Black Domain Weighted Calculator

Black Domain Weighted Calculator: Understand Your Domain Authority Score :root { –primary-color: #004a99; –success-color: #28a745; –background-color: #f8f9fa; –text-color: #333; –border-color: #ddd; –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); } header { background-color: var(–primary-color); color: white; padding: 20px 0; text-align: center; margin-bottom: 20px; border-radius: 8px 8px 0 0; } header h1 { margin: 0; font-size: 2.2em; } .calculator-section { margin-bottom: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .calculator-section h2 { color: var(–primary-color); 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color: white; flex-grow: 1; } .btn-calculate:hover { background-color: #003366; } .btn-reset { background-color: #6c757d; color: white; } .btn-reset:hover { background-color: #5a6268; } .btn-copy { background-color: var(–success-color); color: white; } .btn-copy:hover { background-color: #218838; } #results { margin-top: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } #results h3 { color: var(–primary-color); text-align: center; margin-top: 0; margin-bottom: 20px; } .result-item { margin-bottom: 15px; padding: 10px; border-bottom: 1px dashed var(–border-color); } .result-item:last-child { border-bottom: none; } .result-label { font-weight: bold; color: var(–primary-color); } .result-value { font-size: 1.1em; font-weight: bold; color: var(–success-color); } .primary-result { background-color: var(–primary-color); color: white; padding: 15px; text-align: center; border-radius: 5px; margin-bottom: 20px; box-shadow: inset 0 0 10px rgba(0,0,0,0.2); } .primary-result .result-label { color: white; font-size: 1.2em; } .primary-result .result-value { font-size: 1.8em; color: #ffc107; /* A contrasting highlight color */ } .formula-explanation { font-size: 0.9em; color: #555; margin-top: 15px; padding-top: 15px; border-top: 1px solid var(–border-color); } table { width: 100%; border-collapse: collapse; margin-top: 20px; margin-bottom: 20px; } th, td { padding: 10px; text-align: left; border: 1px solid var(–border-color); } th { background-color: var(–primary-color); color: white; } tr:nth-child(even) { background-color: #f2f2f2; } caption { font-size: 1.1em; font-weight: bold; color: var(–primary-color); margin-bottom: 10px; caption-side: top; text-align: left; } #chartContainer { text-align: center; margin-top: 20px; } #chartContainer canvas { max-width: 100%; height: auto; } .article-content { margin-top: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .article-content h2, .article-content h3 { color: var(–primary-color); margin-top: 25px; margin-bottom: 15px; } .article-content h2 { font-size: 1.8em; border-bottom: 2px solid var(–primary-color); padding-bottom: 5px; } .article-content h3 { font-size: 1.4em; } .article-content p { margin-bottom: 15px; } .article-content ul, .article-content ol { margin-left: 20px; margin-bottom: 15px; } .article-content li { margin-bottom: 8px; } .faq-item { margin-bottom: 15px; padding: 10px; border-left: 3px solid var(–primary-color); background-color: #eef7ff; } .faq-item strong { color: var(–primary-color); } .internal-links { margin-top: 30px; padding: 25px; border: 1px solid var(–border-color); border-radius: 8px; background-color: var(–card-background); box-shadow: var(–shadow); } .internal-links h3 { color: var(–primary-color); text-align: center; margin-top: 0; margin-bottom: 20px; } .internal-links ul { list-style: none; padding: 0; } .internal-links li { margin-bottom: 10px; } .internal-links a { color: var(–primary-color); text-decoration: none; font-weight: bold; } .internal-links a:hover { text-decoration: underline; } .internal-links p { font-size: 0.9em; color: #555; margin-top: 5px; } footer { text-align: center; margin-top: 30px; padding: 20px; font-size: 0.9em; color: #777; } @media (min-width: 768px) { .button-group { justify-content: flex-end; } .button-group .btn-calculate, .button-group .btn-reset, .button-group .btn-copy { width: auto; } }

Black Domain Weighted Calculator

Assess your website's SEO potential with our advanced domain authority scoring tool.

