Popular Items

See which menu items get the most attention from diners.

Item Popularity Metrics

View Count

Number of times each item was viewed:

• List view impressions
• Detail view opens
• Combined total

Engagement Score

Composite metric based on:

• View count
• Time spent viewing
• Click-through rate to details

Popular Items List

View your top-performing items:

Time-Based Analysis

Popularity Over Time

Track how item popularity changes:

• New items gaining traction?
• Seasonal shifts in interest?
• Impact of menu position changes?

Time of Day

When items get viewed:

Signature Burger:
├── Lunch: 45%
├── Dinner: 40%
└── Late Night: 15%

House Salad:
├── Lunch: 65%
├── Dinner: 30%
└── Late Night: 5%

Category Performance

By Section

See which menu sections get most views:

Entrees: 40%
Appetizers: 25%
Desserts: 15%
Drinks: 12%
Sides: 8%

Within Categories

Top items per category:

• Best appetizer
• Best entree
• Best dessert

Low Performers

Least Viewed Items

Items getting minimal attention:

Analysis Questions

For low performers, consider:

• Placement - Buried in menu?
• Name/Description - Unclear what it is?
• Photo - Missing or low quality?
• Price - Out of line with similar items?

Allergen Impact

Safe Items by Popularity

How do allergen-safe items perform?

Gluten-Free Items:
├── Above Avg Popularity: 8
├── Average: 5
└── Below Average: 3

Dairy-Free Items:
├── Above Avg Popularity: 6
├── Average: 7
└── Below Average: 2

Filter-Driven Views

Items viewed more by filter users:

• May indicate limited safe options
• High demand for specific dietary items

Menu Position Impact

Position Analysis

Do items higher on the menu get more views?

Position 1-3:   ████████████ Avg. 450 views
Position 4-6:   ████████ Avg. 320 views
Position 7-10:  ██████ Avg. 240 views
Position 11+:   ████ Avg. 160 views

Optimization

Consider repositioning:

• Move high-margin items up
• Feature items you want to promote
• Don’t bury your best sellers

Comparison Tools

A/B Testing

Compare item performance:

• Before/after description changes
• With/without photos
• Different menu positions

Seasonal Comparison

Same item across seasons:

• Summer vs. winter performance
• Holiday periods
• Event-driven changes

Actionable Insights

For High Performers

• Ensure adequate stock/preparation
• Consider variants or similar items
• Use in marketing materials
• Maintain quality consistency

For Low Performers

• Improve description/photos
• Reposition in menu
• Consider promotional pricing
• Evaluate if worth keeping

For New Items

• Track first 30 days closely
• Compare to similar existing items
• Adjust based on early data

Reports

Generate Reports

1. Navigate to Analytics > Popular Items
2. Select date range
3. Choose categories to include
4. Click Export

Report Contents

• Item rankings
• View trends over time
• Category breakdowns
• Recommendations

Best Practices

1. Review weekly - Catch trends early
2. Compare periods - Same day last week/month
3. Correlate with sales - Views vs. actual orders (if integrated)
4. Act on insights - Don’t just collect data