StoneShot Learning > Reporting > Reporting FAQ

Reporting FAQ


FAQ

How does StoneShot's BotShield technology work?

Email clients such as Apple Mail and Gmail can prefetch or preload images before the recipient opens the email, which causes the tracking pixel to load and generates an open that may not represent real engagement.

Corporate email security systems and gateways often scan or follow links automatically to check for malicious content, generating clicks that were not made by a human.

BotShield uses several detection methods to capture and supppress this fake activity:

  • Machine learning and pattern recognition to identify suspicious behaviour and create detection rules.
  • Known bot footprints, such as specific IP addresses and user agents commonly associated with security scanners and automated systems.
  • Hidden links within emails that humans cannot see or click. Bots that scan every link in an email often trigger these hidden links, revealing themselves as non-human traffic.
  • Behavioural analysis, such as detecting contacts that click every link in an email within a fraction of a second—something a human couldn’t realistically do.
This fake activity is what our BotShield tool detects and filters out to avoid skewing the engagement data. Genuine activity from the recipients themselves is included in the final campaign metrics.

How can we export the Blocked Opens/Clicks activity data?

Blocked Opens and Blocked Clicks data cannot be exported, and we are unable to provide information on the email addresses generating this automated fake activity.

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