Domain Weighted Score Calculator

A score from 0-100 predicting how well a website will rank.
Please enter a valid number between 0 and 100.
Average score of your referring domains (0-100).
Please enter a valid number between 0 and 100.
How relevant your content is to target keywords (0-100).
Please enter a valid number between 0 and 100.
How long the domain has been registered.
Please enter a valid non-negative number.
Approximate number of monthly visitors.
Please enter a valid non-negative number.

Your Black Domain Weighted Score Results

Black Domain Weighted Score (BDWS):
Weighted DA Component:
Weighted Backlink Component:
Weighted Content Component:
Domain Age Factor:
Traffic Multiplier:
Formula Used: BDWS = (DA * 0.4) + (AvgBacklinkQuality * 0.2) + (ContentRelevance * 0.2) + (DomainAgeFactor) + (TrafficMultiplier)
*Domain Age Factor: Log10(Domain Age in Years + 1) * 5
*Traffic Multiplier: Log10(Estimated Traffic + 1) * 2

Score Component Breakdown

Breakdown of how each factor contributes to your BDWS.

Input Variable Details

Variable Meaning Unit Typical Range
Domain Authority (DA) Predictive score of website ranking ability. 0-100 1-100
Average Backlink Quality Score Quality assessment of referring domains. 0-100 0-100
Content Relevance Score Match between content and target keywords. 0-100 0-100
Domain Age (Years) Duration the domain has been active. Years 0+
Estimated Monthly Traffic Approximate number of unique visitors per month. Count 0+

What is the Black Domain Weighted Calculator?

The Black Domain Weighted Calculator is a sophisticated tool designed to provide a comprehensive assessment of a website's overall SEO strength and potential. Unlike simpler metrics, it synthesizes multiple critical ranking factors into a single, actionable score – the Black Domain Weighted Score (BDWS). This score aims to offer a more nuanced view of a domain's authority and its likelihood to perform well in search engine results pages (SERPs). It's particularly useful for SEO professionals, website owners, and digital marketers who need to understand the multifaceted nature of domain authority and how various elements contribute to it. By inputting key metrics, users can gain insights into their domain's current standing and identify areas for improvement. This black domain weighted calculator is an essential tool for anyone serious about improving their website's search engine visibility and organic traffic.

Who should use it?

  • SEO Specialists: To benchmark client websites and track progress.
  • Website Owners: To understand their domain's SEO health and identify weaknesses.
  • Digital Marketers: To evaluate the potential of new domains or acquired websites.
  • Content Creators: To see how content quality and relevance impact overall domain strength.
  • Affiliate Marketers: To assess the authority of sites they plan to partner with or build.

Common Misconceptions:

  • BDWS is the only ranking factor: While important, BDWS is a composite score. Search engines use hundreds of factors.
  • A high score guarantees top rankings: It increases probability but doesn't guarantee placement, especially in competitive niches.
  • BDWS is static: It fluctuates as your website's metrics change and competitors' metrics evolve. Regular recalculation is key.
  • Focusing solely on DA: This calculator emphasizes that DA is just one piece of the puzzle; backlinks, content, age, and traffic are equally vital.

Black Domain Weighted Calculator Formula and Mathematical Explanation

The Black Domain Weighted Calculator utilizes a proprietary algorithm that combines several key performance indicators (KPIs) into a single, weighted score. The core idea is to assign different levels of importance (weights) to each factor, reflecting their impact on a domain's overall SEO authority. The formula is designed to be intuitive yet comprehensive, providing a balanced view of a domain's strengths.

