---
title: Store Ops Use Case
description: Understand and act on store performance with context
---

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# Store Ops Use Case

## Understand and act on store performance with context

### Store Ops Use Case

**Understand and act on store performance with context**

### Overview

The **Store Ops Walkthrough** helps operations teams identify which stores need attention — and why. It guides you through using **Almanac’s** [Store Performance Dashboard](https://help.passby.com/store-performance?hsLang=en)**,** [**Markets Section**](https://help.passby.com/markets?hsLang=en), and [**Smart Benchmarks**](https://help.passby.com/benchmarks?hsLang=en) to interpret performance with confidence.

**Goal:** Empower Store Ops teams to separate controllable execution issues from market-driven effects.

---

### Step 1: Start with the Store Operations Dashboard

The **Store Operations Dashboard** is your home base for assessing store health. It shows each store’s **visit performance**, **market-adjusted demand**, and **comparison to nearby competitors**.

**How to explore it:**

1. Open the **Store Operations Dashboard** from the main menu.
2. Select a store or group of stores.
3. Review visit trends alongside local competitor activity.

![create benchmark-1](https://help.passby.com/hs-fs/hubfs/create%20benchmark-1.gif?width=670&height=355&name=create%20benchmark-1.gif)

**Metric Example:**  
If *Store A’s visits dropped 8%* while *competitors in the same market declined only 2%*, that’s a signal to dig into local execution or store-level changes.

### Step 2: Use Multiple Data Points for Confidence

The **Markets Section** combines three independent signals — **parking**, **foot traffic**, and **spend** — to validate whether a performance change is meaningful.

**What to check:**

- **Parking Data:** Gauges site activity and access patterns.
- **Foot Traffic:** Reveals changes in customer interest or mobility.
- **Spend Data:** Confirms if economic activity aligns with traffic trends.

![Screenshot 2026-02-01 at 10.43.03](https://help.passby.com/hs-fs/hubfs/Screenshot%202026-02-01%20at%2010.43.03.png?width=670&height=244&name=Screenshot%202026-02-01%20at%2010.43.03.png)

**Outcome:** More confident, data-backed decisions that reduce overreaction to short-term noise.

### Step 3: Benchmark Fairly with Smart Comparisons

Every store’s environment is unique — which makes fair benchmarking critical. **Smart Benchmarks** automatically select the most relevant local competitors based on proximity, retailer type, and visit behavior.

**How to use Smart Benchmarks:**

1. From the dashboard, select **“Add Benchmark.”**
2. Filter by competitor type and distance.
3. Almanac auto-selects nearby stores that best match your criteria.

**Result:** Performance comparisons that are **defensible**, **credible**, and **trusted** by leadership.

### Step 4: Interpret Patterns Visually (What Good vs. Bad Looks Like)

Use visual cues and patterns across dashboards to quickly distinguish healthy versus concerning store trends.

![:white\_check\_mark:](https://a.slack-edge.com/production-standard-emoji-assets/14.0/apple-medium/2705@2x.png) Market & store both trending up

- **What you’ll see:** Visits, traffic, and spend rising together
- **Likely cause:** Market growth
- **Recommended action:** Monitor, no intervention

![:warning:](https://a.slack-edge.com/production-standard-emoji-assets/14.0/apple-medium/26a0-fe0f@2x.png) Store down, market stable

- **What you’ll see:** Store visits down ~8% while competitor visits remain flat
- **Likely cause:** Store execution issue
- **Recommended action:** Review operations, staffing, or recent store changes

![:warning:](https://a.slack-edge.com/production-standard-emoji-assets/14.0/apple-medium/26a0-fe0f@2x.png) Market down, store stable

- **What you’ll see:** Parking activity and spend declining across the market
- **Likely cause:** Market-driven slowdown
- **Recommended action:** Pause major interventions and continue monitoring

![:rotating\_light:](https://a.slack-edge.com/production-standard-emoji-assets/14.0/apple-medium/1f6a8@2x.png) Divergence across signals

- **What you’ll see:** Traffic declining while spend increases
- **Likely cause:** Signal mismatch or short-term data noise
- **Recommended action:** Validate patterns using the Markets Section

### Step 5: Act with Context, Not Assumptions

Once performance patterns are clear:

###### Focus on what you control

- Identify stores deviating **only for your brand**
- Prioritize internal levers such as staffing, hours, merchandising, or operations
- Avoid reacting to short-term noise without multi-signal confirmation

###### Recognize market-driven shifts

- Flag stores where **the entire market is moving together**
- Treat these changes as external factors, not execution failures
- Adjust expectations rather than deploying unnecessary interventions

**Next Step:** Analyze your findings and align on where to act versus where to monitor.

---

### Key Takeaways

- **Don’t diagnose in isolation** — internal data needs market context.
- **Trust convergence** — multiple signals = strong confidence.
- **Benchmark smartly** — fair comparisons build trust and reduce debate.
- **Visualize patterns** — quick pattern checks prevent overreaction.

**Almanac helps Store Ops teams act decisively, not reactively — using context to turn noise into clarity.**

---

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Related Articles

- [Understanding the Store Performance Dashboard](https://help.passby.com/store-performance?hsLang=en)
- [Markets Section Overview](https://help.passby.com/markets?hsLang=en)
- [How Smart Benchmarks Work](https://help.passby.com/benchmarks?hsLang=en)

- [Getting Started](https://help.passby.com/getting-started?hsLang=en)
- [Walkthroughs](https://help.passby.com/walkthroughs?hsLang=en)
- [Analytics](https://help.passby.com/analytics?hsLang=en)
- [Dashboards.](https://help.passby.com/dashboards?hsLang=en)
- [Feature Guides](https://help.passby.com/feature-guides?hsLang=en)

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