Every department in your business is generating results. The question is whether you are measuring the right ones.
Most KPI lists you find online give you 50 metrics with no context — no explanation of what good looks like, no formula, no indication of which metrics actually drive decisions. This guide is different. For each of the six core business departments, you will find the most important KPIs, how to calculate them, what the numbers mean, and how they connect to business performance.
Use this as a working reference. Whether you are building a reporting system from scratch, auditing what your teams currently track, or preparing for a board review, this page gives you the foundation.
Here is what we cover:
- Sales KPI examples
- Finance KPI examples
- HR KPI examples
- Operations KPI examples
- Marketing KPI examples
- Customer service KPI examples
What Is a Key Performance Indicator?
A Key Performance Indicator (KPI) is a quantifiable metric that measures how effectively a department or organisation is achieving a specific business objective. KPIs are not vanity metrics — they are the numbers that directly connect daily activity to strategic outcomes.
The word “key” matters. Most businesses track too many metrics and manage too few. A true KPI is one that, if it moves in the wrong direction, demands a response.
Why Departmental KPI Examples Matter for Reporting
Generic KPI lists create a common trap: leadership adopts metrics that sound professional but do not reflect the actual levers of their business.
Departmental KPI examples solve three problems at once.
They anchor measurement to function. A metric that matters in a finance context — like Days Sales Outstanding — is irrelevant to a marketing team. Grouping by department ensures each team is measured on what they can actually control.
They expose gaps in your current reporting. When you compare what you track today against what a well-run department of your size typically tracks, you quickly see where your visibility is blind.
They create a shared language across the business. When every department uses consistent, named metrics in their reporting, executive conversations become faster and more productive.
Sales KPI Examples
Sales is the most measured function in most businesses — and often the most poorly measured. High activity numbers can mask low-quality pipelines. High close rates can hide anemic lead volume. The following KPIs give you a complete picture.
Monthly Recurring Revenue (MRR)
What it measures: The predictable revenue your business generates each month from active customers.
Formula:
MRR = Number of Active Customers × Average Revenue Per Customer
Worked example: 120 active customers paying an average of £850/month = £102,000 MRR
Why it matters: MRR is the single most important indicator of revenue health for any business with recurring contracts. It separates true growth from one-off spikes.
| Performance Level | Monthly Growth Rate |
|---|---|
| Poor | Below 2% |
| Average | 2% – 5% |
| Excellent | Above 5% |
Customer Acquisition Cost (CAC)
What it measures: The total cost of acquiring one new customer, including sales and marketing spend.
Formula:
CAC = Total Sales & Marketing Spend ÷ Number of New Customers Acquired
Worked example: £24,000 spent in Q1 → 40 new customers acquired = £600 CAC
Why it matters: CAC only becomes meaningful when compared against Customer Lifetime Value (LTV). A £600 CAC is excellent if LTV is £6,000. It is a serious problem if LTV is £900.
| Performance Level | LTV:CAC Ratio |
|---|---|
| Poor | Below 2:1 |
| Average | 2:1 – 3:1 |
| Excellent | Above 3:1 |
Sales Conversion Rate
What it measures: The percentage of leads or opportunities that convert into paying customers.
Formula:
Conversion Rate = (Closed Deals ÷ Total Opportunities) × 100
Worked example: 18 closed deals from 90 qualified opportunities = 20% conversion rate
Why it matters: Conversion rate diagnoses pipeline quality and sales team effectiveness. A drop here — while lead volume holds steady — usually points to a product-market fit issue, a pricing problem, or a skills gap in the sales team.
| Performance Level | B2B Conversion Rate |
|---|---|
| Poor | Below 10% |
| Average | 10% – 20% |
| Excellent | Above 20% |
For the full list of sales metrics and deeper benchmarks, visit the Sales KPI library.
Finance KPI Examples
Finance KPIs tell you whether growth is sustainable. A business can show strong revenue numbers while quietly bleeding cash. These metrics keep that from happening.
Gross Profit Margin
What it measures: The percentage of revenue remaining after deducting the direct costs of producing your product or service.