The primary formula is:

BDWS = (DA * W_DA) + (AvgBacklinkQuality * W_BQ) + (ContentRelevance * W_CR) + DomainAgeFactor + TrafficMultiplier

Where:

  • BDWS: Black Domain Weighted Score (the final output).
  • DA: Domain Authority score (0-100).
  • AvgBacklinkQuality: Average quality score of referring domains (0-100).
  • ContentRelevance: Score indicating how relevant your content is to target keywords (0-100).
  • DomainAgeFactor: A calculated value that increases with domain age.
  • TrafficMultiplier: A calculated value that increases with estimated traffic.
  • W_DA, W_BQ, W_CR: These are the weights assigned to each primary metric. In this calculator, they are set as follows:
    • W_DA = 0.4 (40% weight)
    • W_BQ = 0.2 (20% weight)
    • W_CR = 0.2 (20% weight)

Detailed Component Calculations:

1. Domain Age Factor: This factor acknowledges that older domains often have more established trust and authority. A logarithmic scale is used to prevent very old domains from disproportionately dominating the score.

DomainAgeFactor = log10(Domain Age in Years + 1) * 5

Explanation: We add 1 to the domain age to avoid issues with log(0) or log(1). The base-10 logarithm compresses the scale, and multiplying by 5 scales it to a reasonable contribution.

2. Traffic Multiplier: Higher traffic often correlates with better SEO performance and user engagement, acting as a positive signal.

TrafficMultiplier = log10(Estimated Monthly Traffic + 1) * 2

Explanation: Similar to the age factor, a logarithm is used to moderate the impact of extremely high traffic numbers. Adding 1 handles zero traffic cases. Multiplying by 2 scales the contribution.

Variables Table:

Variable Meaning Unit Typical Range
Domain Authority (DA) Predictive score of website ranking ability. 0-100 1-100
Average Backlink Quality Score Quality assessment of referring domains. 0-100 0-100
Content Relevance Score Match between content and target keywords. 0-100 0-100
Domain Age (Years) Duration the domain has been active. Years 0+
Estimated Monthly Traffic Approximate number of unique visitors per month. Count 0+
BDWS Black Domain Weighted Score Score Variable (depends on inputs)

Practical Examples (Real-World Use Cases)

Example 1: Established Authority Site

Scenario: A well-established niche news website has been operating for 10 years. It has a strong Domain Authority (DA) of 85, excellent average backlink quality (88), highly relevant content (92), and significant monthly traffic estimated at 150,000 visitors.

Inputs:

  • Domain Authority (DA): 85
  • Average Backlink Quality Score: 88
  • Content Relevance Score: 92
  • Domain Age (Years): 10
  • Estimated Monthly Traffic: 150,000

Calculations:

  • Weighted DA: 85 * 0.4 = 34
  • Weighted Backlinks: 88 * 0.2 = 17.6
  • Weighted Content: 92 * 0.2 = 18.4
  • Domain Age Factor: log10(10 + 1) * 5 = log10(11) * 5 ≈ 1.04 * 5 = 5.2
  • Traffic Multiplier: log10(150000 + 1) * 2 = log10(150001) * 2 ≈ 5.18 * 2 = 10.36

BDWS: 34 + 17.6 + 18.4 + 5.2 + 10.36 = 85.56

Interpretation: This score of 85.56 indicates a very strong domain, reflecting its high authority, quality links, relevant content, established age, and substantial traffic. This site is likely to rank well for its target keywords.

Example 2: Growing Startup Blog

Scenario: A new tech startup blog launched 1.5 years ago. Its Domain Authority is currently 30. It has managed to acquire backlinks with an average quality score of 65. Its content is moderately relevant (70), and it receives around 5,000 monthly visitors.

Inputs:

  • Domain Authority (DA): 30
  • Average Backlink Quality Score: 65
  • Content Relevance Score: 70
  • Domain Age (Years): 1.5
  • Estimated Monthly Traffic: 5,000

Calculations:

  • Weighted DA: 30 * 0.4 = 12
  • Weighted Backlinks: 65 * 0.2 = 13
  • Weighted Content: 70 * 0.2 = 14
  • Domain Age Factor: log10(1.5 + 1) * 5 = log10(2.5) * 5 ≈ 0.40 * 5 = 2.0
  • Traffic Multiplier: log10(5000 + 1) * 2 = log10(5001) * 2 ≈ 3.70 * 2 = 7.4

BDWS: 12 + 13 + 14 + 2.0 + 7.4 = 48.4

Interpretation: A BDWS of 48.4 suggests moderate potential. While the DA and link quality are decent for its age, there's significant room for growth. Focusing on improving content relevance, acquiring more high-quality backlinks, and driving traffic will be crucial for increasing this score and improving search rankings.

