The current Calculated Rates rely on page view data to compute engagement and conversion metrics. However, the accuracy of this data is significantly affected by non-human interactions and blocked analytics. The following sources contribute to distorted view counts:
Social Media & Messaging Apps
Social media platforms like Facebook, Snapchat, and LinkedIn often fetch and render web pages to generate link previews. These previews are counted as page visits, despite no real user interaction with CCM, leading to inflated view numbers.
Ad Blockers
Approximately 32.5% of users employ ad-blocking tools, many of which also block analytics data, which results in underreporting of views and other metrics, skewing the calculation of rates.
Scraping Bots
With the growth of AI and automated systems, there is a significant increase in bot-driven traffic. These bots may load the page but never interact with CCM, contributing to artificially inflated view counts.
Search Engine Bots
Search bots behave like scraping bots. They visit pages to index them but do not interact with the page content, which also leads to misleading metrics when relying on view-based calculations.
Website Monitoring Tools
We identified several third-party monitoring tools that act as browsers and stimulate user visits to check site availability and performance, but never interact with CCM, skewing the metrics.
Website Testing Tools
We identified tools used for testing in production websites. These tools often render pages without interacting with CCM, which also results in skewed view-based metrics.