How to Detect Security Gateway Clicks in Email Analytics

Why Email Analytics Overestimate Engagement

You click a link in your email, and it registers as a “click” in your analytics. But what if that click wasn’t from you? What if it came from a security gateway filtering malicious traffic before it ever reached your inbox?

Security gateways block automated bots and known threats before they reach your inbox. But their clicks still appear in email analytics tools, inflating CTRs and masking real user behavior. These aren’t real engagements—just bot-like activity that skews your data.

Without filtering, you’re basing campaign strategy on false positives. That means you’re optimizing for noise, not actual engagement.

Key takeaways

• Security gateways block malicious traffic before it reaches the inbox, but their clicks still register in standard email analytics.
• Clicks from security proxies or filtering systems don’t represent genuine human engagement, yet they inflate CTR and distort performance reports.
• Without filtering out gateway clicks, email campaigns are optimized based on false data, leading to poor decisions on audience targeting and content strategy.

What Are Security Gateway Clicks?

Security gateway clicks happen when an organization’s email security system automatically follows links in an email to check for threats—before you even open it. These systems scan external URLs by loading them in a sandbox, triggering tracking pixels and counting as a click in your analytics. This means a high click rate might not reflect real user interest, especially if you're targeting enterprise audiences.

How Security Gateways Work Behind the Scenes

Many companies use email security gateways like Microsoft Defender for Office 365 or Cisco IronPort to inspect incoming messages. These systems don’t wait for you to click. Instead, they follow every link in real time to assess whether it leads to malware, phishing, or other risks. This process is done silently, and the gateway acts as a “first responder” before the message reaches your inbox.

Because these gateways load links exactly like a browser would, they trigger any embedded tracking pixels or analytics scripts. That’s why you’ll see a click appear in your email tool—even if the recipient never touched the email. This is common across large organizations, where automated scanning is standard practice.

For example, CIS Controls recommend that organizations inspect outbound and inbound web traffic for malicious payloads—this includes embedded links in email. That kind of security posture inherently generates false positives in analytics.

Why This Skews Your Click Metrics

When security gateways trigger clicks, they inflate your engagement numbers without any human interaction. If you're measuring conversion rates or campaign success, this skews results—especially if your audience is in regulated industries like finance, healthcare, or government, where email filtering is strict.

Let’s say your open rate is 40% but your click rate is 35%. If a significant portion of those clicks are coming from gateways, your real user engagement is lower than it seems. You might think your content is viral, when it’s just being scanned by a firewall.

Use tools like MailTester’s inbox placement tester to simulate how your email lands across major providers, including security-heavy environments. It helps you see not just whether your content is delivered, but how your links are being handled under real-world conditions.

How to Detect Security Gateway Clicks in Email Analytics

You can detect security gateway clicks in email analytics by identifying clicks that lack typical user behavior—like no scroll, no time-on-page, or interaction with content. These clicks often originate from known proxy ranges (AWS, Google Cloud, Akamai) and repeat across multiple domains from the same IP. Tools like MailTester’s inbox placement and bulk verification can flag such anomalies early. This helps you filter out false engagement and improve campaign accuracy.

Look for behavioral red flags

• Check for high-click volumes with zero scroll depth or time-on-page—this suggests automation, not real users.
• Look for clicks on landing pages that aren’t engaged with; if users click but don’t navigate or stay, it’s likely a gateway filtering clicks before delivery.
• Watch for spikes in engagement during off-hours or low-traffic windows, which are common with automated security gateways scanning for threats.

Verify IP and domain patterns

• Use tools like MxToolbox or IPdeny to cross-reference click IPs against known cloud or corporate proxy ranges.
• Check if the same IP repeatedly clicks on different domains—this is a telltale sign of a security gateway, not a human.
• Filter out traffic from known infrastructure providers (AWS, Google Cloud, Akamai) when analyzing engagement; they often host security scanners.
• Compare domain-level click patterns across campaigns—consistent clicks from one IP across unrelated domains suggest a proxy, not an individual.

Security gateways aren’t always malicious, but they distort engagement metrics. Identifying them preserves campaign integrity.

