Reducing repeat clickers

In most awareness programs, a relatively small number of employees click on simulation after simulation, while most of the organization clicks rarely or not at all. Treating everyone the same, whether that means one company-wide training module or one blanket policy, wastes time for the majority who already recognize the threat, and it rarely changes the behavior of the people driving the risk. Repeat clicking is usually a habit or a knowledge gap specific to that person, not a general awareness failure across the workforce.

Identifying repeat clickers requires looking at behavior over time, not a single campaign result, and the response has to be immediate and specific rather than scheduled months later in a generic refresher. It also has to avoid feeling punitive, since shame-based responses tend to make people hide mistakes rather than report them, which is the opposite of what a security team wants from someone who just clicked a suspicious link.

The goal is not to punish the small group driving the risk, but to reach them with something specific before the habit hardens. Because risk scoring looks across simulations, channels, and just-in-time interactions rather than a single campaign, it can distinguish a sustained pattern from one unlucky click on an unusually convincing lure. That distinction matters: a person who clicks repeatedly needs a different response from a strong performer who slipped once, and treating them identically helps neither.

The response also has to be automatic and timely, because a generic refresher scheduled months later rarely changes behavior tied to a specific person. Assignment rules can trigger more targeted training the moment a user's risk score crosses a threshold, without anyone being named or singled out publicly. As new simulation and training data arrives, scores are recalculated, so you can see whether a specific person or team is actually improving instead of assuming a completed module fixed the problem and moving on.