Conversion Rate Optimizer

Conversion Rate Optimizer

Conversion Rate Calculator

Calculate your conversion rate by entering the total number of visitors and conversions.

A/B Test Statistical Significance

Determine if the results of your A/B test are statistically significant. Enter the data for your control and variation versions.

Control (Version A)

Variation (Version B)

A/B Test Sample Size Calculator

Estimate the number of visitors you need per variation to run a reliable A/B test.

Revenue Impact Calculator

Estimate the potential increase in revenue from improving your conversion rate.

Control CR

${formatNumber(crA*100)}%

Variation CR

${formatNumber(crB*100)}%

Uplift

${uplift >= 0 ? '+' : ''}${isFinite(uplift) ? formatNumber(uplift) : 'N/A'}%

Visitors (A/B)

${formatNumber(vA,0)} / ${formatNumber(vB,0)}

Interpretation

${resultText}
`; renderResult('ab-result-container', reportHtml, 'ab-test-report.pdf', chartData, chartFunction); }); } // 3. Sample Size Calculator if (calcSsBtn) { calcSsBtn.addEventListener('click', () => { const baselineCr = getInputValue('ss-baseline-cr') / 100; const mde = getInputValue('ss-mde') / 100; const zAlpha = parseFloat(document.getElementById('ss-confidence').value); const zBeta = parseFloat(document.getElementById('ss-power').value); const confidenceText = document.getElementById('ss-confidence').options[document.getElementById('ss-confidence').selectedIndex].text; const powerText = document.getElementById('ss-power').options[document.getElementById('ss-power').selectedIndex].text; if (baselineCr <= 0 || mde <= 0) { showNotification('Please enter a valid Baseline CR and MDE.', true); return; } const p1 = baselineCr; const p2 = baselineCr * (1 + mde); const delta = p2 - p1; const numerator = Math.pow((zAlpha * Math.sqrt(2 * p1 * (1 - p1))) + (zBeta * Math.sqrt(p1 * (1 - p1) + p2 * (1 - p2))), 2); const denominator = Math.pow(delta, 2); const sampleSize = Math.ceil(numerator / denominator); const reportHtml = `

A/B Test Sample Size Report

Generated on: ${new Date().toLocaleDateString('en-US')}

Required Sample Size

Visitors Per Variation

${formatNumber(sampleSize, 0)}

Total Visitors Needed: ${formatNumber(sampleSize * 2, 0)}

Test Parameters

Baseline CR

${formatNumber(baselineCr*100)}%

Min. Detectable Effect

${formatNumber(mde*100)}%

Significance

${confidenceText}

Statistical Power

${powerText}

Why This Matters

An adequate sample size is crucial for a reliable A/B test. Too small a sample can lead to inconclusive results, while too large a sample wastes resources. This calculation ensures your test has enough statistical power to confidently detect a meaningful change in performance.
`; renderResult('ss-result-container', reportHtml, 'sample-size-report.pdf'); }); } // 4. Revenue Impact Calculator if (calcRiBtn) { calcRiBtn.addEventListener('click', () => { const visitors = getInputValue('ri-visitors'); const currentCr = getInputValue('ri-current-cr') / 100; const targetCr = getInputValue('ri-target-cr') / 100; const aov = getInputValue('ri-aov'); if (visitors <= 0 || currentCr < 0 || targetCr < 0 || aov <= 0) { showNotification('Please enter valid, positive numbers for all fields.', true); return; } const currentRevenue = visitors * currentCr * aov; const targetRevenue = visitors * targetCr * aov; const additionalRevenue = targetRevenue - currentRevenue; const chartData = { currentRevenue, targetRevenue }; const chartFunction = (data) => { const ctx = document.getElementById('revenueChart'); if(!ctx) return; new Chart(ctx, { type: 'bar', data: { labels: ['Current Revenue', 'Projected Revenue'], datasets: [{ label: 'Monthly Revenue ($)', data: [data.currentRevenue, data.targetRevenue], backgroundColor: ['#fca5a5', '#4ade80'], borderColor: ['#ef4444', '#22c55e'], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true } }, plugins: { legend: { display: false }, title: { display: true, text: 'Revenue Comparison', font: { size: 16 } } } } }); }; const reportHtml = `

Revenue Impact Report

Generated on: ${new Date().toLocaleDateString('en-US')}

Potential Revenue Growth

Estimated Additional Monthly Revenue

${formatCurrency(additionalRevenue)}

Revenue Visualization

Interpretation

This report estimates the financial impact of improving your conversion rate from ${formatNumber(currentCr*100)}% to ${formatNumber(targetCr*100)}%. Even small increases in conversion rate can lead to significant revenue growth over time, demonstrating the high value of conversion rate optimization (CRO) efforts.
`; renderResult('ri-result-container', reportHtml, 'revenue-impact-report.pdf', chartData, chartFunction); }); } // Initialize first tab view updateTabState(); });
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