Ppc Budget Calculator

PPC Budget Calculator: Optimize Your Ad Spend body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; background-color: #f8f9fa; color: #333; margin: 0; padding: 0; } .container { max-width: 960px; margin: 20px auto; padding: 20px; background-color: #fff; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); border-radius: 8px; } h1, h2, h3 { color: #004a99; text-align: center; } h1 { margin-bottom: 20px; } h2 { margin-top: 30px; margin-bottom: 15px; border-bottom: 2px solid #004a99; padding-bottom: 5px; } .calculator-section { background-color: #e9ecef; padding: 25px; border-radius: 8px; margin-bottom: 30px; } .loan-calc-container { display: flex; flex-direction: column; gap: 15px; } .input-group { display: flex; flex-direction: column; gap: 5px; } .input-group label { font-weight: bold; color: #004a99; } .input-group input[type="number"], .input-group select { padding: 10px; border: 1px solid #ccc; border-radius: 4px; font-size: 1rem; width: 100%; box-sizing: border-box; } .input-group .helper-text { font-size: 0.85rem; color: #666; margin-top: 5px; } .error-message { color: #dc3545; font-size: 0.85rem; margin-top: 5px; } .button-group { display: flex; gap: 10px; justify-content: center; margin-top: 20px; flex-wrap: wrap; } button { padding: 10px 20px; border: none; border-radius: 5px; font-size: 1rem; font-weight: bold; cursor: pointer; transition: background-color 0.3s ease; } .btn-primary { background-color: #004a99; color: white; } .btn-primary:hover { background-color: #003366; } .btn-secondary { background-color: #6c757d; color: white; } .btn-secondary:hover { background-color: #5a6268; } .btn-success { background-color: #28a745; color: white; } .btn-success:hover { background-color: #218838; } #results { margin-top: 30px; background-color: #d1ecf1; color: #0c5460; border: 1px solid #bee5eb; border-radius: 5px; padding: 20px; text-align: center; } #results .main-result { font-size: 2.5rem; font-weight: bold; color: #004a99; margin-bottom: 15px; display: inline-block; padding: 10px 20px; background-color: #ffffff; border-radius: 5px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } #results .intermediate-results p { margin: 8px 0; font-size: 1.1rem; } #results .formula-explanation { font-size: 0.9rem; color: #004a99; margin-top: 15px; font-style: italic; } table { width: 100%; border-collapse: collapse; margin-top: 20px; margin-bottom: 20px; overflow-x: auto; /* For mobile responsiveness */ display: block; /* Needed for overflow-x to work */ } th, td { padding: 10px; text-align: left; border: 1px solid #ddd; } th { background-color: #004a99; color: white; } tr:nth-child(even) { background-color: #f2f2f2; } caption { font-weight: bold; color: #004a99; margin-bottom: 10px; font-size: 1.1rem; } canvas { display: block; /* Removes bottom space */ max-width: 100%; /* Responsive chart width */ height: auto !important; /* Ensure canvas scales properly */ margin: 20px auto; background-color: #fff; border-radius: 5px; box-shadow: 0 2px 5px rgba(0,0,0,0.1); } .chart-legend { text-align: center; margin-top: 10px; font-size: 0.9rem; color: #555; } .chart-legend span { display: inline-block; margin: 0 10px; } .chart-legend .color-box { display: inline-block; width: 12px; height: 12px; margin-right: 5px; vertical-align: middle; border-radius: 3px; } .article-content { margin-top: 40px; background-color: #fff; padding: 30px; border-radius: 8px; box-shadow: 0 2px 10px rgba(0, 0, 0, 0.1); } .article-content h2, .article-content h3 { text-align: left; color: #004a99; } .article-content p, .article-content ul, .article-content ol { margin-bottom: 15px; } .article-content ul, .article-content ol { padding-left: 25px; } .article-content li { margin-bottom: 8px; } .article-content a { color: #004a99; text-decoration: none; font-weight: bold; } .article-content a:hover { text-decoration: underline; } .related-tools ul { list-style: none; padding: 0; } .related-tools li { margin-bottom: 10px; } @media (max-width: 768px) { .container { margin: 10px; padding: 15px; } h1 { font-size: 1.8rem; } h2 { font-size: 1.5rem; } button { padding: 8px 15px; font-size: 0.9rem; } #results .main-result { font-size: 2rem; } }

PPC Budget Calculator: Optimize Your Ad Spend

Calculate your ideal Pay-Per-Click (PPC) advertising budget based on your goals, target metrics, and expected performance.

