Phishing Simulation Results: How to Measure Human Risk, Improve Security Awareness, and Turn Click Data Into Action

By BCyber Security Team | CISSP, CISM Last updated: 20 July 2026

Phishing simulation results show how people actually respond when faced with realistic email, SMS, login prompts, links, and attachments designed to look legitimate. In practice, they are a behavioural control: a way to measure whether users recognise social engineering, verify identity, and report suspicious activity before an incident becomes a compromise.

For Australian organisations, these results matter because they help demonstrate ongoing control effectiveness under frameworks such as APRA CPS 234, the Essential Eight, and ISO/IEC 27001. That is especially relevant in financial services, healthcare, and government, where phishing commonly precedes credential theft, business email compromise, malware delivery, and unauthorised access to regulated data.

At BCyber, phishing simulation data is often reviewed alongside awareness, policy, and governance evidence. Our platform inventory includes 21 policies, 8 processes, 46 courses, 733 published articles, 365 knowledge hub entries, 9 clients, and 10 fact-find assessments, which gives teams a practical baseline for linking simulation outcomes to training, policy enforcement, and executive reporting. Tools such as BCyber Cyber Fitness support simulations and awareness campaigns, while GRACE Portal centralises executive reporting and compliance tracking. When deeper behavioural insight is needed, Profiler helps connect simulation performance with access-pattern monitoring and user-risk trends.

Verification note: Any statistics or benchmarks in this article should be validated against your organisation’s own phishing simulation history, control environment, and incident records. External benchmarks vary widely by sector, campaign realism, seasonality, and workforce profile.

What phishing simulation results actually measure

A practical definition of simulation outcomes

Phishing simulation results are the measurable outputs of security awareness exercises that imitate malicious messages and login flows. They usually capture whether users clicked, entered credentials, opened attachments, reported the message, or ignored it. In other words, they show whether people recognised the trap or took the bait.

These results are best treated as evidence of behaviour, not a scorecard for punishment. Under NIST SP 800-50, awareness programs work best when they are designed to change behaviour, reinforce secure decision-making, and measure outcomes over time. That aligns closely with a maturity approach under ISO 27001 Annex A controls for awareness and human-resource security.

In a mature program, the goal is to reduce risk through learning, not fear. A simulation that reveals weak response patterns should trigger better training, control refinement, and stronger escalation pathways. For example, BCyber Policy Management can support the formalisation of acceptable-use, reporting, and training obligations, while BCyber Process Design helps turn those obligations into repeatable response steps.

Simulation types that reveal different risks

Phishing exercises can take many forms, and each exposes a different layer of human risk. Email-based simulations remain common because they mirror the most familiar attack path, but they are only one part of the picture. Credential-harvesting tests focus on whether users will enter usernames, passwords, or MFA codes on a fake page. Malicious-link and attachment-based simulations reveal whether people inspect URLs, file types, and document prompts before interacting. SMS phishing and collaboration-platform prompts add another dimension, because users often apply less scrutiny on mobile devices and chat tools.

This matters because real attackers increasingly use multi-channel delivery. A finance officer may receive an invoice lure by email, a password-reset prompt by SMS, and a spoofed executive request in a collaboration app during the same week. If an organisation runs simulations across those channels, it can identify whether users behave differently on phones, laptops, or shared devices.

That kind of channel comparison is useful in sectors like:

• Financial services: invoice fraud, payroll redirection, and banking credential theft
• Healthcare: fake patient portals, clinician login prompts, and urgent referral attachments
• Government: impersonation of internal service desks, procurement notices, and citizen-service documents

Why the data matters beyond awareness training

Phishing simulation results matter because they show where awareness training is effective and where it is not. They can reveal whether a campaign improved reporting behaviour, whether repeat exposure reduced risky clicks, or whether a specific team remains vulnerable to urgency-based social engineering.

