Last spring, an operations director at a distribution center in Conyers called us with a problem. Her headcount was full. Her fill rate looked fine by every report she received. Her per-shift labor cost had climbed 18% over six months. She wanted to know why.
Twenty minutes into the conversation, the answer was clear: the agency she worked with tracked placements and time-to-fill. What nobody was watching was 90-day retention, overtime ratio, or quality conversion rate. Workers were filling the slots. They just weren't staying. Every month, she was paying her agency to replace the same 40 positions she'd filled three months before.
The most useful KPI examples for staffing operators aren't the ones that show volume. They're the ones that show whether the volume is working.
Eight KPI examples every staffing operator should track fall into three groups: delivery KPIs (fill rate and time-to-fill), quality KPIs (NCNS rate, 90-day retention, and quality conversion rate), and cost KPIs (cost per placement, overtime ratio, and temp-to-perm unit cost). For Georgia light industrial operations, the practical floors are fill rate above 85%, NCNS below 3%, 90-day retention above 80%, and time-to-fill under 48 hours for urgent roles.
Why Most Operators Track the Wrong KPIs
There are two reasons operators end up measuring the wrong things.
The first is default reporting. Most staffing agencies report the metrics that are easy to pull: total placements, gross hours billed, open orders closed. These numbers tell you how busy the relationship was. They say nothing about whether the work was effective.
The second is dashboard overload. Some platforms give you 40 metrics and call it intelligence. An ops director running three shifts doesn't have time to analyze 40 numbers every week. They need eight, maybe ten, and they need to know which five actually move outcomes.
Georgia's labor market makes this more urgent right now. The state's unemployment rate held at 3.5% in April 2026, with the labor force hitting an all-time high of 5.46 million, according to the Georgia Department of Labor. Tight markets mean every bad placement is harder to backfill. Getting more out of your existing headcount, not just filling slots faster, is the real job.
We spent two years using cost-per-placement as our primary client-facing metric at FNSG before realizing it pointed the wrong direction. Clients liked watching it drop. The problem was that a lower cost-per-placement sometimes meant we'd moved faster on screening than we should have, which showed up two months later in higher NCNS rates and shorter average tenure. We dropped it as a headline metric and replaced it with cost-per-retained-placement, which penalizes fast fills that don't stick.
Delivery KPIs: Fill Rate and Time-to-Fill
These two measure whether the agency can do the core job.
Fill rate is the percentage of open orders filled within your agreed service window. The industry midrange for commercial staffing runs 60–85%, with high-performing agencies holding above 90%. Below 80% on an active account for two or more consecutive months is a signal, not a blip. Clients don't say "your fill rate dropped." They say "we had two short Fridays in a row and we're already talking to other vendors."
At FNSG, we track fill rate at the role level, not just the account level. A 91% overall fill rate can hide a 58% fill rate on forklift operators, which is the role a distribution center actually worries about. Roll-up numbers protect agencies. Role-level numbers protect clients.
Time-to-fill measures how quickly an open order converts to a confirmed start. For commercial light industrial roles, the industry median is around 4–5 days. For more specialized manufacturing positions, 18–35 days on average is typical. The gap that matters most: 61% of manufacturing, logistics, and construction companies expect roles filled within 48 hours for urgent orders, according to 2025 benchmarking data from Staffing Hub. Thirteen percent expect same-day.
Split your time-to-fill benchmark by urgency tier: standard orders (planned 3–5 days out), priority orders (needed within 24–48 hours), and emergency coverage (sub-4-hour response needed). Each tier has a different acceptable target. Lumping all three into a single average is how agencies hide emergency-response failures inside a healthy-looking number.
Quality KPIs: NCNS, Retention, and Conversion
Delivery metrics tell you if roles get filled. Quality metrics tell you if the fills were worth anything.
NCNS rate is the percentage of scheduled shifts where a confirmed worker doesn't show and doesn't call. Industry average runs 8–15%. High-performing agencies hold below 3%. That spread matters most on Monday mornings in Georgia's warehouse and logistics operations, where a single uncovered shift on a production line can delay an entire day's shipments. We cover the root causes and specific fixes in our no-call no-show reduction guide.