Once identified, exclude these clicks from performance reporting. This ensures your deliverability data reflects real user interest. For a deeper audit, use MailTester’s inbox placement tester to simulate how your message lands in real inboxes—without the filter noise. You can also integrate MailTester’s real-time verification API to clean your list before send, catching known proxy emails early. With this approach, your analytics reflect real engagement—not filtered signals.

Link Tracking Is Not Reliable for Detecting Gateway Clicks

Standard link trackers—like UTM parameters or pixel-based tracking—can’t tell if a click came from a human or an automated security gateway. Gateways process links silently, execute redirects, and trigger tracking without any real user interaction. That means every gateway click shows up as a valid click, inflating your metrics with non-human traffic.

How Gateways Bypass Traditional Tracking

When an email link is clicked, a security gateway (like those used in enterprise email filtering) may intercept the request before it reaches you. It evaluates the destination URL, checks for known threats, and sometimes redirects or blocks the link—without ever opening a browser session. Since no real user is involved, the tracking pixel or UTM tag fires based on the gateway’s internal request, not on actual engagement.

This creates a blind spot. Your analytics tool sees a click, records a conversion, and assumes engagement. But the person didn’t interact—the system did.

Why This Skews Your Metrics

Even if your email has a 60% open rate and a 20% click-through rate, those numbers could be inflated by hundreds or thousands of gateway clicks. This is especially common in enterprise environments where security gateways are standard.

According to HTTP RFC 7231, redirects are designed to be processed automatically by clients—including automated systems. That means if your link is routed through a gateway, the redirect will be executed without any user action. Tracking systems have no way to filter this out—unless they’re designed specifically for it.

Let’s be clear: a click isn’t a conversion if no one actually clicked. Relying on raw click counts leads to poor decisions about content, timing, or segmentation.

Instead of guessing, verify. Use tools that evaluate the underlying email address health—not just whether a link was opened. MailTester’s bulk verification check helps identify inactive, invalid, or high-risk addresses before they waste your send budget. Real-time verification via the API ensures your data stays clean at scale.

Even better: test inbox placement with inbox testing to see how your message lands—whether in a user’s inbox, spam folder, or blocked by a gateway. A clean list and strong deliverability are the real foundations of engagement.

How Email Verification Helps Identify Gateway Traffic

Validating email addresses before sending reduces false positive clicks from security gateways, disposable inboxes, and role-based accounts. MailTester’s real-time API checks each address for validity, deliverability, and risk—flagging those behind filters, known as catch-all or gateway domains—so you see only real user engagement. This means your analytics aren’t skewed by automated or blocked traffic.

Real-Time Address Validation Filters Gateway Traffic

Security gateways often intercept messages before they reach the inbox. These systems typically block emails from unknown senders, scan for threats, or redirect traffic to a review queue. When you send to an address behind such a gateway, the system may click the link for approval without the user ever seeing the email—skewing CTR and giving false confidence in engagement.

MailTester’s real-time verification API checks each email for several traits: is it syntactically valid? Does it resolve via MX records? Is it a known disposable or role-based address? If an address exists in a catch-all domain (like @example.com where every email is accepted), MailTester surfaces that risk. These domains often represent systems that automatically click links without human intervention.

Proactive Filtering Reduces Distorted Metrics

By identifying high-risk addresses—such as those from disposable domains, common role addresses (e.g., admin@, support@), or known gateway domains—you can filter them out before sending. This means fewer messages end up in a security queue, and fewer false clicks distort your open and click rates.

For example, if you’re sending to a list and 12% of addresses are in catch-all domains or disposable, those accounts could generate 80% of your “clicks” without any real user involvement. MailTester tags these as risky or catch-all during verification. You can then exclude them, keeping your analytics clean and accurate.

Use MailTester’s real-time API to validate addresses at scale, or bulk verify your entire list. The results show exactly which addresses are likely to trigger gateway behavior, so you only measure real user engagement. As the RFC 5322 standard defines, email validation should confirm both syntax and deliverability—not just format. MailTester does both, reducing noise before it reaches your analytics.

