The $43.8 Billion Hotel F&B Revenue Gap: Why Hospitality Groups Are Losing Guests to Google

The Revenue You're Already Losing

There is a number floating around in hospitality finance circles that deserves more attention than it gets: $43.8 billion. That is the conservative estimate of annual food and beverage revenue that U.S. hotels leave on the table every year, calculated from the gap between what guests spend on dining during their trips and what hotels actually capture.

The math is not complicated. American travelers spent $367.5 billion off-site during trips in 2024, according to the U.S. Travel Association, compared to $323.7 billion on-site at lodging properties (SevenRooms / U.S. Travel Association, 2024). Food and beverage represents the single largest category of that off-site spending. When you isolate hotel guests specifically and apply CBRE's capture rate benchmarks, you arrive at a gap north of $40 billion that flows directly to restaurants, bars, and experiences that have no affiliation with the hotel where the guest is sleeping.

For a single 200-room hotel running 75% occupancy, that gap translates to roughly $1.2 million to $1.8 million per year in dining revenue that guests spend somewhere else. Not because the hotel's food is bad. Not because the hotel lacks a restaurant. Because the guest opened Google Maps at 6:30 PM and picked the first place with 4.5 stars and a photo of a good-looking steak.

This article breaks down exactly where that revenue goes, why traditional guest routing fails, and what hospitality groups with both hotels and restaurants can do about it.

Where Hotel Guest Dollars Actually Go

To understand the F&B revenue gap, you need to understand how guest spending is distributed. The U.S. Travel Association's 2024 travel expenditure data paints a clear picture.

Of every dollar a traveler spends on a trip, only 31% goes to lodging. The remaining 69% is split across food and beverage, transportation, retail, entertainment, and recreation (U.S. Travel Association, 2024). Lodging is the anchor of the trip, but it captures less than a third of total trip economics.

Here is the breakdown of where hotel guest dollars flow:

Lodging: 31%

This is the number hotels obsess over. ADR, RevPAR, occupancy. The room revenue machine is sophisticated, dynamic, and intensely optimized. Revenue management systems adjust pricing in real time. Distribution is managed across dozens of channels. Hotels have spent decades perfecting this 31%.

Food and Beverage: 27%

The second-largest spending category, and the one with the widest gap between what hotels could capture and what they actually do. A guest on a three-night trip will eat 6 to 9 meals. At most hotels, the property captures one or two of those meals (typically breakfast). The remaining five to seven meals go to off-site restaurants discovered through Google, TripAdvisor, or a quick "best restaurants near me" search.

Transportation: 17%

Largely outside the hotel's control, although resort properties and destination operators do capture some of this through shuttle services and partnerships with ride-share providers.

Retail and Entertainment: 15%

Shopping, attractions, events, and experiences. For hotels that operate in mixed-use developments or destination districts, this category represents a significant opportunity. For most traditional hotels, it is largely invisible revenue that guests spend elsewhere.

Recreation: 10%

Spas, golf, tours, excursions. Hotels with on-site amenities capture a portion, but the majority of recreation spending happens off-property.

The critical insight here is that the hotel room is a distribution point for all of this downstream spending. Every guest who checks in at your front desk will spend two to three times their room rate on non-lodging activities during their stay. The question is whether any of that spending flows back to properties you own or operate.

The F&B Opportunity in Context

Hotel F&B revenue grew 3.8% per occupied room in the first half of 2025, according to CBRE Hotels Research. That growth is encouraging, but it masks an important truth: F&B profit margins in hotels run 25 to 35%, compared to 70 to 80% for rooms (CBRE Hotels Research). The margin gap means hotels have historically underinvested in F&B as a revenue center, treating it as an amenity rather than a profit driver.

That calculus is changing. As room revenue growth slows in mature markets, F&B and ancillary revenue are becoming the primary levers for RevPAR growth. The hotels and hospitality groups that figure out guest-to-venue routing will have a structural advantage over those still treating F&B as a cost center.

The F&B Capture Rate Problem

If you run a hotel and you have never calculated your F&B capture rate, you are managing a major revenue line blind. The capture rate measures the percentage of in-house guests who dine at your on-site or affiliated restaurants during their stay. It is the single most important metric for understanding how much of the dining opportunity you are actually converting.

