Broad Based Weighted Average Formula Calculation Conversion Rate

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Broad Based Weighted Average Formula Calculation Conversion Rate Calculator :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ccc; –card-background: #fff; –shadow: 0 2px 5px rgba(0,0,0,0.1); } body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; background-color: var(–background-color); color: var(–text-color); line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } h1, h2, h3 { color: var(–primary-color); text-align: center; } h1 { margin-bottom: 10px; } .subtitle { text-align: center; color: #666; font-size: 1.1em; margin-bottom: 30px; } .loan-calc-container { background-color: var(–card-background); padding: 25px; border-radius: 8px; box-shadow: var(–shadow); margin-bottom: 30px; } .input-group { margin-bottom: 20px; text-align: left; } .input-group label { display: block; margin-bottom: 8px; font-weight: bold; color: var(–primary-color); } .input-group input[type="number"], .input-group select { width: calc(100% – 22px); padding: 10px; border: 1px solid var(–border-color); border-radius: 4px; font-size: 1em; box-sizing: border-box; } .input-group .helper-text { font-size: 0.85em; color: #666; margin-top: 5px; display: block; } .error-message { color: #dc3545; font-size: 0.85em; margin-top: 5px; display: none; /* Hidden by default */ } .error-message.visible { display: block; } .button-group { display: flex; justify-content: space-between; margin-top: 25px; gap: 10px; } .button-group button { padding: 10px 15px; border: none; border-radius: 4px; cursor: pointer; font-size: 1em; transition: background-color 0.3s ease; flex-grow: 1; } .btn-calculate { background-color: var(–primary-color); color: white; } .btn-calculate:hover { background-color: #003366; } .btn-reset { background-color: #6c757d; color: white; } .btn-reset:hover { background-color: #5a6268; } .btn-copy { background-color: #ffc107; color: #212529; } .btn-copy:hover { background-color: #e0a800; } #results-container { margin-top: 30px; padding: 20px; background-color: var(–primary-color); color: white; border-radius: 8px; box-shadow: var(–shadow); } #results-container h3 { color: white; margin-top: 0; } .result-item { margin-bottom: 15px; font-size: 1.1em; } .result-item strong { color: #e0e0e0; } .primary-result { font-size: 1.8em; font-weight: bold; text-align: center; margin-bottom: 20px; padding: 15px; background-color: var(–success-color); border-radius: 4px; } .formula-explanation { font-size: 0.95em; color: #f0f0f0; margin-top: 15px; padding-top: 10px; border-top: 1px solid #444; } table { width: 100%; border-collapse: collapse; margin-top: 20px; margin-bottom: 30px; } th, td { border: 1px solid var(–border-color); padding: 10px; text-align: right; } th { background-color: var(–primary-color); color: white; text-align: center; } td { background-color: var(–card-background); } caption { font-size: 1.1em; font-weight: bold; color: var(–primary-color); margin-bottom: 10px; text-align: left; } .chart-container { text-align: center; margin-top: 30px; padding: 20px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } canvas { max-width: 100%; height: auto; } .article-section { margin-top: 40px; padding: 30px; background-color: var(–card-background); border-radius: 8px; box-shadow: var(–shadow); } .article-section h2 { text-align: left; margin-bottom: 20px; } .article-section h3 { text-align: left; margin-top: 25px; margin-bottom: 15px; color: #0056b3; } .article-section p { margin-bottom: 15px; } .article-section ul, .article-section ol { margin-left: 20px; margin-bottom: 15px; } .article-section li { margin-bottom: 8px; } .faq-item { margin-bottom: 15px; } .faq-item strong { color: var(–primary-color); display: block; margin-bottom: 5px; } .internal-links-section ul { list-style: none; padding: 0; } .internal-links-section li { margin-bottom: 10px; } .internal-links-section a { color: var(–primary-color); text-decoration: none; font-weight: bold; } .internal-links-section a:hover { text-decoration: underline; } .internal-links-section span { font-size: 0.9em; color: #666; display: block; margin-top: 3px; } .highlight { background-color: var(–success-color); color: white; padding: 2px 5px; border-radius: 3px; } .variable-table th, .variable-table td { text-align: left; } .variable-table th:nth-child(2), .variable-table td:nth-child(2), .variable-table th:nth-child(3), .variable-table td:nth-child(3), .variable-table th:nth-child(4), .variable-table td:nth-child(4) { text-align: center; }

Broad Based Weighted Average Formula Calculation Conversion Rate Calculator

Understand and calculate your weighted average conversion rate across different segments.

