{"id":7580,"date":"2026-07-20T17:00:57","date_gmt":"2026-07-20T11:30:57","guid":{"rendered":"https:\/\/www.mailxaminer.com\/blog\/?p=7580"},"modified":"2026-07-20T17:12:36","modified_gmt":"2026-07-20T11:42:36","slug":"analyze-phishing-email-simulation","status":"publish","type":"post","link":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/","title":{"rendered":"How to Analyze a Phishing Email Simulation"},"content":{"rendered":"<p><b>The Quick Answer: <\/b><span style=\"font-weight: 400;\">To properly analyze a phishing email simulation, use these four steps:\u00a0<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Evaluate click and reporting metrics.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Review technical headers and payloads<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Track user response patterns,\u00a0<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Close the loop with targeted remediation.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Doing this well, Sounds simple. Teams still get this wrong. Here is the method that works when you sit down to analyze a phishing email simulation properly.<\/span><\/p>\n<div class=\"card my-5 bg-menu\">\n<div class=\"card-header text-center\" style=\"padding: 6px 10px; font-weight: 500;\">\n    <span>Table of Contents<\/span> <a class=\"badge bg-danger toc-hv ms-2\"\n       href=\"#\"\n       data-bs-toggle=\"collapse\"\n       data-bs-target=\"#toc\"\n       style=\"font-size: 12px; padding: 4px 8px; vertical-align: middle;\"><br \/>\n      Hide<br \/>\n    <\/a>\n  <\/div>\n<div id=\"toc\" class=\"card-body collapse show\" style=\"padding: 10px;\">\n<ol style=\"padding-left: 20px; margin: 0;\">\n<li style=\"margin: 2px 0;\"><a href=\"#why-phishing-analysis-fails\">Why phishing analysis fails<\/a><\/li>\n<li style=\"margin: 2px 0;\"><a href=\"#metric-evaluation\">Metric evaluation<\/a><\/li>\n<li style=\"margin: 2px 0;\"><a href=\"#header-payload-review\">Header &amp; payload review<\/a><\/li>\n<li style=\"margin: 2px 0;\"><a href=\"#user-response-tracking\">User response tracking<\/a><\/li>\n<li style=\"margin: 2px 0;\"><a href=\"#remediation-feedback\">Remediation feedback<\/a><\/li>\n<li style=\"margin: 2px 0;\"><a href=\"#manual-analysis-limitations\">Limits of manual analysis<\/a><\/li>\n<li style=\"margin: 2px 0;\"><a href=\"#faqs\">FAQs<\/a><\/li>\n<\/ol><\/div>\n<\/div>\n<h2 id=\"why-phishing-analysis-fails\"><b>Why Most Phishing Simulation Analysis Falls Flat<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Security teams launch a phishing email simulation, watch click-rate number, and call it done. That is not an not analysis, that is just a scoreboard.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Real analysis asks deep and result-oriented questions:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Why someone click.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">What the email exploited.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">How fast your organization noticed.\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">If you miss that, and your phishing simulation becomes a compliance checkbox instead of a risk-reduction tool.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Here are four-pillar framework that separates surface-level reporting from genuine security investigation.<\/span><\/p>\n<h2 id=\"metric-evaluation\"><b>Pillar 1: Metric Evaluation<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">Start every phishing email simulation with review of these three numbers:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Click Rate<\/b><span style=\"font-weight: 400;\">: It is percentage of employees who clicked on malicious link<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Credential Entry Rate<\/b><span style=\"font-weight: 400;\">: This is a dangerous metric; who typed real credentials into fake form.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Reporting Rate<\/b><span style=\"font-weight: 400;\">: Who flagged email instead of engaging with it<\/span><\/li>\n<\/ul>\n<blockquote><p><span style=\"font-weight: 400;\"><strong>Note<\/strong> &#8211; Low click rate with a high credential-entry rate is a red flag. It means the few people who <\/span><i><span style=\"font-weight: 400;\">did<\/span><\/i><span style=\"font-weight: 400;\"> click were also the ones who trusted it completely.