They were not on a city break. They were here for a wedding two miles away, and your property was the best place to stay within easy reach of the church, the reception and the people they had come for. If you are already operating you will have hosted that guest more times than you could count and certainly more times than you are aware.

A funeral. A christening. A milestone birthday. Grandparents arriving to meet a new grandchild. A family coming together for Christmas because the house they grew up in no longer has the room. The odds are you have never once thought of them as a type of demand with a name and a logic of its own. That is the whole problem, and it is worth a few minutes of your attention.

The name is VFR, Visiting Friends and Relatives. It covers anyone who travels to be near someone they know, for an occasion or simply to visit, and who needs a base of their own close by. Not just a bed, but somewhere the family can retreat to, recharge, and feel at home, with the comfort and privacy of their own space, while staying within reach of the people and the occasion that brought them. If you already operate, you will start to see this demand throughout your own booking history the moment you have a name for it. If you are still searching for your first property, it matters more again, because this is one of the segments you will either buy into or miss entirely, depending on where you choose to be. Either way the point is the same. The demand is not new. It has simply gone mostly unnamed, and what goes unnamed goes unrecognised, unanticipated, and uncourted.

It stays hidden for a simple reason. The tools most operators reach for to justify a property do not actually measure demand. AirDNA, the platform dashboards, your channel manager, the comparable revenue you gather when you appraise a location. Every one of them is a picture of supply, of what the properties already in a market happen to be achieving. They show you what is being captured, not what is there to be captured, and the two are not the same thing. Existing supply is a poor proxy for underlying demand at the best of times, and it is wholly silent about quantifying a segment nobody is deliberately serving. On the screen, the wedding guest and the weekend tourist can seem like the same booking. They are not. So the segment never appears in the data you look at, not because it is too small to matter but because the instruments you would typically reach for do not show demand at all, and certainly not VFR. In the previous Brief we set out the six Stage 1 research sections, and we did so without leaning into supply or accessibility.

The data does exist though, and VFR is a real thing, a recognised segment. VisitBritain and VisitEngland have counted VFR as one of the main categories of travel for years, nationally, in public statistics that anyone can open. It is known, measured, and entirely uncontroversial to the people whose job is the visitor economy. It is hidden only from the operator, and only because of where the operator looks. Ask yourself honestly, have you, when researching a property, ever opened a VisitEngland dataset? Your research universe is far more likely to be Rightmove and the portals, AirDNA and the booking platforms. The national visitor statistics, where this segment has been sitting in plain sight all along, are simply not part of the property buyer’s habit. The demand is not invisible because it is concealed. It is invisible because no one in the property world knows to seek it out, or knows where it is recorded.

A segment you cannot see is a segment you cannot price. You cannot position for it, you cannot build for it, and you cannot court it. And this is a segment well worth courting, because these are guests genuinely seeking a home from home, somewhere that accommodates their whole party comfortably and lets them stay together near the people they came for. Most operators only ever picture two kinds of guest, the contractor and the tourist, and they build and price for those two.

But the tourist needs somewhere worth touring to, and the contractor needs a project worth travelling for, and neither is present everywhere. VFR is. It is generated by residents rather than by attractions or projects, so it exists in every town, city and conurbation in the country. Nor is it a minor third category. In the national figures, visits to friends and relatives outnumber the entire business segment, contractors and corporate travel together, several times over. The one demand source present in every location is the one most operators have never thought to name, and if you do not understand the full suite of demand in a place you cannot build a product to attract the parts of it you would want. The demand is real, it is recurring, and it is being met without intention.

There is a reason this demand holds up when other demand softens, and a reason it concentrates far more heavily in some streets than in others. That reason is not in the visitor economy at all. It is in the housing stock and in the calendar of ordinary life. It is the mechanism behind the segment, and it is the subject of the next piece, for paid subscribers.

None of this means a deal is a bad place to start. We don’t turn our nose up at opportunities. Finding a below market value property is a genuine advantage and there is nothing wrong with the deal arriving first, provided what happens next is the right thing. Instead of reverse engineering a justification for a purchase you already want, you run a proper appraisal of demand and suitability, and you start that appraisal with demand.

The ideal is that you reverse this and you do the macro demand research first. Then you explore the micro areas within that macro to identify the specific target neighbourhood, or neighbourhoods, that the demand actually supports, and only then do you drill down until you know the streets. The below market value deal from the motivated seller comes after all of that, sought inside the area you have already proven. The discount still matters. It simply comes last, pointed at ground you have chosen on purpose, rather than first and pointed anywhere.

