Ask ten PE operating partners what KPIs their portfolio companies track and you'll get ten different answers. Some will rattle off 30 metrics. Some will describe a beautiful dashboard that nobody opens. A few will tell you honestly that reporting is still "a work in progress."
The issue isn't usually a lack of data. It's that nobody ever agreed on which eight numbers actually matter — and built an automated system around those specific eight.
Here's the framework we use and why each one made the list.
The 8 KPIs
1. Revenue (by segment, if applicable)
Sounds obvious. Rarely clean. Knowing total revenue is easy. Knowing it by product line, customer type, or geography — automatically, updated daily — is where most companies fall short. This is the foundation everything else is built on.
2. Gross Margin
Revenue minus cost of goods sold, expressed as a percentage. This is the single most important indicator of whether the core business model is working. It should update automatically every time a new transaction is recorded.
3. EBITDA (Trailing 12 Months)
Your operating performance metric. The number your deal team underwrote. It should be live, not reconstructed at month-end.
4. Customer Concentration
What percentage of revenue comes from your top 1, 3, and 5 customers? This is a risk metric as much as a performance metric. Many middle market companies have dangerous concentration baked in that nobody tracks until a customer churns.
5. Net Revenue Retention (or Churn, for subscription businesses)
Are your existing customers spending more or less than they were last year? This metric tells you whether the business has a retention problem before it shows up in topline revenue.
6. Cash Conversion Cycle
How long between spending cash and receiving cash? Days Sales Outstanding (DSO) + Days Inventory Outstanding (DIO) - Days Payable Outstanding (DPO). This is where operational inefficiency hides.
7. Sales Pipeline Coverage
Current pipeline value vs. revenue target for the next quarter, expressed as a multiple. 3x coverage is a common benchmark. If this number drops without a plan, something is wrong upstream.
8. Labor as a Percent of Revenue
For most middle market businesses, labor is the largest variable cost. Tracking it as a percentage of revenue — automatically — catches efficiency drift before it becomes a margin problem.
How to Automate These (Without New Software)
Every one of these KPIs can be automated by connecting to the systems your company already uses. QuickBooks or NetSuite for financials. Salesforce or HubSpot for pipeline. Your payroll system for labor. Your ERP for inventory.
The approach is straightforward:
- Audit your source systems — confirm where each number currently lives
- Define each metric precisely — agree on the exact calculation before building anything
- Build live data pipelines — direct connections, no manual exports, no copy/paste
- Set a refresh cadence — daily for most metrics, weekly for pipeline
- Deliver to wherever your team already works — a dashboard, a spreadsheet, a Slack report
The whole process, for a company with standard systems, takes about 30 days.
A Note on Metric Definitions
The biggest source of reporting inconsistency in middle market companies isn't bad data. It's undefined metrics.
If five people calculate gross margin five different ways, you'll get five different numbers — all technically correct, none comparable. Before you automate anything, document exactly how each KPI is defined for this specific business. That documentation becomes the source of truth.
Eight clean, automated, consistently defined KPIs are worth more than 40 metrics in a spreadsheet that nobody trusts.