<\/span><\/p><\/blockquote>\n<h3 id=\"header-payload-review\"><b>Pillar 2: Technical Header &amp; Payload Review<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">This is where most simulation analysis stops and this is the point where the real forensic value lives.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Open raw email headers. Check whether <\/span><b>SPF, DKIM, and DMARC<\/b><span style=\"font-weight: 400;\"> validated correctly against the simulated sending domain. If they passed too easily, your real-world filters may be just as blind. To do this always use an efficient <\/span><a href=\"https:\/\/www.mailxaminer.com\/view-email-headers.html\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">email header analyzer <\/span><\/a><span style=\"font-weight: 400;\">tool<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Next, examine payload itself:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Where did the embedded link actually route to.<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Was there an attachment, and what would it have executed?<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Did the landing page mimic branding very closely enough to fool a careful reader?<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">This header-and-payload layer is exactly where a purpose-built <\/span><a href=\"https:\/\/www.mailxaminer.com\/product\/\"><span style=\"font-weight: 400;\">email forensics software<\/span><\/a><span style=\"font-weight: 400;\"> earns its place,\u00a0 because manually parsing raw:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">MIME data<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Timestamps<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Routing paths\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Across hundreds of simulation emails is not a realistic task to do by eye.<\/span><\/p>\n<p><b>Related Read<\/b><span style=\"font-weight: 400;\">: What is <\/span><a href=\"https:\/\/www.mailxaminer.com\/blog\/corporate-espionage-investigations\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Corporate Espionage Investigations<\/span><\/a><\/p>\n<h3 id=\"user-response-tracking\"><b>Pillar 3: User Response Tracking<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Numbers without context hide real risk. When we analyze a phishing email simulation at department level, segment results by:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Department<\/b><span style=\"font-weight: 400;\">: Finance and HR are typically higher-risk targets<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Device<\/b><span style=\"font-weight: 400;\">:\u00a0 Mobile users click faster and read less<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Time-to-click vs. time-to-report<\/b><span style=\"font-weight: 400;\">: This ratio tells you how prepared your team really is.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Marketing team that reports phishing emails in 90 seconds is a very different risk profile than a finance team that clicks in 12 seconds and never reports at all.<\/span><\/p>\n<h3 id=\"remediation-feedback\"><b>Pillar 4: Remediation Feedback Loop<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Analysis without action is equals to a documentation. For user who failed this simulation, deliver a short, specific explanation of what they missed, mismatched domain, urgency language, spoofed sender name.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">This &#8220;just-in-time&#8221; coaching, delivered right after the click, is proven to stick far better than a generic annual training module.<\/span><\/p>\n<h3 id=\"manual-analysis-limitations\"><b>Where Manual Analysis Breaks Down<\/b><\/h3>\n<p><span style=\"font-weight: 400;\">Here is the honest truth: steps 1 and 3 are easy to automate with a dashboard. Step 2, which is the technical header and payload review, is where most internal teams give up.\u00a0<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Manually decoding headers<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Tracing links<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Reconstructing timelines\u00a0<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Among hundreds of simulation emails takes forensic-grade tooling, not spreadsheets. This is exactly the gap <\/span><a href=\"https:\/\/www.mailxaminer.com\/\"><b>MailXaminer<\/b><\/a><span style=\"font-weight: 400;\"> was engineered to close.