Retailers have always known that peak hours matter. The question is not whether traffic spikes, it is whether you are ready when it does. The StoreForce Peak Coverage Score answers that question with data. It measures how well your selling labor lines up with your busiest hours, not in theory, in practice.

The result is simple and powerful. Coverage is not just an operations metric, it is a sales engine. When peak hours are properly staffed, stores convert more, sell more, and serve better. When they are not, traffic walks out unpaid.

The goal of 90 percent peak coverage is not about chasing perfection, it is about focus. It means putting leadership on the floor when it counts, scheduling with intent, and improving step by step. For executives, this should not live only at store level. Peak coverage belongs in leadership meetings, it has a measurable impact on comp growth and long term performance.

What peak coverage actually means 

Peak segments are the ten two hour blocks that make up a store’s busiest 20 hours each week, that is where the opportunity lives. The Peak Coverage Score measures how well your selling labor covers those segments.

This changes the conversation. Instead of asking, “Did we stay within budget?” you ask, “Did we protect our busiest hours?” Scheduling shifts from being a cost control exercise to being a revenue decision.

Why leadership during peak hours changes everything 

Data shows one clear pattern: When a store manager is present on the sales floor during peak hours, performance rises across every key metric: 

• Higher visit value 

• Higher average basket 

• Higher conversion, outperforming baseline by +88 percent, +81 percent, and +75 percent 

When no sales leader is present, the opposite happens: 

• Lower visit value 

• Lower average basket 

• Lower conversion, underperforming baseline by -56 percent, -87 percent, and -87 percent 

This is not subtle. Leadership coverage during peak hours is non-negotiable. Presence sets pace, drives selling behaviors, and keeps teams focused when traffic is highest. 

Where peak coverage breaks down 

Even retailers who identify peak hours often miss the mark in execution. The most common causes are predictable: 

• Scheduling based on instinct instead of traffic data 

• Poor allocation of labor across the week 

• Callouts and limited employee availability 

• Too much non selling work scheduled during selling windows 

These issues do not just reduce efficiency. They hit the exact hours that matter most. 

The problem with annual peak coverage averages 

Many retailers look at peak coverage annually and split stores into two groups: above or below 90 percent. It is easy. It is also flawed. Weeks below 90 percent get averaged into stores labeled “above 90 percent,” which softens the truth. Smaller retailers also struggle with limited data points, which weakens confidence in the findings. For large chains, this method gives directional insight. For anyone serious about precision, it falls short. 

Why weekly analysis changes the game 

Looking at peak coverage weekly transforms the data set. 

A fleet of 100 stores produces 5,200 weekly data points in a year. Across 21 retailers, one fiscal year produced 157,820 weekly data points. Using comp stores only ensures clean comparisons. This level of detail reveals patterns that annual rollups hide. You see when coverage slips. You see when it improves. And you see how that movement connects to sales. 

The direct link to comp sales growth 

From September 2024 to August 2025, the relationship between peak coverage and year over year sales was clear: 

• 60 percent of weeks achieved coverage above 80 percent 

• Moving from lower coverage bands to higher ones delivered 2 percent to 6.5 percent comp sales growth variance 

• Even improving from 70 percent to 80 percent produced measurable gains 

Stores that made those incremental improvements delivered +1.8 percent comp growth outside of holiday periods. Quarterly analysis also showed that coverage shifts over time. Performance moves with it. That is why monitoring must be continuous. Annual averages are not enough. 

Why 90 percent is hard, but worth it 

Reaching 90 percent peak coverage every week is ambitious. Several realities make it difficult. Low volume stores often operate with minimum staffing levels, for example: 

• Minimum selling coverage of 1 

• 1 opener 

• 2 closers 

Half of stores run with PPOH below 2.2 outside of holiday. That leaves little margin for error. Balancing baseline coverage with peak alignment requires trade offs, especially in smaller fleets. Still, stores that sustain 90 percent or higher capture an additional +1.5 percent in comp sales compared to those below that threshold. The upside is real. 

The roadblocks executives should focus on 

If you want to close the gap, focus here: 

Leadership at peak: 
Ensure managers are scheduled and visible during the busiest windows. 

Data over instinct: 
Use traffic and coverage metrics to guide scheduling decisions. 

Employee availability: 
Plan for callouts and build flexibility into peak segments. 

System recommended coverage: 
Adopt data driven allocation guidance rather than manual guesswork. 

Selling versus non selling balance: 
Protect peak hours from task heavy scheduling. 

How to move toward 90 percent without disruption 

Most retailers cannot jump from 70 percent to 90 percent overnight. That is fine, the smarter move is incremental progress. 

• Move stores from 70 percent to 80 percent first 

• Lock in leadership presence during peak 

• Audit non selling labor during peak windows 

• Review coverage quarter by quarter and adjust early 

Each step builds momentum. Each step adds measurable comp growth. Over time, the fleet moves closer to 90 percent while improving performance along the way.