot). The gap is the point: the right size depends on your baseline and the size of the difference you care about. If your list is small, HubSpot suggests running the same kind of test over several sends and combining what you learn. Only call a result reliable when a calculator or the numbers support it.

How long should an email A/B test run?

Long enough for most of your audience's responses to arrive, and no longer than the campaign's timing allows. HighLevel's campaign test accepts 30 minutes to 24 hours. Opens arrive faster than clicks, and clicks arrive faster than purchases, so a short window can favor whichever version simply got opened sooner. HubSpot's article says most results arrive in the first 24 hours in typical cases and suggests checking this against your own past sends, with slower audiences needing 48 or 72 hours. A campaign test cannot exceed 24 hours in HighLevel, so if your audience is slow, a workflow A/B Test with a longer window may fit better. There is no universal duration.

How do I know which email version performed better?

Start with the goal you set before sending. A subject line that wins on opens has won on opens, not on business value. More clicks do not always mean more bookings. Where the outcome matters, compare the outcome. Then check three things: was the audience large enough to trust the gap, did the winner hold up outside the test group, and does the result make sense? If the winner leads by a small margin on a small list, treat it as a hint and repeat the test. HighLevel's own page says A/B testing does not guarantee higher opens or clicks, since results depend on audience relevance, content, deliverability and engagement.

How Do I Use Campaign Data to Improve My Next Email?

This is the loop that ties the sections together. Run it after every campaign, not just the big ones.

1. Review the results. Open the campaign's report (see the tracking section) and note delivery, bounces, unique clicks and the outcome.
2. Find the weakest stage. Follow the flow from delivery to opens to clicks to outcome. Compare with your own recent sends.
3. Investigate why. Think about audience, subject line, message, call to action, timing, frequency and the tracking limits above.
4. Choose one change. Pick the change most likely to fix that stage.
5. Test it. Use the campaign A/B test or a workflow A/B Test where it fits, or send two comparable campaigns by hand and say honestly that it was a manual comparison.
6. Review the outcome. Compare the right metric, allow for audience size and measurement limits.
7. Apply it. Use what you learned next time, and note it in a running log so the result does not live only in someone's head.

A manual comparison is not the same as the native test. Two separate sends may differ in timing, audience and external factors, so keep what you can the same and treat the result as weaker evidence.

Frequently Asked Questions

What Should I Do Next?

Open your most recent campaign's statistics and answer one question: where did most people drop out? Pick one change for that stage, write the hypothesis in a sentence, and test it on your next send. If the drop is at delivery, start with (Planned link, not yet published: how to stop emails going to spam and improve inbox placement) and then come back. If you have not set up sending yet, (Planned link, not yet published: the complete GoHighLevel email setup checklist) covers the foundation.

GHL Scale Up Team

GoHighLevel expert agency · 5+ years GHL experience · 200+ systems built globally

Prepared 4 November 2026. HighLevel help pages and idea board read 4 November 2026. Nothing here was tested in a live HighLevel account, menu names can change, and HighLevel's pages disagree in a few places (the disagreements are shown). No percentage in this guide is a benchmark or a promise. The numbers you compare against should be your own past campaigns.

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