{"id":8815,"date":"2026-08-05T15:36:49","date_gmt":"2026-08-05T13:36:49","guid":{"rendered":"https:\/\/www.lukaswojcik.com\/blog\/?p=8815"},"modified":"2026-08-05T18:49:55","modified_gmt":"2026-08-05T16:49:55","slug":"ga4-anomaly-detector","status":"publish","type":"page","link":"https:\/\/www.lukaswojcik.com\/blog\/en\/toolbox\/ga4-anomaly-detector\/","title":{"rendered":"GA4 Anomaly Detector"},"content":{"rendered":"<p><script src=\"https:\/\/accounts.google.com\/gsi\/client\" async defer><\/script><\/p>\n<div class=\"ga4-anomaly-container\" style=\"background: var(--bg-panel, #1e1e24); padding: 25px; border-radius: 8px; border: 1px solid var(--border, #2a2a35);\">\n<p style=\"color: var(--text-secondary); margin-bottom: 20px; line-height: 1.6;\">\n        Connect directly to the <strong>Google Analytics Data API v1<\/strong> via OAuth 2.0 to scan standard property metrics for statistical anomalies, sudden traffic spikes, or tracking drops.<br \/>\n        All Z-score statistical calculations execute locally in your browser &mdash; zero analytical data is stored or transmitted to our servers.\n    <\/p>\n<p>    <!-- STEP 1: OAUTH & AUTHENTICATION --><\/p>\n<div style=\"background: var(--bg-body, #101416); padding: 20px; border-radius: 8px; border: 1px solid var(--border); margin-bottom: 20px;\">\n<h3 style=\"color: var(--accent); font-size: 1rem; margin-top: 0; margin-bottom: 12px;\">1. Google Analytics API Authentication<\/h3>\n<div style=\"display: flex; gap: 15px; flex-wrap: wrap; align-items: flex-end;\">\n<div style=\"flex: 1; min-width: 280px;\">\n                <label style=\"color: var(--text-secondary); display: block; font-size: 0.85rem; margin-bottom: 6px;\">Google Cloud OAuth Client ID:<\/label><br \/>\n                <input type=\"text\" id=\"ga4-client-id\" value=\"423029313598-2ko0jilc28eevp253rqncvodg2181e1l.apps.googleusercontent.com\" class=\"form-control\" style=\"width: 100%; padding: 10px; background: var(--bg-panel); border: 1px solid var(--border); color: var(--text-primary); border-radius: 6px; font-family: monospace;\">\n            <\/div>\n<div>\n                <button id=\"ga4-auth-btn\" class=\"button\" style=\"background: var(--accent); color: #0b1114; border: none; padding: 11px 22px; border-radius: 6px; font-weight: 700; cursor: pointer;\">Authorize with Google<\/button>\n            <\/div>\n<\/p><\/div>\n<div id=\"ga4-auth-status\" style=\"margin-top: 10px; font-size: 0.85rem; color: var(--text-secondary);\">Status: <strong style=\"color: #ff6b6b;\">Not connected<\/strong><\/div>\n<\/p><\/div>\n<p>    <!-- STEP 2: PROPERTY & SCAN CONFIGURATION --><\/p>\n<div id=\"ga4-config-panel\" style=\"background: var(--bg-body); padding: 20px; border-radius: 8px; border: 1px solid var(--border); margin-bottom: 20px; display: none;\">\n<h3 style=\"color: var(--accent); font-size: 1rem; margin-top: 0; margin-bottom: 12px;\">2. Property &amp; Anomaly Scan Configuration<\/h3>\n<div style=\"display: grid; grid-template-columns: repeat(auto-fit, minmax(200px, 1fr)); gap: 15px; margin-bottom: 15px;\">\n<div>\n                <label style=\"color: var(--text-secondary); display: block; font-size: 0.85rem; margin-bottom: 6px;\">GCP Project Reference:<\/label><br \/>\n                <input type=\"text\" id=\"gcp-project-id\" value=\"lukaswojcik\" placeholder=\"lukaswojcik\" style=\"width: 100%; padding: 10px; background: var(--bg-panel); color: var(--text-primary); border: 1px solid var(--border); border-radius: 6px; font-family: monospace;\">\n            <\/div>\n<div>\n                <label style=\"color: var(--text-secondary); display: block; font-size: 0.85rem; margin-bottom: 6px;\">GA4 Property ID (Numeric):<\/label><br \/>\n                <input type=\"text\" id=\"ga4-property-id\" placeholder=\"e.g., 