Hotels increase revenue without increasing occupancy by growing the value of each guest instead of the number of them: capturing every inbound enquiry, measuring the quality of answered calls and making relevant offers before and during the stay. With occupancy flat and payroll rising faster than revenue, per-guest revenue is where margin now lives.
England’s hotel room occupancy reached 83% in June 2026 and 76% across the first half of the year, broadly level with 2025. Average daily rate rose by 3%, but RevPAR rose by only 1%. Those are VisitBritain’s latest England occupancy figures, published on 30 July 2026. Demand has not disappeared; filling more rooms has simply become a less reliable route to better results. That puts a different question in front of independent hotels: once a guest has chosen you, how much value are you creating from the relationship?
The answer starts with the phone call. ääni Voice is live and built to make sure that conversation is answered and recorded in the property’s live PMS context. From there, the natural commercial progression is to understand what good conversations look like, help teams improve them and make timely offers that suit the guest instead of broadcasting the same message to everyone. ääni Coach is in build; ääni Upsell and ääni Procurement are on the roadmap. The direction is one platform built around the guest relationship, rather than a collection of disconnected tools.
Why revenue growth no longer comes from more room nights
Hotel performance has long been described through occupancy, ADR and RevPAR. They remain useful measures, but they do not tell an owner what the property keeps after labour, distribution, utilities and operating costs.
That is why total revenue per available room, or TRevPAR, deserves more attention. It takes in room revenue alongside food and beverage, spa, parking, events and other guest spend. A property can report a strong room rate while leaving profitable parts of a stay unasked for, unmeasured or unavailable at the point a guest is ready to buy.
HotStats’ UK hotel analysis, published on 3 June 2026, found that TRevPAR was up 2% in the first quarter of the year. Labour costs, however, were rising at nearly twice that rate. The research also noted growing pressure from water costs, while booking costs continued to track top-line revenue closely. It makes for an uncomfortable calculation: more revenue does not automatically mean more profit.
The pressure is clearer when set against the wider operating environment. The Insolvency Service’s Business insolvency demography, 2015 to 2025, published on 19 June 2026, recorded 268 insolvencies per 10,000 businesses in accommodation and food services during 2025, against an all-sector rate of 116 per 10,000. Accommodation and food services has had the highest rate among major sectors in every year of the available series. The official dataset is worth reading, because it shows why generic advice about selling more rooms can feel detached from how operators are working. The useful response is to make every confirmed booking, inbound enquiry and stay more commercially complete.
What is TRevPAR, and why is it replacing RevPAR?
RevPAR measures rooms revenue per available room. TRevPAR measures total revenue per available room, including revenue beyond the bedroom.
The difference can be material. A room booked at a high headline rate through an expensive distribution channel may contribute less profit than a slightly lower-priced direct booking where the guest also buys breakfast, parking, a late check-out or a table reservation. HotStats’ Q1 analysis put the point plainly: “Ancillary is where the margin lives in UK hotels.” RevPAR still has a role; TRevPAR gives it context.
For an independent property, TRevPAR is also a more practical way to think about the calls a team already answers. A caller asking about a room might later need dinner, a spa treatment, luggage storage, parking or a flexible arrival. A conversation that ends once the room is booked may be operationally efficient, but it leaves much of the guest’s intent unexplored. The next question is how to recognise those opportunities without turning every staff member into a scripted salesperson.
What an answered call becomes once you measure it
A hotel’s phone line is often treated as a simple service channel: answer it, resolve the request, move on. That misses what an answered call contains. It shows what guests are uncertain about, which questions recur, where booking confidence drops, what services people ask for and where staff need better information or support. The call is therefore a source of commercial intelligence.
Many managers know this instinctively. They may listen back to a few calls, notice a recurring issue at reception or hear a good example of a team member handling a difficult request. The limitation is coverage: a handful of memorable interactions can shape a manager’s view of a much larger body of work. Technology can widen that coverage, and the more interesting question is what it does with the insight.
Avraham Kluger and Angelo DeNisi’s review, The Effects of Feedback Interventions on Performance, offers a useful warning. Published in Psychological Bulletin in 1996, it covered 131 studies, representing 607 effect sizes and 23,663 observations. Feedback improved performance on average, yet more than a third of the effects were negative. The authors observed that feedback interventions had been producing negative effects for decades, and that those effects had been largely ignored.
