function calculateConversionRate() {
// 1. Get Elements
var startDateInput = document.getElementById('cr_startDate').value;
var endDateInput = document.getElementById('cr_endDate').value;
var visitorsInput = document.getElementById('cr_visitors').value;
var conversionsInput = document.getElementById('cr_conversions').value;
var errorDiv = document.getElementById('cr_error');
var resultsDiv = document.getElementById('cr_results');
// 2. Reset Display
errorDiv.style.display = 'none';
resultsDiv.style.display = 'none';
// 3. Validation
if (!visitorsInput || !conversionsInput) {
errorDiv.innerText = "Please enter both total visitors and total conversions.";
errorDiv.style.display = 'block';
return;
}
var visitors = parseFloat(visitorsInput);
var conversions = parseFloat(conversionsInput);
if (visitors <= 0) {
errorDiv.innerText = "Visitors must be greater than 0.";
errorDiv.style.display = 'block';
return;
}
if (conversions visitors) {
errorDiv.innerText = "Conversions cannot exceed total visitors (Rate > 100%).";
errorDiv.style.display = 'block';
return;
}
// 4. Calculate Rate
var rate = (conversions / visitors) * 100;
// 5. Date Logic
var days = 0;
var hasDates = false;
if (startDateInput && endDateInput) {
var start = new Date(startDateInput);
var end = new Date(endDateInput);
if (end < start) {
errorDiv.innerText = "End date cannot be before start date.";
errorDiv.style.display = 'block';
return;
}
// Calculate time difference in days (add 1 to include the start date in the range)
var timeDiff = Math.abs(end – start);
days = Math.ceil(timeDiff / (1000 * 60 * 60 * 24)) + 1;
hasDates = true;
}
// 6. Metric Calculations based on Dates
var dailyVisitors = hasDates ? (visitors / days) : 0;
var dailyConversions = hasDates ? (conversions / days) : 0;
// If we have dates, project monthly based on daily average.
// If no dates, we can't project time-based metrics accurately without an assumption,
// but typically monthly projection requires a time basis.
var projectedMonthly = hasDates ? (dailyConversions * 30.44) : 0;
// 7. Update UI
document.getElementById('cr_final_rate').innerText = rate.toFixed(2) + "%";
if (hasDates) {
document.getElementById('cr_duration').innerText = days + (days === 1 ? " Day" : " Days");
document.getElementById('cr_daily_visitors').innerText = dailyVisitors.toFixed(1);
document.getElementById('cr_daily_conversions').innerText = dailyConversions.toFixed(1);
document.getElementById('cr_projected_monthly').innerText = Math.round(projectedMonthly).toLocaleString();
} else {
document.getElementById('cr_duration').innerText = "N/A";
document.getElementById('cr_daily_visitors').innerText = "N/A";
document.getElementById('cr_daily_conversions').innerText = "N/A";
document.getElementById('cr_projected_monthly').innerText = "N/A";
}
resultsDiv.style.display = 'block';
}
Understanding Conversion Rate Analysis by Date
In digital marketing and e-commerce, tracking performance over specific time periods is crucial for identifying trends, seasonality, and campaign effectiveness. A Conversion Rate Calculator by Date helps you not only determine the percentage of visitors who take a desired action but also analyzes the velocity of these actions over a set duration.
Why Include Dates in Calculation?
While the standard conversion rate formula is simply (Conversions / Visitors) × 100, adding a time dimension allows you to understand the "pulse" of your business.
Seasonality: Compare a date range in December vs. July to see holiday impacts.
Campaign Runs: Isolate the exact start and end dates of a specific ad campaign to measure its standalone efficiency.
Daily Velocity: Understanding how many conversions you generate per day helps in inventory planning and support staffing.
Definitions
Total Visitors (Sessions): The total number of unique visits or sessions to your landing page or website within the selected date range.
Total Conversions: The number of desired actions completed (purchases, sign-ups, downloads) during the same period.
Duration: The total count of days between the Start Date and End Date (inclusive).
Projected Monthly Volume: An estimation of total conversions for a full month based on the daily average of the selected period.
How to Interpret Your Results
The Conversion Rate (%): This is your primary efficiency metric. A rate between 2% and 5% is generally considered average for e-commerce, though this varies wildly by industry.
Avg. Daily Conversions: This metric tells you your volume consistency. If your conversion rate is high but your daily volume is low, you may need to focus on driving more traffic (Visitors) rather than optimizing the page further.
Example Calculation
Imagine you ran a "Summer Sale" campaign from June 1st to June 15th.