Weighted Average Conversion Rate Calculator

Enter the number of visitors and conversions for each segment to calculate the overall weighted average conversion rate.

Name of the first segment (e.g., Website Traffic, Email Campaign).
Total number of visitors or interactions in this segment.
Number of desired actions or conversions in this segment.
Name of the second segment.
Total number of visitors or interactions in this segment.
Number of desired actions or conversions in this segment.
Name of the third segment.
Total number of visitors or interactions in this segment.
Number of desired actions or conversions in this segment.

Calculation Results

—
Total Visitors: —
Total Conversions: —
Overall Conversion Rate: —
Weighted Average Conversion Rate: —
Formula Used:
Weighted Average Conversion Rate = Σ (Segment Conversion Rate * Segment Weight)
Where:
Segment Conversion Rate = (Segment Conversions / Segment Visitors) * 100
Segment Weight = Segment Visitors / Total Visitors

Conversion Rate Breakdown

Visualizing individual segment conversion rates and their contribution to the weighted average.

What is Broad Based Weighted Average Calculation Conversion Rate?

The broad based weighted average calculation conversion rate is a sophisticated metric used to understand the overall effectiveness of a business's efforts across multiple channels or segments, where each segment's contribution is adjusted based on its relative size or importance. Unlike a simple average, a weighted average conversion rate gives more influence to segments that have a larger volume of visitors or interactions. This provides a more accurate picture of performance, especially when dealing with vastly different scales of operation across various marketing campaigns, website sections, or customer touchpoints. It helps businesses identify which areas are truly driving results in proportion to their reach.

Who Should Use It:

  • Marketing Teams: To assess the performance of different campaigns (e.g., SEO, paid ads, social media, email marketing) and understand which ones are most effective relative to their traffic volume.
  • E-commerce Businesses: To analyze conversion rates across different product categories, traffic sources, or user segments.
  • Product Managers: To evaluate user engagement and conversion on different features or parts of a digital product.
  • Sales Teams: To understand lead conversion rates from various lead generation sources.

Common Misconceptions:

  • Confusing it with Simple Average: A simple average of segment conversion rates can be misleading if segments have significantly different numbers of visitors. For example, a small, high-converting segment could artificially inflate the average, masking poor performance in a larger segment.
  • Ignoring Segment Weight: Failing to account for the "weight" (proportion of total visitors) of each segment means the calculation isn't truly "weighted" and can lead to inaccurate conclusions about overall performance.
  • Focusing only on the Top Line: While the overall weighted average is important, it's crucial not to neglect individual segment performance. A high weighted average might hide a critical issue in a large, underperforming segment.

Broad Based Weighted Average Formula Calculation Conversion Rate Formula and Mathematical Explanation

The calculation of the broad based weighted average conversion rate involves several steps. First, we determine the individual conversion rate for each segment. Then, we calculate the weight of each segment based on its proportion of total visitors. Finally, we multiply each segment's conversion rate by its weight and sum these values to get the weighted average conversion rate.

Step-by-Step Derivation:

  1. Calculate Individual Segment Conversion Rate (SCR): For each segment 'i', the conversion rate is calculated as:
    SCR_i = (Conversions_i / Visitors_i) * 100%
  2. Calculate Total Visitors (TV): Sum the visitors across all segments:
    TV = Σ Visitors_i
  3. Calculate Total Conversions (TC): Sum the conversions across all segments:
    TC = Σ Conversions_i
  4. Calculate Segment Weight (SW): For each segment 'i', the weight is its proportion of total visitors:
    SW_i = Visitors_i / TV
  5. Calculate Weighted Average Conversion Rate (WACR): Multiply each segment's conversion rate by its weight and sum the results:
    WACR = Σ (SCR_i * SW_i)

Alternatively, a more direct formula can be derived:

WACR = (Σ (Visitors_i * SCR_i)) / TV * 100%

Substituting SCR_i:

WACR = (Σ (Visitors_i * (Conversions_i / Visitors_i) * 100%)) / TV

WACR = (Σ Conversions_i * 100%) / TV

WACR = (Total Conversions * 100%) / Total Visitors

This simplified form shows that the weighted average conversion rate is mathematically equivalent to the overall conversion rate calculated from total conversions and total visitors. The "weighted" aspect is inherent in how the total is aggregated from segments of varying sizes.