They also support compliance and audit readiness. Under APRA CPS 234, regulated entities are expected to maintain information security capability commensurate with the size and extent of threats to their information assets. That does not mean simulation results are a compliance checkbox; it means they are evidence that an organisation is testing whether its human controls actually work. Likewise, the ACSC Essential Eight encourages layered controls, but awareness remains important because phishing often aims to bypass technical safeguards by targeting the user.

Real-world examples

• Financial services: A payments team clicks a fake invoice from a known supplier. The simulation reveals that urgency language and familiar branding are the main triggers. The follow-up may include finance-specific microlearning, stronger call-back verification, and a tighter reporting workflow.
• Healthcare: A hospital administrator submits credentials to a fake rostering portal. That indicates a need for role-based training around identity verification, mobile-device caution, and suspicious login-page recognition.
• Government: A department user reports a spoofed shared-drive invitation within two minutes. That is a positive sign, because rapid reporting can shorten attacker dwell time and improve containment.

In each case, the result is not just a number. It is a map of where human risk sits and which workflow needs reinforcement. That is why organisations using GRACE Portal often connect simulation outcomes to compliance tracking, executive reporting, and policy remediation.

The metrics that turn clicks into insight

Click rate, submission rate, and report rate

The most visible metric is the click rate, which measures how many users clicked a malicious link or engaged with the simulation. A high click rate may indicate weak awareness, but it can also reflect poor timing, a realistic scenario, or campaign fatigue. That is why it should never be read alone.

The credential submission rate is usually more serious because it shows that a user went beyond curiosity and entered sensitive information. In a real incident, that behaviour can lead to account compromise, mailbox access, business email compromise, and lateral movement.

The report rate shows how many users took the correct action and escalated the message through the approved channel. This is often one of the most important indicators of resilience because quick reporting can reduce attacker dwell time. For many organisations, a strong report rate is more operationally meaningful than a low click rate.

Segmenting by group, role, and behaviour

Raw averages can hide important patterns, so simulation results should be segmented by department, location, role, seniority, and work model. Remote users may behave differently from on-site users, and executives may receive more convincing impersonation attempts than general office staff. Finance, HR, and IT often face more targeted social engineering, so their results deserve a closer look.

Repeat-offender analysis is especially useful because it can separate a one-off mistake from a persistent behavioural gap. Time-to-click and time-to-report also matter. A fast report is a good sign; a fast click may indicate impulsivity, distraction, or overconfidence in familiar-looking messages.

This is where BCyber’s product ecosystem can help:

• GRACE Portal for single-dashboard visibility, cross-product analytics, executive reporting, compliance tracking, and real-time monitoring
• Profiler for behavioural analysis, insider-threat detection, access-pattern monitoring, risk scoring, and user-activity analytics
• CyberTriage for rapid escalation if a real phishing incident is suspected, including its AI-powered 4-minute triage capability
• Perfect Storm for scenario modelling and simulation if you want to test how phishing combines with ransomware, credential theft, or insider risk

A simulation program is most useful when it measures behaviour in context, not as a blunt pass-or-fail test.

Reading results without drawing the wrong conclusion

It is easy to misread phishing simulation results if context is ignored. A high click rate does not automatically mean employees are careless, especially if the test was highly realistic or launched during a peak workload period. A low click rate does not necessarily mean the organisation is secure if almost nobody reports suspicious messages. A spike in credential submissions may reflect a convincing lure rather than a widespread culture problem.

Good interpretation asks what changed, who was exposed, and what the message was trying to exploit. Benchmarking should begin with internal trends before comparing external averages, because industry benchmarks rarely match your organisation’s risk profile, operating rhythm, or control maturity.

For BCyber clients, results are commonly reviewed against applicable control frameworks such as:

• APRA CPS 234
• ACSC Essential Eight
• ISO/IEC 27001
• internal acceptable-use and incident-reporting policies
• privacy obligations, including where relevant the Australian Privacy Act

What shapes simulation outcomes in the real world

Realism, timing, and channel choice

The realism of a simulation heavily influences how users respond. Subject lines, sender names, formatting, logos, and urgency cues all affect whether a message looks plausible. A simulation that is too obvious may fail to test real behaviour, while one that is too clever may feel unfair and undermine trust.