Formula:
Gross Profit Margin = ((Revenue − COGS) ÷ Revenue) × 100
Worked example: £500,000 revenue, £310,000 COGS = £190,000 gross profit = 38% gross margin
Why it matters: Gross margin defines the ceiling for every other investment you make. If your gross margin is 20%, you cannot build a profitable business with 25% operating costs — no matter how fast you grow.
| Performance Level | Gross Profit Margin (Service Business) |
|---|---|
| Poor | Below 30% |
| Average | 30% – 50% |
| Excellent | Above 50% |
Operating Cash Flow
What it measures: The cash generated by normal business operations, before financing or investment activity.
Formula:
Operating Cash Flow = Net Income + Non-Cash Expenses + Changes in Working Capital
Worked example: Net income £80,000 + depreciation £12,000 − increase in receivables £18,000 = £74,000 operating cash flow
Why it matters: Profit is an accounting figure. Cash flow is reality. Businesses with strong P&L results and weak cash flow are at serious risk of insolvency — a pattern that catches many growing companies off guard.
| Performance Level | OCF Margin |
|---|---|
| Poor | Below 5% |
| Average | 5% – 15% |
| Excellent | Above 15% |
Days Sales Outstanding (DSO)
What it measures: The average number of days it takes to collect payment after a sale.
Formula:
DSO = (Accounts Receivable ÷ Total Credit Sales) × Number of Days
Worked example: £95,000 accounts receivable, £380,000 in credit sales over 90 days = (£95,000 ÷ £380,000) × 90 = 22.5 days DSO
Why it matters: DSO is a direct measure of working capital efficiency. Every day above your target DSO is cash sitting in someone else’s account instead of yours.
| Performance Level | DSO |
|---|---|
| Poor | Above 45 days |
| Average | 30 – 45 days |
| Excellent | Below 30 days |
Explore the complete set of financial metrics in the Finance KPI library.
HR KPI Examples
People metrics are the most frequently neglected category in SME reporting. That is a costly blind spot. Your labour costs are almost certainly your largest expense line, and the KPIs below tell you whether that investment is working.
Employee Turnover Rate
What it measures: The percentage of employees who leave the organisation in a given period.
Formula:
Turnover Rate = (Number of Departures ÷ Average Number of Employees) × 100
Worked example: 8 departures over 12 months, average headcount 65 = (8 ÷ 65) × 100 = 12.3% annual turnover
Why it matters: High turnover compounds costs silently. Recruiting, onboarding, and lost productivity from a single mid-level departure can cost 50–200% of that role’s annual salary (industry estimate). A 12% turnover rate in a 65-person business means you are replacing roughly 8 people per year.
| Performance Level | Annual Turnover Rate |
|---|---|
| Poor | Above 20% |
| Average | 10% – 20% |
| Excellent | Below 10% |
Time to Hire
What it measures: The number of days between a job opening being approved and a candidate accepting an offer.
Formula:
Time to Hire = Date Offer Accepted − Date Job Requisition Opened
Worked example: Requisition opened March 1, offer accepted March 29 = 28 days time to hire
Why it matters: Extended time-to-hire creates two problems: operational strain on existing teams and candidate drop-off to faster-moving competitors. In a tight labour market, a 60-day hiring process is a competitive disadvantage.
| Performance Level | Time to Hire |
|---|---|
| Poor | Above 50 days |
| Average | 30 – 50 days |
| Excellent | Below 30 days |
Revenue Per Employee
What it measures: The average revenue generated per full-time equivalent employee.
Formula:
Revenue Per Employee = Total Revenue ÷ Total Full-Time Equivalents
Worked example: £3.2M annual revenue ÷ 28 FTEs = £114,285 revenue per employee
Why it matters: This metric links people investment directly to commercial output. It is particularly useful for tracking the productivity impact of hiring cycles — if revenue per employee drops sharply after a hiring push, your onboarding and ramp time is costing you.
| Performance Level | Revenue Per Employee (Service SME) |
|---|---|
| Poor | Below £75,000 |
| Average | £75,000 – £150,000 |
| Excellent | Above £150,000 |
See all people metrics in the HR KPI library.
Operations KPI Examples
Operations KPIs measure the efficiency of the machinery of your business — how fast you deliver, how much waste you generate, and how reliably your systems perform.
On-Time Delivery Rate
What it measures: The percentage of orders or deliverables completed by the agreed deadline.
