A sudden surge in bot click activity in email campaigns can stem from several sources, requiring a multifaceted diagnostic approach. Security software, Apple's Mail Privacy Protection (MPP), and improved pre-fetch link checking by mailbox providers contribute to inflated click rates. Analyzing user agents, IP addresses, and click patterns is crucial, alongside evaluating recipient domains for patterns and utilizing bot filtering tools like Google Analytics and Cloudflare. Ensuring human verification of lead data and awareness of the robots.txt exclusion protocol also help mitigate bot-related issues.
8 marketer opinions
A sudden increase in bot click activity in email campaigns can be attributed to several factors. These include security software clicking links for threat detection, Apple's Mail Privacy Protection inflating click rates due to pre-loading content, and mailbox providers improving their pre-fetch link checking capabilities. Competitors attempting to skew engagement metrics and new email security measures implemented by recipient email providers can also contribute. Identifying bot traffic involves analyzing IP addresses, user agents, and behavioral patterns.
Marketer view
Email marketer from Reddit responds that corporate security software often clicks links in emails to check for malicious content. This can cause a large spike in clicks, particularly from internal IP ranges. Check IP addresses, user agents and timing of the clicks
15 May 2025 - Reddit
Marketer view
Email marketer from StackExchange explains that a sudden increase in bot clicks could be due to new email security measures implemented by recipient email providers. These systems automatically click links to check for malicious sites, resulting in inflated click-through rates. Check the user agent of the requests.
12 Aug 2022 - StackExchange
5 expert opinions
A sudden increase in bot click activity in email campaigns can be diagnosed by investigating several key areas. These include the presence of Apple desktop OS and Mail Privacy Protection (MPP), the user agent of the clicks, and the recipient domains. Identifying patterns in recipient domains, especially cloud-hosted domains, can provide insights. Analyzing IP addresses, User Agents, and the timing of clicks can also help identify suspicious patterns indicative of bot activity or click fraud. Reviewing data sourcing processes to ensure human-verified lead data can also reduce bot inclusion.
Expert view
Expert from Email Geeks offers to analyze the recipient domains to identify potential patterns using their filter tool.
4 Jun 2023 - Email Geeks
Expert view
Expert from Email Geeks shares that of the top 10 domains in Paul’s list, 8 of them are all cloud hosted at one spam filter.
27 Jun 2021 - Email Geeks
3 technical articles
To combat sudden increases in bot click activity, resources describe how to use bot filtering in Google Analytics to exclude known bots and spiders, enhancing human engagement metrics. Cloudflare's bot management tools analyze HTTP requests, challenge suspicious traffic, and block malicious bots to improve analytics accuracy. Understanding the robots.txt exclusion protocol helps identify malicious bots ignoring it, contributing to unwanted clicks.
Technical article
Documentation from IETF.org explains the robots.txt exclusion protocol. While primarily used for web crawling, understanding how bots are *supposed* to behave (respecting robots.txt) helps identify those that are malicious and disregard it, thus contributing to unwanted click activity.
10 Sep 2021 - IETF.org
Technical article
Documentation from Cloudflare describes their bot management tools, which analyze HTTP requests to identify and mitigate bot traffic. It includes methods for challenging suspicious traffic and blocking malicious bots to improve the accuracy of website and email campaign analytics.
23 Jan 2022 - Cloudflare
How can I detect and segment bot clicks in email campaigns?
How can I identify and handle suspicious bot clicks in email marketing campaigns?
How can I identify and mitigate the impact of bot clicks on email marketing metrics?
How can I minimize bot clicks in email marketing and what are the best methods for identifying and filtering them?
How can I prevent bot clicks from hurting my email reputation?
How do I identify and handle spam bot clicks in email reporting and how can they affect deliverability?