Variable Explanations

Variable Meaning Unit Typical Range
Visitorsi Number of visitors, users, or interactions in segment 'i'. Count ≥ 0
Conversionsi Number of desired actions completed in segment 'i'. Count ≥ 0
SCRi Individual Conversion Rate for segment 'i'. Percentage (%) 0% – 100%
TV Total Visitors across all segments. Count ≥ 0
TC Total Conversions across all segments. Count ≥ 0
SWi Weight of segment 'i' based on its visitor proportion. Ratio (0 to 1) 0 – 1
WACR Broad Based Weighted Average Conversion Rate. Percentage (%) 0% – 100%

Practical Examples (Real-World Use Cases)

Example 1: E-commerce Website Performance

An e-commerce store wants to understand its overall conversion rate, considering different traffic sources.

  • Segment 1: Organic Search (SEO)
    • Visitors: 15,000
    • Conversions: 750
    • Individual Conversion Rate: (750 / 15,000) * 100% = 5.0%
  • Segment 2: Paid Social Media Ads
    • Visitors: 8,000
    • Conversions: 400
    • Individual Conversion Rate: (400 / 8,000) * 100% = 5.0%
  • Segment 3: Email Marketing Campaigns
    • Visitors: 2,000
    • Conversions: 200
    • Individual Conversion Rate: (200 / 2,000) * 100% = 10.0%

Calculations:

  • Total Visitors = 15,000 + 8,000 + 2,000 = 25,000
  • Total Conversions = 750 + 400 + 200 = 1,350
  • Overall Conversion Rate = (1,350 / 25,000) * 100% = 5.4%
  • Segment Weights:
    • Organic Search: 15,000 / 25,000 = 0.6
    • Paid Social: 8,000 / 25,000 = 0.32
    • Email Marketing: 2,000 / 25,000 = 0.08
  • Weighted Average Conversion Rate = (5.0% * 0.6) + (5.0% * 0.32) + (10.0% * 0.08)
    = 3.0% + 1.6% + 0.8% = 5.4%

Interpretation: Although email marketing has a significantly higher individual conversion rate (10.0%), its smaller visitor volume means it has less impact on the overall weighted average. The weighted average conversion rate (5.4%) is identical to the overall conversion rate, highlighting that the performance is consistent across the larger segments, but the high-performing email channel is pulling the average up slightly.

Example 2: SaaS Product Feature Adoption

A Software as a Service (SaaS) company wants to measure the adoption rate of a new feature across different user tiers.

  • Segment 1: Free Tier Users
    • Users: 50,000
    • Feature Adoptions: 2,500
    • Individual Adoption Rate: (2,500 / 50,000) * 100% = 5.0%
  • Segment 2: Basic Paid Tier Users
    • Users: 10,000
    • Feature Adoptions: 1,000
    • Individual Adoption Rate: (1,000 / 10,000) * 100% = 10.0%
  • Segment 3: Premium Paid Tier Users
    • Users: 1,000
    • Feature Adoptions: 200
    • Individual Adoption Rate: (200 / 1,000) * 100% = 20.0%

Calculations:

  • Total Users = 50,000 + 10,000 + 1,000 = 61,000
  • Total Adoptions = 2,500 + 1,000 + 200 = 3,700
  • Overall Adoption Rate = (3,700 / 61,000) * 100% ≈ 6.07%
  • Segment Weights:
    • Free Tier: 50,000 / 61,000 ≈ 0.8197
    • Basic Paid: 10,000 / 61,000 ≈ 0.1639
    • Premium Paid: 1,000 / 61,000 ≈ 0.0164
  • Weighted Average Adoption Rate = (5.0% * 0.8197) + (10.0% * 0.1639) + (20.0% * 0.0164)
    ≈ 4.0985% + 1.639% + 0.328% ≈ 6.0655%