How to Use This Black Domain Weighted Calculator

Using the Black Domain Weighted Calculator is straightforward. Follow these steps to get your BDWS and understand its implications:

  1. Gather Your Data: Before using the calculator, you'll need accurate data for the following metrics:
    • Domain Authority (DA): Obtain this from SEO tools like Moz, Ahrefs, or SEMrush.
    • Average Backlink Quality Score: This requires analyzing your referring domains using SEO tools and calculating an average quality score.
    • Content Relevance Score: This is a more subjective metric. Assess how well your website's content aligns with the primary keywords and topics you target. A score out of 100 is needed.
    • Domain Age: The number of years your domain has been registered and active.
    • Estimated Monthly Traffic: Use tools like Google Analytics or similar platforms to estimate your monthly unique visitors.
  2. Input the Values: Enter the gathered data into the corresponding input fields on the calculator. Ensure you enter numerical values only.
  3. Calculate the Score: Click the "Calculate Score" button. The calculator will process your inputs using the defined formula.
  4. Review the Results: The calculator will display:
    • Primary Result (BDWS): Your overall Black Domain Weighted Score.
    • Intermediate Values: The calculated contributions from each weighted component (DA, Backlinks, Content) and the factors for Domain Age and Traffic.
    • Formula Explanation: A clear breakdown of the calculation used.
  5. Interpret the Score:
    • High BDWS (e.g., 70+): Indicates a strong domain with significant SEO potential. Focus on maintaining and incrementally improving your metrics.
    • Medium BDWS (e.g., 40-69): Suggests moderate potential. Identify the weakest components and strategize improvements.
    • Low BDWS (e.g., below 40): Signals a domain with considerable room for growth. A strategic overhaul focusing on foundational SEO elements might be necessary.
  6. Utilize the Chart and Table: The dynamic chart visually breaks down the contribution of each factor, helping you pinpoint areas needing attention. The table provides context for each input variable.
  7. Copy and Save: Use the "Copy Results" button to save your findings for future reference or reporting.
  8. Reset: Use the "Reset" button to clear the fields and start a new calculation.

By consistently using this black domain weighted calculator, you can track your SEO progress and make data-driven decisions to enhance your website's performance.

Key Factors That Affect Black Domain Weighted Score Results

The BDWS is a composite score, meaning several interconnected factors influence its final value. Understanding these elements is crucial for effective SEO strategy:

  1. Domain Authority (DA): This is a primary input and heavily weighted. A higher DA, typically built over time through consistent quality content and link acquisition, directly boosts the BDWS. It signifies a domain's established credibility in the eyes of search engines.
  2. Backlink Profile Quality: Not just the quantity, but the *quality* of backlinks is paramount. Links from authoritative, relevant, and trustworthy websites act as strong votes of confidence, significantly improving the Average Backlink Quality Score and thus the BDWS. Spammy or low-quality links can even harm your score.
  3. Content Relevance and Quality: Search engines prioritize content that directly answers user queries and provides value. A high Content Relevance Score, indicating a strong topical alignment and quality, contributes positively. Consistently publishing fresh, engaging, and comprehensive content is key.
  4. Domain Age and History: Older domains often benefit from a perceived trust factor. Search engines may view them as more established and reliable. While the calculator includes a factor for this, a long history alone isn't enough; it must be paired with good SEO practices. A negative history (e.g., penalties) can counteract the age benefit.
  5. Website Traffic and User Engagement: High organic traffic is often a result of good SEO, but it also acts as a signal to search engines. Metrics like click-through rates (CTR), bounce rate, and time on site can indirectly influence perceived authority and contribute to the Traffic Multiplier component of the BDWS. More engaged users suggest valuable content.
  6. Technical SEO Health: While not directly an input, a website's technical foundation impacts all other metrics. Poor site speed, mobile-friendliness issues, crawl errors, or insecure connections (lack of HTTPS) can hinder indexation, user experience, and ultimately affect DA, traffic, and content visibility, indirectly lowering the BDWS.
  7. Brand Mentions and Online Reputation: Increasingly, search engines consider brand signals. Unlinked brand mentions, positive reviews, and overall online reputation can contribute to a domain's perceived authority, indirectly influencing metrics like DA and user trust, which are components of the BDWS.
  8. Competitor Performance: SEO is relative. Your BDWS should be considered in the context of your competitors. Even a high score might not be enough if competitors have significantly higher scores and better rankings. Continuous monitoring of competitor metrics is essential.

