Features
Store Health
Store Health monitors your store's operational metrics and detects anomalies in orders, fulfillment, refunds, and revenue. Get alerted when something's off before it becomes a bigger problem.
Store Health
Store Health monitors your store's operational metrics and detects anomalies in orders, fulfillment, refunds, and revenue. Get alerted when something's off before it becomes a bigger problem.
Overview
Store operations have natural patterns. When those patterns break, it often indicates a problem. Store Health provides:
- Daily KPI Tracking: Orders, fulfillment rate, refund rate, revenue
- Baseline Comparison: Smart thresholds based on your store's patterns
- Anomaly Detection: Automatic alerts when metrics deviate significantly
- Correlation Analysis: Link anomalies to potential causes
- Historical Trends: Understand patterns over time
Getting Started
Baseline Period
Store Health requires 7 days of data to establish baselines:
┌─────────────────────────────────────────────────────────────────┐
│ BASELINE SETUP │
│ │
│ Day 4 of 7 │
│ [████████████░░░░░░░░░░░░] 57% │
│ │
│ We're collecting data to understand your store's normal │
│ patterns. Anomaly detection will activate in 3 days. │
│ │
│ Data collected so far: │
│ ├─ Orders: 342 │
│ ├─ Average daily orders: 85 │
│ ├─ Average fulfillment rate: 94% │
│ └─ Average refund rate: 2.1% │
│ │
│ You can still view metrics, but alerts won't fire yet. │
└─────────────────────────────────────────────────────────────────┘
After Baseline
Once established, PeerScripts actively monitors for anomalies:
┌─────────────────────────────────────────────────────────────────┐
│ STORE HEALTH [Sync Now] │
│ │
│ ┌──────────┐ ┌──────────┐ ┌──────────┐ ┌──────────┐ │
│ │ Orders │ │Fulfillment│ │ Refund │ │ Revenue │ │
│ │ 142 │ │ 94.2% │ │ 2.1% │ │ $24,580 │ │
│ │ ↑ 12% │ │ ↓ 2.3% │ │ normal │ │ ↑ 15% │ │
│ └──────────┘ └──────────┘ └──────────┘ └──────────┘ │
│ │
│ Status: HEALTHY │
│ All metrics within normal ranges │
│ │
│ Recent Attention Items: 0 │
└─────────────────────────────────────────────────────────────────┘
Key Metrics
Orders
Total orders placed in the selected period.
| Indicator | Meaning |
|---|---|
| ↑ Green | Increase from baseline (usually good) |
| ↓ Red | Decrease from baseline (investigate) |
| Normal | Within expected range |
Anomaly Triggers:
-
50% increase (could indicate viral traffic or fraud)
-
30% decrease (could indicate site issues)
Fulfillment Rate
Percentage of orders fulfilled within expected timeframe.
| Rate | Status | Action |
|---|---|---|
| 95-100% | Excellent | Maintain |
| 85-94% | Good | Monitor |
| 70-84% | Warning | Investigate |
| < 70% | Critical | Act immediately |
Anomaly Triggers:
- Drop > 10% from baseline
- Sustained below 85%
Refund Rate
Percentage of orders that resulted in refunds.
| Rate | Status | Possible Causes |
|---|---|---|
| 0-2% | Normal | - |
| 2-5% | Elevated | Product issues, shipping damage |
| 5-10% | High | Quality problems, description mismatch |
| > 10% | Critical | Systemic issues |
Anomaly Triggers:
-
2x baseline rate
- Spike in short period
Revenue
Total revenue in the period (excluding refunds).
| Indicator | Meaning |
|---|---|
| ↑ Green | Revenue increase |
| ↓ Red | Revenue decrease |
| AOV Change | Average order value shifted |
Attention Items
What Are Attention Items?