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Instead of manually opening each header, professional tool lets you:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><b>Search email headers<\/b><span style=\"font-weight: 400;\"> instantly across your entire simulation batch<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Run <\/span><a href=\"https:\/\/www.mailxaminer.com\/blog\/timeline-analysis-in-digital-forensics-investigation\/\" target=\"_blank\" rel=\"noopener\"><b>Timeline Analysis<\/b><\/a><span style=\"font-weight: 400;\"> to see exactly when clicks and reports happened, hour by hour<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Use <\/span><a href=\"https:\/\/www.mailxaminer.com\/blog\/link-analysis-in-criminal-investigation\/\" target=\"_blank\" rel=\"noopener\"><b>Link Analysis<\/b><\/a><span style=\"font-weight: 400;\"> to map every user who interacted with the same malicious URL<\/span><\/li>\n<li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Apply <\/span><a href=\"https:\/\/www.mailxaminer.com\/blog\/word-cloud-analysis-text-visualization\/\" target=\"_blank\" rel=\"noopener\"><b>Word Cloud Analysis<\/b><\/a><span style=\"font-weight: 400;\"> to surface the exact language that triggered the most clicks<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">What takes a security analyst days by hand, professional tool surfaces in minutes, turning your phishing simulation data into an evidence-grade report you can act on immediately.<\/span><\/p>\n<p><b>Wrapping Up<\/b><\/p>\n<p><span style=\"font-weight: 400;\">Knowing how to analyze a phishing email simulation is only half the job. Acting on it is another half. Phishing email simulation is only as valuable as the analysis behind it.\u00a0<\/span><\/p>\n<ul>\n<li aria-level=\"1\"><b>Track right metrics.<\/b><\/li>\n<li aria-level=\"1\"><b>Read technical evidence<\/b><\/li>\n<li aria-level=\"1\"><b>Understand human behavior.<\/b><\/li>\n<li aria-level=\"1\"><b>Close every loop with real coaching.<\/b><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Once this is done and your organization moves from &#8220;we ran a test&#8221; to &#8220;we measurably reduced risk.&#8221; That&#8217;s the difference between checking box and actually getting safer.<\/span><\/p>\n<h4 id=\"faqs\"><b>Frequently Asked Questions<\/b><\/h4>\n<p><b>Q &#8211; What is the best method to analyze a phishing simulation?<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A &#8211; The four-pillar method, metric evaluation, header and payload review, user response tracking, and remediation feedback. covers both the numbers and the technical evidence behind them.<\/span><\/p>\n<p><b>Q &#8211; Why does header analysis matter in a phishing email simulation?<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A &#8211; It reveals whether your real email security stack (SPF, DKIM, DMARC) would have caught the same attack in the wild, not just the simulated one.<\/span><\/p>\n<p><b>Q &#8211; How often should organizations run phishing simulations?<\/b><span style=\"font-weight: 400;\">\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">A &#8211;\u00a0 Quarterly at minimum; monthly for high-risk departments like finance and executive teams.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Quick Answer: To properly analyze a phishing email simulation, use these four steps:\u00a0 Evaluate click and reporting metrics. Review <a href=\"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/\" >Read More&#8230;<\/a><\/p>\n","protected":false},"author":8,"featured_media":7585,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"class_list":["post-7580","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-forensics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How to Analyze a Phishing Email Simulation<\/title>\n<meta name=\"description\" content=\"Complete guide to analyzing phishing simulations, covering metrics, header forensics, user behavior, and remediation steps.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Analyze a Phishing Email Simulation\" \/>\n<meta property=\"og:description\" content=\"Complete guide to analyzing phishing simulations, covering metrics, header forensics, user behavior, and remediation steps.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/\" \/>\n<meta property=\"og:site_name\" content=\"MailXaminer Official Blog\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-20T11:30:57+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-20T11:42:36+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.mailxaminer.com\/blog\/wp-content\/uploads\/2026\/07\/analyze-phishing-email-1.