Frequently Asked Questions (FAQ)

Q1: What is the ideal Black Domain Weighted Score (BDWS)?

A: There isn't a single "ideal" score, as it depends heavily on your industry and competition. However, scores above 70 are generally considered excellent, indicating strong SEO potential. Scores between 40-69 are moderate, and below 40 suggests significant room for improvement.

Q2: How often should I recalculate my BDWS?

A: It's recommended to recalculate your BDWS monthly, or whenever you implement significant SEO changes (e.g., a major content push, a link-building campaign). This allows you to track progress and adjust your strategy.

Q3: Can I influence my BDWS directly?

A: Yes. You can directly influence the inputs by improving your Domain Authority through quality link building, enhancing your content relevance and quality, and driving more organic traffic. Domain age is the only factor you cannot directly influence, but its impact is moderated.

Q4: Is BDWS the same as Domain Authority (DA)?

A: No. DA is one of the primary inputs into the BDWS. The BDWS is a more comprehensive score that weights DA alongside other critical factors like backlink quality, content relevance, domain age, and traffic.

Q5: What if my Domain Authority is low?

A: A low DA doesn't mean your website can't rank. Focus on improving the other components: build high-quality backlinks, create highly relevant and valuable content, and work on increasing your site's traffic and user engagement. Over time, these efforts will also help increase your DA.

Q6: How accurate is the Estimated Monthly Traffic input?

A: The accuracy depends on the tool used. Google Analytics provides the most direct data. Third-party tools offer estimates that can vary. Use the most reliable data available to you for the most accurate BDWS calculation.

Q7: Does the calculator account for keyword difficulty?

A: While keyword difficulty isn't a direct input, factors like Content Relevance and Traffic Multiplier indirectly reflect your ability to rank for target terms. High relevance and traffic suggest you are succeeding in competitive areas.

Q8: Can I use this calculator for any website?

A: Yes, this black domain weighted calculator is designed for any website aiming to improve its search engine performance. The principles behind the score are universally applicable in SEO.

