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Hourly Footfall

Hourly Footfall shows guest counts across all 24 hours of the day, broken down by day of week, over a date range (default last 30 days) — with Breakfast, Lunch, Afternoon and Dinner shift bands overlaid so you can see precisely when within a shift your traffic actually peaks.

📍 Menu path: Reports & Analytics → Hourly Footfall
👤 Who uses it: All roles with the Reports feature enabled

Overview

The grid runs all 24 hours (12a–11p) across the seven days of the week (Mon–Sun), each cell showing guest count for that hour/day combination over the selected date range.

Shift bands are overlaid for reference: Breakfast (6am–11am), Lunch (11am–3pm), Afternoon (3pm–7pm), Dinner (7pm–12am) — each with its own background tint — so an hourly spike can be read in the context of which service it falls in.

A summary section totals guest counts, and the date range defaults to the last 30 days to smooth out single-day noise.

This is a finer-grained companion to Covers & Footfall Report, which groups by shift only — use Hourly Footfall when you need to know the exact hour within a shift where traffic peaks (e.g. is Dinner busiest at 7:30pm or 9pm?).

Before You Start

Step-by-Step Guide

1 Find your exact peak hour within a shift

  1. Open Hourly Footfall with the default (or a wider) date range.
  2. Locate the shift band you care about (e.g. Dinner) and scan across its hour columns for the highest guest counts.
  3. Use this to fine-tune staffing start times or reservation slot spacing within that shift.

2 Compare weekday vs weekend patterns

  1. Scan across the Mon–Sun rows for the same hour band.
  2. Identify whether weekend peaks shift earlier/later or run longer than weekday peaks.

Every Field & Button, Explained

Field / ButtonWhat it does
24-hour × day-of-week gridGuest counts for every hour of every day of the week, aggregated over the selected date range.
Shift bands (Breakfast/Lunch/Afternoon/Dinner)Reference overlays showing which named service each hour column falls into.

Tips & Best Practices

Troubleshooting & FAQ

The grid looks sparse for early morning or late night hours.
That's expected if your restaurant isn't open or has low traffic during those hours — check your actual operating hours before treating it as a data issue.
I want a shorter or longer range than 30 days.
Adjust the From/To date range directly — 30 days is only the default starting view.