You founded a company because you're passionate about bringing a certain product or service to the market. Now, you're also running the sales motion and are responsible for results.
To drive those results, you need visibility into your sales performance, and that means tracking the right key performance indicators (KPIs). Your CRM likely defaults to tracking activity metrics, not quantifiable performance metrics. Activity alone won't tell you what's working or where deals are getting stuck.
In this guide, we'll cover the sales KPIs that matter most for tracking performance and how to use them to drive results.
What is a sales KPI?
The core definition of a KPI is a measurable data point you track to monitor progress toward a goal. For example, win rate and stage conversion rates are KPIs because they help you connect daily activity to performance and eventual outcomes. Sales KPIs generally fall into two categories: leading and lagging.
A leading indicator is an early signal that predicts future outcomes. Pipeline coverage, meetings booked, stage conversion rate, and lead response time are leading indicators because they tell you whether enough qualified leads are moving through the funnel to support your total revenue target. If leading indicator numbers dip, this is a sign that you won't reach your future target, and it's time to intervene with new sales strategies, like increasing outbound messaging or adjusting your ICP targeting.
A lagging indicator, like total revenue generated, deals closed, or sales quota attainment, measures outcomes after they happen and enables you to evaluate performance, confirm whether your goal was achieved, and whether your predictors were accurate. Because lagging indicators surface after outcomes, they won't help you shift your tactics en route to a goal, as a leading indicator will. Instead, lagging indicators will help you recalibrate for future sales cycles, pointing to potential areas of improvement. For example, if your team hit 120% of pipeline coverage all quarter but closed sales came in at 80% of the sales target, the lagging indicator might be telling you that your win rate was lower than you thought or that your average deal size was overestimated.
Both indicators are equally important. If you focus only on lagging indicators, you discover the holes in your sales process too late. If you focus only on leading indicators, you have signals but no confirmation that they'll translate to sales revenue.
How to choose the right KPIs for sales in 4 steps
The key performance indicators you track should trace back to clear, actionable goals. Here's how to determine which to monitor.
Step 1: Start with the business goal
Before you select a KPI, define your company goals. Then, you can work backwards to determine which sales metrics will allow you to track progress towards this objective. The goal will also enable you to define the steps you must take to reach it.
For example, if your goal is to hit a certain ARR target, you'll need KPIs that assess how qualified your pipeline is. KPIs like pipeline coverage, stage conversion rate, and average deal size will show you whether your qualified pipeline is building fast enough for you to achieve your ARR target on time.
Without first determining a goal, metric-tracking is simply data collection.
Step 2: Pair a leading KPI with a lagging KPI
After defining your goals, select one leading KPI and one lagging KPI for each. This pairing will enable you to determine whether you're on track (leading) and whether you've reached your goal (lagging). When a leading KPI drops off, you can intervene and course-correct before it's too late, and the lagging KPI serves as an indicator of the success of the steps you took toward the goal. If the lagging KPI falls short, you know that you misestimated the success of the win rate, deal size, or pipeline health, and you find and fix the root cause of the error before the next sales cycle.
An example pairing would be a leading KPI of pipeline coverage and a lagging KPI of close revenue vs. quota for the goal of hitting a revenue target.
Step 3: Define KPIs precisely
KPIs must be defined in order to become measurable for your sales team; otherwise, they are just labels. Defining KPIs allows reps to align on how they will measure them, instead of taking distinct approaches that lead to discrepancies in the numbers. For each KPI you track, determine the:
- Formula: How to calculate the value, what variables enter into the equation, and whether the output is a percentage, ratio, or absolute number
- Owner: The team member responsible for tracking and saving data on KPI progress
- Source: Where the team will pull reliable data from for their tracking and calculations — typically your CRM (Clarify, Salesforce, or another platform) plus any dashboards that aggregate the data
- Target: Your definition of "good," generally an improvement on your organization's existing baseline or aligned with industry benchmarks where available
Step 4: Review and refine regularly
The KPIs you track today may not be relevant to future sales processes, so as your workflows evolve, assess whether you're tracking the right KPIs for current goals. KPI review is paramount at an early-stage company that is still developing and defining sales workflows.