345678901\" style=\"width: 100%; padding: 10px; background: var(--bg-panel); color: var(--text-primary); border: 1px solid var(--border); border-radius: 6px; font-family: monospace;\">\n            <\/div>\n<div>\n                <label style=\"color: var(--text-secondary); display: block; font-size: 0.85rem; margin-bottom: 6px;\">Baseline Timeframe:<\/label><br \/>\n                <select id=\"ga4-timeframe\" style=\"width: 100%; padding: 10px; background: var(--bg-panel); color: var(--text-primary); border: 1px solid var(--border); border-radius: 6px;\"><option value=\"30daysAgo\" selected>Last 30 Days (Recommended)<\/option><option value=\"60daysAgo\">Last 60 Days<\/option><option value=\"90daysAgo\">Last 90 Days<\/option><\/select>\n            <\/div>\n<div>\n                <label style=\"color: var(--text-secondary); display: block; font-size: 0.85rem; margin-bottom: 6px;\">Sensitivity (Z-Score Threshold):<\/label><br \/>\n                <select id=\"ga4-sensitivity\" style=\"width: 100%; padding: 10px; background: var(--bg-panel); color: var(--text-primary); border: 1px solid var(--border); border-radius: 6px;\"><option value=\"1.8\">High Sensitivity (&plusmn;1.8&sigma;)<\/option><option value=\"2.0\" selected>Standard Enterprise (&plusmn;2.0&sigma;)<\/option><option value=\"2.5\">Strict \/ Major Deviations Only (&plusmn;2.5&sigma;)<\/option><\/select>\n            <\/div>\n<\/p><\/div>\n<div style=\"display: flex; justify-content: flex-end;\">\n            <button id=\"run-anomaly-scan-btn\" class=\"button\" style=\"background: var(--accent); color: #0b1114; border: none; padding: 11px 26px; border-radius: 6px; font-weight: 700; cursor: pointer;\">Scan GA4 Metrics for Anomalies<\/button>\n        <\/div>\n<\/p><\/div>\n<p>    <!-- SCAN STATUS \/ SUMMARY BAR --><\/p>\n<div id=\"anomaly-summary-bar\" style=\"margin-bottom: 20px;\"><\/div>\n<p>    <!-- ANOMALY RESULTS CONTAINER --><\/p>\n<div id=\"anomaly-results-container\"><\/div>\n<\/div>\n<p><script>\n(() => {\n    let accessToken = null;\n    let tokenClient = null;<\/p>\n<p>    const authBtn = document.getElementById(\"ga4-auth-btn\");\n    const authStatus = document.getElementById(\"ga4-auth-status\");\n    const configPanel = document.getElementById(\"ga4-config-panel\");\n    const runScanBtn = document.getElementById(\"run-anomaly-scan-btn\");\n    const summaryBar = document.getElementById(\"anomaly-summary-bar\");\n    const resultsContainer = document.getElementById(\"anomaly-results-container\");<\/p>\n<p>    const esc = (str) => String(str).replace(\/&\/g, \"&amp;\").replace(\/<\/g, \"&lt;\").replace(\/>\/g, \"&gt;\");<\/p>\n<p>    \/\/ METRICS TO EVALUATE\n    const TRACKED_METRICS = [\n        { name: \"sessions\", label: \"Sessions\", isRate: false },\n        { name: \"totalUsers\", label: \"Total Users\", isRate: false },\n        { name: \"screenPageViews\", label: \"Page Views\", isRate: false },\n        { name: \"conversions\", label: \"Conversions\", isRate: false },\n        { name: \"eventCount\", label: \"Event Count\", isRate: false },\n        { name: \"totalRevenue\", label: \"Total Revenue\", isRate: false },\n        { name: \"engagementRate\", label: \"Engagement Rate\", isRate: true }\n    ];<\/p>\n<p>    \/\/ 1. OAUTH 2.0 INITIALIZATION\n    authBtn.addEventListener(\"click\", () => {\n        const clientId = document.getElementById(\"ga4-client-id\").value.trim();\n        if (!clientId) {\n            alert(\"Please enter a valid Google Cloud Client ID.\");\n            return;\n        }<\/p>\n<p>        if (!window.google || !google.accounts || !google.accounts.oauth2) {\n            alert(\"Google Identity Services script is still loading. Please try again in a moment.