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"627\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Mansi Joshi\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Mansi Joshi\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/\"},\"author\":{\"name\":\"Mansi Joshi\",\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/#\\\/schema\\\/person\\\/c9207395234d7178f353e02c45490a95\"},\"headline\":\"How to Analyze a Phishing Email Simulation\",\"datePublished\":\"2026-07-20T11:30:57+00:00\",\"dateModified\":\"2026-07-20T11:42:36+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/\"},\"wordCount\":863,\"image\":{\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/analyze-phishing-email-1.webp\",\"articleSection\":[\"Forensics\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/\",\"url\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/\",\"name\":\"How to Analyze a Phishing Email Simulation\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/analyze-phishing-email-1.webp\",\"datePublished\":\"2026-07-20T11:30:57+00:00\",\"dateModified\":\"2026-07-20T11:42:36+00:00\",\"author\":{\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/#\\\/schema\\\/person\\\/c9207395234d7178f353e02c45490a95\"},\"description\":\"Complete guide to analyzing phishing simulations, covering metrics, header forensics, user behavior, and remediation steps.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/#primaryimage\",\"url\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/analyze-phishing-email-1.webp\",\"contentUrl\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/analyze-phishing-email-1.webp\",\"width\":1200,\"height\":627,\"caption\":\"Phishing Simulation Analysis\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/analyze-phishing-email-simulation\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Blog Home\",\"item\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Forensics\",\"item\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/category\\\/forensics\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"How to Analyze a Phishing Email Simulation\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/#website\",\"url\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/\",\"name\":\"MailXaminer Official Blog\",\"description\":\"Tech Talks by Forensics Experts\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/#\\\/schema\\\/person\\\/c9207395234d7178f353e02c45490a95\",\"name\":\"Mansi Joshi\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/4a54472a1711bb8296f5bf3df3d4f5a01f1667ce788bdb2e834f92f9d7133ac2?s=96&d=mm&r=g\",\"url\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/4a54472a1711bb8296f5bf3df3d4f5a01f1667ce788bdb2e834f92f9d7133ac2?s=96&d=mm&r=g\",\"contentUrl\":\"https:\\\/\\\/secure.gravatar.com\\\/avatar\\\/4a54472a1711bb8296f5bf3df3d4f5a01f1667ce788bdb2e834f92f9d7133ac2?s=96&d=mm&r=g\",\"caption\":\"Mansi Joshi\"},\"description\":\"Tech enthusiast &amp; cyber expert for the past 5 years. Love to solve complicated scenarios to counter cyber crimes with in-depth technical knowledge.\",\"sameAs\":[\"https:\\\/\\\/www.linkedin.com\\\/in\\\/mansi-joshi-54414524a\\\/\",\"https:\\\/\\\/www.mailxaminer.com\\\/assets\\\/author\\\/mansi-joshi.png\"],\"url\":\"https:\\\/\\\/www.mailxaminer.com\\\/blog\\\/author\\\/mansi-joshi\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"How to Analyze a Phishing Email Simulation","description":"Complete guide to analyzing phishing simulations, covering metrics, header forensics, user behavior, and remediation steps.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/","og_locale":"en_US","og_type":"article","og_title":"How to Analyze a Phishing Email Simulation","og_description":"Complete guide to analyzing phishing simulations, covering metrics, header forensics, user behavior, and remediation steps.","og_url":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/","og_site_name":"MailXaminer Official Blog","article_published_time":"2026-07-20T11:30:57+00:00","article_modified_time":"2026-07-20T11:42:36+00:00","og_image":[{"width":1200,"height":627,"url":"https:\/\/www.mailxaminer.com\/blog\/wp-content\/uploads\/2026\/07\/analyze-phishing-email-1.webp","type":"image\/webp"}],"author":"Mansi Joshi","twitter_misc":{"Written by":"Mansi Joshi","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/#article","isPartOf":{"@id":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/"},"author":{"name":"Mansi