Attention items are anomalies that require your review:
┌─────────────────────────────────────────────────────────────────┐
│ ATTENTION ITEMS │
│ │
│ ⚠ HIGH PRIORITY │
│ ┌─────────────────────────────────────────────────────────┐ │
│ │ Fulfillment Rate Drop │ │
│ │ Current: 78% • Baseline: 94% • Change: -16% │ │
│ │ Detected: 2 hours ago │ │
│ │ [View Details] [Acknowledge] │ │
│ └─────────────────────────────────────────────────────────┘ │
│ │
│ ⓘ MEDIUM PRIORITY │
│ ┌─────────────────────────────────────────────────────────┐ │
│ │ Order Volume Spike │ │
│ │ Current: 245 • Baseline: 142 • Change: +72% │ │
│ │ Detected: 6 hours ago │ │
│ │ [View Details] [Acknowledge] │ │
│ └─────────────────────────────────────────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
Attention Item Types
| Type | Severity | Description |
|---|---|---|
| Fulfillment Drop | High | Fulfillment rate below threshold |
| Fulfillment Delay | High | Fulfillment taking longer than usual |
| Refund Spike | High | Unusual increase in refunds |
| Cancellation Spike | High | Unusual increase in cancellations |
| Order Volume Anomaly | Medium | Orders significantly above/below baseline |
| Revenue Anomaly | Medium | Revenue significantly different from expected |
| Inventory Stockout | Medium | Top sellers out of stock |
Viewing an Attention Item
┌─────────────────────────────────────────────────────────────────┐
│ ATTENTION ITEM: Fulfillment Rate Drop │
│ │
│ Severity: HIGH Status: Active │
│ Detected: Jan 15, 2025 at 2:30 PM │
│ │
│ ───────────────────────────────────────────────────────────── │
│ │
│ SUMMARY │
│ Fulfillment rate dropped significantly from baseline. │
│ │
│ METRICS │
│ ├─ Current Rate: 78% │
│ ├─ Baseline Rate: 94% │
│ ├─ Change: -16 percentage points │
│ └─ Duration: 8 hours │
│ │
│ AI ANALYSIS │
│ Based on available data, this drop appears correlated with │
│ increased order volume (+72%). The fulfillment team may be │
│ overwhelmed. Additionally, 15 orders are pending for items │
│ that went out of stock this morning. │
│ │
│ POTENTIAL CORRELATIONS │
│ ├─ Theme change detected 10 hours ago │
│ ├─ Order volume spike started 8 hours ago │
│ └─ 3 products went out of stock │
│ │
│ [Create Ticket] [Acknowledge] [Dismiss] │
└─────────────────────────────────────────────────────────────────┘
AI Analysis
Automatic Analysis
PeerScripts AI analyzes each attention item to provide:
- Root cause suggestions based on data patterns
- Correlation identification with recent changes
- Recommended actions to resolve the issue
- Historical context from similar past events
Requesting Analysis
For any attention item:
- Click View Details
- Click Analyze (if not already analyzed)
- Wait for AI to process
- Review findings and recommendations
Correlation Detection
What Gets Correlated?
PeerScripts automatically checks for relationships between anomalies and:
| Data Source | Examples |
|---|---|
| Theme Changes | File edits, theme swaps |
| Product Changes | Price updates, inventory changes |
| App Activity | New installs, app updates |
| Marketing Events | Email campaigns, ad launches |
| External Events | Holidays, known site changes |
Viewing Correlations
┌─────────────────────────────────────────────────────────────────┐
│ CORRELATIONS │
│ │
│ Timeline (Last 24 Hours) │
│ │
│ 10:00 ─── Theme file edited: header.liquid │
│ Changed: Removed promotional banner │
│ │
│ 11:30 ─── Order volume started increasing │
│ Rate: +15% per hour │
│ │
│ 14:00 ─── Product SKU-123 went out of stock │
│ Last units sold, no replenishment pending │
│ │
│ 14:30 ─── ⚠ ALERT: Fulfillment rate drop detected │
│ Dropped from 94% to 78% │
│ │
│ Likely Cause: Combination of high volume and stockout │
│ preventing order completion. │
└─────────────────────────────────────────────────────────────────┘
Historical Metrics
Viewing Trends
Access historical data:
- Click History in Store Health
- Select date range
- Choose metrics to display
- View trend charts
Fulfillment Rate Trend (30 Days)
100%┤
95%┤────────────────╮ ╭────
90%┤ ╰───╯
85%┤
80%┤ ↓ Current
└─────────────────────────
Week 1 Week 2 Week 3 Week 4
Comparing Periods
Compare current period to:
- Previous week
- Previous month
- Same period last year
- Custom period
Health Baselines
How Baselines Work
Baselines are calculated from your store's historical patterns:
- Rolling Average: Last 7-14 days of data
- Day-of-Week Adjustment: Account for weekly patterns
- Seasonality: Consider known seasonal trends
- Outlier Exclusion: Ignore anomalous past data
Baseline Settings
Configure baseline behavior:
| Setting | Description | Default |
|---|---|---|
| Rolling Window | Days used for baseline | 14 |
| Sensitivity | How much deviation triggers alert | Medium |
| Excluded Dates | Dates to ignore in baseline | None |
Manual Sync
When to Sync Manually
- After making significant changes
- To see latest data immediately
- If automatic sync seems delayed
How to Sync
- Click Sync Now in Store Health
- Wait for sync to complete (usually < 1 minute)
- Review updated metrics
Best Practices
Daily Monitoring
- Check dashboard each morning
- Review any new attention items
- Acknowledge or act on items
- Monitor metrics throughout the day
Responding to Anomalies
- Don't panic - Review the data first
- Check correlations - What changed recently?
- Use AI analysis - Get intelligent suggestions
- Create tickets - Track your investigation
- Take action - Resolve the root cause
- Acknowledge - Mark as handled
Maintaining Healthy Baselines
- Keep regular operations - Consistency improves detection
- Mark special events - Exclude sales events from baseline
- Review periodically - Ensure baselines reflect reality
Troubleshooting
No Alerts Firing
- Check if baseline period is complete (7 days)
- Verify sensitivity settings aren't too low
- Ensure data is syncing properly
Too Many Alerts
- Increase sensitivity threshold
- Exclude known special events
- Adjust baseline window
Incorrect Metrics
- Verify Shopify data accuracy
- Check for delayed sync
- Review date range selected
Related Features
- Changes Tracking - What changed in your store
- Catalog Intelligence - Product and fulfillment analysis
- Explanation Engine - Ask why anomalies occurred