Your Libro Statistics page is more than just a report; it's your restaurant's command center. It transforms your daily Reservation and Guest data into clear, actionable insights that help you understand your performance, optimize your operations, and see which marketing channels are driving the most business.
Think of it as the simplest way to make data-driven decisions, all without leaving your Libro Back Office.
Key Benefits at a Glance
Before diving into the details, here's what you can achieve by using your Statistics page:
- Optimize Your Operations: Understand your average table turn time and guest wait times to improve your seating strategy, manage guest expectations, and make smarter staffing decisions during peak hours.
- Understand Guest Behavior: See how many guests are visiting for the first time versus returning, giving you a clear picture of your customer loyalty and the reach of your marketing.
- Measure Marketing Success Simply: Instantly see which channels (your website, Google, Instagram, etc.) are bringing in the most online reservations, helping you focus your efforts where they matter most.
- Monitor Your Reputation: Keep track of your average review ratings from multiple sources in one consolidated view to stay on top of guest feedback.
How to View Your Statistics Page
To access the statistics page, follow the steps below:
- Access your Libro Back Office
- From the My Restaurantslist, click on Settings
- In the left-hand sidebar, click on Statistics
Navigating the Two Tabs
The Statistics page is divided into two distinct sections to help you focus on specific areas of your business:
1. Reservations Tab
This tab focuses on the "now" and the operational flow of your floor.
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Time Period Selection: Use the Time Period Drop-down at the top left to filter your data (e.g., Today, This week to date, This month to date, This year to date, or Custom). Note: This drop-down is only available while viewing this tab.
Reservation Summary: A high-level look at Reservations, Walk-ins, No-Shows, and Cancellations.
Guest Insights: View your Total of First Visits and the total number of Guests for the selected period.
Operational Metrics: Track your Average Wait Time (broken down by party size) and Average Table Turn-over.
Reservation by Source: A visual breakdown of where your Reservations are coming from, such as the Libro Widget, Google, or Social Media.
2. Reviews & Marketing Campaigns Tab
Switch to this tab to evaluate your restaurant’s reputation and the performance of your marketing outreach:
Average Review Rating: A consolidated view of ratings from Google, Facebook, TripAdvisor, and your private Libro reviews.
Marketing Campaigns Statistics: Detailed data on your Last Campaign and All Campaigns, including Direct Generated Reservations, Seats, and Estimated Revenue.
Understanding Your Reporting Day
To ensure your statistics accurately reflect a full shift, especially when service runs past midnight, the data is collected using a specific time window:
Your reporting day runs from 4:00 AM to 3:59 AM the following calendar day.
This logic ensures that all activity from a single service period is never split between two days, providing you with consistent and reliable figures. The exact dates and time of the data shown will always be clearly displayed at the top of the Statistics Page.
Understanding Your Metrics
Here is a breakdown of what each field means and, more importantly, how you can use it.
Reservations Metrics
| Indicator | Description |
|---|---|
| Reservation Summary |
Displays the total count of Reservations, Walk-ins, No-shows, and Cancellations for your selected period. Note: The number of reservations does not include the count of cancellations and no-shows. |
|
Percentage of reservations that resulted in a visit |
For a reservations to be counted as "resulting in a visit", the status has to be changed to Arrived, Partially Seated, Seated, Completed, Approved or Confirmed. A reservation that is left on Requested status will not be counted. Note: This percentage is only available for passed dates. |
| Total of First Visits | Number of reservations that reserved at your restaurant for the first time. Walk-ins are excluded from this number, unless a new guest file is created and linked to the walk-in. |
| Total Guests | Total number of guests for the time period selected. Includes the number of seats for reservation and walk-ins combined. The count excludes guests from cancellations and no-shows. |
| Average Table Turn-over |
The time between when a reservation or walk-in was seated and the time it was completed. The system takes all the times and calculates the average for the given period. |
| Average Wait Time |
The average wait time before a reservation or a walk-in is seated. The wait time is displayed per party size, for parties of 1 to 6 people. Reservations:
Walk-ins:
The system takes all the wait times and calculates the average. |
| Reservation by Source | Number and percentage of reservation that were booked internally, online on your Libro widget, Google, Facebook and Instagram. |
