Why are emails showing as opened with Google Image Proxy IP when the recipient hasn't opened them?
Matthew Whittaker
Co-founder & CTO, Suped
Published 24 Jul 2025
Updated 16 Aug 2025
8 min read
It can be confusing and frankly, frustrating, when your email analytics show opens from a Google Image Proxy IP address, yet the recipient confirms they never actually opened your email. You might wonder if your metrics are completely unreliable or if your emails are stuck somewhere. This phenomenon is a common point of confusion for email senders, and it highlights how email open tracking has evolved.
The core of the issue lies in the fact that open tracking relies on a tiny, invisible pixel image embedded in your emails. When this pixel is loaded, it registers an open in your Email Service Provider's (ESP) reports. However, not every pixel load originates from a human looking at your email.
Today's email ecosystem includes numerous automated systems, firewalls, and privacy features designed to protect users. These systems often pre-fetch or scan email content, including images, which inadvertently triggers the tracking pixel. This means your open rates can be artificially inflated by machine activity, making it harder to gauge true recipient engagement.
Understanding these mechanisms is crucial for accurately interpreting your email performance data and adapting your strategy to a landscape where traditional open metrics are becoming less reliable. We'll explore why these false opens occur and what you can do about them.
The role of Google image proxy
Google's Image Proxy is a crucial component of how Gmail handles images in incoming emails. When an email arrives in a Gmail inbox, Google's servers often pre-fetch and cache all images in that email. This process serves multiple purposes, primarily enhancing user security, privacy, and performance.
For security, Google scans images for malicious content, such as viruses or malware, before they reach the user's device. This proactive measure prevents potentially harmful elements from being directly loaded from external servers, reducing the risk of phishing or other attacks. From a privacy standpoint, the proxy hides the recipient's IP address from senders, preventing them from tracking location or other sensitive data. For performance, images are cached on Google's global servers, allowing for faster loading times when a user opens the email.
When your ESP reports an open from a Google Image Proxy IP, it simply means Google's servers requested the tracking pixel, not necessarily that a human recipient has viewed the email. This pre-fetching happens irrespective of whether the user actually opens the email or not, making Gmail open rates less reliable for measuring true engagement.
Understanding the proxy
The Google Image Proxy pre-fetches images in emails for various reasons, including enhanced security, privacy protection, and improved loading performance for users. This action will trigger your email's tracking pixel, leading to a reported open, even if the recipient hasn't yet viewed the message.
Other automated opens and scanning services
Beyond Google, various other systems contribute to artificial opens. Security scanners, for instance, are commonly deployed by organizations to scrutinize incoming emails for threats. Solutions like Proofpoint (and many others) will often detonate or crawl email content in a sandboxed environment. This process involves loading all elements, including tracking pixels, to check for malicious links or content, leading to a registered open before the email even reaches the recipient's inbox.
Similarly, Apple introduced Mail Privacy Protection (MPP) with iOS 15. This feature routes all email image loads through a proxy server, regardless of whether the user opens the email. For users who have MPP enabled, every email received is reported as opened by Apple's proxy, further skewing open rates. This means if you see opens from Apple IPs, it's very likely an MPP-driven proxy open.
The collective impact of these automated systems, whether it's Google's proxy, security scanners, or privacy features like Apple MPP, is that email open rates are increasingly becoming a measure of machine interaction rather than human engagement. This doesn't mean the data is useless, but it requires a more nuanced interpretation.
Distinguishing real opens from false positives
Given the prevalence of automated opens, relying solely on open rates for campaign success is no longer a viable strategy. Your ESP might show a high open rate, but a significant portion could be from machines. This makes it challenging to accurately assess recipient engagement and the true reach of your messages. It's why many email deliverability experts advocate for shifting focus to more reliable metrics.
For instance, if your ESP reports an open from a Google proxy IP, but no clicks follow, it's highly probable that the email was pre-fetched and not genuinely engaged with by the recipient. You can identify these types of opens by analyzing artificial opens in your logs. Many email platforms provide details like the IP address and user agent, which can offer clues about the source of the open (e.g., GoogleImageProxy in the user agent string).