The finding is easy to understand in a hotel context. Feedback helps when it focuses someone on a clear task: confirm the booking detail, ask about a relevant service, explain a policy more clearly or recognise when a guest needs a colleague. It harms when it feels like a judgement of the person. A manager who tells a receptionist that their score is lower than everyone else’s may create defensiveness, while a manager who can point to one call, one moment and one alternative phrase has a far better chance of changing behaviour.
That is the commercial case for measuring calls properly. ääni Coach, currently in build, is intended as a performance layer that can assess interactions against a property’s own standards and surface coaching points with relevant examples. The aim should be better hospitality practice, not a surveillance culture.
A quality programme that produces verdicts will cost a property performance rather than gain it.
How do you measure the quality of a call your team answers?
A useful call-quality programme needs four things:
- Coverage that reflects the whole body of work, rather than a tiny convenience sample
- Service standards that the property has defined for itself
- Specific examples that show what happened in a real interaction
- Clear boundaries for when a request should be handled and when it should be handed to someone with more authority, knowledge or time
The fourth point is the one properties tend to miss. Quality depends on whether the guest gets the right outcome, not on how long a system or a staff member keeps a caller talking. A reservation call may need live availability confirmed and the booking taken accurately; a detailed anniversary request may need a transfer to someone who can shape the experience properly; a complaint may need quick recognition that the issue requires ownership rather than another scripted answer.
Our guide to AI receptionists and recovered revenue explains the revenue case for answering the calls that would otherwise go unanswered. The next layer is making sure the calls you do answer improve over time.
Which guests are worth an upgrade offer
Most hotel upselling is poorly timed because it begins with the offer instead of the guest. A generic message about a room upgrade sent to every reservation might create some revenue. It can also train guests to ignore messages, put pressure on teams to honour unsuitable requests and make a considered property feel automated in the least flattering sense. The more productive question is: who is most likely to value this offer now?
A 2025 academic study gives a rare evidence-based answer. Mohammed and Denizci Guillet’s Beyond the Bid Amount: An Empirical Analysis of Online Upselling of Hotel Rooms analysed longitudinal hotel upsell-bidding data using logit regression and propensity-score matching. It found that repeat guests and long-haul guests were more likely to accept an upsell bid, while Saturday-night stays and longer stays were less likely to do so. Earlier bid timing, a greater number of bids and higher average bids were each associated with higher acceptance odds.
The study also found that decisions informed by those factors increased revenue per customer by 48% for rooms, 84% for amenities and services and 42% overall. Those figures came from one hotel’s data, so they should not be presented as an industry benchmark. They do make an important point: relevance has a measurable commercial value.
Guest or stay attribute | What the study found | Practical implication |
|---|---|---|
Repeat guest | More likely to accept an upsell bid | Start with known preferences and past stays |
Long-haul guest | More likely to accept an upsell bid | Focus on convenience, comfort and arrival ease |
Saturday-night stay | Less likely to accept an upsell bid | Consider experience-led offers rather than room upgrades |
Longer stay | Less likely to accept an upsell bid | Avoid assuming a longer booking means a bigger budget |
Earlier bid timing | Higher acceptance odds | Pre-arrival contact can be more effective than arrival-day selling |
Room revenue per customer | 48% higher in the study | Targeted room upgrades can add value |
Amenities and services revenue | 84% higher in the study | The strongest opportunity may sit outside the bedroom |
Total revenue per customer | 42% higher in the study | Guest value is broader than the room rate |
This is where a PMS record becomes useful beyond administration. It holds the raw context: room type, stay length, booking timing, previous stays and sometimes stated preferences. The commercial task is to turn that context into a relevant invitation. A guest arriving from a long-haul journey may value an early check-in or a smoother arrival; a regular who repeatedly books breakfast may want a package that removes a decision from their morning; a family booking may need practical help more than a premium room category. The best offers feel less like selling and more like good anticipation.
ääni Upsell is on the roadmap to support proactive engagement before, during and after a stay. Its future role should be to help properties use their own guest information to make more timely, relevant contact. It is planned as a subscription model with no commission on revenue generated, though its commercial worth will depend on the quality of the property’s offers and guest data, not on the volume of messages sent. If your PMS already holds the signals that distinguish one stay from another, why offer everyone the same upgrade?
Why depth of AI use beats adoption
The hospitality sector is not waiting to discover AI. The more useful debate is whether the tools in use are connected to the work that needs doing.
