With margins under pressure from rising costs, your front of house data is one of the most valuable tools you have to protect and grow revenue. Knowing which FOH metrics to track and how to act on them can make a real difference in your bottom line. See how R365’s financial reporting tools and restaurant KPI tracking give operators the visibility they need to stay ahead.
Data drives successful restaurants. After all, it is hard to improve a metric if you do not know your starting point.
You can use data to improve restaurant operations, both in your front of house (FOH) and back of house (BOH). Tracking key FOH metrics can help provide a path to healthy revenue levels. Optimizing your BOH and FOH metrics boosts the efficiency of your labor and food spending.
Tracking BOH and FOH data can help you root out issues and discover potential solutions. And once you start to implement different changes, you can track your progress with data and find out what is working.
Both BOH and FOH restaurant KPIs deserve a closer look to help protect your profitability. In this blog post, Part 1 of 2, we will dive into the metrics you should be examining with your FOH’s profitability. For a look at the other half of the equation, read Part 2: Critical BOH Restaurant KPIs.
Focus on four main areas that touch the guest experience to get the most out of FOH business:
You should start by creating a baseline of data that you can check over time to monitor improvement. So, what data should you be tracking around your FOH? R365’s 5 restaurant KPIs to track weekly is a great place to start, and the restaurant KPIs overview gives you a broader framework for building out your tracking approach.
First, start by examining the entire customer experience. Any data you can collect about different stages of the guest experience can help you better optimize each element.
When a customer first discovers your restaurant through a search and discovery platform, what does their first impression look like? A new customer may book a reservation or an event, which means the customer will receive confirmations and reminders. Or the new diner may check out your social media or an affiliate network. Every step of this process, from the beginning to end, influences how a customer perceives your restaurant.
Next, examine the guest experiences while actually dining with you, whether on or off premise. This part of the customer experience covers everything from online ordering to payment and getting a reservation to being waitlisted.
Finally, how do you get a customer to return? By figuring out how the first experience went, you can set up successful loyalty and retention activities. Whether you solicit guest feedback, promote special offers based on customer behavior, or set up marketing automation for your loyalty program, your tailored marketing solution is also part of the overall customer experience.
For a deeper look at how the front of house shapes profitability at every touchpoint, see R365’s guide to what front of house means in a restaurant and how building customer retention drives long-term profitability.
Ultimately, your FOH profitability is affected by how much it costs to get business in the door. Do you know how much you spend to acquire a new on-premise and off-premise customer?
You can calculate this number with a simple calculation:
Average Customer Acquisition Cost = Marketing Expenses / Total New Customers
Your marketing expenses include anything you spend on a marketing campaign, like purchasing monthly targeted ads or doing paid social ads.
Marketing expenses should also include any third-party fees, whether per cover or per order. These third-party fees increase your exposure and deliver customers, so they should be seen as marketing fees. Essentially, you are paying a commission for being available for the order or reservation.
With delivery and off-premise dining continuing to grow, third-party fees are a bigger line item than ever. Tracking acquisition cost accurately helps you understand which channels are actually profitable. For more on how to use customer data to inform these decisions, check out R365’s guide on 6 ways to convert customers into regulars.
Next, use your data to increase how much your average guest spends at your restaurant. This data point is known by many different names: price per guest, price per cover, guest average, or check average.
Basically, you are answering the question: once the customer enters your restaurant, or places an order, how much money is spent? How much does a guest need to spend so that it was a profitable use of that seat?
You can use the following formula to calculate average spend per guest:
Guest Average = Total Sales / Total Number of Covers or Orders
Note: with the above equation, make sure to remove tax and tip from your total sales, because that amount does not go to the restaurant.
When you evaluate this data, make sure that you examine covers versus orders separately, because there is typically a large difference in guest spend for dine-in versus takeout. In addition, you can break down these numbers by other factors, such as meal or day part, or even weekday versus weekend.
You can track this number over time as you implement different tactics to increase the average spend.
There are a few ways you can increase average spend, such as:
Staff training is one of the highest-return investments for increasing average spend. See R365’s guide to upselling in a restaurant for practical techniques your team can start using right away, and explore upselling strategies for restaurants to build a program that scales across your locations.
Do you know how many turns your restaurant does per shift? And based on the turns, how many covers?
Your “turn time” is how long each party sits. The number of table turns that you do in a night will ultimately affect your guest count.
Track how long your average party sits, as well as the average turn time by party size. If possible, with your table management system, also break this data down into turn time by server so you can evaluate how your team is interacting with tables.