That work has a structure. We run it as the first stage of the McH and Co Demand Opportunity Methodology. Stage 1 is demand research, and it is the only thing this Brief is about. Supply, the competitor set already operating in a market, and accessibility, how easily guests actually reach a property, are real and they matter, but they are separate stages with their own discipline. Get the demand wrong and nothing the later stages do can rescue the decision.

In previous posts and many presentations I have introduced the three levels of research, Macro, Micro and Property. This post begins unpicking the demand and the demand drivers within them.

The three levels move from the wide field down to the single building. Macro is the city or the large visitor area. Liverpool or Manchester, or a region such as the Lake District or the Peak District. It is the broad demand base, the question of whether a place generates enough visitor demand to be worth your attention at all. Micro is the neighbourhood inside it. Salford within Greater Manchester, Anfield within Liverpool, Chelsea within London or Edgbaston within Birmingham. Property is how a specific asset sits inside that demand context, whether this building, on this street, can actually win the demand the first two levels have proven exists. Demand is examined at all three levels before a viewing is booked.

Our Stage 1 identifies that demand through six research sections. Each answers a different question, and together they describe the demand a property could be buying into.

• The Visitor Economy section establishes the size and shape of the visitor base, how many people come, whether they stay overnight or only for the day, why they come, and which way the trend has moved over recent years.

• The Demand Driver Inventory names the specific reasons people need a bed in this place, the attractions, events, employers, hospitals, universities and venues that actually generate stays, rather than a vague sense that a town is popular.

• Demographics and Economic Fundamentals tests whether the local economy and population can sustain that demand and pay for it, and what kind of guest the area produces.

• Guest Origin establishes where the guests come from, how they travel in, and which feeder markets along the road and rail corridors a property can realistically draw from.

• The Seasonality Shape section maps when the demand arrives across the year and across the week, where it peaks and where it falls away, and what the demand floor looks like when nothing special is on.

• The sixth section is VFR Demand and Residential Housing Stock. It is the demand created not by the visitor economy at all, but by the residents themselves and the houses they live in.

That last one is the section most newcomers have never encountered or considered. It is also the one that does the most to explain why some unremarkable residential streets generate steady, recession resistant demand that no attraction or event can account for. It has a logic that is simple but undeniable, and it deserves its own treatment rather than a paragraph here. The next Brief will give VFR its name and discusses why most operators never see or consider it. For now it is enough to know that the demand model does not end with the visitor economy or blue collar contractors, and that the part most people miss is the part hiding in the housing stock.

If you treat the platform as weather rather than as a mechanism - you forfeit the only lever you actually have.

The mechanism has a name. It is the flywheel, and it has six steps. Each one is decided by something the operator controls.

It starts with the scroll. A guest opens the app, enters a date and a place, and is shown a grid of properties. Each listing’s hero image has perhaps half a second to interrupt the thumb on its way past. Most do not manage it. The ones that do have earned the first piece of attention, and the hero image is something the operator chose, shot, and sequenced. The scroll is won or lost before a word of the description is read.

Attention becomes engagement the moment the guest taps in. They read the rating, count the reviews, scan the photographs, and weigh the property against the others they have open. Every additional second is a signal, and the platform records it precisely and continuously. Engagement is not a mood. It is measured behaviour, and the behaviour is a response to what the operator has built.

Engagement earns placement. The platform gives better placement to listings that hold guests, because guests who engage are guests who book, and bookings are what the platform exists to produce. Placement is not awarded on anything the operator can assert independently. It is awarded on what the listing has already shown it can do. The ranking is a verdict on performance, not a reward for persuasion.

Placement produces visibility. A listing near the top of the results is seen by far more guests than one buried three screens down, and the gap is not linear. The difference between the first page and the third is the difference between a property that is in the market and one that is technically listed but effectively absent. Visibility is the platform handing the operator an audience, on the strength of the placement the listing earned.

Visibility produces bookings. More of the right guests see the listing, more of them book, and the calendar fills with less discounting and less chasing. This is also where the professional pulls away, because a listing the platform is pushing sits in front of more demand than it can hold. Demand that outruns supply is pricing power, and with the right dynamic pricing software that power becomes yield, the nightly rate floating upward as demand allows. The compound lands where it matters, in revenue and profit, not merely in occupancy.

