How to run an effective phishing simulation program
A phishing simulation program is not a "gotcha" exercise — it is a measurement and training system. Run it badly and you erode trust and learn nothing; run it well and you get a defensible, improving metric for one of your largest attack surfaces.
Define the goal before the first send
Decide what you are actually measuring. Common objectives:
- Behavioural resilience — click rate, credential-submission rate, and crucially report rate.
- Time-to-report — how fast your fastest 10% surface an active campaign.
- Coverage — which departments, roles, or regions are lagging.
The single most useful metric is often not click rate but report rate, because a workforce that reports quickly gives your SOC the signal it needs to contain a real attack in minutes.
Get the program design right
Baseline first, then improve
Run an initial, low-difficulty baseline campaign to establish where you stand. Never publish or attach names to the baseline — its job is a starting number, not accountability.
Segment and randomise
Send to representative segments over a window rather than blasting everyone at 9:00 on a Monday. Simultaneous sends trigger hallway warnings ("watch out for the fake email") that corrupt your data.
Escalate difficulty over time
Map campaigns to a difficulty ladder:
- Easy: generic "package delivery failed," obvious external sender.
- Medium: spoofed internal tool (HR portal, benefits enrollment), plausible pretext.
- Hard: targeted, contextual lures referencing real projects, timed to real events (open enrollment, tax season, a reorg).
Match difficulty to maturity. Hard lures against an untrained population just produce a demoralising click rate.
Operating rules that keep trust intact
- Never punish clicks. Punitive programs teach people to hide mistakes and not to report. Reward reporting instead.
- Deliver training at the teachable moment. The landing page after a click should be brief, non-shaming, and explain the specific tells.
- Coordinate with stakeholders. Give your SOC/helpdesk a heads-up so a spike in reports isn't mistaken for a real incident, and brief HR/legal on data handling.
- Respect sensitive contexts. Avoid lures that impersonate real payroll cuts, bonuses, or bereavement — they cause genuine harm and backlash.
Measure what matters
Track trends, not single numbers:
Report Rate = reported / delivered
Click Rate = clicked / delivered
Compromise Rate = credentials submitted / delivered
Resilience Ratio = reporters / clickers (target: > 1, and rising)
Median Time-to-Report
Repeat-Clicker % (same users across campaigns)
A healthy program shows report rate climbing and time-to-report falling over successive quarters, with repeat-clickers getting focused follow-up rather than blanket retraining.
A note on technical measurement
Beware inflated numbers from security tooling that pre-clicks links (URL sandboxes, link rewriters, mail-security scanners). Allowlist your simulation sender and infrastructure in these systems, or filter their user-agents and source IPs, so a scanner isn't logged as a "click."
A simple quarterly cadence
- Plan — pick theme, difficulty tier, and target segments.
- Send — staggered over several days.
- Train — just-in-time content for those who click; recognition for reporters.
- Report — trends to leadership, focused action on lagging segments.
- Iterate — raise difficulty as resilience improves.
Treat simulations like fire drills, not exams. The point is a faster, calmer, better-prepared response — not a list of people to blame.
How GottaPhish helps
Run a simulation program badly — inconsistent scenarios, no measurement, no follow-through — and you erode trust while learning nothing. GottaPhish and its expert support team run the whole cycle for you: AI-personalized simulations that scale from easy baselines to targeted, context-aware lures, staggered sending, just-in-time training at the moment of the click, and dashboards tracking report rate, time-to-report, resilience ratio, and repeat-clickers by segment. Our experts work hands-on with you to design scenarios, set up and roll out campaigns (including phishing-resistant MFA when credential exposure is the real risk), and interpret the results, so each round measurably improves behaviour rather than just producing numbers.