\");\n            return;\n        }<\/p>\n<p>        tokenClient = google.accounts.oauth2.initTokenClient({\n            client_id: clientId,\n            scope: \"https:\/\/www.googleapis.com\/auth\/analytics.readonly\",\n            callback: (resp) => {\n                if (resp.error) {\n                    authStatus.innerHTML = \"Status: <strong style='color:#ff6b6b;'>Auth Error: \" + esc(resp.error) + \"<\/strong>\";\n                    return;\n                }\n                accessToken = resp.access_token;\n                authStatus.innerHTML = \"Status: <strong style='color:#51cf66;'>Connected (Analytics Read-Only)<\/strong>\";\n                configPanel.style.display = \"block\";\n            }\n        });\n        tokenClient.requestAccessToken();\n    });<\/p>\n<p>    \/\/ 2. STATISTICAL ANOMALY DETECTION ENGINE (Z-SCORE)\n    const calculateStats = (values) => {\n        const n = values.length;\n        if (n === 0) return { mean: 0, stdev: 0 };\n        const mean = values.reduce((acc, v) => acc + v, 0) \/ n;\n        const variance = values.reduce((acc, v) => acc + Math.pow(v - mean, 2), 0) \/ n;\n        return { mean: mean, stdev: Math.sqrt(variance) };\n    };<\/p>\n<p>    const formatDateStr = (dateStr) => {\n        if (dateStr.length === 8) {\n            return dateStr.substring(0, 4) + \"-\" + dateStr.substring(4, 6) + \"-\" + dateStr.substring(6, 8);\n        }\n        return dateStr;\n    };<\/p>\n<p>    const getBadgeHtml = (type) => {\n        if (type === \"SPIKE\") {\n            return \"<span style='background:#18382b; color:#51cf66; padding:4px 10px; border-radius:4px; font-size:0.75rem; font-weight:700; text-transform:uppercase;'>&uarr; SPIKE (+Anomaly)<\/span>\";\n        }\n        return \"<span style='background:#471a1a; color:#ff6b6b; padding:4px 10px; border-radius:4px; font-size:0.75rem; font-weight:700; text-transform:uppercase;'>&darr; DROP (-Anomaly)<\/span>\";\n    };<\/p>\n<p>    \/\/ 3. EXECUTE GA4 DATA API RUN REPORT\n    runScanBtn.addEventListener(\"click\", async () => {\n        const propertyId = document.getElementById(\"ga4-property-id\").value.trim().replace(\/^properties\\\/\/i, \"\");\n        const timeframe = document.getElementById(\"ga4-timeframe\").value;\n        const zThreshold = parseFloat(document.getElementById(\"ga4-sensitivity\").value) || 2.0;<\/p>\n<p>        if (!propertyId || isNaN(propertyId)) {\n            alert(\"Please enter a valid numeric GA4 Property ID (e.g., 345678901).\");\n            return;\n        }<\/p>\n<p>        runScanBtn.disabled = true;\n        runScanBtn.textContent = \"Scanning GA4 Time-Series Data...\";\n        summaryBar.innerHTML = \"\";\n        resultsContainer.innerHTML = \"\";<\/p>\n<p>        try {\n            \/\/ Fetch daily data for all standard metrics ending yesterday (avoiding today's partial day data)\n            const response = await fetch(\"https:\/\/analyticsdata.googleapis.com\/v1beta\/properties\/\" + propertyId + \":runReport\", {\n                method: \"POST\",\n                headers: {\n                    \"Authorization\": \"Bearer \" + accessToken,\n                    \"Content-Type\": \"application\/json\"\n                },\n                body: JSON.stringify({\n                    dateRanges: [{ startDate: timeframe, endDate: \"yesterday\" }],\n                    dimensions: [{ name: \"date\" }],\n                    metrics: TRACKED_METRICS.map(m => ({ name: m.name })),\n                    orderBys: [{ dimension: { dimensionName: \"date\" } }],\n                    limit: 1000\n                })\n            });<\/p>\n<p>            if (!response.ok) {\n                const errJson = await response.json().catch(() => ({}));\n                const errMsg = errJson.error ? errJson.error.message : response.statusText;\n                throw new Error(errMsg);\n            }<\/p>\n<p>            const data = await response.json();\n            const rows = data.rows || [];\n            const daysScanned = rows.length;<\/p>\n<p>            if (daysScanned < 5) {\n                throw new Error(\"Insufficient historical days returned (\" + daysScanned + \" days) to calculate accurate Z-score statistics.