Here are the industry benchmarks, based on CBRE Hotels Research data:

Breakfast: 45-55% capture rate

Breakfast is the one meal where hotels have a natural advantage. The guest is already in the building. The restaurant is steps away. There is often an included breakfast or a loyalty program perk. Even so, roughly half of hotel guests still skip the on-site breakfast option, choosing to grab coffee and a pastry from a nearby cafe or skip the meal entirely.

Lunch: 10-15% capture rate

Lunch is where hotels lose badly. Most guests leave the property during the day, whether for business meetings, sightseeing, or simply exploring. Unless your hotel is a resort with nowhere else to go, lunch capture rates barely crack double digits.

Dinner: 10-15% capture rate

This is the number that should alarm every hotel operator. Dinner is the highest-value meal of the day, with average checks two to four times higher than breakfast or lunch. Yet hotels capture only 10 to 15% of their guests' dinner occasions. The remaining 85 to 90% of dinner spending goes to restaurants that have nothing to do with the hotel.

What These Numbers Mean in Dollars

For a 200-room hotel at 75% occupancy (150 occupied rooms per night), dinner capture rates of 10-15% mean roughly 15 to 23 guests eating on-site on any given evening. If your restaurant has 80 seats and you are only filling 15 to 23 of them with hotel guests, you are leaving enormous capacity on the table, or you are filling those seats with walk-ins who have no relationship with your hotel brand.

At an average dinner check of $65, the gap between a 12% capture rate and a 35% capture rate represents roughly $345,000 per year in incremental dinner revenue. For one hotel. If you operate a portfolio of five or ten properties, the aggregate gap is measured in millions.

Why Capture Rates Stay Low

The standard explanation is that guests want variety. They are in a new city and want to explore. That is partly true. But it ignores a more fundamental problem: most hotels have no mechanism to influence where guests eat dinner. The front desk hands over a room key and maybe a printed sheet of local recommendations. The concierge, if one exists, offers suggestions when asked. But there is no proactive system that connects a guest's preferences, trip context, and dining options into a timely, personalized recommendation.

The guest is left to figure it out on their own. And when left to their own devices, they default to the same tool everyone defaults to: their phone.

Why Your Concierge Desk Is Sending Guests to Competitors

The traditional concierge model was built for a different era. A guest walks up to a desk in the lobby, asks for a restaurant recommendation, and a knowledgeable human provides one based on years of local expertise.

That model is breaking down, and the data tells the story clearly.

The Google Default

According to TripAdvisor's 2024 research, 73% of hotel guests now choose restaurants through Google, TripAdvisor, or similar online platforms rather than asking hotel staff (TripAdvisor Research, 2024). Fifty percent of travelers specifically cite online reviews as their primary decision-making tool for dining (TripAdvisor, 2024).

This is not a generational quirk limited to millennials. Business travelers, families, and couples across every age group have adopted, and in many cases prefer, the phone-first approach. A separate study from Mews and OnePoll found that 80% of travelers now prefer digital or automated services over traditional concierge interactions (Mews/OnePoll, 2024). The concierge desk is not being replaced by a competitor. It is being replaced by a behavior pattern.

The Structural Problem with Concierge Recommendations

Even when guests do ask the concierge, the recommendation model has a built-in flaw: the concierge typically recommends the best restaurants in the area, regardless of ownership. A well-trained concierge at a Marriott property will happily send guests to the independent Italian restaurant across the street because it genuinely is the best option. That is good hospitality. It is also a direct revenue leak for any hospitality group that operates both hotels and restaurants in the same market.

The concierge is optimizing for guest satisfaction, not portfolio revenue capture. Those two objectives are not mutually exclusive, but without a system that aligns them, the default behavior is to recommend whatever the concierge personally thinks is best.

Declining Concierge Staffing

There is also a practical problem. Full-service concierge desks are expensive to staff. Post-pandemic, many hotels reduced or eliminated dedicated concierge positions. Select-service and lifestyle brands often never had them. The result is that the one human touchpoint that could influence guest dining behavior is disappearing from many properties entirely.

