Marketing automation often scores leads based on engagement. However, contacts opening and clicking every single email are almost certainly security bots, not avid followers. Including this fake activity in lead scoring provides false positives, creates unreliable data, and frustrates sales teams with unqualified leads.

Since security bots artificially inflate open and click rates, failing to meet basic benchmarks (e.g., 20% open, 1% click) is a critical warning. This poor performance, despite bot activity, indicates either a massive deliverability issue landing you in spam folders or completely irrelevant content.

Relying on email opens and clicks for lead scoring is a major mistake. These metrics are unreliable because bots can trigger them, providing a false signal of engagement. A click does not equate to high purchase intent, leading sales teams to waste time on unqualified leads and causing frustration across departments.

Security infrastructures at many companies pre-click links and pre-open emails to scan for threats. This bot activity artificially inflates open and click-through rates, making these standard metrics inaccurate for gauging genuine user engagement and campaign performance.

Standard email marketing metrics like opens and clicks are not accurate. Due to security protocols and bot activity, many email service providers pre-click and pre-open emails, leading to wildly inflated numbers. Marketers should understand that these metrics are fundamentally unreliable for measuring genuine user engagement.

Email Service Providers (ESPs) use proprietary algorithms to filter bot activity, leading to inconsistent and often inflated open/click metrics. Comparing performance across newsletters using different ESPs is like comparing apples to oranges, making the data misleading for marketers.

To measure how many email clicks are from security bots versus real users, send a campaign at an off-peak time like 2 or 3 AM. The click activity within the first 30 minutes, when legitimate engagement is unlikely, provides a clear baseline for your bot traffic and metric inflation.

A high click-through rate (CTR) paired with a high unsubscribe rate indicates a problem. Ensure your analytics platform is not counting clicks on the unsubscribe link as part of your overall CTR, as this common oversight masks list health issues with falsely inflated engagement data.

To determine your true click-through rate, send an email campaign at an off-peak time like 2 or 3 AM. The clicks that occur within the first 30 minutes are almost certainly from bots, not real users. This number provides a baseline for how much your standard click metrics are inflated by automated activity.