\");\n            }\n\n            const anomalies = [];\n\n            \/\/ Process each metric independently\n            TRACKED_METRICS.forEach((metric, idx) => {\n                const dailySeries = rows.map(r => ({\n                    date: r.dimensionValues[0].value,\n                    val: parseFloat(r.metricValues[idx].value || 0)\n                }));<\/p>\n<p>                const values = dailySeries.map(item => item.val);\n                const stats = calculateStats(values);<\/p>\n<p>                \/\/ Skip flat metrics (stdev = 0 or near 0)\n                if (stats.stdev <= 0.0001) return;\n\n                dailySeries.forEach(item => {\n                    const zScore = (item.val - stats.mean) \/ stats.stdev;\n                    if (Math.abs(zScore) >= zThreshold) {\n                        const devPct = stats.mean > 0 ? ((item.val - stats.mean) \/ stats.mean) * 100 : 0;\n                        anomalies.push({\n                            metricName: metric.label,\n                            isRate: metric.isRate,\n                            date: formatDateStr(item.date),\n                            value: item.val,\n                            mean: stats.mean,\n                            stdev: stats.stdev,\n                            zScore: zScore,\n                            devPct: devPct,\n                            type: zScore > 0 ? \"SPIKE\" : \"DROP\"\n                        });\n                    }\n                });\n            });<\/p>\n<p>            \/\/ 4. RENDER SUMMARY & ANOMALY RESULTS\n            summaryBar.innerHTML = [\n                \"<\/p>\n<div style='background:var(--bg-body); padding:16px 20px; border-radius:8px; border:1px solid var(--border); display:flex; justify-content:space-between; align-items:center; flex-wrap:wrap; gap:15px;'>\",\n                \"  <\/p>\n<div>\",\n                \"    <span style='color:var(--text-secondary); font-size:0.85rem; display:block;'>GA4 Metrics Checked<\/span>\",\n                \"    <strong style='color:var(--accent); font-size:1.4rem;'>\" + TRACKED_METRICS.length + \" Standard Metrics<\/strong>\",\n                \"  <\/div>\n<p>\",\n                \"  <\/p>\n<div>\",\n                \"    <span style='color:var(--text-secondary); font-size:0.85rem; display:block;'>Historical Timeline<\/span>\",\n                \"    <strong style='color:var(--text-primary); font-size:1.4rem;'>\" + daysScanned + \" full days<\/strong>\",\n                \"  <\/div>\n<p>\",\n                \"  <\/p>\n<div>\",\n                \"    <span style='color:var(--text-secondary); font-size:0.85rem; display:block;'>Anomalies Found<\/span>\",\n                \"    <strong style='color:\" + (anomalies.length > 0 ? \"#ff922b\" : \"#51cf66\") + \"; font-size:1.4rem;'>\" + anomalies.length + \" events<\/strong>\",\n                \"  <\/div>\n<p>\",\n                \"<\/p><\/div>\n<p>\"\n            ].join(\"\");<\/p>\n<p>            if (anomalies.length === 0) {\n                resultsContainer.innerHTML = \"<\/p>\n<div style='background:var(--bg-body); padding:30px; border-radius:8px; border:1px solid var(--border); text-align:center; color:#51cf66; font-weight:bold; font-size:1.1rem;'>\u2714 All Clear: No statistical anomalies or sudden spikes\/drops detected across \" + TRACKED_METRICS.length + \" metrics in the last \" + daysScanned + \" days!