The digital concierge market is projected to reach $509 million by 2025, growing at a 7.4% compound annual growth rate (Grand View Research). That growth reflects a real demand signal: hotels know they need to guide guests, and they know the traditional model is not scaling. But most digital concierge solutions still have the same structural flaw as the human concierge. They recommend the best options, not your options.

The Information Asymmetry Problem

Here is the most frustrating part. Your hotel knows who the guest is. You know their name, their loyalty status, their check-in date, their checkout date, and often their stated trip purpose. You know they are in your building for three nights and will eat six to nine meals.

But you do nothing with that information in the critical window between check-in and the first dinner decision. By the time the guest is hungry, they have already opened their phone and made a choice. The window to influence that decision is roughly 30 to 90 minutes after check-in. Miss it, and you have lost the first dinner. Lose the first dinner, and you have likely lost the entire stay's dining occasions.

The Portfolio Advantage Nobody Is Using

Here is where the conversation shifts from diagnosis to opportunity. If you are a standalone hotel, your options for closing the F&B revenue gap are limited to your on-site outlets. But if you are a hospitality group that operates hotels and restaurants in the same markets, even if they are separate brands, you have a structural advantage that almost nobody is leveraging.

The Cross-Property Revenue Opportunity

Consider a hospitality group that operates three hotels and eight restaurants across a single metro area. Every night, those three hotels have roughly 400 to 600 guests who will eat dinner somewhere. If even 25% of those guests could be routed to one of the group's eight restaurants, that represents 100 to 150 incremental covers per night across the restaurant portfolio.

At an average dinner check of $55, that is $5,500 to $8,250 in nightly incremental restaurant revenue, or $2 million to $3 million annually. This is revenue from guests who were already staying at your hotels, already in your market, and already going to eat dinner somewhere. The only variable is whether they eat at a restaurant you own or a restaurant you do not own.

Why This Advantage Is Unrealized

The reason most hospitality groups fail to capture this cross-property revenue is simple: there is no system connecting the hotel guest to the restaurant reservation. Hotels and restaurants, even within the same ownership group, typically operate on separate tech stacks, separate P&Ls, and separate operational teams. The hotel's PMS does not talk to the restaurant's reservation system. The front desk staff may not even know which restaurants are owned by the same parent company.

This is an organizational problem masquerading as a technology problem. The data exists. The guest is identified. The restaurants have availability. What is missing is the connective tissue between check-in and dining decision.

The Mixed-Use Multiplier

The portfolio advantage is even more pronounced for operators in mixed-use developments, food halls, and destination districts. If you built or operate a development that includes a hotel, multiple dining concepts, retail, and entertainment, every guest who checks in is literally surrounded by your revenue opportunities. Yet the standard approach is still to hand over a room key and hope the guest wanders into the right places.

A 300-room hotel in a mixed-use development with six dining concepts should be routing 150 to 200 guests per night into those concepts. Instead, most capture 30 to 50, and the rest walk across the street to the restaurant with the better Google rating.

Five Strategies to Close the F&B Revenue Gap

Closing the gap between what your guests spend on dining and what you capture is not a single-initiative problem. It requires a coordinated approach across operations, technology, and guest communication. Here are five strategies that move the needle, ranked roughly by implementation complexity.

1. Capture Dining Preferences at Check-In

The single most impactful change you can make costs almost nothing to implement. Add a brief dining preference capture to your check-in process. This can be as simple as three questions: What brings you to town? How many people are in your group? What kind of dining are you looking for tonight?

The key word is "tonight." You are not asking for abstract preferences. You are asking about their immediate need. This accomplishes two things. First, it signals to the guest that you have dining options worth considering. Second, it gives your team (or your technology) the data needed to make a relevant recommendation before the guest defaults to Google.

Properties that capture dining preferences at check-in report a 15 to 25% increase in on-site or affiliated dining within the first 90 days of implementation. The data is thin because so few properties do it, which itself tells you something about the state of F&B guest routing.

2. Shift from Passive to Proactive Recommendations

The traditional model waits for the guest to ask. The high-capture model pushes a recommendation before the guest starts searching.