Bookings produce reviews. Guests who received the experience the listing promised write the reviews that confirm it, and those reviews feed straight back into the next guest’s scroll, and into the Airbnb algorithm. A listing carrying a Guest Favourite badge and a near-perfect rating changes the behaviour of everyone who lands on it afterwards. The wheel has turned once, and the next turn begins from higher ground.

That is the flywheel, and the part most operators miss is that it turns in both directions.

For the professional, every step reinforces the next and the listing grows stronger than it was.

For the amateur, the same six steps run in reverse. The hero image is skipped, engagement collapses, placement decays, visibility shrinks, bookings dry, reviews stall, and the listing becomes structurally invisible. Same mechanism. Opposite outcomes.

Operators get lost in algorithm hacks because the hacks promise a shortcut around the wheel. There is no shortcut, because the wheel is not separate from the platform’s interests.

The platform exists to put the best property in front of the guest. Run the flywheel deliberately and you are aligned with it.

Chase hacks and you are trying to overtake the platform on a road the platform built. If that temptation is still in the room, the post that takes the snake oil salesmen’s waffle apart is The Airbnb “Algorithm Secret.”

So the lever is not access to a secret. It is the willingness to understand these concepts and ensure the mechanics work for you and your business, rather than leaving the platform as something that simply happens to you, in blessed ignorance, ever hopeful that something will turn your way.

The UK average sits at £31,550 a year for 2025, a figure lifted by London, which alone averages £41,292. These averages are where undifferentiated execution settles. The top five percent of homes is where deliberate execution arrives. Same platform. Same mechanism. The only variable is the operator.

If your bookings have stalled or you are struggling to get the flywheel started use the chat or join me on a future live session.

An average is a single number drawn from a wide range of outcomes that exist. In most local markets the distribution of SA revenues is not symmetrical. It leans. A cluster of properties sit in the body of the distribution. A thin tail of strong performers stretches out above them. A lower tail drags out below, made up in part of the listings that trade only for compression events and sit idle the rest of the year, and how far that tail extends varies from market to market. The arithmetic mean does not sit at the plumb centre of that picture. It is dragged upward by the few who perform very well and held down by the weight of part time and amateur operations. It typically lands above most of the market and well below what disciplined professional operation can reach. It describes the typical property poorly and the achievable not at all. This is true at every level. UK average, regional average, city average, postcode average. Wherever the reader is looking, the average is a composite, and the composite hides the one thing the operator most needs to see, which is how far apart the typical result and the achievable result really are.

Aspiring operators treat the local average as an answer.

It is not an answer.

It is some derivation of the arithmetic mean of the data set, no more and no less.

Each software tool has slightly different calculations to arrive at their “forecasts”. It does not tell the operator what they should aim for or indeed what they could achieve.

It does not even describe the available demand. It describes only how well, or how poorly, the existing supply is managing to appeal to and access that demand.

That is the whole of what the number is. It records what that supply captured. It cannot record the demand the supply never reached. So it can tell the operator that the demand was at least this large. It can never tell them how much larger the demand really was. In a market where most of the supply is amateur, most of the demand is being accessed badly or not at all. Reading the average as anything more is fabricating significance the number does not carry.

So the local average is the floor, not the ceiling, and the gap between the two is wider than most aspiring operators allow themselves to imagine. For a serious operator the average is the level the existing supply has already cleared, not the limit of the demand that is there. It is produced by software that does not yet know what it is missing. Reading it as the achievable target is the entry-level error in SA, and it is the same error whether the reader is looking at Liverpool, Leeds, Bristol, Newcastle, or anywhere else

The opposite error costs just as much. Looking at the highest performers and assuming you can match them, without interrogating what they do and how they do it, is just as dangerous. The floor is not a target you settle for. The top of the market is not a target you can simply adopt. The work sits in the distance between the two.

The piece that explains why the software forecast routinely lands at the local average, and rarely above it, is The Numbers Trap, in the Capability Gap Series for paid subscribers.

The interesting question is what happens on the same property when an operator commits the additional £20,000 of capital that the SA operating model requires. Furniture, design, dressing, the fit-out layer that turns a furnished house into a hospitality product. Lets assume the the SA route asks for £73,620 of cash in rather than £53,620. £20,000 for furnishings and amenities etc. The question is what comes back, and the honest answer depends entirely on what the operator does with the asset.

At average performance, the answer is uncomfortable.

The software-forecast revenue for this property, derived from AirDNA local comparable data, is £23,700. That figure is correct. It is what the property would produce as SA in the hands of an operator running at the local average. We have modelled the cost structure at that revenue level using our knowledge of the local operating cost base, self-managed, with no outsourcing or management commission applied. The most favourable assumption available. The result is £2,515 of net profit and a 3.4 percent cash-on-cash return.