Timing matters as well. People behave differently during payroll cycles, month-end reporting, public-facing incident pressure, and major business events. Channel choice matters too, because mobile screens hide detail and collaboration tools can feel more trusted than external email. The same lure delivered through different channels can produce very different outcomes.

Culture, awareness level, and role exposure

Organisational culture plays a major role in whether users report suspicious messages or stay silent after making a mistake. If people expect blame, they are less likely to escalate quickly. If they know reporting is encouraged and mistakes are used as learning moments, reporting tends to improve.

Role exposure also matters. Executives, finance teams, HR staff, and IT administrators often receive more tailored impersonation attempts because their access is more valuable. A generic training model may miss those differences and treat all users as if they face the same threat surface. Role-specific simulations are more effective because they reflect the language, urgency, and workflows that attackers actually use.

BCyber’s course library can support that targeted approach. Relevant examples include:

• Phishing Awareness
• MFA and Identity Protection
• Incident Reporting Fundamentals
• Data Handling and Privacy Basics
• Executive Cyber Risk Awareness

Those courses can be aligned to the GRACE operating model:

• Governance for policy and accountability
• Risk for quantified behavioural exposure
• Assurance for control testing and evidence
• Compliance for audit-ready documentation
• Execution for remediation and follow-up action

Turning raw numbers into human-risk insight

Phishing simulation results become especially valuable when they reveal the shape of human risk rather than just the size of a problem. For example, repeated clicks on invoice-themed emails may point to finance workflow pressure, while repeated MFA-code submissions may point to a gap in identity-security awareness. A weak report rate on mobile users may suggest that the reporting process is too cumbersome on phones.

This is where behavioural analytics adds depth. When simulation outcomes are reviewed alongside access patterns and identity activity, security teams gain a fuller picture of what happens before, during, and after a risky interaction. Profiler supports that kind of analysis by helping identify unusual trends that may not be obvious in a training dashboard alone.

Building a stronger awareness program from simulation data

Targeted training that follows behaviour

The most effective follow-up training is specific, short, and tied directly to what the user did. If someone clicked a fake link, the training should explain the cues they missed and show what to look for next time. If they submitted credentials, the follow-up should focus on account protection, MFA misuse, and escalation steps.

Microlearning works well because it is easier to absorb than a generic long-form course. Role-based learning is even better. Finance users should see invoice-fraud examples, HR should see payroll and personal-data scenarios, and executives should see impersonation and authority-abuse tactics.

That is where BCyber Cyber Fitness adds practical value: it supports simulations, awareness campaigns, and adaptive learning based on observed behaviour. If the simulation data shows repeated issues, the next training can be mapped to the specific gap rather than delivered as a broad refresher.

Reporting, recognition, and leadership visibility

A mature awareness program does not only focus on mistakes. It also reinforces the people who report suspicious messages quickly and correctly. Recognition can be simple and low-key, but it should be visible enough to signal that reporting is valued.

Reporting also needs to be easy. If the process takes too many steps or is hidden behind unclear instructions, users will not use it consistently. That is why simulation programs should test the reporting pathway as carefully as they test the lure itself.

Leadership visibility matters too. Executives need trends, not just campaign scores. GRACE Portal can help centralise reporting and compliance evidence so leadership, risk teams, and auditors have a consistent view of progress over time. When combined with TopSpin, organisations can also forecast the storage and analytical capacity needed to retain evidence, trend data, and investigation artefacts over time.

Making the program continuous rather than episodic

Phishing awareness improves when simulations are part of an ongoing rhythm rather than a rare event. Regular campaigns keep the topic familiar, but the schedule should not become so predictable that users simply wait for the next test. Variety in themes, channels, and urgency levels helps ensure the program tests genuine recognition rather than pattern memory.