Joshi","@id":"https:\/\/www.mailxaminer.com\/blog\/#\/schema\/person\/c9207395234d7178f353e02c45490a95"},"headline":"How to Analyze a Phishing Email Simulation","datePublished":"2026-07-20T11:30:57+00:00","dateModified":"2026-07-20T11:42:36+00:00","mainEntityOfPage":{"@id":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/"},"wordCount":863,"image":{"@id":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/#primaryimage"},"thumbnailUrl":"https:\/\/www.mailxaminer.com\/blog\/wp-content\/uploads\/2026\/07\/analyze-phishing-email-1.webp","articleSection":["Forensics"],"inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/","url":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/","name":"How to Analyze a Phishing Email Simulation","isPartOf":{"@id":"https:\/\/www.mailxaminer.com\/blog\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/#primaryimage"},"image":{"@id":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/#primaryimage"},"thumbnailUrl":"https:\/\/www.mailxaminer.com\/blog\/wp-content\/uploads\/2026\/07\/analyze-phishing-email-1.webp","datePublished":"2026-07-20T11:30:57+00:00","dateModified":"2026-07-20T11:42:36+00:00","author":{"@id":"https:\/\/www.mailxaminer.com\/blog\/#\/schema\/person\/c9207395234d7178f353e02c45490a95"},"description":"Complete guide to analyzing phishing simulations, covering metrics, header forensics, user behavior, and remediation steps.","breadcrumb":{"@id":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/#primaryimage","url":"https:\/\/www.mailxaminer.com\/blog\/wp-content\/uploads\/2026\/07\/analyze-phishing-email-1.webp","contentUrl":"https:\/\/www.mailxaminer.com\/blog\/wp-content\/uploads\/2026\/07\/analyze-phishing-email-1.webp","width":1200,"height":627,"caption":"Phishing Simulation Analysis"},{"@type":"BreadcrumbList","@id":"https:\/\/www.mailxaminer.com\/blog\/analyze-phishing-email-simulation\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Blog Home","item":"https:\/\/www.mailxaminer.com\/blog\/"},{"@type":"ListItem","position":2,"name":"Forensics","item":"https:\/\/www.mailxaminer.com\/blog\/category\/forensics\/"},{"@type":"ListItem","position":3,"name":"How to Analyze a Phishing Email Simulation"}]},{"@type":"WebSite","@id":"https:\/\/www.mailxaminer.com\/blog\/#website","url":"https:\/\/www.mailxaminer.com\/blog\/","name":"MailXaminer Official Blog","description":"Tech Talks by Forensics Experts","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.mailxaminer.com\/blog\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.mailxaminer.com\/blog\/#\/schema\/person\/c9207395234d7178f353e02c45490a95","name":"Mansi Joshi","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/secure.gravatar.com\/avatar\/4a54472a1711bb8296f5bf3df3d4f5a01f1667ce788bdb2e834f92f9d7133ac2?s=96&d=mm&r=g","url":"https:\/\/secure.gravatar.com\/avatar\/4a54472a1711bb8296f5bf3df3d4f5a01f1667ce788bdb2e834f92f9d7133ac2?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/4a54472a1711bb8296f5bf3df3d4f5a01f1667ce788bdb2e834f92f9d7133ac2?s=96&d=mm&r=g","caption":"Mansi Joshi"},"description":"Tech enthusiast &amp; cyber expert for the past 5 years. Love to solve complicated scenarios to counter cyber crimes with in-depth technical knowledge.","sameAs":["https:\/\/www.linkedin.com\/in\/mansi-joshi-54414524a\/","https:\/\/www.mailxaminer.com\/assets\/author\/mansi-joshi.png"],"url":"https:\/\/www.mailxaminer.com\/blog\/author\/mansi-joshi\/"}]}},"_links":{"self":[{"href":"https:\/\/www.mailxaminer.com\/blog\/wp-json\/wp\/v2\/posts\/7580","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.mailxaminer.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.mailxaminer.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.mailxaminer.com\/blog\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/www.mailxaminer.com\/blog\/wp-json\/wp\/v2\/comments?post=7580"}],"version-history":[{"count":4,"href":"https:\/\/www.mailxaminer.com\/blog\/wp-json\/wp\/v2\/posts\/7580\/revisions"}],"predecessor-version":[{"id":7587,"href":"https:\/\/www.mailxaminer.com\/blog\/wp-json\/wp\/v2\/posts\/7580\/revisions\/7587"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.mailxaminer.com\/blog\/wp-json\/wp\/v2\/media\/7585"}],"wp:attachment":[{"href":"https:\/\/www.mailxaminer.com\/blog\/wp-json\/wp\/v2\/media?parent=7580"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.mailxaminer.com\/blog\/wp-json\/wp\/v2\/categories?post=7580"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}