The Great Email Metrics Mirage: Bots, Filters, and False Clicks

Have you ever opened an email marketing report and thought, “Wow! These numbers look great!” only to follow it with “…but why doesn’t this match what we’re actually seeing?”

Marketing teams across the financial industry are noticing a disconnect between email metrics and outcomes. They’re seeing things like open rates jumping, click-through rates spiking, and automations firing like clockwork (literally!). And yet, loan inquiries, account openings, and other meaningful actions remain the same.

So what’s happening?

Welcome to the great email metrics mirage, where bots, security filters, and privacy tools inflate engagement numbers and make it harder to sift through the results to understand how humans are actually interacting with your emails.

With the right approach and the right monitoring, you can unravel what your email marketing reports are really telling you.

Why Are Email Marketing Reporting Numbers inflated?

Email security and privacy tools are doing exactly what they’re supposed to do: protect consumers.

Banks and credit unions operate in environments with heightened security standards. Email providers and enterprise systems scan incoming emails to keep users safe from phishing, malware, and other threats.

The unintended side effect? Those scans look a lot like engagement on email marketing reports.

The Two Biggest Forces Behind Inflated Metrics

1. Privacy Tools That Inflate Opens: Privacy tools preload email content before a recipient even opens the message. That means an “open” can be recorded even if a human never actually opens the email.
2. Security Scanners That Create False Clicks: Security scanners open emails and follow links automatically to verify that they’re safe. When this happens, your email platform logs those actions as clicks…even though the human recipient didn’t click.

Common Security Tools for Corporate Email Accounts

If recipients use a business email account to receive the emails you’re sending, chances are their email environment includes one or both of these:

• Microsoft Defender Safe Links: This rewrites and scans links to check for threats.
• Proofpoint URL Defense: This routes links through a secure sandbox to evaluate safety before allowing access.

These tools are necessary and increasingly common for businesses. However, from a marketing standpoint, they introduce noise into your data, especially when clicks are treated as the ultimate signal of engagement.

Inflated metrics aren’t just an annoyance. They can cause issues such as:

• Misleading Performance Reports: Campaigns look highly successful on paper but don’t align with site traffic, form submissions, or conversions.
• Skewed A/B Testing: Subject lines or CTAs “win” because security bots clicked more often, not because customers preferred them.
• Broken Automations: A single scanner click can push someone into a new workflow, trigger follow-ups, or mark them as “high intent” when they never engaged at all.
• Stakeholder Conversations: Explaining why email performance looks amazing while business results remain the same isn’t exactly a confidence booster.

In short, bad data leads to uninformed decisions.

How to Spot the Mirage: Signs your Clicks Aren’t Human

So, we’ve determined that some of your metrics may be fake. But how do you identify bot activity? Here are some clear red flags:

• Clicks happen seconds after sending. Humans don’t read and click that fast, but scanners do.
• Multiple links are clicked at once. When every link in the email is clicked, including the footer or unsubscribe links, that’s almost certainly a bot.
• High click-through rates have no follow-up behavior. If you’re not seeing an increase in landing page engagement, form fills, or applications, this indicates bot traffic.
• Patterns are concentrated in business email domains. Business-to-business email addresses often have stricter security tools.

If you’re spotting one of these red flags, it doesn’t mean that your campaign failed. It just means that your metrics need context.

How Mailbox Providers Decide Where Your Emails Go (And Whether They’re Seen)

Mailbox providers like Gmail, Outlook, Yahoo, and Apple Mail evaluate emails using automated systems designed to protect users from spam, phishing, and unwanted messages. This evaluation happens before the email ever appears in someone’s inbox.

Mailbox providers rank emails using three main categories of signals:

1. Sender Reputation: The Email “Credit Score”
   1. How consistently you send emails
   2. Whether your domain is properly authenticated (SPF, DKIM, DMARC)
   3. Your history of spam complaints, bounces, and invalid addresses
2. Recipient Behavior: The Consumer Response
   1. Opens, clicks, and replies
   2. Moving emails out of spam or into folders
   3. Ignoring or deleting messages repeatedly
3. Message Context & Consistency: The Trust-Building Habits
   1. Whether emails are expected (opt-in; predictable cadence)
   2. Sending volume and frequency patterns
   3. Abrupt changes in behavior (such as sudden spikes)

So, What Should Do You Do?

It’s important to note that it’s not possible to fully eliminate auto opens or clicks. Security scanners operate before content is evaluated, so no subject line or design choice can completely stop them. But here’s what you can do:

• Reduce low-quality engagement
• Improve list quality and expectations
• Increase the ratio of real human interaction
• Make your metrics more trustworthy over time

Here’s your game plan:

Use Permission-Based Subscriptions

Confirmed, intentional subscribers are less likely to:

• Flag emails as spam
• Be routed through aggressive filtering over time
• Ignore or delete messages without reading (which impacts sender reputation)

We recommend:

• Using double opt-in for newsletters and marketing emails
  • When someone signs up for your email, they receive a follow-up email asking them to confirm by clicking a link. Once they have confirmed the subscription, they’re officially added to your email list.
• Clearly stating what subscribers should expect (newsletters, rate updates, educational content, community involvement recaps, etc.)
• Setting expectations on correspondence frequency

Double opt-in doesn’t stop security scanners, but it dramatically improves your list quality, which mailbox providers reward with better inbox placement and more reliable engagement signals.