Average SA isn’t better than BTL.

The same property. £20,000 more capital committed. Materially more work, more operational complexity, more capital exposure. And the same return as the simpler route. That is the position many aspiring SA operators could walk into without realising it. The revenue number on the spreadsheet looks like progress. It is a real business producing real cash. But it is producing the cash profit that BTL would have produced anyway, with significantly more demanded of the operator.

The interesting territory begins above average as the table below demonstrates:

Assumptions:

• BTL: light refurbishment, standard area rent.

• SA capital - add £20,000 for fit-out, design, and dressing. Assuming all invest with the hope and expectation to deliver the best product

• Average SA: modelled at the software-forecast revenue of £23,700, self-managed, no outsourcing applied.

• Better-than-average SA: modelled at £37,000 revenue, illustrative of the performance band between average and the top of the market.

• Excellent SA: using our actual revenue from an Anfield three-bed terrace, year ending 31 December 2025, with the benefit of a combined 60+ years of hospitality and business experience.

The Better-than-average column is the territory where the climb starts to pay. A property producing £37,000 in revenue, run with discipline but without the full hospitality capability stack, returns £12,484 of net profit and a 17 percent cash-on-cash return. More than three times the BTL outcome.

The Excellent SA column is what the same property would produce using our 2025 revenue: £51,000. £25,000 profit. 34 percent cash-on-cash. Nine times the BTL net cash.

No reader should simply assume they can replicate that figure. It is certainly possible but in our case it is the output of a combined six decades + of hospitality and business experience applied with discipline to a specific asset to deliver a product that would appeal.

The reader’s realistic ambition is to be above the floor. Everything above Average SA beats BTL by an increasing margin that justifies the choice to do SA. The further up the band an operator climbs, the larger the gap becomes. The Excellent SA column is the proof that the climb is worth taking but comes with the warning it requires consistently excellent execution.

The variable that decides where on the band any given operator lands is not the property. The property is the same in all four columns. The variable is the capability of the operator. No software model predicts £37,000 or £51,000 on this property, because the forecast is correct about the property at average performance and silent about what an above-average operator can produce on the same asset. The forecast cannot model what it cannot see.

The pieces on this publication that take the capability question apart are The Landlord Trap and The Capability Gaps That Kill SA Returns. The piece that explains why the software forecast is consistently wrong about the operators who climb above the average is The Numbers Trap, in the Capability Gap Series for paid subscribers.

BTL is the floor and there is nothing wrong with it. Average SA is not better. The territory worth aiming at begins above the average, and the only thing standing between an operator and that territory is the capability stack they have built before they walk into their first property. Get the capability right and the asset produces returns the spreadsheet cannot predict. Get the capability wrong and the £20,000 of extra capital is being asked to do work it cannot do.

Here is the phrase.

SA is a hospitality business that happens to own property.

The words are in that order on purpose. The property is not the business. The property is the asset the business uses to deliver its actual output, which is hospitality. Most operators carry the phrase the other way round in their heads, even when they would never say it out loud. They are running a property business that happens to host guests. The inversion is the cost. And the cost is paid every day, in every decision, from acquisition through to the moment the guest closes the door behind them on the last morning.

Once the order is corrected, three things change.

You buy differently. Not for yield. For demand. The property investor asks what the spreadsheet says. The hospitality CEO asks who the guest is, why they are travelling, and whether this property serves their reason for being there. The acquisition starts with the guest and ends with the property, not the other way round. The yield is an output of the decision, not the input.

You build differently. Not a furnished flat. An experience. The property investor asks what the budget allows. The hospitality CEO asks how the guest will feel, what they will photograph, what they will remember, and what they will tell their friends. Design becomes conversion architecture rather than decoration. Every choice in the property is asked to earn its place against the experience the guest is paying for.

You run differently. Not a property. A business. The property investor asks who can manage the property. The hospitality CEO asks which capabilities the business needs to own and which can be outsourced once the standards are set. The operating model is built around the experience and the standards, not around the convenience. Outsourcing without standards is not outsourcing. It is abdication.

The reframe is not optional. The market has already sorted along the line it draws. The £28,500 UK average revenue per listing is what the property-business version of SA produces at scale. The professional cohort produces at least twice that, on the same kind of stock, in the same kind of locations, often on the same streets. They are not working harder. They are running a different business entirely.

