Phishing Email Simulation Analysis: How to Measure Real Security Awareness

Organizations regularly conduct phishing simulations to determine whether employees can recognize suspicious emails. However, the success of a phishing test cannot be measured only by counting how many employees clicked a link.

A proper assessment should explain why users interacted with the simulated attack, how quickly suspicious activity was reported, and whether the organization's existing email security controls responded as expected. Combining employee behavior with technical email investigation gives security teams a much clearer understanding of their actual exposure to phishing attacks.

What Should You Check After a Phishing Simulation?

Once a simulation is completed, begin by collecting the most important results. Instead of focusing on one percentage, compare multiple indicators.

These commonly include:

• Number of emails successfully delivered

• Users who opened the simulated message

• Employees who clicked the phishing link

• Users who submitted information on the landing page

• Employees who reported the suspicious message

• Average time taken to click or report the email

The relationship between these numbers often reveals more than an individual metric.

For instance, a small number of clicks might initially appear positive. However, if nearly every employee who clicked also submitted credentials, the simulation has uncovered a serious weakness that deserves immediate attention.

For a more structured investigation process, security teams can follow How to Analyze a Phishing Email Simulation and examine both technical and behavioral indicators instead of relying solely on click statistics.

Investigate the Email Itself

After reviewing campaign results, investigate the technical characteristics of the simulated email.

Start with the message header. Email headers contain information that can help analysts understand how a message traveled from the sender to the recipient.

Important areas to examine include:

• Sender and return-path information

• Message-ID details

• Received headers

• Sending IP information

• Email timestamps

• SPF results

• DKIM authentication

• DMARC status

Reviewing these elements helps security teams understand whether their email authentication and filtering mechanisms behaved as expected.

This analysis can also highlight configurations that could potentially be exploited during an actual phishing campaign.

Examine URLs and Other Phishing Indicators

Links are another important part of phishing simulation analysis.

Investigators should examine the destination behind each embedded URL instead of relying only on the visible anchor text. A phishing link may use misleading domains, shortened URLs, redirects, or pages designed to closely imitate trusted services.

The email content itself should also be evaluated.

Look for social engineering techniques such as urgent requests, account suspension warnings, password expiration notices, financial requests, unexpected document sharing, or messages pretending to originate from senior management.

Understanding which technique generated the highest interaction rate can help organizations design more relevant security awareness training.

Compare User Behavior Across Teams

Organization-wide statistics can sometimes hide departmental risks.

Breaking simulation results down by department, role, or user group provides more actionable information.

For example, employees in finance may frequently receive invoices and payment requests, while HR teams regularly handle resumes and attachments. Attackers can exploit these normal activities to make malicious emails appear legitimate.

Executives and administrators can also represent attractive targets because their accounts may provide access to sensitive information or privileged systems.

Security teams should therefore identify which groups clicked most frequently, which reported suspicious emails, and how quickly those reports were submitted.

Use Email Forensics for Detailed Investigation

Manual investigation becomes difficult when analysts have to examine large volumes of messages, headers, URLs, attachments, and timestamps.

Professional Email Forensics Software can help investigators examine email evidence more efficiently by providing capabilities for searching messages, analyzing headers, reviewing communication patterns, investigating links, and reconstructing email timelines.

Instead of opening messages individually and manually comparing technical information, investigators can analyze larger collections of email data from a centralized environment.

This becomes especially valuable when simulation findings need to be compared with actual suspicious messages received by employees. Investigators can look for similarities in sender information, domains, URLs, keywords, timestamps, and communication behavior.

Such analysis can help determine whether an apparently isolated suspicious email is actually connected to a broader phishing campaign.

Measure Reporting Speed, Not Just Reporting Rate

An employee who reports a phishing email is demonstrating positive security behavior, but the time taken to report it also matters.

Imagine that several employees click a malicious link within five minutes, while the first security report reaches the IT team 40 minutes later. Even with a reasonable reporting percentage, attackers could have a significant window of opportunity.

Security teams should therefore compare:

Time to Click vs. Time to Report

The objective should be to reduce the time required for employees to identify and report suspicious activity.

Fast reporting allows security teams to investigate messages, block malicious domains, remove similar emails from other inboxes, and warn employees before additional users interact with the attack.

Convert Findings Into Targeted Training

A phishing simulation should ultimately lead to measurable improvements.

Employees who interacted with the simulated message should receive feedback explaining exactly which warning signs they overlooked.

For example, training might highlight:

• A suspicious sender domain

• An unexpected login request

• Urgency or threatening language

• A misleading URL

• An unusual attachment

• A mismatch between sender name and email address

Training based on actual simulation behavior is generally more relevant than repeatedly providing identical awareness material to every employee.

Future simulations can then test whether users have improved in the areas previously identified as weaknesses.

Conclusion

Phishing simulations are most valuable when organizations treat them as security assessments rather than simple employee tests.

Click rates provide useful information, but they should be evaluated alongside credential submissions, reporting behavior, response times, email headers, authentication results, URLs, and social engineering techniques.

Combining behavioral findings with email forensic investigation gives security teams a clearer picture of where phishing risks exist and what should be improved.

With regular testing, technical analysis, and targeted training, organizations can use phishing simulations to strengthen employee awareness while continuously improving their overall email security posture.

Nayan is a tech writer who specializes in creating practical guides on data management, cloud apps, and productivity workflows. He focuses on breaking down complex processes into easy, actionable steps that help users get results faster.