This is not to be confused with “delivery rate,” which only addresses whether a mail server accepted the message. An email can be “delivered” but still end up in spam, meaning it technically arrived but practically failed.

Warm Up New Subscribers the Right Way (Especially After Signups)

Security systems are more suspicious of:

• New subscribers
• First-touch emails
• Sudden spikes in sending volume

A short, intentional onboarding sequence helps establish trust signals early.

We recommend:

• A simple welcome email explaining why they’re receiving emails
• Minimal links in the first message
• Clear sender identity and consistent branding

This helps mailbox providers learn that the person expects the emails (which can improve engagement patterns over time).

Be Strategic with Subject Lines

Although subject lines won’t stop scanners, they do affect deliverability, inbox placement, and human opens. This can indirectly influence filtering behavior over time.

Here are some subject line best practices:

• Be clear and specific as opposed to vague or clickbait-y
• Keep subject lines short (30-50 characters)
• Avoid spam-trigger phrases and patterns
  • Overly promotional or urgent language (“act now,” “limited time offer”)
  • Guarantees or exaggerated claims (“guaranteed approval,” “100% risk-free”)
  • Pushy calls-to-action (“buy now,” “claim your reward”)
  • Formatting red flags (all caps, multiple exclamation points, excessive emojis, long strings of links)
• Match the subject line to the email content

Overly promotional, misleading, or hype-driven subject lines increase spam complaints and disengagement, which leads to more aggressive filtering later. Clarity builds trust, both for humans and inbox algorithms.

Improve Content Predictability

Unexpected emails are more likely to be scanned aggressively…and ignored by recipients. Here’s what helps:

• Maintain a consistent cadence (for example, send a monthly newsletter the same week each month)
• Keep emails recognizable in layout and tone
• Send from the same sender name every time

Consistent helps mailbox providers associate your messages with expected, legitimate communication. Plus, your readers know what they’re opening.

Reduce “Scanner-Friendly” Link Behavior

Scanners tend to click every link, click immediately, and click links that look transactional or urgent. You can’t avoid this entirely, but you can reduce it.

Here are some adjustments we recommend:

• Be intentional about links and only include necessary links
• Use one primary CTA instead of many competing links
• Avoid “Click Here” or ambiguous button text
• Route secondary actions to your website (vs. all in-email)

Keeping emails focused improves readability for humans and reduces noisy data patterns tied to bot activity.

Clean Your List Regularly

While it may seem like a good idea to maintain a large mailing list to combat false metrics, that can actually hurt your email’s performance. Old, disengaged, or invalid addresses:

• Hurt sender reputation
• Invite stronger filtering
• Inflate misleading engagement signals

Here are a few best practices:

• Remove chronically inactive subscribers
• Suppress addresses that never confirm opt-in
• Monitor bounce and spam complaint rates closely

Less Really Is More

When it comes to email, especially in today’s security-heavy environment, shorter, more focused emails often perform better than long, multi-section messages. (And that’s true for readers and for how inbox providers evaluate engagement.)

Here’s why shorter emails help:

• They’re easier to scan and understand quickly. Most people check their emails on a mobile device. Short emails with clear spacing, simple language, and one main idea make it easier for readers to engage.
• They reduce “noise” that triggers automated activity. Emails packed with multiple links, dense blocks of text, or competing calls to action are more likely to be fully scanned by security tools and more likely to generate confusing engagement signals.
• They respect the reader’s time. Clear, concise emails signal legitimacy and professionalism, which are important trust cues for both subscribers and inbox algorithms. Research consistently shows that shorter emails tend to see higher engagement.

In practice, that looks like this:

• One main message
• One primary call to action
• Short paragraphs or bullet points
• Clear next step

Consider moving deeper content to your website where human behavior is easier to measure and less affected by email security scanning.

Rethinking What “Success” Looks Like in Email Marketing

Keep in mind that opens and clicks don’t tell the whole story. Here’s what you can measure instead:

• Engagement on landing pages (such as time, scroll depth, and interaction)
• Form submissions and appointment requests
• Application starts
• Key product page views

Consider separating total activity from verified or high-confidence engagement, meaning actions that were likely completed by humans. This creates better alignment between marketing reports and real outcomes (and it builds trust with stakeholders).

Email Marketing Still Works

At forbinfi, we work exclusively with banks and credit unions, which means we see these challenges every day, and we plan for them. From secure, performance-ready websites to analytics setup, email strategy, and reporting that actually reflects customer behavior, our approach focuses on clarity over vanity metrics.

Email marketing still works. It just requires a glimpse beyond the mirage. If your email reports feel confusing, inflated, or hard to explain, start a conversation with our team to uncover what your metrics are really telling you.

Email Marketing Metrics FAQs for Banks and Credit Unions