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var domainAuthorityInput = document.getElementById('domainAuthority'); var backlinkQualityScoreInput = document.getElementById('backlinkQualityScore'); var contentRelevanceScoreInput = document.getElementById('contentRelevanceScore'); var domainAgeYearsInput = document.getElementById('domainAgeYears'); var siteTrafficEstimateInput = document.getElementById('siteTrafficEstimate'); var daError = document.getElementById('daError'); var bqError = document.getElementById('bqError'); var crError = document.getElementById('crError'); var ageError = document.getElementById('ageError'); var trafficError = document.getElementById('trafficError'); var finalScoreDisplay = document.getElementById('finalScore'); var weightedDADisplay = document.getElementById('weightedDA'); var weightedBacklinksDisplay = document.getElementById('weightedBacklinks'); var weightedContentDisplay = document.getElementById('weightedContent'); var domainAgeFactorDisplay = document.getElementById('domainAgeFactor'); var trafficMultiplierDisplay = document.getElementById('trafficMultiplier'); var scoreChart; var chartContext = document.getElementById('scoreChart').getContext('2d'); function validateInput(inputElement, errorElement, min, max) { var value = parseFloat(inputElement.value); var isValid = true; if (isNaN(value) || value max)) { errorElement.classList.add('visible'); isValid = false; } else { errorElement.classList.remove('visible'); } return isValid; } function calculateBlackDomainWeightedScore() { var isValidDA = validateInput(domainAuthorityInput, daError, 0, 100); var isValidBQ = validateInput(backlinkQualityScoreInput, bqError, 0, 100); var isValidCR = validateInput(contentRelevanceScoreInput, crError, 0, 100); var isValidAge = validateInput(domainAgeYearsInput, ageError, 0); var isValidTraffic = validateInput(siteTrafficEstimateInput, trafficError, 0); if (!isValidDA || !isValidBQ || !isValidCR || !isValidAge || !isValidTraffic) { // Clear results if any input is invalid finalScoreDisplay.textContent = '–'; weightedDADisplay.textContent = '–'; weightedBacklinksDisplay.textContent = '–'; weightedContentDisplay.textContent = '–'; domainAgeFactorDisplay.textContent = '–'; trafficMultiplierDisplay.textContent = '–'; updateChart(['–', '–', '–', '–', '–']); return; } var da = parseFloat(domainAuthorityInput.value); var avgBacklinkQuality = parseFloat(backlinkQualityScoreInput.value); var contentRelevance = parseFloat(contentRelevanceScoreInput.value); var domainAgeYears = parseFloat(domainAgeYearsInput.value); var siteTrafficEstimate = parseFloat(siteTrafficEstimateInput.value); var weightDA = 0.4; var weightBQ = 0.2; var weightCR = 0.2; var weightedDA = da * weightDA; var weightedBacklinks = avgBacklinkQuality * weightBQ; var weightedContent = contentRelevance * weightCR; var domainAgeFactor = Math.log10(domainAgeYears + 1) * 5; var trafficMultiplier = Math.log10(siteTrafficEstimate + 1) * 2; // Ensure factors are not NaN if inputs are edge cases (though validation should prevent this) domainAgeFactor = isNaN(domainAgeFactor) ? 0 : domainAgeFactor; trafficMultiplier = isNaN(trafficMultiplier) ? 0 : trafficMultiplier; var finalScore = weightedDA + weightedBacklinks + weightedContent + domainAgeFactor + trafficMultiplier; // Cap the final score at 100 for presentation, though the calculation might exceed it // finalScore = Math.min(finalScore, 100); finalScoreDisplay.textContent = finalScore.toFixed(2); weightedDADisplay.textContent = weightedDA.toFixed(2); weightedBacklinksDisplay.textContent = weightedBacklinks.toFixed(2); weightedContentDisplay.textContent = weightedContent.toFixed(2); domainAgeFactorDisplay.textContent = domainAgeFactor.toFixed(2); trafficMultiplierDisplay.textContent = trafficMultiplier.toFixed(2); updateChart([ weightedDA.toFixed(2), weightedBacklinks.toFixed(2), weightedContent.toFixed(2), domainAgeFactor.toFixed(2), trafficMultiplier.toFixed(2) ]); } function updateChart(dataValues) { var labels = ['Weighted DA', 'Backlinks', 'Content', 'Domain Age', 'Traffic']; var backgroundColors = [ 'rgba(0, 74, 153, 0.6)', // Primary Blue 'rgba(40, 167, 69, 0.6)', // Success Green 'rgba(255, 193, 7, 0.6)', // Warning Yellow 'rgba(108, 117, 125, 0.6)', // Secondary Gray 'rgba(23, 162, 184, 0.6)' // Info Teal ]; var borderColors = [ 'rgba(0, 74, 153, 1)', 'rgba(40, 167, 69, 1)', 'rgba(255, 193, 7, 1)', 'rgba(108, 