Formula:
On-Time Delivery Rate = (On-Time Deliveries ÷ Total Deliveries) × 100
Worked example: 187 on-time deliveries out of 200 total = 93.5% on-time delivery rate
Why it matters: In product businesses, on-time delivery directly affects customer retention and repeat purchase rates. In service businesses, it is a proxy for project management maturity and capacity planning accuracy.
| Performance Level | On-Time Delivery Rate |
|---|---|
| Poor | Below 85% |
| Average | 85% – 95% |
| Excellent | Above 95% |
Capacity Utilisation Rate
What it measures: The percentage of available operational capacity that is actively being used.
Formula:
Capacity Utilisation = (Actual Output ÷ Maximum Possible Output) × 100
Worked example: A production line capable of 1,000 units/day running at 780 units = 78% utilisation
Why it matters: Under-utilisation means you are paying for capacity you are not monetising. Over-utilisation — consistently above 90% — signals that quality and delivery reliability are about to deteriorate as the system comes under strain.
| Performance Level | Capacity Utilisation |
|---|---|
| Poor | Below 65% or above 95% |
| Average | 65% – 80% |
| Excellent | 80% – 90% |
Defect Rate
What it measures: The percentage of outputs (products, deliverables, or processes) that fail to meet the required quality standard.
Formula:
Defect Rate = (Number of Defective Units ÷ Total Units Produced) × 100
Worked example: 14 defective units from a production run of 2,000 = 0.7% defect rate
Why it matters: Defects cost money twice — once to produce the defective output and again to rectify, replace, or compensate for it. A 2% defect rate sounds manageable until you calculate the rework cost across annual volume.
| Performance Level | Defect Rate |
|---|---|
| Poor | Above 3% |
| Average | 1% – 3% |
| Excellent | Below 1% |
For the complete operations metrics reference, see the Operations KPI library.
Marketing KPI Examples
Marketing KPIs should connect spend to pipeline, not just to reach. If your marketing reporting is dominated by impressions and follower counts, you are measuring activity, not results.
Cost Per Lead (CPL)
What it measures: The average cost of generating a single marketing-qualified lead.
Formula:
CPL = Total Marketing Spend ÷ Total Leads Generated
Worked example: £8,500 spent on campaigns in March → 340 leads generated = £25 CPL
Why it matters: CPL tells you how efficiently your marketing budget is filling the top of the funnel. It must always be read alongside lead quality metrics — a £10 CPL that produces leads with a 2% sales conversion rate is worse than a £40 CPL with a 25% conversion rate.
| Performance Level | CPL (B2B, industry estimate) |
|---|---|
| Poor | Above £80 |
| Average | £30 – £80 |
| Excellent | Below £30 |
Marketing Return on Investment (MROI)
What it measures: The revenue return generated for every pound invested in marketing.
Formula:
MROI = ((Revenue Attributed to Marketing − Marketing Cost) ÷ Marketing Cost) × 100
Worked example: £120,000 attributed revenue, £22,000 marketing spend = (£120,000 − £22,000) ÷ £22,000 × 100 = 445% MROI
Why it matters: MROI forces attribution discipline. If you cannot confidently attribute revenue to marketing activity, your MROI calculation is meaningless — and so is your budget conversation with the board.
| Performance Level | MROI |
|---|---|
| Poor | Below 100% |
| Average | 100% – 300% |
| Excellent | Above 300% |
Lead-to-Customer Conversion Rate
What it measures: The percentage of marketing-generated leads that ultimately become paying customers.
Formula:
Lead-to-Customer Rate = (New Customers ÷ Total Leads) × 100
Worked example: 22 new customers from 440 marketing leads = 5% lead-to-customer rate
Why it matters: This metric bridges marketing and sales performance. A low rate can indicate poor lead quality (a marketing problem), poor nurturing (a process problem), or a weak sales handoff (a systems problem). Diagnosing which one requires looking at conversion rates at each stage of the funnel.
| Performance Level | Lead-to-Customer Rate (B2B) |
|---|---|
| Poor | Below 2% |
| Average | 2% – 5% |
| Excellent | Above 5% |
Explore the full range of marketing metrics in the Marketing KPI library.
Customer Service KPI Examples
Customer service KPIs measure the quality of what happens after the sale. In a business where retention drives revenue, these numbers are as commercially important as any sales metric.
Net Promoter Score (NPS)
What it measures: The likelihood that your customers will recommend your business to others, expressed as a score from -100 to +100.