90-day retention measures the share of placed workers still on assignment at the 90-day mark. The industry average sits at 50–60%, based on light industrial benchmarking. FNSG holds 92% across our active Georgia accounts. The gap between 55% and 92% comes from screening process and onboarding structure, not from luck. Every separation before 90 days costs $950 to $1,875 in direct replacement costs, per the cost-of-turnover analysis we've published. At 55% retention, you're effectively paying to fill each position twice.
Quality conversion rate is the share of temporary placements that convert to permanent hire. A healthy range for light industrial is 15–25%. Low conversion below 10% can mean two things: the employer has no permanent headcount budget, or temp workers aren't meeting performance standards. Conversion above 30% sometimes signals the agency is using temp-to-perm as a workaround for positions that should be posted as direct hires from the start. Knowing your benchmark and the reason behind it is more useful than any single reading.
In 2025, 31% of staffing agencies ranked quality of hire as their top performance metric, ahead of cost-per-hire at 19% and time-to-fill at 18%, according to a 2025 industry survey. That shift reflects what we hear from clients: they want workers who stay, not workers who show up once.
Cost KPIs: The Numbers Most Operators Skip
Most operators see the bill rate. Fewer track what the bill rate is actually buying.
Cost per retained placement is the more honest version of cost-per-placement. Average cost-per-hire for non-executive roles runs $5,475, per SHRM 2025 data. In commercial staffing, per-placement costs vary by role complexity and market tightness. The number alone tells you little. Cost per retained placement compared to 90-day retention rate tells you whether that spend is delivering durable headcount or a revolving door. It's a simple division: total placement spend divided by workers who made it past 90 days.
Overtime ratio measures hours paid at overtime rates as a share of total hours worked. Labor accounts for 45–57% of warehouse operating expenses, per ASCM benchmarking. When NCNS and fill failures push supervisors to extend current workers, overtime costs compound fast. An overtime ratio above 15% on a sustained basis usually means one of three things: chronically understaffed approved headcount, a fill rate problem, or a production model built around overtime as a structural assumption rather than an exception.
Temp-to-perm conversion cost calculates what you actually pay when a temp worker converts to permanent hire. Most staffing agreements include a conversion fee calculated as a percentage of annual salary, sometimes offset by hours worked on assignment. Know your contract terms. Some operators run more temp-to-perm conversions than their finance team realizes, and the fees add up across multiple sites and roles.
The Eight-KPI Shortlist for Georgia Operators
Here are the eight KPI examples, with formula, benchmark target, and the number that should trigger a conversation:
| KPI | Formula | Target | Flag When | |-----|---------|--------|-----------| | Fill Rate | Orders filled ÷ Orders opened × 100 | ≥ 85% | < 80% two or more consecutive weeks | | Time-to-Fill (urgent) | Hours from order to confirmed start | < 48 hrs | > 72 hrs | | NCNS Rate | No-show shifts ÷ Scheduled shifts × 100 | < 3% | > 5% | | 90-Day Retention | Workers at day 90 ÷ Workers placed × 100 | ≥ 80% | < 70% | | Quality Conversion | Perm hires ÷ Temp placements × 100 | 15–25% | < 10% or > 35% | | Cost Per Retained Placement | Total placement spend ÷ Workers past 90 days | Account-specific | Trending up quarter over quarter | | Overtime Ratio | OT hours ÷ Total hours × 100 | < 15% | > 20% | | Offer Acceptance Rate | Offers accepted ÷ Offers extended × 100 | ≥ 85% | < 80% |
If you're starting from zero, don't try to track all eight at once. NCNS rate, 90-day retention, and fill rate give you the most complete picture of whether your staffing partnership is working, with the least data collection overhead to start. Add the cost KPIs once you have a baseline on the quality side.
The question we hear most from Georgia ops managers is "where do we even get this data?" Your staffing agency should be able to pull everything in the first four columns from their own system. If they can't, or won't share it, that's a different kind of answer.
For a deeper look at how these KPIs interact in active Georgia accounts, and which ones predict whether a client relationship holds over time, the staffing KPI retention analysis covers the five metrics that drive renewal decisions across our 27-account Georgia portfolio.
If you manage contingent workforce operations in Georgia and want to benchmark your current program against these targets, Get Started with a workforce review and we'll pull your actuals against industry benchmarks.
