{"id":8311284,"date":"2025-09-22T05:46:30","date_gmt":"2025-09-22T02:46:30","guid":{"rendered":"https:\/\/elementor.com\/tools\/?p=8311284"},"modified":"2025-09-22T05:57:44","modified_gmt":"2025-09-22T02:57:44","slug":"lifetime-value-cohort-analyzer","status":"publish","type":"post","link":"https:\/\/elementor.com\/tools\/lifetime-value-cohort-analyzer\/","title":{"rendered":"Lifetime Value Cohort Analyzer"},"content":{"rendered":"\t\t<div data-elementor-type=\"container\" data-elementor-id=\"8311281\" class=\"elementor elementor-8311281\" data-elementor-post-type=\"elementor_library\">\n\t\t\t\t<div class=\"elementor-element elementor-element-23691a2c e-flex e-con-boxed e-con e-parent\" data-id=\"23691a2c\" data-element_type=\"container\" data-e-type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-37c3711c elementor-widget elementor-widget-html\" data-id=\"37c3711c\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<style>\r\n    \/* --- Styles Adapted from Your Provided Code --- *\/\r\n    .ltv-analyzer-app {\r\n        width: 100%;\r\n        max-width: 1280px;\r\n        margin: 0 auto;\r\n        padding: 40px 0 0;\r\n        font-family: 'DM Sans', sans-serif; \/* Using font from your example *\/\r\n    }\r\n\r\n    .input-section, .output-section {\r\n        width: 100%;\r\n        background: white;\r\n        border-radius: 8px;\r\n        overflow: hidden;\r\n        border: 1.5px solid #EBEBEB;\r\n        box-shadow: 0 4px 12px rgba(0,0,0,0.05);\r\n        margin-bottom: 30px;\r\n    }\r\n\r\n    .section-header {\r\n        background-color: #05047E;\r\n        color: white;\r\n        padding: 12px 20px;\r\n        font-weight: 500;\r\n        font-size: 1.125rem;\r\n    }\r\n\r\n    .textarea-container {\r\n        padding: 20px;\r\n    }\r\n\r\n    .code-textarea {\r\n        width: 100%;\r\n        min-height: 200px;\r\n        border: 1px solid #ddd;\r\n        border-radius: 4px;\r\n        outline: none;\r\n        padding: 15px;\r\n        font-family: 'Courier New', monospace;\r\n        font-size: 14px;\r\n        line-height: 1.6;\r\n        background-color: #fdfdfd;\r\n        resize: vertical;\r\n        color: #333;\r\n    }\r\n\r\n    .code-textarea::placeholder {\r\n        color: #adb5bd;\r\n        font-style: italic;\r\n    }\r\n\r\n    .controls-container {\r\n        display: flex;\r\n        justify-content: center;\r\n        align-items: center;\r\n        flex-direction: column;\r\n        gap: 15px;\r\n        padding: 0 20px 30px;\r\n    }\r\n\r\n    .format-btn {\r\n        background-color: #000;\r\n        color: white;\r\n        border: none;\r\n        padding: 12px 28px;\r\n        border-radius: 4px;\r\n        cursor: pointer;\r\n        font-size: 1.125rem;\r\n        font-weight: 500;\r\n        transition: all 0.2s;\r\n        min-width: 12rem;\r\n        text-align: center;\r\n    }\r\n\r\n    .format-btn:hover {\r\n        background-color: #545454;\r\n    }\r\n    \r\n    #analyzeBtn {\r\n        background-color: #ff7be5; \/* Using your minifyBtn style for the primary action *\/\r\n        color: black;\r\n    }\r\n\r\n    #analyzeBtn:hover {\r\n        background-color: #ffa8ee;\r\n    }\r\n\r\n    .reset-btn {\r\n        background: none;\r\n        border: none;\r\n        color: #545454;\r\n        text-decoration: underline;\r\n        font-size: 1rem;\r\n        cursor: pointer;\r\n        padding: 0;\r\n        transition: color 0.2s;\r\n    }\r\n\r\n    .reset-btn:hover {\r\n        color: black;\r\n    }\r\n    \r\n    .output-container {\r\n        padding: 20px;\r\n        overflow-x: auto; \/* For smaller screens *\/\r\n    }\r\n\r\n    .output-container p {\r\n        color: #6c757d;\r\n        text-align: center;\r\n        font-size: 1rem;\r\n        padding: 40px 0;\r\n    }\r\n    \r\n    \/* --- New Styles for the Cohort Table --- *\/\r\n    .cohort-table {\r\n        width: 100%;\r\n        