Underperforming Locations

When one store is quietly dragging the rest down, averages hide the truth — until the damage is obvious.

Do You Have "Good" Results… but a Bad Feeling?

Multi-location operators often see stable company-level numbers while one or two locations quietly bleed margin, waste labor, or underperform on pricing and throughput.

The risk isn't just that one store is weaker — it's that leadership makes decisions based on averages and misses where the real problem is.

Why Underperformance Is Hard to Spot

Underperforming locations get masked by:

  • Company-wide averages hiding location-level variation
  • Seasonality, promotions, or one-off events creating false signals
  • Different staffing patterns making comparisons feel "unfair"
  • Inconsistent reporting that makes leaders distrust the numbers

The result: teams react late — and often fix the wrong thing first.

What Keystone Does Differently

We don't just point out which location is underperforming. We identify why — and what the highest-leverage fix is.

Our goal is clarity you can act on: what changed, what's structural, and what to do next.

Our Location Performance Process

1. Location-Level Baseline We compare locations using consistent metrics — not averages — so performance gaps become obvious.
2. Gap Diagnosis We break down the gap into drivers (volume, margin, labor, pricing, mix, timing) to identify root cause.
3. Early Warning Signals We separate "bad month noise" from true trend shifts so leaders don't overreact or ignore risk.
4. Action Prioritization You get a clear shortlist of fixes and what impact to expect — so the team focuses on what actually moves results.

Who This Is For

Good Fit

  • 2+ locations with noticeable performance variation
  • Leadership needs clarity on where to focus
  • You want root cause, not just reporting

Not a Fit

  • Single-location businesses
  • Those wanting generic benchmarking only
  • Companies not willing to act on the findings
Speak with an advisor →
20-minute call • No prep required • We'll confirm fit before any data work begins