PPC Budget Calculator

The total number of desired conversions (e.g., sales, leads).
The percentage of clicks you expect to convert into desired actions.
The average amount you expect to pay for each click on your ads.
The return on investment you aim to achieve from your ad spend.

Your PPC Budget Recommendations

Estimated Clicks Needed:

Estimated Total Spend:

Estimated Revenue (based on ROI):

How it's calculated: First, we determine the clicks needed to achieve your target conversions using the conversion rate. Then, we calculate the total spend by multiplying clicks by the average CPC. Finally, we estimate the revenue needed to achieve your desired ROI, which helps in setting a profitable budget target. Revenue = (Estimated Total Spend / (100 – (100 / (1 + Desired ROI / 100))))

What is a PPC Budget Calculator?

A PPC budget calculator is a crucial financial tool designed for advertisers and marketers to estimate the necessary spending for their Pay-Per-Click (PPC) campaigns. It helps users determine how much they need to invest to achieve specific advertising goals, such as a target number of conversions, a desired return on investment (ROI), or a particular cost per acquisition (CPA).

By inputting key performance indicators (KPIs) like target conversion rate, average cost per click (CPC), and desired ROI, the calculator provides an estimated budget. This allows businesses, from small startups to large enterprises, to plan their marketing expenditures more effectively, allocate resources efficiently, and set realistic performance expectations for their PPC efforts.

Who should use it:

  • Digital marketing managers planning campaign budgets.
  • Small business owners testing the waters of PPC advertising.
  • E-commerce businesses aiming for specific sales targets.
  • Anyone looking to forecast advertising costs and potential returns.

Common Misconceptions:

  • "It gives an exact, fixed budget": Calculators provide estimates based on your inputs. Actual costs can vary due to market fluctuations, competition, and campaign optimization.
  • "It guarantees ROI": While it helps project potential ROI, achieving it depends on campaign quality, targeting, ad creatives, and landing page experience.
  • "It's a one-time tool": A PPC budget calculator is best used periodically to adjust budgets as campaigns evolve and market conditions change.

PPC Budget Calculator Formula and Mathematical Explanation

The PPC budget calculator works by reverse-engineering your advertising goals. It takes your desired outcomes and current performance metrics to estimate the required investment. Here's a breakdown of the core calculations:

1. Calculating Clicks Needed

This step determines how many clicks your campaign needs to achieve the target number of conversions.

Formula: Clicks Needed = Target Conversions / Target Conversion Rate

2. Calculating Estimated Total Spend

Once we know the clicks needed, we can estimate the total cost by multiplying it by the average cost per click.

Formula: Estimated Total Spend = Clicks Needed * Average CPC

3. Calculating Estimated Revenue for Desired ROI

To achieve a specific ROI, the revenue generated must cover the total spend plus the desired profit margin. This can be a bit more complex.

Let's define ROI: ROI = (Revenue - Cost) / Cost

Rearranging to solve for Revenue: Revenue = Cost * (1 + ROI)

In our calculator, the 'Cost' is the 'Estimated Total Spend'. The 'Desired ROI' is given as a percentage.

Formula: Estimated Revenue = Estimated Total Spend * (1 + (Desired ROI / 100))

If you want to determine the budget needed to achieve a *specific revenue goal* (e.g., $10,000 in sales), you would use the 'Estimated Total Spend' as the maximum budget and check if the potential revenue meets your target. Our calculator focuses on the budget required to achieve target conversions and then projects revenue based on that spend and your desired ROI.

