Why do phishing simulations fail as a security metric when organisations focus only on clicks?

Why This Matters for Security Teams

Phishing simulations are often treated like a performance scorecard, but click rate only measures one narrow moment in a broader attack path. A simulation can show that some users opened or clicked, yet still miss whether they reported the message, whether the SOC saw it fast enough, or whether a compromised account would be contained. NIST SP 800-53 Rev 5 Security and Privacy Controls makes clear that awareness, monitoring, and incident response are linked control outcomes, not isolated events, which is why a single vanity metric creates false confidence. Security leaders also need to distinguish training effectiveness from operational resilience, because those are not the same thing.

When organisations optimise only for lower clicks, they can accidentally encourage guessable training behaviour instead of real risk reduction. A workforce may learn to avoid obvious phishing templates while remaining vulnerable to convincing lures, callback scams, or identity-based attacks that bypass email altogether. In practice, many security teams encounter the weakness of click-only measurement only after a real phishing wave has already caused account takeover or reporting delays, rather than through intentional validation.

How It Works in Practice

Click rate becomes a poor security metric when it is used as the sole output of a programme that is supposed to improve detection, reporting, and response. A more useful model measures several layers: exposure, user action, and defensive follow-through. That means separating users who clicked from users who reported, measuring the time between delivery and report, and checking whether reported messages triggered containment or enrichment in the SOC. These are the kinds of outcomes that align with NIST SP 800-53 Rev 5 Security and Privacy Controls, where awareness training and incident response controls are intended to support measurable defensive capability.

Operationally, mature programmes often segment results by role, business unit, and exposure profile. A finance team facing invoice fraud should not be judged against the same baseline as a general office population. Likewise, an executive group with higher external targeting may require different simulation scenarios and a different success threshold. Good measurement also considers whether users know how to use the report button, whether mail gateway and SIEM alerts are correlated, and whether the SOC can triage quickly enough to prevent lateral movement.

• Track reporting rate alongside click rate so the programme rewards early warning, not just avoidance.
• Measure time to report and time to SOC action to evaluate operational readiness.
• Segment by department, privilege level, and exposure to tailor risk-based training.
• Validate whether simulations change behaviour over time rather than one-off results.
• Correlate simulation outcomes with mailbox controls, EDR signals, and incident records.

This approach is more defensible because it connects awareness activity to control performance. It also avoids the common mistake of treating a low click rate as proof that the organisation is resilient when the reporting pipeline or incident handling process may still be weak. These controls tend to break down when simulations are run at scale without SOC integration because the organisation cannot convert user reports into measurable response actions.

Common Variations and Edge Cases

Tighter phishing measurement often increases programme overhead, requiring organisations to balance simplicity against fidelity. There is no universal standard for one perfect phishing metric yet, so current guidance suggests using a small set of indicators rather than a single score. For some organisations, click rate still has value as a trend signal, especially for broad awareness campaigns, but it should not be used to judge the maturity of the whole programme.

Edge cases matter. Highly technical staff may click less often but still fail to report, while frontline teams may report quickly yet need more contextual coaching. In regulated environments, the emphasis may shift toward auditable readiness, mean time to report, and incident handling evidence rather than simulation vanity metrics. For identity-heavy attacks, a simulation may also be less about email hygiene and more about whether the organisation can detect credential harvesting, token abuse, or suspicious login flows. That is where identity, IAM, and NHI governance intersect with phishing response in a practical way.

For broader control alignment, phishing simulations should be connected to CISA phishing best practices and the organisation’s monitoring and response controls. The main test is not whether users failed one bait message, but whether the business can spot, report, and contain the next one faster. In environments with seasonal spikes, multilingual workforces, or heavy contractor access, these metrics can become noisy because user behaviour varies sharply with context and baseline exposure.

Related resources from NHI Mgmt Group

• Why do cloud security tools still fail when organisations have IAM in place?
• How can organisations use a security assessment without turning it into a vanity metric?
• Why does credential phishing still work in organisations with mature email security?
• Why does annual security awareness training fail against modern phishing?