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How Phishing Simulations Reduce Repeat Clickers

How Phishing Simulations Reduce Repeat Clickers

Team Innvikta

Team Innvikta

Published: 16 Feb 2026 • 04 Mins read

When the Same Person Clicks Again, It's a Pattern

When the same user clicks again, it's no longer a mistake - it's a behavior pattern. People don't repeat mistakes because they don't care. They repeat them because routine behavior is hard to interrupt without the right feedback.

In cybersecurity programs, this often appears as repeat clickers - individuals who unknowingly fall for similar phishing techniques multiple times. An experienced user, confident with tools and quick to respond, repeatedly interacts with phishing simulations - not due to negligence, but because speed and familiarity override caution.

Key Takeaways

  1. Repeat clickers aren't careless - they're stuck in a routine behavior pattern.
  2. Speed and familiarity with tools can override caution, even for experienced users.
  3. Continuous phishing simulations reduced susceptibility by over 95% in one program.
  4. Behavior-driven learning outperforms isolated, one-time awareness sessions.
  5. Personalized learning based on real user patterns helps intervene early with high-risk users.
  6. The goal is changing behavior over time, not one-time training or compliance metrics.

Why Repeat Clicking Happens

It's tempting to assume repeat clickers are simply careless or under-trained, but the pattern is usually more specific than that. Fast, confident, high-volume email users - exactly the profile of a productive employee - are often the most prone to repeat clicking, precisely because their speed and familiarity with routine tasks reduces the moment of conscious evaluation that catching a phishing email requires.

The Habit Loop Behind Repeat Clicking

Repeated behavior, in general, tends to follow a loop: a cue triggers an automatic response that's been reinforced by past outcomes. For an experienced inbox user, "email arrives, looks routine, click" has been reinforced thousands of times by legitimate emails that were, in fact, safe to click quickly. Interrupting that loop requires more than a single warning - it requires enough repeated, corrective feedback to build a new automatic response in its place.

From Isolated Sessions to Behavior-Driven Learning

Through continuous phishing simulations, Innvikta helped one organization move from isolated awareness sessions to behavior-driven learning. Results included:

  • Susceptibility reduced by over 95%
  • Repeat-risk behavior significantly minimized through targeted reinforcement
  • Stronger reporting culture and faster detection timelines

Why Repeat Clickers Need a Different Approach Than First-Time Failures

Someone who fails a phishing simulation for the first time may simply need a single piece of feedback. A repeat clicker needs something different: an intervention that interrupts the specific routine or shortcut they've fallen into, since a generic reminder clearly hasn't worked the first, second, or third time. That's why targeted reinforcement - not a repeat of the same generic training - is what actually moves the number.

Beyond Who Clicked, to Why Behavior Repeats

HUMAN RISK MANAGEMENT

See Innvikta InSAT in Action

Explore how our interactive games, realistic phishing simulations, and gamified training modules dramatically reduce organizational human cyber risk.

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At Innvikta, we use simulation insights to go beyond who clicked and focus on why behavior repeats. By applying personalized learning based on real user patterns, teams can intervene early, support high-risk users, and reduce exposure across the organization.

Because effective security awareness training isn't about one-time training or compliance metrics. It's about changing behavior over time - and making safer decisions stick.

What This Looks Like in Practice

  • Simulation data identifies individuals and departments with repeat-risk patterns, not just aggregate click rates
  • Targeted follow-up training addresses the specific pattern behind the repeated behavior
  • Reporting culture improves as employees see that flagging suspicious messages is encouraged, not penalized
  • Detection timelines shorten as more employees actively report rather than silently ignore suspicious messages

The Role of a No-Blame Reporting Culture

Repeat clickers who fear punishment for failing simulations are less likely to report suspicious emails at all - they simply stay quiet and hope not to be caught again. A no-blame culture, paired with fast, specific feedback, is what actually surfaces repeat-risk patterns early enough for targeted intervention to work, rather than letting the same person quietly struggle through campaign after campaign.