For deeper testing, you can also run an inbox placement test to see where emails land in actual inboxes. But catching gateway traffic starts with clean data. Validating first is a proven way to ensure your numbers reflect real users, not automated systems.

Filtering Out Gateway Clicks: A Two-Step Process

You can detect security gateway clicks in email analytics by first cleaning your list with email verification to remove invalid, role, and disposable addresses—reducing noise at the source—then using post-send analysis to spot clicks from known gateway IPs and unusual behavioral patterns. Together, these layers filter out bots and false positives that inflate engagement metrics.

Step 1: Clean Your List Before Sending

Let’s start with the simplest fix: don’t send to addresses that will never open your email. Role accounts (@admin, @support), disposable addresses, and invalid emails often get caught by corporate gateways or get blocked outright. These aren’t real users, but they’ll still generate clicks if the gateway processes the HTML. That’s why you should run your list through email verification before sending.

MailTester’s bulk verification service checks for invalid syntax, known disposable domains, and role-based addresses using real-time validation via SMTP and MX lookups. It flags potential gateway users before they ever get an email. Start with 100 free verifications.

Step 2: Analyze Click Activity After Send

Even with a clean list, some gateway clicks still slip through—especially when security gateways pre-load content or render images. These clicks look like activity, but they come from IP ranges associated with content filtering (like Cisco Umbrella or Zscaler) or high-volume corporate proxies.

To catch them, analyze click data for anomalies. Look for spikes from single IP ranges, identical user agents across many clicks, or clicks that occur before email open timing is physically possible. These are red flags. The MXToolbox IP lookup service and IANA’s IPv4 registry can help identify known gateway ranges.

1. Verify your list using SMTP and DNS checks — remove invalid, role-based, and disposable domains before sending. This reduces the total number of false click signals.
2. Review click data for IP and behavioral anomalies — identify clusters of clicks from known proxy or filtering IPs, or sequences that break normal user patterns.

Validation cuts noise at the source. Post-send analysis catches what slips through. Combine both: verification keeps your data clean; analytics surfaces the outliers. It’s not perfect, but it’s the closest you can get to true engagement in today’s filtered inbox environment.

Use the email verification API to automate list cleaning in your workflows. Test deliverability with inbox placement checks to see how your messages appear in real inboxes—gateways or not.

What MailTester’s Verdicts Reveal About Gateway Risk

You can detect security gateway clicks in email analytics by looking beyond basic bounce rates. Addresses flagged as catch-all or risky by MailTester often route through gateways that filter or redirect mail—common in corporate, shared, or proxy environments. Combined with low delivery confidence (like open-relay indicators or slow SMTP responses), these verdicts signal elevated risk: recipients may see emails only after manual approval, or never at all.

How Verdicts Map to Gateway Behavior

Let’s break down the signals real users see when analyzing deliverability:

These verdicts aren’t guesses—they’re drawn from real-time checks against SMTP responses, DNS records, and behavioral patterns. An address with a valid status but a slow SMTP response or relayable flags likely passes through gateways that delay or filter messages before reaching the inbox. This is common in email systems using RFC 5321 compliance checks or third-party moderation layers.

Why This Matters for Deliverability

Security gateways don’t just block spam—they can silently delay or redirect your legitimate emails. If you're seeing inconsistent open rates or high “undelivered” flags across tools, the culprit might be gateway logic, not sender reputation. MailTester’s verification engine surfaces these risks before you send. Use the bulk verification tool for lists, or the API to validate in real time. You’ll reduce the number of sends that end up in spam traps or waiting rooms.

The Limitation of Blacklisting: It Won’t Catch Gateway Traffic

You can’t reliably stop gateway clicks by blacklisting IP ranges—these IPs are shared across millions of users, dynamically assigned, and used by legitimate enterprises daily. Blocking them risks cutting off real engagement while missing the actual source of inflated click metrics.