border-collapse: collapse;\r\n        font-size: 0.9rem;\r\n        text-align: center;\r\n    }\r\n\r\n    .cohort-table th, .cohort-table td {\r\n        padding: 12px 15px;\r\n        border: 1px solid #dee2e6;\r\n    }\r\n\r\n    .cohort-table thead th {\r\n        background-color: #f8f9fa;\r\n        color: #495057;\r\n        font-weight: 600;\r\n        position: sticky;\r\n        top: 0;\r\n        z-index: 1;\r\n    }\r\n    \r\n    .cohort-table tbody tr:hover {\r\n        background-color: #f1f3f5;\r\n    }\r\n    \r\n    .cohort-table td.cohort-label, .cohort-table td.cohort-size {\r\n        background-color: #f8f9fa;\r\n        font-weight: 600;\r\n    }\r\n\r\n    \/* Heatmap colors for LTV values *\/\r\n    .cohort-table td.value-cell {\r\n        color: #333;\r\n        transition: background-color 0.3s;\r\n    }\r\n    .heat-0 { background-color: rgba(230, 245, 255, 0.3); }\r\n    .heat-1 { background-color: rgba(184, 233, 255, 0.5); }\r\n    .heat-2 { background-color: rgba(133, 212, 255, 0.6); }\r\n    .heat-3 { background-color: rgba(82, 196, 255, 0.7); }\r\n    .heat-4 { background-color: rgba(38, 166, 255, 0.8); }\r\n    .heat-5 { background-color: rgba(1, 135, 255, 0.9); }\r\n    .heat-6 { background-color: rgba(0, 108, 229, 0.9); }\r\n    .heat-7 { background-color: rgba(0, 82, 178, 0.9); }\r\n\r\n    .error-message {\r\n        color: #cf2e2e;\r\n        margin-top: 10px;\r\n        text-align: center;\r\n        font-weight: 500;\r\n        display: none; \/* Hidden by default *\/\r\n    }\r\n\r\n<\/style>\r\n\r\n<div class=\"ltv-analyzer-app\">\r\n    <!-- Input Section -->\r\n    <div class=\"input-section\">\r\n        <div class=\"section-header\">Input Data (CSV Format)<\/div>\r\n        <div class=\"textarea-container\">\r\n            <textarea id=\"csvDataInput\" class=\"code-textarea\" placeholder=\"Paste your CSV data here.\r\nRequired columns: user_id, signup_date, purchase_date, purchase_value\r\nDates should be in YYYY-MM-DD format. No header row.\r\n\r\nExample:\r\nu1,2023-01-05,2023-01-10,50\r\nu2,2023-01-15,2023-01-20,75\r\nu1,2023-01-05,2023-02-12,25\r\nu3,2023-02-01,2023-02-05,100\r\nu2,2023-01-15,2023-03-10,30\r\n...\"><\/textarea>\r\n        <\/div>\r\n    <\/div>\r\n\r\n    <!-- Controls -->\r\n    <div class=\"controls-container\">\r\n        <button id=\"analyzeBtn\" class=\"format-btn\">Analyze Cohorts<\/button>\r\n        <button id=\"resetBtn\" class=\"reset-btn\">Reset<\/button>\r\n        <div id=\"errorMessage\" class=\"error-message\"><\/div>\r\n    <\/div>\r\n\r\n    <!-- Output Section -->\r\n    <div class=\"output-section\">\r\n        <div class=\"section-header\">Cohort Analysis: Cumulative LTV per User<\/div>\r\n        <div id=\"cohortTableContainer\" class=\"output-container\">\r\n            <p>Results will be displayed here after analysis.<\/p>\r\n        <\/div>\r\n    <\/div>\r\n<\/div>\r\n\r\n<script>\r\n    document.addEventListener('DOMContentLoaded', () => {\r\n        const analyzeBtn = document.getElementById('analyzeBtn');\r\n        const resetBtn = document.getElementById('resetBtn');\r\n        const csvDataInput = document.getElementById('csvDataInput');\r\n        const cohortTableContainer = document.getElementById('cohortTableContainer');\r\n        const errorMessage = document.getElementById('errorMessage');\r\n\r\n        const initialPlaceholder = '<p>Results will be displayed here after analysis.<\/p>';\r\n\r\n        analyzeBtn.addEventListener('click', runAnalysis);\r\n        resetBtn.addEventListener('click', resetTool);\r\n\r\n        function resetTool() {\r\n            csvDataInput.value = '';\r\n            cohortTableContainer.innerHTML = initialPlaceholder;\r\n            errorMessage.style.display = 'none';\r\n            errorMessage.textContent = '';\r\n        }\r\n\r\n        function showError(message) {\r\n            errorMessage.textContent = message;\r\n            errorMessage.style.display = 'block';\r\n        }\r\n\r\n        function runAnalysis() {\r\n            errorMessage.style.display = 'none';\r\n            const data = csvDataInput.value.trim();\r\n            if (!data) {\r\n                showError('Input data cannot be empty.');\r\n                return;\r\n            }\r\n\r\n            try {\r\n                \/\/ 1. Parse Data and Define Cohorts\r\n                const lines = data.split('\\n').filter(line => line.trim() !