How Innvikta Helps

Continuous Simulation Campaigns

Rather than a single annual test, ongoing simulations build the data needed to identify genuine behavior patterns, not one-off mistakes.

Personalized Learning Paths

Employees identified as repeat-risk receive targeted follow-up content addressing their specific pattern, instead of a repeat of the same generic module.

Human Risk Intelligence Dashboards

Security leaders get visibility into repeat-risk trends across departments, supporting early, targeted intervention before a pattern turns into an actual incident.

Test Your Own Detection Accuracy

Can you spot a phishing email before it's too late? Play Spot the Phish and test your detection accuracy.

Frequently Asked Questions

A repeat clicker is an employee who falls for similar phishing techniques multiple times, not out of negligence but because routine behavior and familiarity with tools can override caution.

Their speed and familiarity with routine tasks reduces the moment of conscious evaluation needed to catch a phishing email, since fast responses have been repeatedly reinforced by legitimate, safe-to-click emails in the past.

In one program, Innvikta's continuous phishing simulations helped reduce susceptibility by over 95%, alongside significantly minimized repeat-risk behavior.

Repeat clickers have already been exposed to generic awareness messaging without it changing their behavior, so they need targeted reinforcement addressing their specific pattern rather than a repeated generic reminder.

A no-blame culture encourages employees to keep reporting suspicious messages even after failing a simulation, which surfaces repeat-risk patterns early enough for targeted intervention rather than letting the pattern continue unnoticed.

The goal is changing behavior over time and making safer decisions stick, rather than treating training as a one-time event or a compliance checkbox.

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This makes the technique relevant well beyond traditional spam filters. The Scale of a Single Campaign On February 8, 2026, Microsoft's ASCII-smuggling hunting signature detected roughly 21,000 messages. On February 9, that jumped to more than 1.3 million. The campaign peaked at more than 2.3 million messages in a single day. More than 99% of the messages were caught by other layers of Microsoft's protection stack. Attackers don't need to defeat every security control. They only need to find gaps between them - and a campaign at this scale shows just how quickly attackers can pivot once they find one. What This Scale Tells Security Teams A jump from 21,000 to 2.3 million messages in a single day isn't a slow, exploratory campaign - it's evidence of automated tooling built specifically to exploit this gap at scale. Once a technique like this proves it can bypass even one meaningful layer of defense, it gets industrialized almost immediately. 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That's exactly why security awareness training that teaches employees to question a message on its own merits - not just trust that it "passed the filter" - remains one of the most durable defenses available. Structured phishing simulations that include these evasive, filter-bypassing patterns help teams build that instinct before a real campaign tests it. 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Human Risk Intelligence Behavioral analytics identify which employees consistently trust "passed the filter" as a safety signal, so targeted coaching can close that specific gap. Continuous Awareness Reinforcement Short, recurring microlearning content keeps evolving threats like ASCII smuggling on employees' radar, long after a single Cybersecurity Awareness Month campaign ends. Build This Instinct During Cybersecurity Awareness Month Register for Cybersecurity Awareness Month and help your team build the habit of questioning requests, not just trusting a passed filter. ASCII smuggling is a technique where attackers insert invisible or visually deceptive Unicode characters into text to disrupt how automated security tools and AI models parse high-risk words, while the text still looks normal to a human reader. Microsoft's detection signature went from roughly 21,000 messages on February 8, 2026 to more than 1.3 million the next day, peaking above 2.3 million messages in a single day. Yes. More than 99% of the messages in the campaign were caught by other layers of Microsoft's protection stack, showing that layered defense still matters even when one detection method is bypassed. As more platforms use AI to summarize or classify text, hidden Unicode characters can potentially cause an AI system to interpret a document differently than a human would, extending the risk beyond traditional spam filters. Employees should avoid relying solely on a message having passed a spam filter. They should verify whether they were expecting the email, check if the request is unusual or urgent, and confirm requests through a separate channel when in doubt. Innvikta combines realistic, regularly updated phishing simulations, continuous security awareness training, and human risk intelligence to help employees build habits that catch suspicious requests regardless of whether a technical filter flags them.

17 Sep 2026•05 Mins read