Measuring Phishing Awareness: KPIs Every Business Should Track

Running phishing simulations without measuring outcomes is like conducting fire drills but never checking whether anyone actually made it to the exit. Far too many small and mid-sized businesses invest time and money in security awareness programmes yet never establish the key performance indicators (KPIs) needed to determine whether those programmes are working. The result is a false sense of security and wasted resources.

flowchart TD
    A["Run Phishing Simulation"] --> B["Track Click Rate"]
    B --> C["Track Report Rate"]
    C --> D["Measure Improvement"]
    D --> E["Identify At-Risk Teams"]
    E --> F["Targeted Training"]
    F --> A
  

This guide walks you through the most important phishing awareness metrics, explains how to benchmark your results against industry averages, and shows you how to present the data in a way that earns continued investment from leadership. Whether you are just launching your first simulation campaign or looking to refine an established programme, these KPIs will give you the clarity you need to make data-driven decisions.

Why Phishing Awareness Metrics Matter

Phishing remains the number-one initial attack vector for data breaches affecting small businesses. But knowing that phishing is dangerous is not the same as knowing whether your people can actually recognise and respond to it. Metrics close that gap.

Without concrete data, security teams are forced to rely on gut feeling or anecdotal evidence when making the case for continued investment. Leadership may question the return on investment of awareness training if there is no quantifiable proof that employee behaviour is improving. Metrics also allow you to identify pockets of risk within your organisation, such as departments or roles that consistently underperform, so you can target remediation where it is needed most.

Beyond internal value, many compliance frameworks and cyber insurance policies now require documented evidence that awareness training is not only delivered but effective. Tracking the right KPIs turns a checkbox exercise into a genuine risk-reduction programme.

The Five Core Phishing Awareness KPIs

While there are dozens of data points you could track, five metrics form the foundation of any effective phishing awareness measurement programme. Master these first before expanding into more advanced analytics.

1. Phishing Click Rate (Susceptibility Rate)

The click rate measures the percentage of employees who click on a simulated phishing link or open a malicious attachment during a test. It is the most widely reported metric and serves as a top-level indicator of organisational vulnerability.

How to calculate it: Divide the number of employees who clicked the link by the total number of employees who received the simulated email, then multiply by one hundred. For example, if 200 employees received a simulation and 30 clicked, your click rate is 15 per cent.

Industry benchmarks vary, but a click rate under 5 per cent is generally considered strong for mature programmes. New programmes often start between 20 and 35 per cent, which can be alarming but provides a valuable baseline. The goal is not perfection on day one; it is measurable improvement over successive campaigns.

2. Report Rate (Active Defence Rate)

The report rate tracks the percentage of employees who actively report a simulated phishing email using your designated reporting mechanism, such as a phishing report button in the email client. This is arguably more important than the click rate because it measures proactive behaviour rather than passive avoidance.

An employee who does not click but also does not report still leaves the organisation at risk because the security team has no visibility into the threat. A healthy report rate means your people are functioning as a human firewall, actively contributing to your defence posture. Aim for a report rate above 60 per cent as a long-term goal; many organisations initially see rates between 10 and 20 per cent.

3. Time-to-Report

Speed matters in incident response. Time-to-report measures how quickly employees flag a suspicious email after receiving it. The faster a phishing email is reported, the sooner the security team can investigate and take action, such as removing the email from other inboxes before more people fall victim.

Track the median time-to-report rather than the mean, as a handful of very late reports can skew the average. Aim to bring your median time-to-report below five minutes. Early in a programme, you may see times of 30 minutes or more, so improvement here is a strong indicator that awareness is becoming habitual rather than theoretical.

4. Repeat Clicker Rate

The repeat clicker rate identifies the percentage of employees who fall for simulated phishing across multiple campaigns. A single click might be an honest mistake, but repeated failures point to a deeper knowledge or behavioural gap. These individuals represent your highest-risk users and should receive targeted, one-on-one remediation.

Track repeat clickers over a rolling 12-month period. If more than 3 to 5 per cent of your workforce falls into this category, it is a signal that your training content or delivery method needs adjustment. Some organisations assign mandatory refresher training automatically when an employee clicks for a second time, which helps reduce this metric over time.

5. Simulation Completion and Training Completion Rate

Your metrics are only meaningful if they cover the entire workforce. The simulation completion rate tracks what percentage of employees actually received and had the opportunity to interact with the simulated email. If emails are blocked by spam filters or employees are excluded from campaigns, your data will be incomplete.

Similarly, the training completion rate measures what proportion of employees finish assigned awareness training modules. Low completion rates undermine the entire programme. Target above 95 per cent completion for both simulations and training by coordinating with department heads and incorporating reminders into regular communications.

Benchmarking Against Industry Averages

Internal trends matter more than absolute numbers, but industry benchmarks provide valuable context that helps leadership understand where your organisation stands relative to peers.

Across industries, the average phishing click rate for organisations with active training programmes hovers between 10 and 15 per cent. Financial services and technology firms tend to perform better, often seeing rates between 5 and 10 per cent, while healthcare, education, and government organisations frequently see higher susceptibility due to workforce demographics and the nature of their communications.

When benchmarking, consider the difficulty level of your simulations. A 5 per cent click rate on easy-to-spot simulations is less impressive than a 15 per cent rate on highly sophisticated, context-aware attacks. Document the difficulty level alongside the results so that comparisons over time are meaningful.