Variables Table

Variables Used in PPC Budget Calculation
Variable Meaning Unit Typical Range
Target Conversions The desired number of successful outcomes (e.g., sales, leads, sign-ups) from the campaign. Count 1+
Target Conversion Rate The expected percentage of clicks that will result in a conversion. Percentage (%) 0.1% – 50%+ (highly variable by industry)
Average CPC The average cost paid for each individual click on an ad. Currency (e.g., USD, EUR) $0.10 – $100+ (highly variable by industry and keyword)
Desired ROI The target return on advertising spend, expressed as a percentage of profit relative to cost. Percentage (%) 0% – 500%+
Clicks Needed The calculated number of clicks required to meet the target conversions. Count Calculated
Estimated Total Spend The projected total cost of the campaign based on clicks needed and average CPC. Currency (e.g., USD, EUR) Calculated
Estimated Revenue The projected revenue needed to achieve the desired ROI given the estimated spend. Currency (e.g., USD, EUR) Calculated

Practical Examples (Real-World Use Cases)

Example 1: E-commerce Store Launching a New Product

An online retailer wants to drive sales for a new gadget. They estimate that for every 50 clicks, they get 1 sale (a 2% conversion rate). They want to achieve at least 100 sales in the first month and are willing to pay up to $2.00 per click. They aim for a 300% ROI.

  • Inputs:
    • Target Conversions: 100
    • Target Conversion Rate: 2.0%
    • Average CPC: $2.00
    • Desired ROI: 300%
  • Calculations:
    • Clicks Needed = 100 / 0.02 = 5000 clicks
    • Estimated Total Spend = 5000 clicks * $2.00/click = $10,000
    • Estimated Revenue = $10,000 * (1 + (300 / 100)) = $10,000 * 4 = $40,000
  • Interpretation: To achieve 100 sales with a 2% conversion rate and a $2.00 CPC, the retailer needs approximately 5000 clicks, costing around $10,000. To achieve a 300% ROI on this $10,000 spend, they need to generate $40,000 in revenue. This budget of $10,000 is the core figure to plan for.

Example 2: SaaS Company Generating Leads

A software-as-a-service (SaaS) company wants to acquire new trial users. They know from past campaigns that roughly 5% of clicks turn into qualified leads (a 5% conversion rate). They need 200 new leads and can afford a maximum of $50 per lead (CPA), with a target CPC of $10. They aim for a 500% ROI.

  • Inputs:
    • Target Conversions: 200
    • Target Conversion Rate: 5.0%
    • Average CPC: $10.00
    • Desired ROI: 500%
  • Calculations:
    • Clicks Needed = 200 / 0.05 = 4000 clicks
    • Estimated Total Spend = 4000 clicks * $10.00/click = $40,000
    • Estimated Revenue = $40,000 * (1 + (500 / 100)) = $40,000 * 6 = $240,000
  • Interpretation: To get 200 leads at a 5% conversion rate and a $10 CPC, they need 4000 clicks, costing $40,000. This budget should ideally generate $240,000 in revenue (from these new users) to hit their 500% ROI target. This provides a clear budget for the marketing team.

How to Use This PPC Budget Calculator

Using this PPC budget calculator is straightforward and designed to give you actionable insights quickly. Follow these steps:

  1. Input Your Goals: Start by entering the 'Target Conversions' you aim to achieve within a specific period (e.g., monthly, quarterly).
  2. Specify Performance Metrics: Input your 'Target Conversion Rate' – this is the percentage of clicks you anticipate will lead to a conversion. Also, enter your expected 'Average CPC'. This is crucial; if you're unsure, research average CPCs for your industry and keywords on platforms like Google Ads or Bing Ads.
  3. Set Your Profitability Target: Enter your 'Desired ROI' as a percentage. This tells the calculator how much profit you want to make relative to your ad spend. A higher ROI target might require a more efficient conversion rate or lower CPC.
  4. Initiate Calculation: Click the 'Calculate Budget' button.
  5. Review Results: The calculator will display:
    • Main Result (Estimated Total Spend): This is your primary recommended budget.
    • Estimated Clicks Needed: The number of clicks required.
    • Estimated Revenue: The revenue needed to achieve your desired ROI.
    • Formula Explanation: A brief overview of the calculation logic.
  6. Interpret and Decide: Use the 'Estimated Total Spend' as your budget guideline. Compare the 'Estimated Revenue' against your business's profitability goals. If the required budget seems too high, consider ways to improve your conversion rate, negotiate lower CPCs, or adjust your target ROI.
  7. Reset or Copy: Use the 'Reset' button to clear fields and start over with new inputs. Use 'Copy Results' to save the calculated figures and assumptions for your reports.

This tool empowers informed decision-making for your PPC campaigns, ensuring your advertising investment is aligned with your business objectives.