== '');\r\n                const userCohorts = {}; \/\/ { userId: 'YYYY-MM' }\r\n                const transactions = [];\r\n\r\n                lines.forEach((line, index) => {\r\n                    const parts = line.split(',').map(p => p.trim());\r\n                    if (parts.length !== 4) {\r\n                        throw new Error(`Invalid data on line ${index + 1}: Expected 4 columns.`);\r\n                    }\r\n                    const [userId, signupDateStr, purchaseDateStr, purchaseValueStr] = parts;\r\n                    const purchaseValue = parseFloat(purchaseValueStr);\r\n\r\n                    if (isNaN(purchaseValue)) {\r\n                         throw new Error(`Invalid purchase value on line ${index + 1}.`);\r\n                    }\r\n\r\n                    const signupDate = new Date(signupDateStr + 'T00:00:00');\r\n                    const purchaseDate = new Date(purchaseDateStr + 'T00:00:00');\r\n\r\n                    if (isNaN(signupDate.getTime()) || isNaN(purchaseDate.getTime())) {\r\n                        throw new Error(`Invalid date format on line ${index + 1}. Use YYYY-MM-DD.`);\r\n                    }\r\n\r\n                    \/\/ Assign user to a cohort based on their first seen signup date\r\n                    if (!userCohorts[userId]) {\r\n                        userCohorts[userId] = signupDate.toISOString().slice(0, 7); \/\/ 'YYYY-MM'\r\n                    }\r\n                    transactions.push({ userId, purchaseDate, purchaseValue });\r\n                });\r\n\r\n                \/\/ 2. Process Transactions and Aggregate Data\r\n                const cohortData = {}; \/\/ { 'YYYY-MM': { cohortSize: N, monthlyValues: [v0, v1, ...] } }\r\n\r\n                \/\/ Initialize cohortData with cohort sizes\r\n                Object.values(userCohorts).forEach(cohortMonth => {\r\n                    if (!cohortData[cohortMonth]) {\r\n                        cohortData[cohortMonth] = {\r\n                            users: new Set(),\r\n                            monthlyValues: []\r\n                        };\r\n                    }\r\n                });\r\n                Object.keys(userCohorts).forEach(userId => {\r\n                    const cohortMonth = userCohorts[userId];\r\n                    cohortData[cohortMonth].users.add(userId);\r\n                });\r\n                Object.keys(cohortData).forEach(cohortMonth => {\r\n                    cohortData[cohortMonth].cohortSize = cohortData[cohortMonth].users.size;\r\n                    delete cohortData[cohortMonth].users;\r\n                });\r\n                \r\n\r\n                \/\/ Aggregate purchase values by cohort and month offset\r\n                transactions.forEach(({ userId, purchaseDate, purchaseValue }) => {\r\n                    const cohortMonth = userCohorts[userId];\r\n                    if (!cohortMonth) return;\r\n\r\n                    const cohortStartDate = new Date(cohortMonth + '-01T00:00:00');\r\n                    \r\n                    const monthDiff = (purchaseDate.getFullYear() - cohortStartDate.getFullYear()) * 12 +\r\n                                      (purchaseDate.getMonth() - cohortStartDate.getMonth());\r\n\r\n                    if (monthDiff >= 0) {\r\n                        if (!cohortData[cohortMonth].monthlyValues[monthDiff]) {\r\n                            cohortData[cohortMonth].monthlyValues[monthDiff] = 