The strongest programs combine simulation, training, analytics, and governance. Results inform training, training influences behaviour, and behaviour changes the next result. Over time, that cycle becomes a practical model of continuous improvement and supports compliance evidence under APRA CPS 234, ISO 27001, and the Essential Eight.

Common mistakes that hide the real lesson

Looking only at click rate

One of the most common mistakes is treating click rate as the only number that matters. Clicks are important, but they do not tell the full story if credential submissions, reporting behaviour, and repeat failures are ignored. A low click rate can still coexist with poor reporting, which means the organisation may be slow to detect real attacks.

Another mistake is using the results to shame people. Fear suppresses reporting, and suppressed reporting makes the organisation less safe. A better approach is to frame failures as learning opportunities and improvement targets. People are more willing to improve when they know the goal is resilience rather than punishment.

Repeating the same simulation until it loses meaning

If the same template is used over and over, users learn the pattern rather than the lesson. They may begin to recognise the exercise instead of recognising the threat. Rotating content keeps the test grounded in realistic attacker behaviour and helps uncover whether users can spot different lures.

Failing to act on the data is another costly mistake. Simulation results are only useful if they lead to changes in training, policy, reporting, or executive oversight. A dashboard without follow-up is just a mirror with no movement behind it.

How BCyber supports evidence-based phishing resilience

BCyber’s approach combines awareness simulation, governance, behavioural insight, and executive reporting so organisations can move from isolated campaign results to sustained control improvement.

Relevant components include:

• BCyber Cyber Fitness — simulation, training, and awareness campaigns
• GRACE Portal — unified visibility, reporting, compliance tracking, and real-time monitoring
• Profiler — behavioural intelligence and risk scoring
• CyberTriage — rapid incident triage and containment support
• Perfect Storm — scenario intelligence for compound-threat testing
• Paradigm — AI-powered GRC automation, policy mapping, and compliance automation

BCyber has also been recognised in industry award programs, including:

• 2025 Finalist Cybersecurity Professional Of The Year — Karen Stephens, Co-Founder & CEO
• 2025 GRC Provider of the Year — Finalist
• 2025 AI Innovator - Cyber Security — Finalist

These recognitions are relevant because phishing simulation is no longer just an awareness exercise. It sits at the intersection of human behaviour, governance, compliance, and incident readiness.

Conclusion: turning click data into continuous improvement

Phishing simulation results are more than vanity metrics because they expose how people actually behave under pressure. They reveal where users click, where they report, where they submit credentials, and where patterns repeat across teams and time.

When those results are interpreted carefully, they guide targeted training, better reporting, and more relevant security controls. They also help compliance and leadership teams see whether the organisation is building real resilience rather than just checking a training box.

The most useful programs look beyond a single number and focus on the full behaviour chain. That means segmenting results by role, tracking trends over time, and using adaptive learning to close the gaps that appear. It also means combining simulation data with behavioural insight so patterns are easier to see and act on.

In that model, BCyber Cyber Fitness, GRACE Portal, Profiler, and CyberTriage work together as part of one shared learning environment. The forest grows stronger when every branch receives the benefit of what the others have learned.

Authoritative resources

For further reading, see:

• NIST SP 800-50: Building an Information Technology Security Awareness and Training Program

• NIST SP 800-61 Rev. 2: Computer Security Incident Handling Guide

• APRA CPS 234: Information Security

• ACSC Essential Eight

• ACSC Phishing guidance

• ISO/IEC 27001 overview

• OAIC Australian Privacy Act resources

Key takeaways

• Phishing simulation results measure human response, not employee worth, and they are most useful when treated as learning evidence.
• Click rate matters, but credential submission rate, report rate, repeat failure rate, and time-to-report often tell a more complete story.
• Interpretation should always account for context, including role exposure, workload, timing, and simulation realism.
• Adaptive training, role-based campaigns, and simple reporting pathways improve the quality of awareness outcomes over time.
• Centralised reporting and behavioural analysis help turn simulation data into practical action for security, compliance, and executive oversight.