Interpretation: The weighted average adoption rate (≈6.07%) is very close to the overall adoption rate. This indicates that while the premium tier shows the highest individual adoption rate (20.0%), its small user base has a limited impact on the overall metric. The free tier, despite its lower adoption rate (5.0%), heavily influences the weighted average due to its large user volume. This suggests that efforts to increase adoption should focus significantly on the free tier users to move the needle on the overall metric.

How to Use This Broad Based Weighted Average Calculation Conversion Rate Calculator

Our calculator is designed to be intuitive and provide quick insights into your weighted average conversion rate. Follow these simple steps:

  1. Input Segment Details:
    • For each segment you want to analyze (e.g., Website Traffic, Email Campaign, Social Media), enter its name in the "Segment Name" field.
    • In the corresponding "Segment Visitors" field, input the total number of visitors, users, or interactions for that segment.
    • In the "Segment Conversions" field, enter the number of successful actions or conversions achieved within that segment.
    • Add or remove segments as needed by adjusting the input fields (this calculator is pre-set with 3 segments, but the logic can be extended).
  2. Validate Inputs: As you type, the calculator will perform inline validation. Error messages will appear below fields if the input is invalid (e.g., negative numbers, non-numeric values). Ensure all fields are correctly populated with positive numbers.
  3. Calculate: Click the "Calculate" button. The results will update instantly.
  4. Read Results:
    • Primary Highlighted Result: This shows the main Weighted Average Conversion Rate.
    • Intermediate Values: You'll see the Total Visitors, Total Conversions, and Overall Conversion Rate, providing context.
    • Formula Explanation: A brief description of how the weighted average conversion rate is calculated is provided for clarity.
  5. Interpret Findings: Compare the weighted average conversion rate to individual segment rates and the overall rate. A significant difference between the weighted average and the simple average of segment rates indicates that segment size plays a crucial role in your overall performance.
  6. Use Decision-Making Guidance:
    • If the weighted average is significantly lower than the average of individual rates, it suggests that your larger segments are underperforming. Focus improvement efforts there.
    • If the weighted average is higher, your larger segments are performing well, but ensure you're not neglecting high-potential smaller segments.
    • Use the chart to visually compare segment performance and identify outliers.
  7. Copy Results: Click "Copy Results" to copy the key metrics and assumptions to your clipboard for reporting or further analysis.
  8. Reset: Click "Reset" to clear all fields and return to the default values.

Key Factors That Affect Broad Based Weighted Average Calculation Conversion Rate Results

Several factors can influence the weighted average conversion rate, impacting its value and the insights derived from it. Understanding these elements is crucial for accurate analysis and strategic decision-making.

  1. Volume of Visitors/Interactions (Weight): This is the most direct factor. Segments with a higher number of visitors inherently carry more "weight" in the calculation. A small change in conversion rate within a large segment will have a much larger impact on the weighted average than a similar change in a small segment. This is why the weighted average often closely mirrors the performance of your largest traffic sources.
  2. Individual Segment Conversion Rates: The actual conversion efficiency of each segment is paramount. Even if a segment has a large volume, a very low conversion rate will drag down the weighted average. Conversely, a high conversion rate in a smaller segment might not significantly boost the overall average if its weight is minimal.
  3. Definition of "Conversion": The clarity and consistency in defining what constitutes a "conversion" across all segments are vital. Are you measuring sales, sign-ups, downloads, or specific actions? Ambiguity or differing definitions can lead to inaccurate comparisons and a skewed weighted average.
  4. Quality of Traffic/Visitors: Not all visitors are equal. A segment might have high volume but low-quality traffic (e.g., bots, irrelevant audience) leading to poor conversion rates. Conversely, a smaller segment with highly targeted, engaged visitors might yield a high conversion rate. The weighted average reflects the combined outcome of these differing traffic qualities.
  5. User Experience (UX) Across Segments: The journey a user takes from different sources to conversion can vary significantly. A poorly optimized landing page for one segment, or a confusing checkout process for another, will directly impact their respective conversion rates and, consequently, the weighted average. Ensuring a seamless UX across all touchpoints is critical.
  6. Marketing Channel Effectiveness & Targeting: The effectiveness of the marketing strategy employed for each segment plays a huge role. Well-targeted campaigns that attract the right audience are likely to have higher conversion rates. Poor targeting or ineffective messaging will result in lower rates, especially impacting segments with large visitor volumes.
  7. Seasonality and Trends: Conversion rates can fluctuate based on time of year, specific events, or industry trends. A segment's performance might be temporarily inflated or deflated due to external factors, affecting the overall weighted average during those periods.
  8. Promotions and Offers: Special offers, discounts, or limited-time promotions can significantly boost conversion rates for specific segments. While beneficial, their impact on the weighted average should be analyzed in context, understanding if the boost is sustainable or a temporary anomaly.