Formula:
NPS = % Promoters − % Detractors (Promoters = score 9–10; Detractors = score 0–6)
Worked example: 58% promoters, 14% detractors = NPS of +44
Why it matters: NPS is a leading indicator of churn and word-of-mouth growth. A business with an NPS above +50 is generating organic referral growth. A business below +20 is at active risk of reputation damage.
| Performance Level | NPS Score |
|---|---|
| Poor | Below 0 |
| Average | 0 – 30 |
| Excellent | Above 50 |
First Contact Resolution Rate (FCR)
What it measures: The percentage of customer issues resolved in a single interaction, without requiring follow-up.
Formula:
FCR = (Issues Resolved on First Contact ÷ Total Issues) × 100
Worked example: 312 issues resolved on first contact out of 380 total = 82.1% FCR
Why it matters: FCR is the single strongest predictor of customer satisfaction in service operations. Each unresolved first contact generates a follow-up interaction — adding cost to your team and frustration to your customer.
| Performance Level | FCR Rate |
|---|---|
| Poor | Below 70% |
| Average | 70% – 80% |
| Excellent | Above 80% |
Average Resolution Time
What it measures: The average time taken to fully resolve a customer issue from first contact to closure.
Formula:
Average Resolution Time = Total Resolution Time Across All Cases ÷ Number of Cases
Worked example: 1,140 total hours across 380 cases = 3 hours average resolution time
Why it matters: Resolution time affects customer satisfaction directly, but it also affects your operational cost per ticket. Reducing average resolution time by 20 minutes per ticket across 5,000 annual cases is roughly 1,667 hours of capacity recovered.
| Performance Level | Average Resolution Time |
|---|---|
| Poor | Above 24 hours |
| Average | 4 – 24 hours |
| Excellent | Under 4 hours |
See the full reference in the Customer Service KPI library.
How to Choose the Right KPIs for Your Business
The examples above give you a starting point. Choosing which ones to track — and how many — requires a different kind of thinking.
Here is a practical rule: track no more than 3–5 KPIs per department at any one time. More than that and you are not managing performance — you are managing a spreadsheet.
The right KPIs for your business depend on three variables:
- Your current growth stage. An early-stage business needs different leading indicators than a scaling one.
- Your strategic priority. If retention is the priority this quarter, customer service and churn metrics should carry more weight than acquisition costs.
- Your ability to act on the data. A KPI you cannot influence is not a KPI — it is a weather report.
For a structured approach to selecting and prioritising your metrics, read how to choose the right KPIs.
From Examples to a Working KPI System
Knowing what to measure is the first step. The harder work — and the more valuable work — is building a system where KPIs are owned, reviewed on a consistent cadence, and connected to decisions.
Most businesses stall at the list stage. They identify good metrics, build an initial report, and then find that the data is not being acted on three months later. That is not a metrics problem. It is a framework problem.
If you are ready to move from a list of KPIs to a system that actually drives performance across your organisation, start with how to build a KPI framework. That guide covers how to assign ownership, set targets, structure your review cadence, and align department-level KPIs with your executive dashboard.
Frequently Asked Questions
What is the difference between a KPI and a metric? All KPIs are metrics, but not all metrics are KPIs. A metric is any quantifiable measurement. A KPI is a metric that has been specifically selected because it directly measures progress toward a strategic objective. Tracking website visits is a metric. Tracking the percentage of those visits that convert to qualified leads is a KPI.
How many KPIs should a business track per department? Between 3 and 5 per department is the practical ceiling for most businesses. Fewer than 3 and you risk blind spots; more than 5 and management attention becomes fragmented. At the executive level, a dashboard of 8–12 cross-functional KPIs is typically sufficient to run a business.
How often should KPI examples be reviewed and updated? Your KPI set should be reviewed at least quarterly against your current strategic priorities. KPIs that were right for your business 18 months ago may no longer reflect your current growth model. An annual full audit — where you assess whether each metric is still tied to an active objective — is good governance practice.
Can the same KPI apply to multiple departments? Yes, and in high-performing businesses it often does. Revenue per employee, for example, is relevant to both HR and finance. Customer satisfaction scores are relevant to both customer service and sales. When the same KPI appears in multiple department reviews, it creates productive cross-functional conversations.
What is the best way to present KPI examples to leadership? Group metrics by department, show current performance against a clear target, and highlight directional trend — not just a point-in-time number. A metric that is 5% below target but improving week-over-week tells a very different story than one that is 5% below target and declining. For a structured approach to executive reporting, see the executive KPI dashboard guide.