You can also examine your cover utilization, or how many covers you are seating per shift. Capacity optimization relies on building the perfect book of reservations with your table management system.
There are ways to increase turns without sacrificing service. First, if you have a reservations tool, you can leverage smart seating via an auto-assign algorithm. This automatically assigns smart table configurations, allowing you to maximize where you put reservations so you can fit more covers.
You can also track your metrics on how many people no-show or cancel, so you can be confident in your overbooking strategy to maximize your seating plan.
Finally, you can also leverage other tools like a virtual waitlist with accurate wait time quotes. The more accurate your wait times, the more likely it is that guests stay on the waitlist.
Turn time data becomes even more powerful when tied to server performance. See how restaurant labor costs every store manager should track connects table turn metrics to staffing efficiency, and explore R365’s operational reporting tools for tracking covers and turn times across shifts.
One of the most crucial data sets that is frequently overlooked is your guest feedback.
Do you know your average rating from direct guest feedback and public sites? It is essential to have both direct feedback (ratings from in-house surveys) as well as public reviews on Yelp, Google, and other ratings sites.
Getting guest feedback directly from your customers can feel a bit intimidating, but it is advantageous. If you solicit guest feedback yourself, you can fix issues before they are published online and you can earn yourself a loyal, dedicated customer in return.
While it can be time consuming to stay on top of guest feedback, you can learn a lot from your average ratings and comments. Reviews can alert you to service inconsistencies, needed improvements, or even reactions to menu changes.
Online reviews carry more weight than ever in today’s market, with guests increasingly checking ratings before choosing where to dine. Making feedback collection a consistent part of your FOH operations is one of the most cost-effective ways to protect your brand. For strategies on building a feedback loop that turns guests into regulars, see R365’s guide on customer service strategy in restaurants.
Finally, for FOH, understanding the value of a loyal customer can help you make better decisions.
To understand value in concrete terms, calculate the predicted cash flow from a “regular” based on their visit frequency and average monetary spend:
Average Customer Value = Average Spend (on- or off-premise) x Average Number of Experiences Per Year
This number can vary by restaurant, so make sure to also consider the average ticket size, visits per year, and party size.
Your regular customers provide exceptional value for your restaurant. These are the customers who come back, who you can count on if there is a slow day or a special event. They also serve as part of your marketing by recommending you to family and friends.
Once you know the annual value of a customer, you know what to work toward achieving with your regulars.
You can maximize customer value by focusing on areas like:
Research shows that retaining an existing customer is 6 to 7 times less expensive than acquiring a new one, making loyalty one of the highest-return investments in your FOH strategy. For more on building a program that drives repeat visits, explore R365’s guide to building customer retention and profitability and 6 ways to convert customers into regulars.
The most impactful FOH KPIs are customer acquisition cost, average spend per guest, table turn time, guest feedback scores, and customer lifetime value. Together these metrics give you a clear picture of how efficiently your front of house is converting traffic into revenue and repeat business.
Divide your total marketing expenses by the number of new customers acquired during the same period. Be sure to include third-party delivery and reservation platform fees in your marketing expenses, since those are effectively commissions you pay to reach new guests.
Turn time varies by concept and service style, but the goal is to maximize covers per shift without rushing guests. Tracking turn time by server and party size helps identify where slowdowns are happening and whether they are tied to staffing, kitchen timing, or table management.
The most effective tactics are server upselling training, add-on prompts during ordering, curated experiences like prix fixe menus or ticketed events, and loyalty-driven personalization. Even small increases in average check size can have a meaningful impact on weekly revenue across a multi-location operation.
Guest feedback is one of the most direct signals you have about service quality and operational consistency. Tracking your average rating across direct surveys and public review platforms helps you catch issues early, respond before they compound, and build the kind of loyalty that drives repeat visits and word-of-mouth referrals.
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Your restaurant is constantly generating data, whether you are tracking it or not. By tracking FOH restaurant KPIs, you can take advantage of this information to improve guest satisfaction and increase your sales levels over time. Whenever you use data to inform your decisions, you are adding to your ultimate restaurant profitability.
Restaurant365 incorporates restaurant accounting software and restaurant operations software into an all-in-one, cloud-based platform. It includes tools for financial reporting, operational reporting, inventory control, scheduling, and more. Get a free demo of R365 to see how smarter FOH tracking and real-time visibility can drive stronger margins across every location. Request a demo here.
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