Frequently Asked Questions (FAQ)

Q1: What is the difference between a simple average conversion rate and a weighted average conversion rate?

A simple average conversion rate treats all segments equally, regardless of their size. A weighted average conversion rate adjusts the influence of each segment's conversion rate based on its proportion of total visitors. This makes the weighted average a more accurate reflection of overall performance, especially when segment sizes vary significantly.

Q2: Why is my weighted average conversion rate the same as my overall conversion rate?

Mathematically, the weighted average conversion rate is indeed equivalent to the overall conversion rate calculated from total conversions divided by total visitors. The "weighted" aspect is inherent in how the total is aggregated from segments of varying sizes. The value of calculating individual segment rates and weights lies in understanding the *contribution* of each segment to that overall figure.

Q3: Can the weighted average conversion rate be higher than the highest individual segment conversion rate?

No, the weighted average conversion rate will always fall between the lowest and highest individual segment conversion rates. It's a blend of all segment rates, weighted by their size.

Q4: How many segments should I include in the calculation?

You can include as many segments as are relevant to your analysis. The calculator provided has fields for three segments, but the underlying formula can be applied to any number of segments. More segments provide a granular view, but ensure they are distinct and meaningful.

Q5: What if a segment has zero visitors?

If a segment has zero visitors, its conversion rate is undefined (division by zero). In practice, you would typically exclude such segments from the calculation or assign them a weight of zero, as they contribute nothing to the total visitor count or conversions.

Q6: How often should I calculate my weighted average conversion rate?

The frequency depends on your business cycle and data volume. For active online businesses, calculating it weekly or monthly is common. For campaigns with shorter durations, you might calculate it at the end of the campaign. Consistency is key for tracking trends.

Q7: What actions can I take based on a low weighted average conversion rate?

A low weighted average suggests room for improvement. Analyze which segments contribute most to the total visitors but have low conversion rates. Focus optimization efforts on these high-volume, low-conversion segments. Also, investigate if high-converting segments are receiving enough traffic or if their success can be replicated elsewhere.

Q8: Does this calculator account for different conversion values (e.g., revenue)?

This specific calculator focuses on the *rate* of conversion (number of conversions / number of visitors). It does not factor in the monetary value of each conversion. For revenue-focused analysis, you would need a weighted average revenue per visitor (ARPV) calculation, which incorporates the value of each conversion.