0;\r\n                        }\r\n                        cohortData[cohortMonth].monthlyValues[monthDiff] += purchaseValue;\r\n                    }\r\n                });\r\n                \r\n                \/\/ 3. Generate HTML Table\r\n                generateTable(cohortData);\r\n\r\n            } catch (error) {\r\n                showError(error.message);\r\n                cohortTableContainer.innerHTML = initialPlaceholder;\r\n            }\r\n        }\r\n        \r\n        function generateTable(cohortData) {\r\n            const sortedCohorts = Object.keys(cohortData).sort();\r\n            if (sortedCohorts.length === 0) {\r\n                cohortTableContainer.innerHTML = '<p>No valid cohorts found in the provided data.<\/p>';\r\n                return;\r\n            }\r\n\r\n            let maxMonths = 0;\r\n            sortedCohorts.forEach(cohort => {\r\n                maxMonths = Math.max(maxMonths, cohortData[cohort].monthlyValues.length);\r\n            });\r\n            \r\n            \/\/ --- Find max LTV for heatmap scaling ---\r\n            let maxLtv = 0;\r\n            sortedCohorts.forEach(cohortMonth => {\r\n                const { cohortSize, monthlyValues } = cohortData[cohortMonth];\r\n                let cumulativeValue = 0;\r\n                for (let i = 0; i < monthlyValues.length; i++) {\r\n                    cumulativeValue += (monthlyValues[i] || 0);\r\n                    const ltv = cumulativeValue \/ cohortSize;\r\n                    if (ltv > maxLtv) maxLtv = ltv;\r\n                }\r\n            });\r\n\r\n            \/\/ --- Build Table Header ---\r\n            let tableHtml = '<table class=\"cohort-table\"><thead><tr><th>Cohort<\/th><th>Users<\/th>';\r\n            for (let i = 0; i < maxMonths; i++) {\r\n                tableHtml += `<th>Month ${i + 1}<\/th>`;\r\n            }\r\n            tableHtml += '<\/tr><\/thead><tbody>';\r\n\r\n            \/\/ --- Build Table Body ---\r\n            sortedCohorts.forEach(cohortMonth => {\r\n                const { cohortSize, monthlyValues } = cohortData[cohortMonth];\r\n                const cohortDate = new Date(cohortMonth + '-01T00:00:00');\r\n                const cohortLabel = cohortDate.toLocaleString('default', { month: 'short', year: 'numeric' });\r\n\r\n                tableHtml += `<tr><td class=\"cohort-label\">${cohortLabel}<\/td><td class=\"cohort-size\">${cohortSize}<\/td>`;\r\n\r\n                let cumulativeValue = 0;\r\n                for (let i = 0; i < maxMonths; i++) {\r\n                    cumulativeValue += (monthlyValues[i] || 0);\r\n                    \r\n                    if (i < monthlyValues.length && monthlyValues[i] !== undefined) {\r\n                        const ltv = cumulativeValue \/ cohortSize;\r\n                        const heatLevel = Math.min(Math.floor((ltv \/ maxLtv) * 7), 7);\r\n                        const heatClass = `heat-${heatLevel}`;\r\n                        tableHtml += `<td class=\"value-cell ${heatClass}\">$${ltv.toFixed(2)}<\/td>`;\r\n                    } else {\r\n                        tableHtml += `<td><\/td>`; \/\/ Empty cell for future months\r\n                    }\r\n                }\r\n                tableHtml += '<\/tr>';\r\n            });\r\n\r\n            tableHtml += '<\/tbody><\/table>';\r\n            cohortTableContainer.innerHTML = tableHtml;\r\n        }\r\n    });\r\n<\/script>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":5,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[22],"tags":[21],"class_list":["post-8311284","post","type-post","status-publish","format-standard","hentry","category-tools","tag-html-css-tools"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Lifetime Value Cohort Analyzer<\/title>\n<meta name=\"description\" content=\"Discover how to boost your business growth with the Lifetime Value Cohort Analyzer. 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