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Analytics

The Analytics section has 7 visual reports that help you understand your restaurant's performance. All charts accept date range filters so you can compare periods.

The 7 Analytics Reports

Report URL What it shows
Revenue Tracking /dashboard/analytics/revenue-tracking Day-by-day revenue, growth %, projections
Bookings /dashboard/analytics/bookings Booking volume trends
Customers /dashboard/analytics/customers New vs repeat customers
Offers /dashboard/analytics/offers Coupon redemption stats
Reviews /dashboard/analytics/reviews Rating trends
Coupon Analytics /dashboard/analytics/coupon-analytics Which coupons perform best
Revenue /dashboard/analytics/revenue Detailed revenue breakdown

Revenue Tracking

Revenue tracking

Your most important report. Shows:

  • Daily revenue for the date range
  • Growth % compared to previous period
  • Projection for the rest of the month
  • Top 5 days of the period

Use this every week to spot trends.

Bookings Analytics

Bookings analytics

Visual breakdown of your bookings:

  • By status (confirmed, cancelled, completed)
  • By day of week (which days are busiest)
  • By time slot (when customers book)
  • By party size (solo, couples, groups)

Useful for:

  • Identifying peak hours
  • Planning staffing
  • Spotting slow periods to add offers

Customers Analytics

Customers analytics

Customer-related metrics:

  • New vs Repeat customers
  • Customer lifetime value
  • Visit frequency
  • Top customers by spend

Repeat customers are 5x more valuable than new ones. Focus on retention.

Offers Analytics

Offers analytics

How your coupons are performing:

  • Redemption rate per offer
  • Revenue generated per offer
  • Most popular code
  • Offer usage by day of week

Use this to decide which offers to keep running.

Reviews Analytics

Reviews analytics

Rating and review trends:

  • Average rating over time
  • Review volume
  • Rating distribution (5โ˜…, 4โ˜…, etc.)
  • Common keywords in reviews

If your rating drops below 4.0, you lose customers. Monitor weekly.

Coupon Analytics

Coupon analytics

Deeper look at coupon performance:

  • Which codes are most used
  • Conversion rate (booked vs cancelled)
  • ROI on each offer

How to Use These Reports

Weekly Routine

Every Monday morning:

  1. Check Revenue Tracking โ€” see last week's numbers
  2. Compare to previous 4 weeks โ€” trending up or down?
  3. Look at Bookings Analytics โ€” are there slow days you can boost?
  4. Check Reviews โ€” any concerns?

Monthly Review

First of every month:

  1. Full month Revenue report
  2. Customer retention metrics
  3. Adjust your offers based on performance

Quarterly Planning

Every 3 months:

  1. Year-over-year comparison
  2. Seasonal trends
  3. Plan offers for upcoming holidays

Tips

  • โœ… Set date ranges to specific periods (last 7 / 30 / 90 days)
  • โœ… Compare to equal-length previous periods
  • โœ… Export reports to share with your team
  • โŒ Don't make decisions on a single day โ€” look at trends

Next

Head to Reports to learn about downloadable CSV exports.

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