Key Factors That Affect PPC Budget Results

While the calculator provides a solid estimate, several real-world factors can influence your actual PPC budget requirements and campaign performance:

  1. Industry Competition: Highly competitive industries often have higher CPCs, meaning your budget needs to be larger to achieve the same number of clicks and conversions. Fierce competition drives up auction prices.
  2. Keyword Selectivity & Quality Score: Using highly specific, relevant keywords generally leads to better quality scores, potentially lowering your CPC. Broader, less relevant keywords can be more expensive and yield poorer results. A low Quality Score directly increases your CPC.
  3. Ad Quality and Relevance: Engaging ad copy and creatives that closely match user search intent lead to higher click-through rates (CTR) and can improve Quality Scores, potentially reducing CPC and thus your overall budget need for a set number of conversions.
  4. Landing Page Experience: A well-optimized landing page with a clear call-to-action and a seamless user experience significantly impacts conversion rates. A poor landing page can inflate the number of clicks needed, increasing your total spend.
  5. Geographic Targeting: Bidding in more competitive or affluent geographic areas can lead to higher CPCs compared to less competitive regions. This impacts the overall budget required.
  6. Device Performance: Performance can vary significantly across different devices (desktop, mobile, tablet). You might need to adjust bids and budgets based on which devices drive the most cost-effective conversions for your specific campaign.
  7. Seasonality and Market Trends: Demand for certain products or services fluctuates throughout the year. Budgets may need to be increased during peak seasons and potentially reduced during off-peak times.
  8. Campaign Goals Beyond Conversions: If your campaign aims for brand awareness or traffic rather than direct conversions, the budget calculation and objectives change. This calculator is optimized for conversion-focused campaigns.

Frequently Asked Questions (FAQ)

General Questions

Q1: How often should I update my PPC budget?
A: It's recommended to review and potentially adjust your PPC budget at least monthly, or more frequently during significant campaign changes, market shifts, or peak sales periods. Use the calculator periodically to re-evaluate.

Q2: What if my actual CPC is higher than I estimated?
A: If your actual CPC is higher, you'll need either a larger budget to achieve the same number of clicks, or you'll achieve fewer clicks with the same budget. You may need to revisit keyword strategy, improve Quality Scores, or adjust campaign goals.

Q3: My conversion rate is lower than expected. What should I do?
A: A low conversion rate means you need more clicks (and thus more budget) to reach your conversion target. Focus on improving ad relevance, landing page optimization, and audience targeting.

Q4: Can I use this calculator for different PPC platforms (Google Ads, Facebook Ads, etc.)?
A: Yes, the core principles apply across major PPC platforms. However, CPCs and typical conversion rates vary significantly between platforms, so ensure your input estimates are relevant to the specific platform you're using.

Advanced Considerations

Q5: How does ROI impact my budget?
A: A higher desired ROI means the revenue generated must significantly exceed the ad spend. If your profit margins are thin, achieving a high ROI might require a very efficient campaign (high conversion rate, low CPC) or a larger budget to generate substantial revenue.

Q6: What if I have a fixed budget? How do I use the calculator?
A: If you have a fixed budget, input it as your 'Estimated Total Spend' and work backward. You can then calculate the expected number of clicks and, subsequently, the potential number of conversions based on your target conversion rate. You might need to adjust your target ROI or conversions.

Q7: Should I include agency fees or tool costs in my budget?
A: This calculator primarily focuses on ad spend. For a complete picture, you should add costs like agency management fees, software subscriptions, and creative production to your overall marketing budget. These often impact your net ROI.

Q8: What is a 'Quality Score' and how does it affect my budget?
A: Quality Score (primarily in Google Ads) is an estimate of the quality of your ads, keywords, and landing pages. Higher Quality Scores typically lead to lower CPCs and better ad positions, meaning you can often achieve your goals with a smaller budget than if you had a low Quality Score.

