Retail & CX metrics glossary
SPLH divides revenue by the hours you pay for. Here is how to use it without hurting the sale.
Sales per labor hour (SPLH) is revenue divided by the total labor hours worked in the same period — the metric where the commercial plan and the staffing plan finally meet in one number. A store selling $180,000 in a month on 1,200 team hours runs at $150 per labor hour; every scheduling decision, every extra shift, every seasonal hire moves that ratio in one direction or the other.
That is exactly what makes SPLH powerful and dangerous at the same time. Read as a productivity gauge across stores, dayparts and seasons, it exposes where payroll and demand are out of sync. Read as a target to be maximized at any cost, it quietly teaches managers to understaff their busiest hours — cutting the very hours that produce the sales. This page covers the formula, a working calculator, public benchmark ranges, the twin metric you should always read alongside it, and the diagnosis SPLH can never make on its own.
SPLH — Sales per labor hour
SPLH = revenue ÷ total labor hours
revenue = net sales of the store (or shift, or chain) in the period · total labor hours = all paid team hours in the same period and scope — selling and support roles included
SPLH calculator
A fashion store sells $180,000 in a month with 1,200 total labor hours: SPLH = 180,000 ÷ 1,200 = $150 per labor hour. Split by daypart, the picture sharpens: weekday mornings run at $85 per hour while Saturday afternoons run at $310 — a signal that hours could migrate from the empty mornings to the crowded peak, where each additional hour still has plenty of demand to serve.
What is a good SPLH?
Typical ranges vary widely by segment, ticket size and service model. As a rough map from public US market references, in US$ per labor hour:
| Fashion & apparel | $150–350 |
|---|---|
| Consumer electronics | $400–800 |
| Grocery & supermarkets | $250–450 |
| Convenience stores | $150–250 |
Ranges compiled from public US market references — labor costs and ticket sizes differ elsewhere, so outside the US treat them as a relative ruler: compare stores, dayparts and seasons within your own chain rather than chasing the absolute number.
How to use SPLH without hurting yourself
The classic mistake is to schedule labor from past sales: last month's Tuesday sold little, so next Tuesday gets fewer hours. But sales are partly a consequence of staffing — cut the hours and you also cut the service capacity that produces sales, and next month's Tuesday 'proves' the cut was right. The metric becomes a self-fulfilling prophecy that shrinks stores one schedule at a time.
The healthier discipline is to schedule from hourly foot traffic: match team hours to when shoppers are actually in the store, then use SPLH to check the match after the fact. If SPLH collapses in hours with strong traffic, the store has a service or conversion problem in the peak; if it collapses in hours with no traffic, the schedule is oversized there and hours can migrate to the peak. Same low number, opposite actions — and only the traffic curve tells them apart.
Beware of averages, too. A monthly SPLH blends dead mornings with packed Saturdays into one flattering or damning number. The useful resolution is store × daypart × season: that is where scheduling decisions actually live.
SPLH and payroll cost: the twin ruler
SPLH has a twin: labor cost as a percentage of sales, i.e. payroll divided by revenue. The two move together but answer different questions — SPLH asks how much revenue each hour supports; labor percentage asks whether the total payroll fits inside the P&L. A store can post a healthy SPLH and still blow its labor budget if wage rates rose, or hit its labor percentage while starving the floor of hours.
Read them as a pair. Rising SPLH with a stable labor percentage usually means genuine productivity gains; rising SPLH with falling service levels and falling conversion usually means the schedule was cut past the bone. The pair keeps finance and operations honest with each other — one metric guards the budget, the other guards the store's capacity to sell.
The blind spot: a labor hour only becomes a sale when it becomes a conversation
SPLH counts hours paid and revenue earned — nothing in between. But the mechanism that converts one into the other in assisted retail is the sales conversation: the greeting, the needs discovery, the recommendation, the close. An hour on the floor in which no shopper is approached produces exactly as much revenue as an hour that was never scheduled.
That is why a low SPLH has two opposite diagnoses. It can mean too many hours for the traffic — a scheduling problem, solved by resizing shifts. Or it can mean the team is present but the conversations are not happening — a capability problem, solved by training the approach and the sales standard. The hours report cannot distinguish them, and the fixes point in opposite directions: one cuts hours, the other invests in the people working them.
Getting this diagnosis wrong is expensive in both directions. Cutting hours from a store whose real problem was the approach locks in low conversion with a smaller team; training a store whose real problem was overstaffing burns money on the wrong lever. Before acting on SPLH, you need to see the layer between the hour and the sale — at the level of the store and the shift, as an operational standard, not as scrutiny of any individual.
A paid hour becomes a sale when it becomes a conversation.
Cognifyze measures the layer SPLH skips: the in-person sales interaction itself — with consent, without identifying any individual shopper — aggregated by store and shift. It shows whether floor hours are turning into approaches, discoveries and offers, so leadership can tell a scheduling problem from a capability problem and invest in the right lever: resize the schedule, or equip the team. The goal is dimensioning and enablement — making each scheduled hour able to sell — not watching people.
In measured deployments, making the interaction visible moved same-store conversion from 51.5% to 79.5% (+28pp, p<0.001), with 383% ROI and payback in 1.4 months.
Find out which diagnosis your SPLH is hiding — book an executive diagnostic.
Related metrics and guides
Sales per labor hour — frequently asked questions
What is a good sales per labor hour?
In US references, fashion typically runs at $150–350 per labor hour, electronics at $400–800, grocery at $250–450 and convenience at $150–250. Ticket size drives most of the difference, so the absolute number matters less than the comparison across your own stores, dayparts and seasons.
How is SPLH calculated?
Divide revenue by the total labor hours worked in the same period and scope. Include all paid team hours — selling and support roles — and keep the definition constant across stores, or the comparison breaks. The most actionable cut is by store and by daypart, not the monthly average.
What is the difference between SPLH and sales per square foot?
Both are productivity ratios with revenue on top, but they price different resources: sales per square foot measures how hard the real estate works; SPLH measures how much revenue each team hour supports. Space is fixed in the short run, hours are scheduled weekly — so SPLH is the one that drives staffing decisions.
Should I build the staff schedule from SPLH targets?
No — schedule from hourly foot traffic and use SPLH to audit the result. Scheduling from past sales or from an SPLH target tends to cut hours from peak periods, which cuts the service capacity that produces sales and makes the cut look justified next month. Traffic sizes the schedule; SPLH checks it.
Does a low SPLH mean the store has too many staff?
Not necessarily. Low SPLH can mean hours exceed traffic — or that the team is present but shoppers are not being approached and served. The hours report cannot tell the two apart, and the remedies are opposite: resize the schedule versus train the approach. Check the traffic curve and the conversion of the same hours before cutting anything.