Timing matters enormously here. A dining recommendation delivered at 4:30 PM, while the guest is back in the room freshening up, is worth ten times more than the same recommendation delivered at noon. The decision window for dinner is roughly 4:00 to 6:30 PM. Any communication strategy should be concentrated in that window.

This does not require sophisticated technology. It can start with a well-timed text message from the front desk, a push notification through your hotel app, or even a physical card slipped under the door in the afternoon. The mechanism matters less than the timing and relevance.

3. Create Preferential Access for Hotel Guests

Guests are more likely to dine at your affiliated restaurants if doing so provides a tangible benefit they cannot get elsewhere. This does not need to be a discount. In fact, discounting often devalues the experience and trains guests to expect lower prices.

More effective approaches include priority reservations (especially for high-demand time slots), complimentary appetizers or welcome drinks, chef's table or off-menu experiences, and guaranteed seating without a wait. These benefits cost the restaurant very little in marginal cost but create a meaningful perception of exclusivity for the guest.

The psychology here is important. You are not bribing the guest to eat at your restaurant. You are giving them a reason to choose your restaurant over the unknown option on Google, by removing the friction and adding something they cannot get anywhere else.

4. Build a Venue Passport or Discovery Program

Gamification works in hospitality for the same reason it works everywhere else: people enjoy the feeling of progress and completion. A venue passport that tracks visits across your portfolio and rewards completion with escalating perks is a proven mechanism for driving cross-property trial.

The structure is straightforward. Guest receives a digital passport at check-in. Each visit to a portfolio venue earns a stamp or checkpoint. At defined milestones (3 of 6 venues visited, for example), the guest unlocks a reward. The reward can be a premium experience, a gift, or credit toward a future stay.

This approach works especially well for multi-night stays, where the guest has enough time to visit multiple venues, and for hospitality groups with diverse dining concepts that appeal to different occasions.

5. Collect and Deploy Strategic Reviews

Here is a strategy that most hospitality groups overlook entirely: using your hotel guests as a review generation engine for your restaurant portfolio.

Your hotel guests are, by definition, people who travel, dine out, and have disposable income. Many of them are active reviewers on Google and TripAdvisor. When they dine at your affiliated restaurants and have a positive experience, they represent a high-quality review opportunity that most restaurants never tap.

The key is selectivity and timing. Do not ask every guest to review every venue. Pick the venue that needs reviews most (lowest review count or lowest rating in your portfolio), identify the guests who had the best experience (high spend, long visit, positive interactions), and ask once, the morning after, with a direct link. One well-timed ask converts at 8 to 12%. Spray-and-pray approaches convert at less than 1%.

Over the course of a year, a single 200-room hotel can generate 1,000 to 2,000 new reviews for its affiliated restaurant portfolio through this approach. For restaurants in competitive markets where Google reviews directly drive covers, that review volume has a measurable revenue impact.

The Technology Stack for Guest Routing

Implementing the strategies above at scale requires technology that connects the hotel guest journey with the dining decision. Here is the stack that matters.

PMS Integration

Your property management system is the source of truth for who is in the building, when they arrived, and when they are leaving. Any guest routing system needs to connect to the PMS to trigger timely recommendations. Properties with PMS-to-POS integration report 50% faster checkout and 15% more F&B package sales, according to hospitality technology benchmarks.

Digital Wallet Infrastructure

Push notifications through native wallet passes (Apple Wallet, Google Wallet) are emerging as the highest-engagement channel for guest communication. Unlike hotel apps (which require a download and have single-digit adoption rates) or SMS (which costs money per message and feels intrusive), wallet-based notifications are free, appear on the lock screen, and can be triggered by location proximity.

The adoption curve here is steep. Guests save a wallet pass in 15 seconds with no app download and no account creation. The pass then serves as a persistent communication channel for the duration of the stay.

AI Personalization Layer

The recommendation engine needs to be smarter than a static list of restaurants. It needs to factor in trip purpose, group composition, dining preferences, day of stay, time of day, and real-time availability. This is where AI adds genuine value, not as a gimmick, but as the logic layer that matches the right guest to the right venue at the right moment.