Related Tools and Internal Resources

function validateInput(id, min, max) { var input = document.getElementById(id); var errorElement = document.getElementById(id + 'Error'); var value = parseFloat(input.value); errorElement.textContent = "; // Clear previous error if (isNaN(value)) { errorElement.textContent = 'Please enter a valid number.'; return false; } if (min !== undefined && value max) { errorElement.textContent = 'Value cannot be greater than ' + max + '.'; return false; } return true; } function calculatePpcBudget() { var targetConversionsValid = validateInput('targetConversions', 1); var conversionRateValid = validateInput('conversionRate', 0.1, 100); var averageCpcValid = validateInput('averageCpc', 0.01); var desiredRoiValid = validateInput('desiredRoi', 0); if (!targetConversionsValid || !conversionRateValid || !averageCpcValid || !desiredRoiValid) { document.getElementById('results').style.display = 'none'; return; } var targetConversions = parseFloat(document.getElementById('targetConversions').value); var conversionRatePercent = parseFloat(document.getElementById('conversionRate').value); var averageCpc = parseFloat(document.getElementById('averageCpc').value); var desiredRoiPercent = parseFloat(document.getElementById('desiredRoi').value); var conversionRate = conversionRatePercent / 100; // Convert percentage to decimal var estimatedClicks = targetConversions / conversionRate; var estimatedSpend = estimatedClicks * averageCpc; // Calculate Revenue for Desired ROI // Formula: Revenue = Cost * (1 + ROI) // Cost here is Estimated Spend var estimatedRevenue = estimatedSpend * (1 + (desiredRoiPercent / 100)); // Handle potential division by zero or negative values if ROI logic was different if (isNaN(estimatedRevenue) || !isFinite(estimatedRevenue)) { estimatedRevenue = 0; // Or handle as an error case if appropriate } document.getElementById('estimatedClicks').textContent = Math.round(estimatedClicks).toLocaleString(); document.getElementById('estimatedSpend').textContent = '$' + estimatedSpend.toFixed(2); document.getElementById('estimatedRevenue').textContent = '$' + estimatedRevenue.toFixed(2); // Main result is the Estimated Total Spend document.getElementById('mainResult').textContent = '$' + estimatedSpend.toFixed(2); document.getElementById('results').style.display = 'block'; // Store data for copy functionality var resultsData = { assumptions: { "Target Conversions": targetConversions.toLocaleString(), "Target Conversion Rate (%)": conversionRatePercent.toFixed(1), "Average CPC": '$' + averageCpc.toFixed(2), "Desired ROI (%)": desiredRoiPercent.toFixed(0) }, results: { "Estimated Total Spend": '$' + estimatedSpend.toFixed(2), "Estimated Clicks Needed": Math.round(estimatedClicks).toLocaleString(), "Estimated Revenue (for Desired ROI)": '$' + estimatedRevenue.toFixed(2) } }; document.getElementById('resultsData').textContent = JSON.stringify(resultsData); // Update Chart updateChart(estimatedClicks, estimatedSpend, estimatedRevenue); } function resetCalculator() { document.getElementById('targetConversions').value = '100'; document.getElementById('conversionRate').value = '2.5'; document.getElementById('averageCpc').value = '1.50'; document.getElementById('desiredRoi').value = '200'; // Clear errors var errorElements = document.querySelectorAll('.error-message'); for (var i = 0; i < errorElements.length; i++) { errorElements[i].textContent = ''; } document.getElementById('results').style.display = 'none'; document.getElementById('resultsData').textContent = ''; if (window.myChart instanceof Chart) { window.myChart.destroy(); // Destroy previous chart instance if it exists } // Clear canvas var canvas = document.getElementById('ppcChart'); var ctx = canvas.getContext('2d'); ctx.clearRect(0, 0, canvas.width, canvas.height); } function copyResults() { var data = document.getElementById('resultsData').textContent; if (!data) { alert("No results to copy yet. Please calculate first."); return; } var parsedData = JSON.parse(data); var assumptions = parsedData.assumptions; var results = parsedData.results; var textToCopy = "— PPC Budget Calculator Results —\n\n"; textToCopy += "Key Assumptions:\n"; for (var key in assumptions) { textToCopy += "- " + key + ": " + assumptions[key] + "\n"; } textToCopy += "\nCalculated Results:\n"; for (var key in results) { textToCopy += "- " + key + ": " + results[key] + "\n"; } // Using a temporary textarea for copying var textArea = document.createElement("textarea"); textArea.value = textToCopy; 