Set a regular review cadence for each KPI. Pipeline KPIs can be reviewed weekly, revenue KPIs monthly, and broader performance metrics quarterly. The essential question is whether leading KPIs correctly predict lagging KPIs. If not, you'll have to investigate where the problem lies: in the data, the target, or the KPI itself.
The most important sales KPIs at each stage of the pipeline
Deals can fall through at any stage, so it's important to implement key performance indicators that measure success and flag performance issues across the sales pipeline (top, middle, and bottom of funnel). Here's what to track at each stage.
Top of the funnel
Top-of-the-funnel (TOFU) KPIs tell you whether enough qualified leads and prospects are entering the pipeline.
For many teams, the most important KPIs at this stage are lead response time, lead-to-meeting conversion rate, and lead volume.
Lead response time is a crucial top-of-funnel KPI because a quick response to customer inquiries positively correlates with lead conversion. If sales reps wait too long to connect, the conversation probability drops off significantly.
Lead-to-meeting conversion rate helps you assess lead quality. A low rate can mean either that sales reps simply aren't getting responses or that the conversations are dying out. If reps aren't getting responses, the audience targeting may be off. If conversations don't advance, the messaging likely isn't landing (and won't land, no matter how consistently they pursue the lead).
Lead volume measures the number of new leads generated in a period, signaling whether the top of the funnel is wide enough to capture the quantity of leads you need to reach your revenue target. If the generated number of leads is low, you simply don't have enough interested customers in the pipeline to hit your goal, even if every one of those leads were to convert. To increase lead volume, explore which sources drive the most interest and focus your efforts there.
Middle of the funnel
Middle-of-the-funnel (MOFU) KPIs show sales managers where deals slow down.
Stage conversion rate, average time in stage, and sales velocity are the most important sales metrics in the middle of the funnel. Stage conversion measures how many deals move from one stage to the next, helping you pinpoint where they bottleneck.
Average time in stage demonstrates how long deals are "parked" before they move forward or die. A deal that stalls for longer than your baseline average time is worth flagging, as something is likely preventing the deal from advancing, and a sales rep should intervene.
Sales velocity combines speed and value into a single measure of pipeline efficiency, useful for tracking how effectively your pipeline is generating revenue over time.
Bottom of the funnel
Bottom-of-the-funnel (BOFU) KPIs help you understand how efficiently deals are closing and where revenue may be getting lost.
Some of the most important BOFU KPI examples are win rate, average deal size, and sales cycle length.
Win rate shows the percentage of opportunities that successfully become closed deals, and tracking the metric by rep or lead source can reveal useful insights. For example, if a rep routinely closes inbound deals but struggles to perform as well with outbound ones, sales leaders can coach this person on outbound selling techniques.
Average deal size helps managers see whether sales reps are focusing on the right customers or discounting too heavily to close deals faster. If deal volume is high but size is small, reps may be targeting easy, small deals to hit a sales quota.
Sales cycle length tracks the number of days from when a deal enters the pipeline to close (regardless of whether the deal was won or lost). When the sales cycle length stretches past expected deadlines, the leads in your pipeline aren't qualified, but are being moved through the pipeline nonetheless.
How to use KPIs to coach your team
KPIs can be used as indicators of process success and rep performance. Sales managers can turn KPI data into valuable insights that both instruct reps on process improvements and motivate sales teams to sharpen their own skills.
Turn KPIs into effective coaching material by researching the root cause of a subpar result before talking with the rep about "where they went wrong." Without a root cause analysis, you're assuming how their performance played into the result instead of pinpointing an instructive moment in the process breakdown. Ideally, you coach the rep on an identified gap instead of generally teaching them how to reach a desired outcome. Chances are, they are already performing well across many steps and only need coaching on a specific challenge.
Track sales KPIs without the admin work with Clarify
KPI tracking relies on quality data, and in turn, careful data logging. But on busy, founder-led teams, data logging often takes a backseat to more pressing work, like sales calls. CRMs end up full of stale information or data gaps, and you can't reliably track sales performance or use KPIs as measures of performance to make sales projections.
Clarify, an AI-powered, autonomous CRM, handles the admin work so you don't have to. The platform captures context from emails, calls, and meeting transcripts, automatically updating your pipeline and records. Your team is always working from the freshest information when tracking KPIs and using them to project outcomes.
Try Clarify for free and see firsthand how automated capture leads to cleaner KPI data and less busywork.