Pizza Today’s 2026 industry survey puts labor at 23–28% of revenue, with average hourly wages up 3.86% year over year. Meanwhile, Slice’s analysis of orders across 15,000 shops found that every single one of the top 25 ordering days of 2025 fell on a Friday. Put those two facts together and you get the quiet problem with how most shops read their labor number: it’s a weekly blend, and your demand isn’t blended. It spikes.
The blended percentage hides the shifts that are actually wrong
A weekly labor percentage is an average, and averages absolve. Say your shop runs a 26% labor week — comfortably inside the 23–28% range Pizza Today reports. That single number can contain a Tuesday 2–5 p.m. window where three people are on the clock folding boxes for eleven tickets, and a Friday 6–8 p.m. window where you’re quoting 55-minute pickups because the make line is two hands short. One daypart is running 40%+ labor, the other is leaving orders — and money — on the table. Averaged together, they look fine.
That’s not a hypothetical failure mode; it’s the arithmetic of averaging. The overstaffed dead hours subsidize the understaffed peak on paper, while in reality you’re paying for both mistakes at once: wasted wages in the afternoon, lost throughput and burned regulars at night. The weekly number can’t see either. Only a daypart view can.
Sales per labor hour is the metric that sees dayparts
The tool for this is sales per labor hour (SPLH): total sales in a window divided by total labor hours paid in that window. Scheduling vendor 7shifts — so, vendor material, discount accordingly — publishes target ranges of $50–$80 for full-service, $80–$120 for fast-casual, and $100–$150+ for quick-service, and recommends setting separate SPLH targets per daypart because “a slow Monday will look different from a busy Saturday.”
Here’s the honest gap: there is no independently published SPLH benchmark specific to pizzerias. The ranges above come from a scheduling-software company, and most pizza shops straddle formats — counter service at lunch, delivery-heavy at night. So don’t chase someone else’s number. Build your own baseline from your own four weeks of data, then compete against it. The vendors agree on the method even if you discount their math: Restaurant365’s labor reporting guidance — also vendor material — calls SPLH “a key indicator of labor productivity” precisely because it “tracks which service times are the most productive, and which need improvement.”
Pull the daypart report before you touch the schedule
Every modern POS can slice sales by hour — the report is usually called sales by daypart, hourly sales, or sales summary by hour. Pull it for the last four weeks. Then, for one day of the week, do this:
Break the day into 2–3 hour blocks. Open-to-lunch, lunch, afternoon, dinner build, peak, close. Your blocks should follow your curve, not the clock.
Put labor hours next to sales for each block. Your timeclock data is in the same POS. Divide sales by hours for each block. That’s your SPLH curve — and the first time most operators see it, one block is triple another.
Move hours, don’t add them. The point isn’t a bigger schedule. It’s shifting the body from the 2 p.m. box-folding shift into the Friday 6 p.m. make line, and giving the dead afternoon to one cross-trained person doing prep that shortens the peak. Scheduling vendors claim real money here — up to 4% off labor costs, per 7shifts’ own reporting on its TouchBistro integration. Take the vendor number with salt; take the direction seriously.
The schedule most shops run is a habit with a spreadsheet. The sales curve doesn’t care what the schedule has always been.
Rebuild one day, run it two weeks, remeasure. One day, not the whole week. You’ll get cleaner data, less staff whiplash, and a result you can defend before you touch Friday.
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The limitation worth naming: SPLH optimizes for the demand you already have, and it will happily tell you to cut the Tuesday afternoon that a future catering account or a school-lunch deal might fill. Scheduling to the curve is defense. It protects margin; it doesn’t grow the curve. Once the schedule matches the sales you have, the next number to watch is whether you can move the curve itself — and that’s a marketing problem, not a labor one.