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!' : 'Failed to copy results.'; // Provide visual feedback var originalButtonText = event.target.textContent; event.target.textContent = msg; setTimeout(function() { event.target.textContent = originalButtonText; }, 2000); } catch (err) { console.error('Fallback: Oops, unable to copy', err); // Provide visual feedback var originalButtonText = event.target.textContent; event.target.textContent = 'Copy Failed!'; setTimeout(function() { event.target.textContent = originalButtonText; }, 2000); } document.body.removeChild(textArea); } // — Charting Logic — var myChart = null; // Global variable to hold chart instance function updateChart(clicks, spend, revenue) { var ctx = document.getElementById('ppcChart').getContext('2d'); // Destroy previous chart instance if it exists if (myChart) { myChart.destroy(); } // Define data points var dataPoints = [ { label: "Estimated Clicks Needed", value: clicks, color: 'rgba(0, 74, 153, 0.7)' }, // Blue { label: "Estimated Total Spend", value: spend, color: 'rgba(40, 167, 69, 0.7)' }, // Green { label: "Estimated Revenue", value: revenue, color: 'rgba(255, 193, 7, 0.7)' } // Yellow/Orange ]; // Scale data points for better visualization if values are vastly different var maxValue = Math.max(clicks, spend, revenue); var scaledDataPoints = dataPoints.map(function(dp) { return { label: dp.label, value: dp.value, // Keep original value for tooltips if needed scaledValue: (dp.value / maxValue) * 100, // Scale to 0-100 for bar height relative to max color: dp.color }; }); myChart = new Chart(ctx, { type: 'bar', data: { labels: scaledDataPoints.map(function(dp) { return dp.label; }), datasets: [{ label: 'PPC Metrics', data: scaledDataPoints.map(function(dp) { return dp.scaledValue; }), backgroundColor: scaledDataPoints.map(function(dp) { return dp.color; }), borderColor: scaledDataPoints.map(function(dp) { return dp.color.replace('0.7)', '1)'); }), borderWidth: 1 }] }, options: { responsive: true, maintainAspectRatio: false, // Allows custom height if needed, but responsive handles width scales: { y: { beginAtZero: true, title: { display: true, text: 'Relative Scale (vs Max Value)' }, ticks: { callback: function(value) { // Display original values in ticks if desired, or just scale percentages // For simplicity here, we show percentages of the max value return value + '%'; } } }, x: { title: { display: true, text: 'Metric' } } }, plugins: { legend: { display: true, position: 'bottom', labels: { generateLabels: function(chart) { var data = chart.data; if (data.labels.length && data.datasets.length) { return data.labels.map(function(label, i) { var dataset = data.datasets[0]; var currentValue = dataset.data[i]; // Scaled value var originalValue = parseFloat(originalValues[label]); // Get original value var originalValueFormatted = ''; if (label.includes('Spend')) originalValueFormatted = '$' + parseFloat(originalValue).toFixed(2); else if (label.includes('Revenue')) originalValueFormatted = '$' + parseFloat(originalValue).toFixed(2); else originalValueFormatted = parseFloat(originalValue).toLocaleString(); return { text: label + ' (' + originalValueFormatted + ')', // Append original value fillStyle: dataset.backgroundColor[i], strokeStyle: dataset.borderColor[i], lineWidth: dataset.borderWidth, hidden: !chart.isDatasetVisible(dataset), index: i }; }); } return []; } } }, tooltip: { callbacks: { label: function(context) { var label = context.dataset.label || ''; if (label) { label += ': '; } if (context.parsed.y !== null) { // Find the original value for this label var originalValue = 'N/A'; var metricLabel = context.chart.data.labels[context.dataIndex]; if (metricLabel.includes('Spend')) originalValue = '$' + parseFloat(spend).toFixed(2); else if (metricLabel.includes('Revenue')) originalValue = '$' + parseFloat(revenue).toFixed(2); else if (metricLabel.includes('Clicks')) originalValue = Math.round(clicks).toLocaleString(); label += originalValue + ' (Scaled: ' + context.parsed.y.toFixed(1) + '%)'; } return label; } } } } } }); // Store original values for tooltip formatting window.originalValues = { "Estimated Clicks Needed": clicks, "Estimated Total Spend": spend, "Estimated Revenue": revenue }; } // Initial calculation on load if needed, or wait for user interaction document.addEventListener('DOMContentLoaded', function() { // Optionally call calculatePpcBudget() here if you want it to run once on page load // Or just var it wait for button click });

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