.sales-strike-rate-calculator-container {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
max-width: 800px;
margin: 0 auto;
padding: 20px;
color: #333;
}
.calculator-box {
background: #f8f9fa;
border: 1px solid #e9ecef;
border-radius: 8px;
padding: 30px;
box-shadow: 0 4px 6px rgba(0,0,0,0.05);
margin-bottom: 40px;
}
.calc-title {
text-align: center;
color: #2c3e50;
margin-bottom: 25px;
font-size: 24px;
font-weight: 700;
}
.input-group {
margin-bottom: 20px;
}
.input-group label {
display: block;
margin-bottom: 8px;
font-weight: 600;
color: #495057;
}
.input-group input {
width: 100%;
padding: 12px;
border: 1px solid #ced4da;
border-radius: 4px;
font-size: 16px;
box-sizing: border-box;
transition: border-color 0.2s;
}
.input-group input:focus {
border-color: #007bff;
outline: none;
}
.calc-btn {
display: block;
width: 100%;
padding: 14px;
background-color: #28a745;
color: white;
border: none;
border-radius: 4px;
font-size: 18px;
font-weight: 600;
cursor: pointer;
transition: background-color 0.2s;
}
.calc-btn:hover {
background-color: #218838;
}
.results-box {
margin-top: 25px;
padding: 20px;
background-color: #fff;
border: 1px solid #dee2e6;
border-radius: 4px;
display: none;
}
.result-row {
display: flex;
justify-content: space-between;
align-items: center;
padding: 10px 0;
border-bottom: 1px solid #eee;
}
.result-row:last-child {
border-bottom: none;
}
.result-label {
font-weight: 500;
color: #6c757d;
}
.result-value {
font-weight: 700;
font-size: 18px;
color: #2c3e50;
}
.highlight-value {
color: #28a745;
font-size: 24px;
}
.content-section {
line-height: 1.6;
}
.content-section h2 {
color: #2c3e50;
margin-top: 30px;
border-bottom: 2px solid #eee;
padding-bottom: 10px;
}
.content-section ul {
padding-left: 20px;
}
.content-section li {
margin-bottom: 10px;
}
.error-msg {
color: #dc3545;
font-size: 14px;
margin-top: 5px;
display: none;
}
function calculateSalesStrikeRate() {
// Get inputs
var totalOpp = document.getElementById('totalOpportunities').value;
var dealsWon = document.getElementById('dealsClosed').value;
var dealValue = document.getElementById('avgDealValue').value;
// Get error elements
var oppError = document.getElementById('oppError');
var closedError = document.getElementById('closedError');
var resultBox = document.getElementById('resultsDisplay');
var revRow = document.getElementById('revenueRow');
var rplRow = document.getElementById('revenuePerRow');
// Reset errors
oppError.style.display = 'none';
closedError.style.display = 'none';
// Parse numbers
var opps = parseFloat(totalOpp);
var wins = parseFloat(dealsWon);
var val = parseFloat(dealValue);
// Validation logic
var isValid = true;
if (isNaN(opps) || opps <= 0) {
oppError.style.display = 'block';
isValid = false;
}
if (isNaN(wins) || wins opps) {
closedError.style.display = 'block';
isValid = false;
}
if (!isValid) {
resultBox.style.display = 'none';
return;
}
// Calculations
var strikeRate = (wins / opps) * 100;
var missed = opps – wins;
var ratio = 0;
if (wins > 0) {
ratio = opps / wins;
}
// Revenue Calculations
var hasRevenue = !isNaN(val) && val > 0;
var totalRevenue = 0;
var rpl = 0;
if (hasRevenue) {
totalRevenue = wins * val;
rpl = totalRevenue / opps;
}
// Update DOM
document.getElementById('strikeRateResult').innerHTML = strikeRate.toFixed(2) + '%';
if (wins > 0) {
document.getElementById('ratioResult').innerHTML = '1 in ' + ratio.toFixed(1);
} else {
document.getElementById('ratioResult').innerHTML = '0 wins';
}
document.getElementById('missedResult').innerHTML = missed;
if (hasRevenue) {
revRow.style.display = 'flex';
rplRow.style.display = 'flex';
document.getElementById('revenueResult').innerHTML = '$' + totalRevenue.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 2});
document.getElementById('rplResult').innerHTML = '$' + rpl.toLocaleString(undefined, {minimumFractionDigits: 2, maximumFractionDigits: 2});
} else {
revRow.style.display = 'none';
rplRow.style.display = 'none';
}
resultBox.style.display = 'block';
}
What is a Sales Strike Rate?
In the world of sales performance metrics, the Sales Strike Rate (often referred to as the "Win Rate," "Close Rate," or "Conversion Rate") is a critical KPI that measures the efficiency of a sales team or an individual representative. It represents the percentage of opportunities, leads, or quotes that successfully convert into closed deals.
Unlike simple volume metrics (like total revenue), the strike rate tells you how effective you are at processing the leads you have. A high strike rate indicates a highly efficient sales process, strong closing skills, and well-qualified leads.
How to Calculate Strike Rate in Sales
The math behind calculating your sales strike rate is straightforward. You compare the number of successes to the total number of attempts.
The Formula:
Strike Rate (%) = (Total Deals Closed / Total Opportunities) × 100
Realistic Calculation Example
Let's say a software sales representative, Alex, had a busy month:
- Total Opportunities: Alex conducted demos for 50 potential clients.
- Deals Closed: Out of those 50 demos, 12 clients signed a contract.
Using the calculator above or the formula:
(12 ÷ 50) = 0.24
0.24 × 100 = 24% Strike Rate
This means for every 4 or 5 demos Alex conducts, he closes approximately 1 deal.
Why is Strike Rate Important?
Tracking this metric allows sales managers and business owners to:
- Identify Bottlenecks: If the strike rate is low despite high lead volume, the problem might be in the closing technique or pricing, rather than lead generation.
- Forecast Revenue: By knowing your strike rate and your average deal size, you can predict future revenue based on your current pipeline.
- Evaluate Lead Quality: A sudden drop in strike rate might indicate that marketing is sending unqualified leads to the sales team.
What is a "Good" Sales Strike Rate?
Benchmark strike rates vary heavily by industry. For example:
- SaaS (Software as a Service): Typically ranges between 15% to 30% for qualified leads.
- Real Estate: Can be lower, often around 10% to 15% depending on the market.
- High-Ticket Consulting: Might be higher (40%+) if leads are heavily pre-vetted.
The best way to use this calculator is to benchmark against your own historical data. Aim to improve your percentage month-over-month through better training, follow-up strategies, and lead qualification.