Related Tools and Internal Resources

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var chartInstance = null; function validateInput(value, id, min, max) { var errorElement = document.getElementById(id + 'Error'); errorElement.innerText = "; errorElement.classList.remove('visible'); if (value === ") { errorElement.innerText = 'This field cannot be empty.'; errorElement.classList.add('visible'); return false; } var numValue = parseFloat(value); if (isNaN(numValue)) { errorElement.innerText = 'Please enter a valid number.'; errorElement.classList.add('visible'); return false; } if (numValue max) { errorElement.innerText = 'Value cannot be greater than ' + max + '.'; errorElement.classList.add('visible'); return false; } return true; } function calculateWeightedAverage() { var segment1Visitors = document.getElementById('segment1Visitors').value; var segment1Conversions = document.getElementById('segment1Conversions').value; var segment2Visitors = document.getElementById('segment2Visitors').value; var segment2Conversions = document.getElementById('segment2Conversions').value; var segment3Visitors = document.getElementById('segment3Visitors').value; var segment3Conversions = document.getElementById('segment3Conversions').value; var isValid = true; isValid = validateInput(segment1Visitors, 'segment1Visitors', 0) && isValid; isValid = validateInput(segment1Conversions, 'segment1Conversions', 0) && isValid; isValid = validateInput(segment2Visitors, 'segment2Visitors', 0) && isValid; isValid = validateInput(segment2Conversions, 'segment2Conversions', 0) && isValid; isValid = validateInput(segment3Visitors, 'segment3Visitors', 0) && isValid; isValid = validateInput(segment3Conversions, 'segment3Conversions', 0) && isValid; if (!isValid) { document.getElementById('primaryResult').innerText = 'Invalid Input'; document.getElementById('totalVisitors').innerText = '–'; document.getElementById('totalConversions').innerText = '–'; document.getElementById('overallConversionRate').innerText = '–'; document.getElementById('weightedAverageResult').innerText = '–'; updateChart([], []); return; } var visitors1 = parseFloat(segment1Visitors); var conversions1 = parseFloat(segment1Conversions); var visitors2 = parseFloat(segment2Visitors); var conversions2 = parseFloat(segment2Conversions); var visitors3 = parseFloat(segment3Visitors); var conversions3 = parseFloat(segment3Conversions); var totalVisitors = visitors1 + visitors2 + visitors3; var totalConversions = conversions1 + conversions2 + conversions3; var overallConversionRate = (totalVisitors === 0) ? 0 : (totalConversions / totalVisitors) * 100; var scr1 = (visitors1 === 0) ? 0 : (conversions1 / visitors1) * 100; var scr2 = (visitors2 === 0) ? 0 : (conversions2 / visitors2) * 100; var scr3 = (visitors3 === 0) ? 0 : (conversions3 / visitors3) * 100; var sw1 = (totalVisitors === 0) ? 0 : visitors1 / totalVisitors; var sw2 = (totalVisitors === 0) ? 0 : visitors2 / totalVisitors; var sw3 = (totalVisitors === 0) ? 0 : visitors3 / totalVisitors; var weightedAverage = (scr1 * sw1) + (scr2 * sw2) + (scr3 * sw3); document.getElementById('totalVisitors').innerText = totalVisitors.toLocaleString(); document.getElementById('totalConversions').innerText = totalConversions.toLocaleString(); document.getElementById('overallConversionRate').innerText = overallConversionRate.toFixed(2) + '%'; document.getElementById('weightedAverageResult').innerText = weightedAverage.toFixed(2) + '%'; document.getElementById('primaryResult').innerText = weightedAverage.toFixed(2) + '%'; var segmentNames = [ document.getElementById('segment1Name').value || 'Segment 1', document.getElementById('segment2Name').value || 'Segment 2', document.getElementById('segment3Name').value || 'Segment 3' ]; var segmentRates = [scr1.toFixed(2), scr2.toFixed(2), scr3.toFixed(2)]; updateChart(segmentNames, segmentRates); } function resetCalculator() { document.getElementById('segment1Name').value = 'Website Traffic'; document.getElementById('segment1Visitors').value = '10000'; document.getElementById('segment1Conversions').value = '500'; document.getElementById('segment2Name').value = 'Social Media'; document.getElementById('segment2Visitors').value = '5000'; document.getElementById('segment2Conversions').value = '300'; document.getElementById('segment3Name').value = 'Paid Ads'; document.getElementById('segment3Visitors').value = '2000'; document.getElementById('segment3Conversions').value = '150'; document.getElementById('primaryResult').innerText = '–'; document.getElementById('totalVisitors').innerText = '–'; document.getElementById('totalConversions').innerText = '–'; document.getElementById('overallConversionRate').innerText = '–'; document.getElementById('weightedAverageResult').innerText = '–'; var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].innerText = ''; errorElements[i].classList.remove('visible'); } updateChart([], []); } function copyResults() { var primaryResult = document.getElementById('primaryResult').innerText; var totalVisitors = document.getElementById('totalVisitors').innerText; var totalConversions = document.getElementById('totalConversions').innerText; var overallConversionRate = document.getElementById('overallConversionRate').innerText; var weightedAverageResult = document.getElementById('weightedAverageResult').innerText; var segment1Name = document.getElementById('segment1Name').value || 'Segment 1'; var segment1Visitors = document.getElementById('segment1Visitors').value; var segment1Conversions = document.getElementById('segment1Conversions').value; var segment1Rate = (parseFloat(segment1Visitors) === 0) ? '0.00%' : (parseFloat(segment1Conversions) / parseFloat(segment1Visitors) * 100).toFixed(2) + '%'; var segment2Name = document.getElementById('segment2Name').value || 'Segment 2'; var segment2Visitors = document.getElementById('segment2Visitors').value; var segment2Conversions = document.getElementById('segment2Conversions').value; var segment2Rate = (parseFloat(segment2Visitors) === 0) ? '0.00%' : (parseFloat(segment2Conversions) / parseFloat(segment2Visitors) * 100).toFixed(2) + '%'; var segment3Name = document.getElementById('segment3Name').value || 'Segment 3'; var segment3Visitors = document.getElementById('segment3Visitors').value; var segment3Conversions = document.getElementById('segment3Conversions').value; var segment3Rate = (parseFloat(segment3Visitors) === 0) ? '0.00%' : (parseFloat(segment3Conversions) / parseFloat(segment3Visitors) * 100).toFixed(2) + '%'; var resultsText = "Broad Based Weighted Average Conversion Rate Calculation Results:\n\n"; resultsText += "Primary Result (Weighted Average Conversion Rate): " + primaryResult + "\n"; resultsText += "Total Visitors: " + totalVisitors + "\n"; resultsText += "Total Conversions: " + totalConversions + "\n"; resultsText += "Overall Conversion Rate: " + overallConversionRate + "\n\n"; resultsText += "Segment Details:\n"; resultsText += "- " + segment1Name + ": Visitors=" + segment1Visitors + ", Conversions=" + segment1Conversions + ", Rate=" + segment1Rate + "\n"; resultsText += "- " + segment2Name + ": Visitors=" + segment2Visitors + ", Conversions=" + segment2Conversions + ", Rate=" + segment2Rate + "\n"; resultsText += "- " + segment3Name + ": Visitors=" + segment3Visitors + ", Conversions=" + segment3Conversions + ", Rate=" + segment3Rate + "\n"; resultsText += "\nKey Assumptions:\n"; resultsText += "Calculation based on provided visitor and conversion numbers for each segment.\n"; navigator.clipboard.writeText(resultsText).then(function() { alert('Results copied to clipboard!'); }, function(err) { console.error('Could not copy text: ', err); alert('Failed to copy results. Please copy manually.'); }); } function updateChart(labels, data) { var ctx = document.getElementById('conversionChart').getContext('2d'); if (chartInstance) { chartInstance.destroy(); } if (labels.length === 0 || data.length === 0) { ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height); ctx.font = "16px Arial"; ctx.fillStyle = "#666"; ctx.textAlign = "center"; ctx.fillText("Enter data and click Calculate to see chart.", ctx.canvas.width / 2, ctx.canvas.height / 2); return; } chartInstance = new Chart(ctx, { type: 'bar', data: { labels: labels, datasets: [{ label: 'Segment Conversion Rate (%)', data: data, backgroundColor: [ 'rgba(0, 74, 153, 0.6)', 'rgba(40, 167, 69, 0.6)', 'rgba(255, 193, 7, 0.6)' ], borderColor: [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)', 'rgba(255, 193, 7, 1)' ], borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, ticks: { callback: function(value) { return value + '%'; } } } }, plugins: { legend: { display: true, position: 'top', }, title: { display: true, text: 'Individual Segment Conversion Rates' } } } }); } // Initial calculation on load if default values are present document.addEventListener('DOMContentLoaded', function() { calculateWeightedAverage(); });

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