Tools like Google Postmaster Tools can help you gain insights into your email performance and reputation with Gmail recipients. While these tools won't solve the false open problem, they provide a broader view of your sending health, including deliverability to the inbox versus spam, which is ultimately more important than inflated open rates. You may also notice a spike in Gmail open rates with low clicks, a clear indicator of proxy activity.
Traditional open tracking
Pixel reliance: Assumes a human opened the email when the tracking pixel loads.
IP address: Used to infer recipient location or device type.
High accuracy: Historically, considered a primary metric for engagement.
Modern reality
Proxy interference: Proxies (e.g., Google Image Proxy, Apple MPP) load pixels automatically.
Hidden IP: Original IP obfuscated by proxy, limiting insights.
Reduced reliability: Open rates are now a hybrid of human and machine activity.
Adapting your email strategy
With the rise of automated opens, it's time to adjust how we evaluate email campaign performance. Open rates, while still somewhat indicative of inbox placement, are no longer the definitive metric for human engagement. Instead, focus on more tangible actions that confirm a recipient's interest.
Prioritize click-through rates (CTR), conversions, and other post-click actions. A click on a link within your email indicates a clear, intentional interaction from a human. Similarly, tracking website visits, purchases, or form submissions that originate from your email campaigns provides a much clearer picture of your campaign's effectiveness. These metrics are harder for machines to fake, making them more reliable indicators of true engagement.
Additionally, continue to uphold strong email sending practices. Maintain a clean and engaged email list, send relevant content, and ensure your emails are properly authenticated with SPF, DKIM, and DMARC. Good deliverability to the inbox is still key, even if the open isn't always a direct measure of human interaction. A healthy sender reputation and low complaint rates remain vital indicators of email program success.
Views from the trenches
Best practices
Focus on engagement metrics beyond opens, such as click-through rates and conversions.
Segment your audience to send more targeted and relevant content that encourages clicks.
Regularly clean your email lists to remove inactive subscribers, improving overall deliverability.
Implement robust email authentication protocols like SPF, DKIM, and DMARC for better inbox placement.
Common pitfalls
Over-relying on open rates as the sole measure of email campaign success.
Ignoring the impact of proxy services and security scanners on open metrics.
Failing to analyze click data alongside opens to identify true human engagement.
Not maintaining a clean email list, which can lead to higher bounce rates and blocklistings (blacklistings).
Expert tips
Consider using a combination of metrics to understand your audience's behavior comprehensively.
Analyze timestamps and IP addresses in your logs to distinguish between automated and human opens.
Leverage advanced analytics to track recipient journeys beyond the initial email open.
Educate your team about the changing landscape of email metrics due to privacy features and proxies.
Marketer view
Marketer from Email Geeks says that image-based tracking, which is what open pixels are, cannot track human opens, but rather how machines interact with email content. Any machine in the path, such as anti-spam filters, security systems, or performance optimizers, may interact with and request the content, triggering an 'open' without human interaction.
2022-05-02 - Email Geeks
Marketer view
Marketer from Email Geeks explains that Google will pre-fetch images for mail when certain conditions are met, causing an email to be reported as opened even if the recipient hasn't actually viewed it. If Google is fetching pixels, the messages were at some point on Google's servers.
2022-05-02 - Email Geeks
Navigating the modern email landscape
While emails showing as opened from a Google Image Proxy IP (or similar automated systems) can be perplexing, it's a natural consequence of the evolving email landscape. Mailbox providers and security solutions are constantly enhancing their defenses and privacy features, which often involve pre-fetching and scanning email content.
The key takeaway is to shift your perspective on open rates. They are no longer a perfect indicator of human engagement, but they can still provide insight into inbox delivery. Instead, prioritize metrics that reflect direct user action, such as clicks, conversions, and replies. By adapting your analytics and strategy, you can continue to achieve your email marketing goals effectively.