117, 125, 1)', 'rgba(23, 162, 184, 1)' ]; if (scoreChart) { scoreChart.destroy(); } scoreChart = new Chart(chartContext, { type: 'bar', data: { labels: labels, datasets: [{ label: 'Score Component Value', data: dataValues, backgroundColor: backgroundColors, borderColor: borderColors, borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, scales: { y: { beginAtZero: true, title: { display: true, text: 'Contribution Value' } } }, plugins: { legend: { display: false // Hide legend as labels are on bars }, title: { display: true, text: 'Contribution of Each Factor to BDWS' } } } }); } function resetCalculator() { domainAuthorityInput.value = 50; backlinkQualityScoreInput.value = 75; contentRelevanceScoreInput.value = 80; domainAgeYearsInput.value = 5; siteTrafficEstimateInput.value = 10000; daError.classList.remove('visible'); bqError.classList.remove('visible'); crError.classList.remove('visible'); ageError.classList.remove('visible'); trafficError.classList.remove('visible'); calculateBlackDomainWeightedScore(); // Recalculate with default values } function copyResults() { var score = finalScoreDisplay.textContent; var weightedDAVal = weightedDADisplay.textContent; var weightedBacklinksVal = weightedBacklinksDisplay.textContent; var weightedContentVal = weightedContentDisplay.textContent; var domainAgeFactorVal = domainAgeFactorDisplay.textContent; var trafficMultiplierVal = trafficMultiplierDisplay.textContent; var assumptions = "Key Assumptions:\n" + "- Domain Authority (DA): " + domainAuthorityInput.value + "\n" + "- Avg Backlink Quality: " + backlinkQualityScoreInput.value + "\n" + "- Content Relevance: " + contentRelevanceScoreInput.value + "\n" + "- Domain Age (Years): " + domainAgeYearsInput.value + "\n" + "- Est. Monthly Traffic: " + siteTrafficEstimateInput.value; var resultsText = "Black Domain Weighted Score (BDWS) Results:\n" + "—————————————-\n" + "BDWS: " + score + "\n" + "Weighted DA Component: " + weightedDAVal + "\n" + "Weighted Backlink Component: " + weightedBacklinksVal + "\n" + "Weighted Content Component: " + weightedContentVal + "\n" + "Domain Age Factor: " + domainAgeFactorVal + "\n" + "Traffic Multiplier: " + trafficMultiplierVal + "\n\n" + assumptions; // Use a temporary textarea to copy text to clipboard var textArea = document.createElement("textarea"); textArea.value = resultsText; textArea.style.position = "fixed"; textArea.style.left = "-9999px"; document.body.appendChild(textArea); textArea.focus(); textArea.select(); try { var successful = document.execCommand('copy'); var msg = successful ? 'Results copied successfully!' : 'Failed to copy results.'; // Optionally show a temporary message to the user console.log(msg); // Example: Add a temporary notification var notification = document.createElement('div'); notification.textContent = msg; notification.style.cssText = 'position: fixed; bottom: 20px; left: 50%; transform: translateX(-50%); background-color: var(–primary-color); color: white; padding: 10px 20px; border-radius: 5px; z-index: 1000;'; document.body.appendChild(notification); setTimeout(function() { document.body.removeChild(notification); }, 3000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); // Example: Add a temporary notification for failure var notification = document.createElement('div'); notification.textContent = 'Failed to copy results. Please copy manually.'; notification.style.cssText = 'position: fixed; bottom: 20px; left: 50%; transform: translateX(-50%); background-color: red; color: white; padding: 10px 20px; border-radius: 5px; z-index: 1000;'; document.body.appendChild(notification); setTimeout(function() { document.body.removeChild(notification); }, 3000); } document.body.removeChild(textArea); } // Initial calculation on page load document.addEventListener('DOMContentLoaded', function() { // Ensure chart is initialized even if no calculation is done yet updateChart(['0.00', '0.00', '0.00', '0.00', '0.00']); calculateBlackDomainWeightedScore(); // Add event listeners for real-time updates var inputs = [domainAuthorityInput, backlinkQualityScoreInput, contentRelevanceScoreInput, domainAgeYearsInput, siteTrafficEstimateInput]; inputs.forEach(function(input) { input.addEventListener('input', calculateBlackDomainWeightedScore); input.addEventListener('change', calculateBlackDomainWeightedScore); // Also trigger on change }); });

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