Be cautious about comparing your numbers directly to vendor-published benchmarks, as these are often aggregated across thousands of organisations with varying maturity levels. Instead, establish your own internal baseline and measure progress against it. If your click rate drops from 25 per cent to 12 per cent over six months, that is a far more meaningful data point than knowing the global average.

Presenting Metrics to Leadership

Security leaders often make the mistake of presenting raw data to executives. A spreadsheet full of click rates, report rates, and percentages may be meaningful to the security team, but leadership wants to understand risk and return on investment in business terms.

Frame Metrics as Risk Reduction

Rather than stating that the click rate dropped from 22 per cent to 9 per cent, translate that into business impact. For example: "At our previous susceptibility rate, approximately 44 employees would have interacted with a real phishing email in a given campaign. At our current rate, that number is 18. This 59 per cent reduction in susceptible employees directly reduces the likelihood of a breach and the associated costs, which average over $150,000 for businesses our size."

Use Visual Dashboards

Create a simple, one-page dashboard that shows trend lines for your core KPIs over time. Include a red-amber-green status indicator for each metric based on your target thresholds. Executives rarely have time to interpret detailed reports, so make the information digestible at a glance.

Connect Metrics to Financial Outcomes

Wherever possible, tie phishing awareness improvements to financial metrics that leadership cares about. These include reduced cyber insurance premiums, fewer help desk tickets related to suspicious emails, decreased incident response costs, and compliance with regulatory requirements that carry penalties for non-compliance.

Report Quarterly, Not Just Annually

Annual reports lose the narrative of improvement. Present metrics quarterly so that leadership can see the trajectory and understand how training investments translate into measurable behavioural change. This also gives you regular opportunities to request additional resources or adjust your strategy based on current performance.

Using Data to Improve Your Training Programme

Collecting metrics is only valuable if you act on the insights they provide. Here is how to use each KPI to continuously refine your phishing awareness programme.

Segment Data by Department and Role

Aggregate click rates tell you how the organisation is performing overall, but segmented data reveals where targeted intervention is needed. Break your metrics down by department, seniority level, office location, and job function. You may discover that your finance team has a click rate three times higher than engineering, indicating that finance-targeted simulations and training should be a priority.

Adjust Simulation Difficulty Progressively

As your organisation improves, increase the sophistication of your simulations. Start with generic phishing templates and gradually introduce more realistic scenarios, including those that mimic internal communications, use personalisation, or exploit current events. Track performance at each difficulty level to ensure improvement is genuine rather than a reflection of easy tests.

Address Repeat Clickers Individually

Employees who repeatedly fail simulations need more than generic training modules. Consider assigning them one-on-one coaching sessions with a member of the security team, providing scenario-based learning exercises, or including them in a more frequent simulation schedule. The goal is to change behaviour, not to punish, so approach these conversations constructively.

Correlate Training Completion with Performance

Analyse whether employees who complete training modules perform measurably better in subsequent simulations. If the correlation is weak, the training content may need to be refreshed or delivered in a different format. If the correlation is strong, use that data to make the case for mandatory participation.

Tracking Trends Over Time

The real power of phishing awareness metrics lies in longitudinal data. A single simulation is a snapshot; a year of monthly or bi-monthly campaigns tells a story.

Establish a cadence of at least one simulation per month, varying the type, difficulty, and theme. This prevents employees from becoming complacent or learning to recognise only one style of phishing email. Over a 12-month period, you should be able to identify clear trends in both click rates and report rates.

Watch for seasonal variations. Click rates often spike after holidays, when employees return to overflowing inboxes and are more likely to act hastily. They may also increase during periods of organisational change, such as mergers, restructuring, or rapid hiring, when new employees have not yet been trained and existing staff are distracted.

Create a 12-month rolling average for each KPI to smooth out campaign-to-campaign variability. This rolling average gives you a clearer picture of the underlying trend and makes it easier to set realistic targets for the coming quarter or year.

Finally, correlate your phishing metrics with actual security incidents. If your click rate is declining but real-world phishing incidents are stable or increasing, there may be a gap between simulation performance and real-world behaviour. This could indicate that your simulations are not realistic enough, or that employees behave differently when they suspect a test.

Building a Metrics-Driven Phishing Awareness Programme

The most effective phishing awareness programmes treat measurement as a continuous process, not a one-time assessment. Here is a practical roadmap for building a metrics-driven programme from the ground up.

Month one: Run a baseline simulation without prior warning. Record click rates, report rates, and time-to-report. This establishes your starting point.

Months two through three: Deploy foundational training to all employees. Run a second simulation at the same difficulty level to measure the immediate impact of training.

Months four through twelve: Run monthly simulations with progressively increasing difficulty. Track all five core KPIs and segment data by department. Provide targeted remediation for repeat clickers and departments with above-average click rates.

Quarterly: Present a dashboard to leadership showing trend lines, risk reduction, and financial impact. Use insights to adjust training content, frequency, and delivery methods.

Annually: Conduct a comprehensive programme review. Compare year-over-year performance, reset benchmarks, and set targets for the coming year. Evaluate whether your simulation provider and training platform are still meeting your needs.

By committing to this cadence, you transform phishing awareness from an ad hoc activity into a strategic programme that delivers measurable, defensible results. The data you collect will justify your budget, guide your priorities, and, most importantly, reduce your organisation's exposure to one of the most persistent threats in the cybersecurity landscape.