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Restaurant Analytics

After login, analytical data for a single restaurant location can be accessed on the left hand side of the screen under Analytics.

Information

Display

Dining Stats (Day by Day)

  • Total tables by table size occupied for the day – shows total occupancy by party size every 15 minutes throughout the open hours of the day

  • Daily Table Turns – shows each table and how many times it turned during the day

 

(Video Coming Soon)

Events (Date Range)

  • Events – shows all birthdays, anniversaries, and business meeting events with percentages of each during the period defined

  • Party Flag Usage – shows how often each active Party Flag was used during the period defined

 

(Video Coming Soon)

Growth (Date Range)

  • Reservations & Wait Lists – shows the daily changes in wait list, reservations and total parties

  • Covers – shows the daily changes in wait list, reservations and total covers

 

(Video Coming Soon)

Server Stats (Date Range)

  • Server Party Efficiency – shows how much time, on average, each server spends with each size party

  • Server Stats – shows the total tables, total covers and percentages of the totals of each for each server

 

(Video Coming Soon)

Take Out (Date Range)

  • Take Out – shows how many orders were entered, and the result of the order

  • Customer Breakdown – shows how many new and returning guests ordered

  • Wait Time – Quoted vs Actual – compares the wait estimate with the actual wait

 

(Video Coming Soon)

Traffic (Date Range)

  • Reservations & Waitlist – showing all completed reservations, waitlist guests, cancellations and no shows

  • Customer (Guest) Breakdown – showing new, returning and anonymous guests

  • Booking Method – showing how guests made reservations or wait lists

  • Booking Method by Status – showing if guests dined or not after booking

  • Completed Reservations and Wait List Covers – showing total guests by party size

  • Booking Method by Party Size – showing how each party size booked a visit

  • Meal Duration – Actual vs Estimate – compares the Default Meal Duration in Program Settings to the actual recorded average for the time period specified by the user

 

(Video Coming Soon)

Wait Time Efficiency (Day by Day)

  • Shows the difference between the quoted wait times and the actual wait times experienced by guests. Below the graph are details of each party receiving a wait time and how accurate that quote was

 

(Video Coming Soon)


Company Analytics

Analytical date, stack-ranked by location for a multi-location restaurant chain can be accessed by clicking Analytics, then selecting Company.

Company Data can be exported into various formats, including .csv, .xls, .pdf and more.

Information

Display

Booking Method (Date Range)

  • Shows how many parties booked at each location by source, such as Phone, Portal, Walk In, Web, Restaurant API, Google etc. Percentages of each source as well as the percentage of each individual location when compared with the total are presented. 

(Video Coming Soon)

Covers (Date Range)

  • Shows the number of covers, tables and average party for each location.

(Video Coming Soon)

Days Used (Date Range)

  • Shows the number of days each location used the SpotOn Reserve Host App

(Video Coming Soon)

Events (Date Range)

  • Shows the number of birthdays, anniversaries, business meetings and call ahead for each location.

(Video Coming Soon)

Meal Duration (Date Range)

  • Shows the average actual meal duration, by party size, for each location

(Video Coming Soon)

Parties by Size (Date Range)

  • Shows the number of parties by party size, and the corresponding percentages of each, by location as well as the percentage of the total for each location

(Video Coming Soon)

Parties Sat (Day by Day)

  •  Shows the number of parties and covers being sat every 15 minutes as well as the current occupancy every 15 minutes

(Video Coming Soon)

Reservation Status (Date Range)

  • Shows the number of parties completed, no show parties, walk out parties as well as cancellations both by the restaurant staff and by the user

(Video Coming Soon)

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