A lot of shop owners track sales, but sales totals alone don’t tell you why you’re ahead or behind. Was it labor rate, efficiency, car count, or something else? Without that context, you can’t make changes until after the fact.
That’s where KPIs come in. Tracking metrics like ELR, efficiency, paid hours, ARPO, and RO count not only describes how you performed last week—they become the building blocks for forecasting. Once you set realistic goals for each KPI, you can use them to project what your revenue should be for the week ahead.
Here’s the flow:
Set KPI Goals → Benchmarks for ELR, efficiency by tech level, ARPO, and RO count give your team clear, fair targets. (I shared ranges and examples here:
👉 Setting KPI Goals for Growth)
Tie KPIs to Revenue → Plug those targets into a simple model to calculate weekly labor, parts, and total revenue. That becomes your “should-be” number, which you can compare against actual deposits. (Full breakdown + example table here:
👉 The Team 33 Revenue Model)
The value is that when you fall short, you don’t just see a revenue gap—you see whether it came from lower efficiency, fewer hours, or weak inspections. That makes it actionable instead of just another sales report.
Curious—how many of you are already using KPIs to project revenue, versus just looking at daily/weekly sales totals?