The ONS report Artificial intelligence in UK businesses: 2023 to 2026, published on 20 July 2026, found that AI use among UK businesses with 10 or more employees rose from around 12% in late 2023 to around 35% in June 2026. The analysis uses the Business Insights and Conditions Survey, Wave 159, conducted between 15 and 28 June 2026, with 38,637 responding businesses and a 26.7% response rate.
Adoption is real. Depth is more uneven.
Among businesses already using AI, the average number of AI technologies used rose only from around 1.4 to 1.6. Just 10% described their use as extensive. Nearly 60% said they use AI to improve operations, while 63% reported no change in headcount as a result. That last finding deserves attention, because the strongest use case is helping people spend less time on repeatable work that gets in the way of serving guests well.
Accommodation and food services businesses were among the industries most likely to access AI through free-to-use software. That is understandable; free tools are easy to try, and experimentation has value. But a collection of isolated tools rarely holds the context required to confirm a booking, learn from a conversation, understand a guest’s history or make an appropriate offer. A hotel can use AI every day and still have no connected picture of how its guest interactions are performing.
That distinction is why ääni is built as a revenue recovery and growth platform for hospitality. ääni Voice deals with the live inbound conversation. ääni Coach is being built to turn interaction data into more useful coaching. ääni Upsell is on the roadmap to support proactive guest engagement. Each part has a different role, and the intended value is continuity: the hotel should not have to recreate the same guest context in a separate tool every time a new commercial opportunity appears. The architecture only earns its keep if that context stays accurate. Our explanation of what happens between a phone call and the PMS looks at why live data is needed when a conversation turns into a booking or request.
What the rules already decide about outbound guest contact
Proactive guest contact can create value, and it can also become intrusive quickly. The law is useful here because it points hotels towards better commercial behaviour. A property should know what type of communication it is sending, why it has the guest’s details, what consent or lawful basis applies and how a person can stop receiving contact.
The Information Commissioner’s Office is clear on several points. Under PECR, live marketing calls must be screened against the Telephone Preference Service and Corporate Telephone Preference Service, as well as an organisation’s own do-not-call list. Automated pre-recorded marketing calls require specific prior consent. The soft opt-in applies to email and text marketing in defined circumstances; it does not create a general permission for marketing calls. The ICO’s direct-marketing guidance should be the starting point for any property designing an outbound programme.
Service communication is different from marketing communication, and the boundary needs to be decided before messages are sent. Confirming an existing arrival time, dealing with a service request or helping a guest who has asked for information may have a different purpose from promoting an upgrade or encouraging a repeat stay.
The price also has to be clear. The CMA’s price-transparency guidance, CMA209, was published on 18 November 2025 and updated on 7 January 2026. It covers mandatory charges, drip pricing and partitioned pricing under the Digital Markets, Competition and Consumers Act. The CMA guidance is relevant to any hotel offering paid extras through a guest journey. The practical standard is straightforward: if a guest sees a paid add-on, they should understand the full price, what it includes and whether it is optional, and if they receive a marketing message, they should have a clear route to opt out. Those principles support trust as well as compliance.
Can a hotel legally make AI outbound calls to guests in the UK?
A hotel can make some outbound calls, but the legal position depends on the purpose of the call and how it is made. A service call about an existing booking is different from a marketing call promoting a new offer. Under PECR, automated pre-recorded marketing calls require specific prior consent, while live marketing calls require screening against the TPS, CTPS and internal suppression lists.
The ICO frames the rules around direct marketing, consent, objections and privacy rather than around whether a person or software places the call. Hotels should obtain advice for their own circumstances and use published ICO guidance when designing contact policies.
A written policy can save a great deal of uncertainty later. It tells the team which communication is service-led, which is marketing-led, who owns approvals and how guest preferences are recorded.
Why the guest relationship is the last channel you own
Distribution is becoming more automated, which makes the conversations a hotel controls more valuable.
On 7 August 2026, Google confirmed to Skift that it had begun a limited US test of agentic hotel booking in AI Mode. Booking Holdings was among the first partners, with Expedia, Marriott, Wyndham and IHG also collaborating. Skift’s report does not prove how booking will work in every market, but it does show that agent-mediated booking has moved into a real product test.
For independent hotels, a booking agent may simply become another way a guest finds a room. It cannot replace the detailed knowledge a property builds through direct interaction: why someone is travelling, what would make their arrival easier, whether they have stayed before, what went wrong last time or whether they are likely to return.