Shared IPs and Dynamic Allocation Make Blacklisting Ineffective

Cloud-based email gateways like Microsoft's Exchange Online or Google Workspace assign IPs from large, shared pools. These IPs rotate frequently and serve both internal business users and malicious actors. Trying to blacklist them is like putting a fence around a highway with no way to tell who’s driving the car.

Even if you had a list of known gateway IPs, they’d be outdated by the time you implemented it. The dynamic nature of these pools means any IP in your blocklist today might be used by a real sales rep tomorrow.

False Positives Hurt Real Engagement

Bluntly blocking entire IP ranges doesn’t differentiate between high-risk and legitimate users. A global marketing campaign might lose 10–15% of real opens and clicks just because the recipient’s company uses a shared gateway. This isn’t just a technical flaw—it’s a business cost.

According to the IETF’s guidelines on email delivery, shared infrastructure is a standard part of modern email systems. You can’t treat it as inherently malicious without undermining your own outreach.

Only prevention works. Stop delivering to high-risk addresses *before* they reach the gateway. That means verifying your list at the point of contact—filtering out invalid, fake, or disposable emails. Real-time verification via API or bulk checks with tools like MailTester’s email list verification detects these threats early. A properly filtered list reduces your exposure to gateway traffic, protects your sender reputation, and gives you accurate analytics.

Let’s be clear: you don’t need to fix the symptoms of gateway clicks. You need to stop the delivery that creates them in the first place.

Integrations with Mailchimp, Klaviyo, and SendGrid Improve Accuracy

You can detect security gateway clicks in email analytics by integrating MailTester with Mailchimp, Klaviyo, and SendGrid to verify email lists before sending. This pre-send cleanup removes catch-all and risky addresses—commonly used by security gateways—so you’re not tracking automated interactions. By filtering out these false positives at the source, your analytics reflect real user behavior instead of system-generated signals.

Pre-send Verification Cuts Through Noise

When you run your list through MailTester before sending via Mailchimp or Klaviyo, you’re not just checking if an address exists—you’re identifying which ones are likely to be security gateways, role accounts, or disposable addresses. These are the types of emails that will generate misleading click data, often showing up as "clicks" in your reports without actual engagement. By removing them early, you reduce the signal-to-noise ratio in your analytics.

Let’s say your campaign shows a 15% click rate. Without pre-verification, you don’t know how many of those clicks came from a spam-trapping system or a corporate email gateway. With MailTester’s integration, those fake interactions are filtered out before they ever reach a sending platform. That gives you a clearer picture of real engagement—a critical baseline for measuring performance.

Automated Cleanup, No Guesswork

MailTester integrates directly with Mailchimp, SendGrid, and Klaviyo using native connectors. You don’t have to manually export or reimport files. The process is real-time: upload your list, run it through the verification API, and sync the cleaned results back to your ESP. This keeps your workflows uninterrupted.

The verification service flags addresses as valid, catch-all, risky, or invalid. Catch-all domains—those that accept any email address—usually mean the recipient isn’t a real person. Security gateways often use these for scanning incoming mail, triggering clicks that aren’t human. Removing them means fewer false positives, clearer reporting, and more accurate attribution in your analytics.

For teams relying on email for outreach, this kind of automation is essential. You’re not just reducing bounces, you're improving inbox placement and sender reputation. And when your analytics reflect real user behavior, you can trust your KPIs.

Learn how to verify your list at scale: bulk verification. Try the real-time API: verification API. Test inbox placement: inbox tester. See all integrations: integrations. Start with 100 free verifications: pricing.

What You Can Do Today: A Practical Checklist

Start by verifying every email in your list using MailTester’s API or bulk tool. Filter out catch-all and risky addresses before sending. Automate checks via integrations with Mailchimp, HubSpot, or SendGrid. Then, examine click patterns for unusual IP behavior—especially from cloud providers like AWS or Google Cloud. Cross-reference spikes in clicks with invalid or role-based email patterns. If you see a high number of clicks from addresses like admin@ or support@, it’s likely gateway traffic, not real engagement.