Reviews & Marketing Campaigns Metrics
| Indicator | Description |
|---|---|
| Average Review Rating | A consolidated view of average ratings from Private Reviews, Facebook, and Tripadvisor. |
| Last Campaign |
Detailed performance of your most recent email, including Direct and Indirect Generated Reservations/Seats, and Estimated Revenue. Note: Your Estimated Revenue is calculated by multiplying the number of converted seats by the average meal price you defined when creating the campaign. |
| All Campaigns |
A historical summary of total Generated Reservations, Seats, and All-Time Estimated Revenue across all sent campaigns. Note: To calculate the Average Revenue, only campaigns where an average meal price was set are included in this all-time average calculation. |
Understanding Campaign Conversions
| Indicator | Description |
|---|---|
| Generated Reservations & Seats | This corresponds to the total number of Reservations and the specific number of Guests generated by your campaign. This includes both direct and indirect activity. |
| Direct Conversion | This occurs when a Guest clicks the "Reserve Now" button directly within your campaign email and completes a Reservation through that specific link. |
| Indirect Conversion | This occurs when a Guest opens your campaign email but chooses not to click the link. Instead, they make a Reservation through your website widget within 30 days of receiving the campaign. |
| Estimated Revenue | Revenue is calculated by multiplying the number of converted seats (both direct and indirect) by the average meal price you defined when setting up the campaign. |
Analyzing your Metrics
Making the Most of "Reservation by Source"
This section is one of the most powerful tools on the page. The "source" is the referer—put simply, it's the last digital doorway a guest came through before booking a table. Understanding this helps you see exactly which of your online efforts are paying off.
How to Use This Data:
- If you see a high number from Online / Libro widget, it means your website is doing a great job of converting visitors into diners. This is traffic you own directly.
- If Google is a top source, your search engine presence and Google Business Profile are strong and effectively driving reservations.
- If Facebook or Instagram are major sources, it's a clear sign that your social media marketing is successfully capturing your audience's attention.
For many restaurants, this report provides all the marketing source information you need without the complexity of setting up Google Analytics. It's the quickest way to find out what's working so you can do more of it.
Using Guest Insights to Build Loyalty
Shift your focus from just counting new customers to actively building a strategy around them. The Total of First Visits metric is your best indicator of marketing success and brand growth, directly answering the question: "Are we attracting new people?"
Actionable Advice Based on the Data:
- If your Total of First Visit number is high: This is fantastic news! Your marketing efforts are successfully drawing in new diners. Now, your goal is to turn these first-timers into regulars. Use Libro's guest notes and marketing tools to capture their information and create a follow-up marketing campaign—maybe offering an exclusive incentive for their second visit.
- If your Total of First Visit number is low: This could indicate a very loyal customer base, but also a lack of new growth. It might be time to run a new promotion aimed at a broader audience. Check your Reservation by Source data to see which channels are underperforming and could be improved to drive fresh traffic.
Optimizing Operations with Time-Based Metrics
The ideal dining experience is a balancing act: you want fast service to maximize revenue, but not so fast that guests feel rushed. Grouping the Average Table Turn-over and Average Wait Time metrics helps you find that perfect balance, boosting efficiency and guest satisfaction.
Analyzing Average Table Turn-over
Compare this number to the dining duration you have set for your reservations.
- If your actual turnover is much faster, you may have an opportunity to tighten your booking slots and fit in more reservations per night, directly increasing revenue.
- If it's consistently slower, it could be a signal to look at kitchen ticket times, service efficiency, or when staff are dropping the check.
Analyzing Average Wait Time
A consistently long wait time is a major pain point that can negatively impact your Average Review Rating.
- Look for patterns here: Is the wait time for parties of 4 always long on Saturdays? This data can help you adjust your floor plan or reservation pacing to better manage peak demand and keep guests happy before they even sit down.
Is this the right tool for you?
The Statistics Page is perfect for a quick, high-level overview of your reservations and their sources.
If you need to measure the specific revenue from a marketing campaign or perform a deep-dive analysis of how users interact with your reservation widget, another tool might be a better fit.
Learn more in our Guide to Choosing the Right Analytics Tool.