Reported open rates are inherently flawed due to inflation from bots and privacy features like Apple's. Their true value isn't the absolute number, but their utility as a directional metric. Use them to compare relative performance in A/B tests (e.g., subject lines) rather than as a definitive measure of campaign success.

New laws in France and Italy require explicit consent for open tracking. However, this won't kill the metric. Marketers will use the data from the statistically significant group of users who consent to tracking to make directional decisions, like A/B test winners, and extrapolate those findings to their entire audience.

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.

This metric combination provides a clear diagnosis: your audience is interested enough to open the email, but the content inside fails to earn a click. The problem isn't the initial hook; it's the offer or call-to-action.

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.

Open rates are unreliable due to automated actions, particularly Apple's Mail Privacy Protection (iOS 15+) which pre-fetches content and marks emails as opened without user interaction. Focus on metrics that reflect true intent, like clicks or conversions influenced by the subject line alone.

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.

Due to Apple's Mail Privacy Protection automatically loading tracking pixels, open rates are inflated and no longer accurately reflect individual actions. However, these auto-opens don't fire if an email lands in spam. Therefore, use open rates to monitor trends and detect deliverability problems.