If you recognise yourself on the wrong side of the inversion, the piece on this publication that walks through what carrying the property-business mental model costs you is The Landlord Trap. The piece that catalogues the specific places the cost shows up on the spreadsheet is The Capability Gaps That Kill SA Returns. Read either one, or both, in that order.

Six words. The order of the words is the order of the priorities. Get the order right, and everything else in the business gets easier. Get it wrong, and nothing else works hard enough to compensate.

What is worth more thought is the next acquisition.

Start with the competitive picture. More than 70 percent of UK serviced accommodation listings are one or two bed. In London, 81.5 percent of listings are one or two bed and 65 percent of all listings are single bedroom. The market most aspiring operators enter is also the most crowded segment of that market.

Now layer in the operator picture. 87 percent of SA operators are running amateur operations by the threshold Airbnb itself applies internally. Stack that figure on a one or two bed segment and the crowding sharpens. It is not professional crowding. It is amateur crowding, fighting voids and empty midweek nights with rate cuts, then absorbing the consequences in their reviews and their margins. A professional operator in a three bed and above is not the same competitive set. They are in a different market.

The value equation comes into focus when you frame it the way the guest actually frames it. A five bed property at £600 a night is £120 a room with shared living, kitchen and dining space included. Upscale hotels in the same locations are perhaps £200 plus per room before a single one of those shared spaces enters the calculation. During a compression event (a concert, a match, a conference, anything that strips local supply) the price ceiling moves higher and your flexibility within it widens. Larger properties let you make the comparison the guest is already making in their head, and they let you make it favourably. One and two beds rarely do. They are competing with hotel rooms on a like-for-like basis where the hotel has economies of scale, brand trust, and a loyalty programme working against you.

Our portfolio is built around three bed and above for all of these reasons. The results bear the thesis out, consistently, across our properties.

The honest trade-off is capital. A three bed and above costs more to acquire and more to fit out than a one bed flat, and the financing arithmetic is harder. Anyone telling you otherwise is selling something. The point is not that the capital requirement disappears. The point is what the capital requirement buys you.

It buys you a less competitive arena. It buys you a guest profile (family reunions, groups, relocations, corporate teams, milestone celebrations) that books with intent rather than browsing on price. It buys you a price ceiling set by hotel suites and four-star group rates rather than by hundreds of other one-beds within five miles. And it buys you a value equation the guest can see for themselves without you having to explain it.

Three beds and above is where the value equation works in your favour. The capital is the price of admission. The arena is the return.

“What gets measured gets managed, even when it is pointless to measure and manage it, even if it harms the purpose of the organisation to do so.”

A caution, not a prescription. I added a line that nobody had yet written: what gets managed gets done. The three together form the sequence that professional SA operations are actually built on. Measure the right things. Manage them properly. Because what gets managed gets done.

This Brief applies Ridgway’s warning to the metric that SA operators most instinctively reach for. The one they track first, celebrate most publicly, and manage with genuine discipline and genuine cost to their own business.

Occupancy!

Where the instinct comes from

Most people arrive in serviced accommodation from a background where the void is the enemy. In residential letting, an empty property is a problem that is visible, immediate, and financially legible. You can see it. You can count the days. You can calculate exactly what it is costing you.

That instinct is rational in the business it was designed for. The problem is that it travels. Operators import it intact into SA and it takes up residence in the way they read their performance, set their priorities, and reach for their pricing. When bookings thin out, the first response is to soften the rate. When a gap appears in the calendar, the instinct is to fill it. At any price that fills it.

This is not laziness or ignorance. It is diligence, applied to the wrong measure. Ridgway’s precise harm.

If you want to understand where this mindset originates and what it costs structurally, The Landlord Trap covers the full argument. What I want to address here is the specific financial mechanism by which occupancy management works against the business pursuing it.

The busy fool problem

An operator achieving 90% occupancy at a suppressed nightly rate is not running a high-performing business. They are running a busy one. The two are not the same, and only one number reveals the distinction.

That number is RevPAR: revenue per available night. It combines your average daily rate and your occupancy into a single figure that tells you how much each available night in your calendar is actually generating, whether occupied or not. A property sitting at 90% occupancy with an ADR of £80 produces a RevPAR of £72. A property at 50% occupancy with an ADR of £175 produces a RevPAR of £87.50. The second property generates £7.50 more per available night, every night of the year. That is £2,737.50 in additional annual revenue, at lower occupancy, with less operational activity, and in all likelihood a better guest profile producing stronger reviews.

The first property is busier. The second is the better business.