VisitBritain forecasts 45.5 million inbound visits to the UK in 2026 and £35.7 billion in visitor spend. That is 4% growth in visits and 7% growth in nominal spend compared with 2025. Long-haul visits are forecast to rise by 5%, with spend up 8%. The 2026 inbound forecast supports the same point seen in hotel performance data: spend is growing faster than guest volume. The relationship after a booking can therefore be as commercially important as the booking itself.
There is also a longer-term link between guest experience and pricing power. In Cornell’s 2012 Hospitality Report, Chris Anderson matched ReviewPro reputation data with STR performance data. A 1% increase in online reputation score was associated with up to a 0.89% increase in ADR, a 0.54% rise in occupancy and a 1.42% rise in RevPAR. The study is not current market benchmarking, but it remains useful evidence that how guests describe a stay can influence what a hotel can charge. The post-stay conversation can support review generation, repeat bookings and a better understanding of what the property does well.
What happens to direct bookings when AI agents do the booking?
AI booking agents may make it easier for travellers to search, compare and complete some hotel bookings without visiting a hotel website first. Google’s limited US test is evidence of a live experiment, not a settled distribution model.
Hotels can still strengthen direct value through accurate availability, useful guest information, clear pricing and better pre-arrival and post-stay relationships. In the European Economic Area, Booking.com removed or waived parity requirements under the Digital Markets Act, meaning eligible properties may offer different or better prices and conditions on direct channels. The European Commission’s notice applies to the EEA; it should not be treated as a UK-wide parity change.
The more practical question is whether the hotel has a connected way to make each guest relationship more valuable once the booking has happened.
Where the remaining growth sits
The opportunity sits inside guest interactions that already take place and are too often answered, resolved and forgotten.
Flat occupancy, rising labour costs and modest top-line growth make per-guest value a more useful commercial focus. That begins with making sure every call is handled. It continues when a property can recognise quality, support its team with useful coaching and make offers that fit the guest and the moment. Good information should travel with the guest, so the booking informs the arrival, the arrival informs the stay and the stay informs the next conversation.
Explore how ääni works and use the missed-call revenue calculator to establish the revenue already being left in the inbound channel. Once that number is visible, the question becomes more interesting: how much more could each answered conversation be worth?
Frequently asked questions
How can a hotel increase revenue without increasing occupancy?
Hotels can increase revenue without raising occupancy by improving revenue per guest. That can include recovering missed booking enquiries, increasing direct conversion, offering relevant upgrades before arrival, promoting ancillary services during a stay and encouraging return visits after checkout. VisitBritain reported England hotel occupancy at 76% for January to June 2026, level with 2025, so improving guest value can be more practical than relying on more room nights.
What is TRevPAR, and why is it more useful than RevPAR?
TRevPAR means total revenue per available room. It includes rooms, food and beverage, parking, spa, events and other guest spend, while RevPAR measures room revenue alone. TRevPAR gives a fuller view of commercial performance because a hotel can fill rooms at a healthy rate while missing profitable ancillary revenue or carrying high distribution and labour costs. It helps owners assess whether revenue growth is also contributing to margin.
Which guests are most likely to accept a room upgrade offer?
A 2025 study of hotel upsell-bidding data found that repeat guests and long-haul guests were more likely to accept upgrade offers. Earlier offer timing, a greater number of bids and higher average bids were also associated with higher acceptance odds, while acceptance was lower for Saturday-night and longer stays. These findings come from one hotel’s data, so hotels should test their own guest patterns before treating them as universal rules.
Can a hotel make AI outbound calls to guests in the UK?
A hotel can make outbound calls, but marketing calls are subject to PECR and data-protection rules. Automated pre-recorded marketing calls require specific prior consent. Live marketing calls must be checked against the Telephone Preference Service, Corporate Telephone Preference Service and the hotel’s own do-not-call list. Service calls about an existing booking may be treated differently, though hotels should use ICO guidance and obtain appropriate advice before automating guest contact.
How do you measure the quality of the calls your team answers?
A strong call-quality process assesses a broad and representative set of calls against the property’s own service standards. It should identify practical behaviours, such as whether availability was confirmed accurately, a guest’s request was understood or a complex issue was handed to the right person. Feedback is most useful when tied to a specific interaction and a clear next action, rather than to broad ratings or comparisons between team members.