<\/div>\n<p>\";\n                return;\n            }<\/p>\n<p>            \/\/ Sort anomalies by most recent date first, then by absolute Z-score severity\n            anomalies.sort((a, b) => {\n                if (b.date !== a.date) return b.date.localeCompare(a.date);\n                return Math.abs(b.zScore) - Math.abs(a.zScore);\n            });<\/p>\n<p>            const cardsHtml = anomalies.map(a => {\n                const valFmt = a.isRate ? (a.value * 100).toFixed(2) + \"%\" : a.value.toLocaleString();\n                const meanFmt = a.isRate ? (a.mean * 100).toFixed(2) + \"%\" : Math.round(a.mean).toLocaleString();\n                const devSign = a.devPct >= 0 ? \"+\" : \"\";<\/p>\n<p>                return [\n                    \"<\/p>\n<div style='background:var(--bg-body); border:1px solid var(--border); border-radius:8px; padding:18px; margin-bottom:15px; display:flex; justify-content:space-between; align-items:center; flex-wrap:wrap; gap:15px;'>\",\n                    \"  <\/p>\n<div style='min-width:220px;'>\",\n                    \"    <\/p>\n<div style='color:var(--text-secondary); font-size:0.8rem; text-transform:uppercase; font-weight:700; margin-bottom:4px;'>\" + esc(a.date) + \"<\/div>\n<p>\",\n                    \"    <strong style='color:var(--text-primary); font-size:1.15rem; display:block;'>\" + esc(a.metricName) + \"<\/strong>\",\n                    \"  <\/div>\n<p>\",\n                    \"  <\/p>\n<div style='text-align:right;'>\",\n                    \"    <span style='color:var(--text-secondary); font-size:0.85rem; display:block;'>Actual vs Expected Avg<\/span>\",\n                    \"    <strong style='color:var(--text-primary); font-size:1.1rem; font-family:monospace;'>\" + valFmt + \" <span style='color:var(--text-secondary); font-weight:normal; font-size:0.95rem;'> (avg: \" + meanFmt + \")<\/span><\/strong>\",\n                    \"  <\/div>\n<p>\",\n                    \"  <\/p>\n<div style='text-align:right;'>\",\n                    \"    <span style='color:var(--text-secondary); font-size:0.85rem; display:block;'>Deviation (&sigma; Z-Score)<\/span>\",\n                    \"    <strong style='color:\" + (a.type === \"SPIKE\" ? \"#51cf66\" : \"#ff6b6b\") + \"; font-size:1.1rem; font-family:monospace;'>\" + devSign + a.devPct.toFixed(1) + \"% (\" + a.zScore.toFixed(2) + \"&sigma;)<\/strong>\",\n                    \"  <\/div>\n<p>\",\n                    \"  <\/p>\n<div>\" + getBadgeHtml(a.type) + \"<\/div>\n<p>\",\n                    \"<\/p><\/div>\n<p>\"\n                ].join(\"\");\n            }).join(\"\");<\/p>\n<p>            resultsContainer.innerHTML = [\n                \"<\/p>\n<h3 style='color:var(--text-primary); margin-bottom:15px; font-size:1.15rem;'>Detected Analytical Anomalies (\" + anomalies.length + \")<\/h3>\n<p>\",\n                cardsHtml\n            ].join(\"\");<\/p>\n<p>        } catch (e) {\n            resultsContainer.innerHTML = \"<\/p>\n<div style='background:var(--bg-body); padding:25px; border-radius:8px; border:1px solid #ff6b6b; color:#ff6b6b; font-weight:bold;'>GA4 API Error: \" + esc(e.message) + \"<\/div>\n<p>\";\n        } finally {\n            runScanBtn.disabled = false;\n            runScanBtn.textContent = \"Scan GA4 Metrics for Anomalies\";\n        }\n    });\n})();\n<\/script><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Flatten nested dataLayer JSON structures into copy-ready dot-notation paths for Google Tag Manager variables.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":38,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"template-tool-base.php","meta":{"footnotes":""},"class_list":["post-8815","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.1 - 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