This is not a theoretical distinction. The Financial Metrics posts cover the mechanics in full for anyone who wants to work through the numbers on their own portfolio. The point I want to make here is simpler: when an operator manages occupancy, they are pulling the most destructive lever available to them. Discounting to fill nights suppresses ADR. Suppressed ADR is not recovered when occupancy eventually rises. The business drifts toward a rate floor it did not choose and cannot easily escape.

There is also a guest quality dimension to this that rarely gets discussed. The rate at which you market your property is a signal. It tells prospective guests what category of experience to expect. Guests whose expectations are calibrated to a discounted rate are not the guests whose reviews justify a premium rate. The positioning erodes. The rate softens further. The business becomes something different from what was intended, gradually enough that the operator rarely notices the moment it changed.

What the hospitality CEO tracks instead

The hospitality CEO does not manage occupancy. They read it, as one of several instruments, in the context of RevPAR and ADR. When occupancy dips, the first question is not what can we reduce the rate to. It is what does the local market look like, what does our listing look like, and what does our review position look like. Price is the last lever, not the first.

Hitting the Target But Missing the Point covers a version of this error from a different angle: the tendency to optimise a visible metric while sacrificing the business logic it was supposed to serve. The parallel is exact. A property managed for occupancy is a property managed for the comfort of a full calendar, not for the performance of a profitable business.

Our properties do not achieve the highest possible occupancy. We operate deliberately below the occupancy ceiling because RevPAR, not nights filled, is the measure of revenue efficiency. Chasing the last few percentage points of occupancy typically requires pricing concessions that damage ADR disproportionately.

If you are not yet asking it, the Capability Gap Series is where that kind of thinking is applied systematically to the decisions your operation faces every month and is available to paid subscribers.

If you have read this far perhaps you would be interested in joining me in a Live Chat - a hot seat so to speak. Each month in the Live Chat I am going to invite a subscriber to bring an area to life with me live. Is there a particular topic or burning question you would like to explore let me know in the comments as long as you are happy to come on live to ask whatever you want on that topic.

It is one of those lines so deeply absorbed into business thinking. Everyone knows it. Everyone nods. It is almost universally attributed to Peter Drucker, the management theorist whose fingerprints appear on half the received wisdom in circulation.

There is just one problem. Drucker never said it. The Drucker Institute confirmed as much.

The line almost certainly originated from a 1956 paper by a researcher named V. F. Ridgway. And here is where it gets interesting, because Ridgway was not endorsing the idea. He was warning against it. His paper was titled “Dysfunctional Consequences of Performance Measurements.” The full thought, as later summarised, read:

“What gets measured gets managed, even when it is pointless to measure and manage it, even if it harms the purpose of the organisation to do so.”

A caution, not a prescription. Misquoted, misattributed, and stripped of its warning for seventy years.

There should be a final line that nobody has claimed. I will come back to that shortly.

The checklist is not the management

Almost every SA operator using a tool like Turno has built a cleaning checklist. Photos required. Beds made. Kitchen cleared. Bathroom sanitised. The cleaner works through it, uploads the images, marks the tasks complete. It feels systematic. It looks like a management system.

Ridgway’s warning applies here with some precision. You are measuring. But what are you measuring? Checklist completion. Photo submission. The act of recording, not the standard of execution. A photo of a made bed tells you the bed was made. It does not tell you whether the corners were dressed or the pillowcases correctly orientated or whether the sheets had any stains. A photo of a kitchen counter tells you the surface was cleared. It tells you nothing about the inside of the microwave or oven.

A checklist reviewed two hours after the cleaner has left is not management. It is archaeology.

We use Turno. We have never used the checklist audit capability. That is a conversation for another day, and there is a specific reason we operate that way. What I will say here is this: our cleanliness rating runs between 6.4% and 14.1% above our competitive set for a number of properties and hundreds of reviews. Not because of a more detailed checklist. Because of what the final line produces when you take it seriously.

“What gets measured gets managed. But what gets managed gets done”

This is the additional line nobody seems to have written yet, and it is the one that matters most in practice.

Auditing means reviewing the clean at the time it is completed, before the cleaner leaves and before guests arrive. It means visiting the property, particularly in the early stages of any working relationship. It means providing specific feedback when the standard is not met and recognising clearly when it is. This is not micromanagement. It is the investment through which standards are established and then, over time, maintained without requiring that level of active oversight permanently.

Have you ever visited a completed clean before the cleaner left? If the honest answer is no, or not recently, you do not yet know what your standard actually is in practice. You know what you asked for. You know what the photos showed. Those are not the same thing.