Prevent gateway traffic at the source

• Use MailTester’s bulk verification tool to clean large lists quickly—no expiration on purchased credits, so it’s ideal for ongoing campaigns.
• Apply real-time verification via the Email Verification API to validate addresses before they enter your system.
• Integrate MailTester directly with platforms like Mailchimp or Klaviyo through official integrations to block invalid addresses before campaigns launch.
• Screen out any address flagged as catch-all—these accept any email, making them prime gateway targets.
• Exclude risky addresses: those with high bounce potential or known abuse patterns, even if they technically deliver.

Detect gateway clicks in your data

• Check click logs for IP ranges commonly associated with proxy or cloud infrastructure, such as AWS or Azure data centers. Tools like MXToolbox can verify if an IP is in a known list of open proxies.
• Look for clusters of clicks from the same region, time zone, or ISP—especially if they don’t align with your known audience profile.
• Compare click activity with list quality metrics: if 10% of clicks come from role-based addresses (e.g., info@, contact@), it’s a red flag for gateway traffic.
• Use inbox placement tests via MailTester’s inbox tester to simulate real delivery conditions and watch for anomalies in engagement patterns.
• Set up alerts for sudden spikes in clicks from the same domain, non-existent user, or IPs not normally in your customer footprint.

Even one gateway click can skew your open rate, trigger anti-abuse filters, and hurt sender reputation. The fix starts long before the email hits the inbox.

Conclusion: Reduce False Engagement with Verified Lists

Security gateway clicks aren’t real engagement. They’re automated responses from filters that block or scan emails, inflating click rates without any human interaction.

You can’t reliably detect these clicks after delivery. The only effective approach is prevention: verify your list before sending to remove high-risk addresses that trigger gateways or bots.

MailTester’s 98.9% accurate verification catches invalid, catch-all, and risky addresses before they ever hit your inbox. Clean your list at the source and cut false engagement at scale.

Keep reading

• Deliverability monitoring, metrics and reporting (complete guide)
• Email Deliverability Monitoring with Automated Escalation in 2026
• What Does Read Rate Mean in Email Marketing?
• Automated Email Verification to Confirm Bcc Delivery Success in 2026
• Automated Seed Account Health Checks to Avoid Spam Trap Risks in 2026

Ready to put this into practice? MailTester verifies emails with 98.9% accuracy — start with 100 free verifications.

Frequently asked questions

Can email analytics distinguish between real users and security gateways?

No—standard tracking tools cannot tell the difference. Gateways follow links automatically, triggering pixels without user intent.

What are common signs of security gateway clicks?

High click volume from unusual IPs, especially in cloud infrastructure zones, with no associated engagement metrics like time on page.

How does email verification prevent gateway clicks?

By identifying and removing catch-all, risky, or disposable addresses—common vectors for gateway traffic—before sending.

Do gateways block all email links?

No—most allow link previews to scan content. They follow URLs automatically, which triggers tracking pixels used in analytics.

Can I block gateway IPs in my email provider?

Possible in theory, but impractical—IPs are dynamic and shared across legitimate users. It risks blocking real engagement.

How can I test if my email analytics include gateway clicks?

Use a sample list with known high-risk or disposable addresses. If click-through rates spike without user activity, gateways may be involved.

Does MailTester help filter out bot clicks?

Yes—by identifying and removing invalid, catch-all, and risky addresses, MailTester reduces delivery to systems that generate bot-like clicks.

Are role and disposable email addresses more likely to trigger gateway clicks?

Yes—these are often behind security filtering systems. Verification helps avoid sending to them entirely.

Why don’t standard link tracking tools detect gateway clicks?

They only record when a link is accessed. Gateways follow links automatically, so they’re counted as valid clicks.

Is there a way to identify gateway traffic after a campaign ends?

Yes—by analyzing IP patterns, timing, and source domains. But prevention via list verification is more reliable.

What’s the most effective way to reduce false click inflation?

Verify email addresses before sending. MailTester’s 98.9% accuracy helps remove high-risk addresses that trigger gateway behavior.

How does MailTester’s AI assistant help with this problem?

It helps interpret verification results, flag high-risk patterns, and recommend cleanup steps to reduce delivery to problematic addresses.