A business traveler on a one-night stay should get one great dinner recommendation. A family on a four-night vacation should get a curated sequence across multiple venues. An anniversary couple should see completely different options than a group of friends. Static recommendation lists cannot handle this complexity. Dynamic, preference-aware systems can.

Where Regulr Destinations Fits

Regulr Destinations is one solution designed specifically for this use case. It combines a check-in quiz, AI-powered recommendation sequencing, wallet-based push notifications, venue passport gamification, and strategic review collection into a single managed platform for hospitality groups that operate hotels and restaurants in the same markets.

The approach works like this: a guest scans a QR code at check-in, completes a 30-second preference quiz, and receives a branded wallet pass. The system then delivers timed, personalized recommendations that route the guest toward the group's owned venues throughout their stay. On the way out, it collects a targeted Google review for the venue that needs it most.

It is not the only way to solve this problem. Some hospitality groups build internal solutions using their existing CRM and messaging infrastructure. Others piece together point solutions for digital concierge, loyalty, and review management. The important thing is that the problem gets solved, because the cost of inaction is measurable and growing.

Measuring Success: RevPAG and Beyond

If you are going to invest in closing the F&B revenue gap, you need a measurement framework that goes beyond traditional hotel metrics. RevPAR tells you about room revenue. It tells you nothing about whether your guests are eating at your restaurants.

RevPAG: Revenue Per Available Guest

RevPAG (Revenue Per Available Guest) is the metric that captures total guest spending across all revenue centers, including rooms, F&B, spa, retail, and ancillary. According to Agilysys's 2025 hospitality technology survey, 82% of hotel executives recognize RevPAG as a valuable metric for their business. But only 52% feel prepared to measure and act on it (Agilysys, 2025).

That 30-point gap between recognition and readiness tells you everything about the current state of the industry. Hotel operators know that total guest revenue matters. They just do not have the systems to track it.

Building a RevPAG Dashboard

A practical RevPAG measurement framework includes these components:

F&B Capture Rate by Meal Period. Track the percentage of in-house guests who dine on-site or at affiliated restaurants for breakfast, lunch, and dinner separately. Set benchmarks and measure weekly improvement.

Cross-Venue Visit Rate. For portfolio operators, track how many hotel guests visit more than one affiliated venue during their stay. A guest who visits two or three venues is worth exponentially more than a guest who visits one.

Guest Routing Attribution. When a guest visits an affiliated restaurant, was it organic discovery, a concierge recommendation, a push notification, or a venue passport incentive? Understanding the channel mix lets you optimize spending and effort.

Incremental F&B Revenue. Compare total F&B revenue at affiliated venues before and after implementing guest routing initiatives, controlling for seasonal trends and market conditions. This is the bottom-line metric that justifies the investment.

Review Generation Rate. Track the number of new Google and TripAdvisor reviews generated per hotel guest per stay. Benchmark against the pre-intervention baseline and measure the impact on review scores and ranking.

The North Star Metric

If you can only track one number, track this: the percentage of hotel guests who spend at least one dollar at an affiliated F&B venue during their stay. Call it your "portfolio activation rate." For most hospitality groups today, this number is between 8 and 18%. The achievable target, based on properties that have implemented active guest routing, is 30 to 40%.

Moving your portfolio activation rate from 15% to 35% roughly doubles your F&B capture, which for a mid-sized hospitality group with 500 rooms and six restaurants can represent $2 to $4 million in annual incremental revenue. That is not a projection based on optimistic assumptions. It is the arithmetic of routing guests who are already in your building to restaurants you already operate.

The $43.8 billion F&B revenue gap is not going to close itself. But for hospitality groups that own both sides of the transaction, that is the point. The gap is someone else's problem only if you let it be. The guests are already yours. The restaurants are already yours. The only thing missing is the connection between the two.

Brian Boesen

Hospitality Revenue Strategist

I spent 8 years running two restaurants in Denver before joining Regulr. I write about customer retention because I've lived every mistake in this guide.

Regulr Destinations turns hotel check-ins into revenue events for your portfolio. See how it works