Telling someone what is required is rarely enough on its own. Asking them to self-audit through a checklist, where those records are not reviewed promptly and in detail, compounds the gap rather than closing it. The investment of management time is not an overhead to minimise. It is the mechanism by which the business eventually runs without you needing to be in it constantly.

The operators who have built genuine freedom in their SA businesses did not find it by stepping back early and trusting the process. They found it by stepping in consistently until the standard was embedded, and then stepping back with confidence rather than fingers crossed.

Where this sits in the bigger picture

Measurement without management is comfort without control. Getting the right things done to the right standard, consistently and without your constant presence, is what separates the operators who have built something from those still hoping it holds together.

This distinction sits at the heart of the Capability Gap Series, which examines the thirteen points where operator thinking most consistently breaks down. If you are not yet a paid subscriber, the series is where this kind of thinking gets applied systematically to the decisions your operation faces every month.

Ask yourself one question about that list: when did any of those people last stand in one of your properties between checkouts?

The answer, almost certainly, is never. They serve the acquisition, the finance, and the legal structure. They are property investor infrastructure. They have nothing to do with the guest, with the review, with the revenue your operation generates night after night.

This is not a minor omission. It is the Landlord Trap made visible in a staffing decision. The operator who builds that list and considers it complete is thinking about their SA business the way a property investor thinks about an asset. The person who actually determines whether that asset performs, who touches every turnover, who stands between your guest’s experience and a three-star review, does not appear on the list at all.

Your housekeeper is the most strategically important person in your operation. If you are treating the role accordingly, you are ahead of the majority. If you are not, this is worth sitting with.

We do not use the word “cleaner.” The word describes one task within a role that is closer to quality assurance director than domestic operative. Each of our housekeepers carries the title of Head Housekeeper, with primary responsibility for one property. That title is not a courtesy. It reflects what the role actually is and what we expect it to be.

One of our Head Housekeepers, Maria, refers to her property as her house. That is not a figure of speech. She knows every corner of it, every supply level, every guest quirk she has observed across dozens of stays. During gaps between bookings she has returned unprompted to refresh larder items because she knows their presentation matters. She has left handwritten notes for arriving guests. She has taken in deliveries, helped with early check-ins, and on more than one occasion quietly managed a guest query on a weekend without escalating it. None of that was asked of her.

Is Maria exceptional? Perhaps. But the more useful question is what makes someone like Maria possible. The answer is not luck in recruitment. It is how the role is defined, how it is valued, and how it is compensated. Even then it is a journey and not all whom you hope or you think will make the course, will.

Are all of our Head Housekeepers at Maria’s level? No - do we aspire for them all to be? Yes. Do we berate the rest of the team for not being Maria? No. It’s a journey and its our job to find the route, the coaching and the levers to get there.

What is certain is if you pay the market rate for a cleaner you recruit from the pool of people the market rate attracts. That pool skews toward the disenchanted and the between-things. Pay what the role is actually worth, give it a title that reflects its real scope, and treat the person in it as a professional, and the pool changes entirely. So does the tenure. We want our Head Housekeepers to stay, for years, because continuity of standard is not something you can rebuild from scratch with every new appointment.

The cleanliness score on your OTA listing is one of the most heavily weighted algorithmic factors in how your property is ranked and reviewed. The person responsible for that score is not your accountant. It is not your solicitor. It is not anyone on the standard power team list.

The Drift and the Landlord Trap are ultimately about the same thing: the gap between what serious SA operators say they are building and the actual decisions that reveal what they believe. Building a power team that does not include the person with the greatest day-to-day impact on your guest experience is one of the clearest expressions of that gap.

The Power Team list needs updating.

If the Landlord Trap and the Drift are new to you, both are explored in depth in the Capability Gap Series, available to paid subscribers. The series examines the thirteen (ish) places where operator thinking breaks down, and what the hospitality CEO mindset looks like in practice.

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Today we are introducing Force Two. And this one is already killing operators who don’t know it’s happening.

The Purge Nobody Talks About

Before 2022, Airbnb had no formalised quality enforcement system. Listings were only removed for safety violations, fraud, or party complaints. But if your property was merely mediocre or average - poor photos, average cleanliness, forgettable experience - nobody came knocking. You could sit on the platform indefinitely, collecting whatever scraps the algorithm threw your way.

That world is over.

In 2022, Airbnb introduced its hosting quality system and removed approximately 81,000 listings that failed to meet the new reliability standards. That wasn’t a one-off spring clean. That was the first swing of this particular exit door.

By March 2024, Airbnb removed a further 100,000 listings in a single wave — publicly announced, deliberately visible. The message was unmistakable: this platform is curating its supply, not just hosting it.

The cumulative total now sits above 500,000 listings removed for quality and performance reasons globally. Half a million properties that were generating revenue one month and invisible the next.

And the criteria are tightening, not loosening.

What the Quality System Actually Measures

This isn’t a binary pass or fail on whether your property has a working smoke alarm for example. The hosting quality system now tracks a matrix of performance signals across every booking as explained in the recent post “Top Factors That Make Properties Favourable to Airbnb”:

Check-in experience. Cleanliness scores. Listing accuracy, the gap between what your photos promise and what guests actually find. Communication responsiveness. Overall satisfaction ratings etc.

Each listing receives a range of quality scores. Fall below the algorithm thresholds and your visibility gets suppressed - fewer impressions, lower search ranking, reduced booking velocity. Stay below threshold and you’re removed entirely. No appeal. No second chance. No grandfathering because you’ve been on the platform since 2015.

The algorithm doesn’t care about tenure. It cares about recent guest satisfaction.

The New Listing Safety Net Is Gone Too

Here’s where it gets worse for amateur operators planning to enter the market.

Airbnb historically gave new listings a 30-day visibility boost - a temporary leg-up in search rankings to help properties establish themselves. The most rigorous independent analysis available (Homesberg, analysing 85,000 first-page searches over 189 days across global markets) found that from mid-July 2025, new listing visibility on page one dropped from 6.6% to 3.3%.

Airbnb halved the boost without announcing it.

Some analysts go further. Triad Vacation Rentals, in their December 2025 algorithm analysis, state bluntly that the boost is gone entirely - new listings now start with a baseline trust score and must earn every impression through demonstrated performance.

Either way, the implication is the same: you can no longer launch a property and hope the algorithm carries you while you figure things out. Day one performance matters. If your listing doesn’t convert from the moment it goes live — photography, copy, pricing, operational readiness and execution that delivers 5* reviews - you sink before you swim.

What This Actually Means

Most people in this industry will read these numbers as bad news. More regulation. More barriers. More risk.

They’re wrong.

What Airbnb is doing is removing our worst competitors. Half a million of them, so far, with more to come. Every listing removed for poor quality is one fewer property suppressing your ADR, one fewer race-to-the-bottom pricing anchor dragging down your market, one fewer substandard experience eroding guest confidence in the entire SA category and Airbnb.

If you operate professionally - if your photography converts, your cleanliness scores are exceptional, your booking and check-in experience is frictionless and seamless, and your guests leave reviews because they genuinely want to tell others about their stay - then every single one of these changes makes your position stronger.

The platform is actively protecting operators who deliver. And actively eliminating those who don’t.

The question is which side of that line you’re on.

Since Saturday that the Algorithm changes, the AI distribution and now the quality purge.

But there’s a third force - a quiet organisational shift Airbnb has made that almost nobody in the SA industry has noticed and when you see all three together, a pattern emerges that fundamentally cements the strategic calculus for professional operators.

In this week’s full SA Paradigm post for paid subscribers, I will connect all three forces into a single convergence thesis and explain why the operators who understand it, acknowledge it and act on it, will find every one of these changes working in their favour. We will also identify the one change that makes your hospitality expertise, not your property portfolio the most valuable asset you own.

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It’s the wrong question, but I understand why they ask it. Watching 15.5% of every booking disappear into Airbnb’s accounts can feel expensive. It might feel like you’re funding someone else’s business whilst building nothing of your o…

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Some of the most useful strategies from our properties don’t require 2,000 words. They need focused delivery: single observations backed by performance data that you can apply immediately.

Every edition will include a core insight (myth-bust, tactical strategy, or operational observation) and a selection of other “Snippets” from:

• Performance benchmarks from our properties

• Observations on the industry

• Practical applications you can implement

• Hints and Tips with rationale

• Polls or Questions

First edition this Weekend: “Why Exceptional Operators Stop Worrying About OTA Dependency”

Plus January operational data you can use as benchmarks, and a question about your concerns for 2026.

It is just the same evidence based approach as our comprehensive posts. Different format, same standards.

If you prefer to receive only our longer analyses? You can simply adjust your subscription settings below.

What operational topic or question should I tackle in The Brief? Let me know - I read every response.

Have a great weekend

David